Systems and methods for energy delivery

Information

  • Patent Grant
  • 10531917
  • Patent Number
    10,531,917
  • Date Filed
    Thursday, April 13, 2017
    7 years ago
  • Date Issued
    Tuesday, January 14, 2020
    4 years ago
Abstract
The present invention relates to comprehensive systems and methods for delivering energy to tissue for a wide variety of applications, including medical procedures (e.g., tissue ablation, resection, cautery, vascular thrombosis, treatment of cardiac arrhythmias and dysrhythmias, electrosurgery, tissue harvest, etc.). In certain embodiments, systems and methods are provided for identifying and treating a target tissue region adjusting for ablation-related anatomical changes (e.g., tissue contraction).
Description
FIELD OF INVENTION

The present invention relates to comprehensive systems and methods for delivering energy to tissue for a wide variety of applications, including medical procedures (e.g., tissue ablation, resection, cautery, vascular thrombosis, treatment of cardiac arrhythmias and dysrhythmias, electrosurgery, tissue harvest, etc.). In certain embodiments, systems and methods are provided for identifying and treating a target tissue region adjusting for ablation-related anatomical changes (e.g., tissue contraction).


BACKGROUND

Energy delivery devices (e.g., antennas, probes, electrodes, etc) (e.g., microwave ablation devices) (e.g., radiofrequency ablation devices) are used to deliver energy to a desired tissue region for purposes of “treating” a desired tissue region. Ablation therapy (e.g., microwave ablation, radiofrequency ablation) is a widely used, minimally invasive technique for the treatment of various conditions and/or disorders (e.g., tumor cells). Within such techniques, ablation energy (e.g., microwave energy) (e.g., radiofrequency energy) is used to heat a desired tissue region to a desired temperature to cause tissue destruction in the heated region.


The success of an ablation procedure is generally dependent upon maximizing the amount of desired tissue ablation and minimizing the amount of undesired tissue ablation. Such success is dependent upon the precise and accurate identification of a targeted tissue region, positioning of the energy delivery device at such an identified targeted tissue region, and delivery of such energy to the identified tissue region.


Improved techniques for accurately and precisely identifying a targeted tissue region targeted for an ablation procedure are needed.


The present invention addresses this need.


SUMMARY

Current techniques for identifying a targeted tissue region for an ablation procedure involve, for example, use of CT imaging or other imaging modalities. For example, CT imaging is used to locate and identify the specific anatomical region (e.g., three-dimensional anatomical dimension) to be ablated and based on that identified location, positioning of an energy delivery device at that identified location, and delivering ablation energy to the identified location.


A problem that limits the success for the ablation procedure, however, involves anatomical changes a targeted tissue region undergoes while being ablated. Indeed, the anatomical dimension of a tissue region undergoing an ablation procedure changes as the tissue region is ablated. For example, the anatomical dimension of a tissue region undergoes contraction during ablation which changes the pre and post procedure anatomical dimensions of the tissue region. Such anatomical changes that occur during the procedure (e.g., contraction) result in exposure of undesired tissue (e.g., healthy tissue) to the ablation energy. Such undesired ablation of non-targeted tissue not only compromises the success of the ablation procedure, but can result in serious adverse health consequences, particularly if the ablation zone is near healthy critical tissues or structures. If one attempts to compensate by selecting a smaller zone, one risks not destroying all of the intended tissue, which may make the treatment less efficacious, or in the case of tumor ablation, allow for tumor regrowth and metastasis.


The current techniques used to locate and identify the specific anatomical region (e.g., three-dimensional anatomical dimension) to be ablated (e.g., CT scan) fail to accommodate such anatomical changes (e.g., tissue contraction) as a targeted tissue region undergoes an ablation procedure.


The present invention provides systems, materials and methods that permit identification and location of a targeted tissue region that accommodates such anatomical changes (e.g., tissue contraction) as a targeted tissue region undergoes an ablation procedure.


In certain embodiments, the present invention provides systems comprising an energy delivery device and a processor, wherein the processor is configured to identify, select, and/or modify a target tissue region, adjusting for ablation-related anatomical changes.


In some embodiments, identifying the targeted tissue region adjusting for ablation-related anatomical changes comprises receiving information regarding the tissue region and the energy delivery device, computing a contraction region within the tissue region, determining expected contraction points within the tissue region, computing expected contraction deformations within the tissue region (e.g., determining the expected contraction distances (e.g., largest and smallest) and directions for each contraction point), applying the computed expected contraction deformations, and identifying and reporting the target tissue region adjusted for ablation-related anatomical changes.


In some embodiments, the processor is in communication with the energy delivery device. In some embodiments, the processor is configured to position the energy delivery device at a desired tissue region and/or to control energy delivery during an ablation procedure. In some embodiments, the desired tissue region is the identified target tissue region adjusted for ablation-related anatomical changes.


In some embodiments, the processor provides information regarding the contraction points to a user (e.g., via a processor based visual display; via wireless communication, etc.). For example, in some embodiments, the tissue region is provided along with the contraction points and the computed contraction point distances and directions for each point during the procedure (e.g., prior, after, and at any point during the procedure). In some embodiments, the minimum and maximum margin distances for the tissue region and each contraction point is provided.


In certain embodiments, the processor is configured to measure the smallest and largest distance between the target tissue region before and after ablation (e.g., ablation after contraction). In some embodiments, such measured distances are used to determine if desired margins are met during and following an ablation procedure.


In some embodiments, the processor is configured to quantify and compare the distance difference and/or direction difference between a targeted tissue region prior to adjustment for ablation-related anatomical changes and a targeted tissue region prior to adjustment for ablation-related anatomical changes. In some embodiments, the processor is configured to quantify and compare the actual distance difference and/or direction difference (e.g., prior to ablation procedure and post ablation procedure) between a targeted tissue region not adjusted for ablation-related anatomical changes and a targeted tissue region adjusted for ablation-related anatomical changes.


In certain embodiments, the processor is configured to monitor and/or control and/or provide feedback concerning one or more aspects during the ablation procedure. For example, in some embodiments, the processor is configured to monitor the predicted contraction point distance and direction for each contraction point during the ablation procedure. In some embodiments, the processor is configured to stop the ablation procedure if the predicted contraction point distance and/or direction for one or more contraction points is inconsistent with the actual respective contraction point distance and/or direction. In some embodiments, the processor is configured to adjust the amount of energy delivered (e.g., raise or lower) during the ablation procedure if the predicted contraction point distance and/or direction for one or more contraction points is inconsistent with the actual respective contraction point distance and/or direction. In some embodiments, the processor is configured to re-calculate contraction point distances and/or directions for one or more contraction points if the predicted contraction point distance and/or direction for one or more contraction points is inconsistent with the actual respective contraction point distance and/or direction. In some embodiments, the processor is configured to identify new contraction point and/or re-calculate contraction point distances and/or directions for one or more existing contraction points if the predicted contraction point distance and/or direction for one or more contraction points is inconsistent with the actual contraction point distance and/or direction for each contraction point. In some embodiments, processor is configured to make similar adjustments based upon differences in predicted versus actual temperature differences within the tissue region, predicted versus actual temperature differences in the energy delivery device, etc.


In some embodiments, the systems further comprise a power supply electrically connected to the energy delivery device.


In certain embodiments, the present invention provides methods for ablating a tissue region comprising providing such a system, identifying a target tissue region adjusted for ablation-related anatomical changes with the processor, positioning the energy delivery device at the identified targeted tissue region adjusted for ablation-related anatomical changes, and ablating the tissue region (e.g., and not ablating tissue outside of the target tissue region). In some embodiments, the target tissue region is identified and/or modified during an ablation procedure.


In some embodiments, tissue region is within a subject (e.g., a human subject).


In some embodiments, the tissue region ablated does not include tissue not included in the identified target tissue region adjusted for ablation-related anatomical changes.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 shows a schematic of an exemplary process used for generating a target tissue region adjusting for ablation-related anatomical changes (e.g., tissue contraction).





DETAILED DESCRIPTION

Current techniques used to locate and identify a specific anatomical region (e.g., three-dimensional anatomical dimension) to be ablated (e.g., via CT scan) fail to accommodate for anatomical changes (e.g., tissue contraction) as a target tissue region undergoes an ablation procedure. Such anatomical changes result in undesired ablation of healthy tissue or otherwise cause over- or under-ablation of tissues, inconsistent with the goals of the procedure


The present invention provides systems, materials and methods that permit identification, location, and ablation of a target tissue regions that accommodate such anatomical changes (e.g., tissue contraction) as a target tissue region undergoes an ablation procedure.


In some embodiments, a processor (e.g., computer) is used to identify and locate a target tissue region or regions from tissue imaging data that accommodate such anatomical changes (e.g., tissue contraction). In some embodiments, the processor uses software that assesses the presence and absence of variables associated with the tissue region to be ablated and variables associated with the type of energy delivery device and energy to be used during the procedure.


Examples of such variables associated with the tissue region to be ablated and variables associated with the type of energy delivery device and energy to be used during the procedure include, but are not limited to, the type of energy to be utilized during the procedure (e.g., microwave or radiofrequency, or both), the length of time for the procedure, the range of temperatures to be achieved during the procedure (e.g., temperate(s) at the tissue), the type of tissue region undergoing the procedure (e.g., liver, lung, heart, kidney, solid tumor, etc.), the temperature of the tissue region, the age of the subject, the overall health of the subject, etc.


In some embodiments, identification of a target tissue region involves computations based upon the input variables (e.g., variables associated with the tissue region to be ablated and variables associated with the type of energy delivery device and energy to be used during the procedure).


In some embodiments, such computations predict the amount and type of anatomical change the desired tissue region will undergo during a procedure based upon the inputted variable information.


In some embodiments, such computations involve determining contraction points, computing a contraction region, computing contraction deformations, applying such contraction deformations, and generating a target tissue region adjusting for ablation-related anatomical changes (e.g., tissue contraction).


Such assessments are not limited to a particular manner of determining contraction points and computing a contraction region. In some embodiments, the method determines the contraction points through computing an approximation of the total extent of the tissue region (e.g., organ tissue) which is contracted during the ablation procedure. The approximation may be morphological or based on the type of tissue and nearby structures. In some embodiments, the method computes the contraction region through utilizing the knowledge that at a point of contraction the tissue will contract the most and will reduce as a function of distance and direction from that point. In such embodiments, the method computes one or more points of contraction within the ablated area. The computation may be based on geometry of the ablated area or the positioning of the ablation probes.


Such methods are not limited to a particular manner of computing contraction deformations. In some embodiments, the method utilizes the knowledge that, due to the nature of the contraction, every location within the contraction region(s) is transformed to some degree, and that the amount of the transformation is a function of the distance and direction from a contraction point. In some embodiments, a computed contraction deformation could include a set distance and direction or could include multiple distances for multiple direction changes. The function may be geometric, based on the distance and direction from a contraction point, or physical, based on characteristics of the tissues at that location and structures in the region. In some embodiments, the actual contraction distance is predicted for each contraction point pre-ablation and post-ablation. In some embodiments, the actual contraction direction (including potentially multiple direction changes) is predicted for each contraction point pre-ablation and post-ablation. In some embodiments, both the actual contraction distance and direction (including potentially multiple direction changes) is predicted for each contraction point pre-ablation and post-ablation. For example, for a certain contraction point, the amount of contraction distance and direction (including potentially multiple direction changes) is measured. In some embodiments, the processor is configured to compare the predicted contraction distance and direction and the actual contraction distance and direction for each contraction point.


Those transformations may be described as deformations stored in a deformation grid. The deformation at each location may be described as a vector whose magnitude and direction describe the characteristics of the contraction. For example, in some embodiments, each element of the deformation grid may be defined by a vector which points in the direction of the contraction point and its magnitude may be defined as a linear function of the distance from the contraction point.


Such methods are not limited to a particular manner of applying the deformations. In some embodiments, this process applies the characteristics of the contraction, as described by the deformations, to the tissue region to be ablated. At each location within the ablation region, upon determination that it intersects the target, the amount of transformation from the deformation grid at that corresponding location is determined. In some embodiments, if the target does not intersect the ablation region, the magnitude of the transformation is applied a value (e.g., zero). In some embodiments, the dimensions of the tissue region to be ablated are adjusted based upon such adjustments (e.g., the tissue region is transformed to the new location based on the direction and magnitude of the transformation).



FIG. 1 shows a schematic of an exemplary method used to generate a target tissue region, adjusting for ablation-related anatomical changes (e.g., tissue contraction). As can be seen, the storage device (e.g., computer) receives information regarding the tissue region to be ablated and additional factors. Next, the system determines contraction points and computes a contraction region. Next, contraction deformations are computed based upon the determined contraction points and the computed contraction region. Finally, deformations are applied based upon the computed contraction deformations, and a target tissue region adjusting for ablation-related anatomical changes (e.g., tissue contraction) is generated.


In certain embodiments, the system communicates with the energy delivery device or an operator such that the energy delivery device is properly positioned at an identified target tissue region so as to effect an ablation that will ablate the desired tissue, accounting for tissue contraction caused by the ablation process.


In certain embodiments, the present invention provides systems for treating a tissue region within a subject. In some embodiments, such systems comprise a processor as described above (with associated software), and an energy delivery device or devices. In some embodiments, the processor is configured to communicate with the energy delivery device. In some embodiments, the systems further comprise an energy generator in communication with the energy delivery device.


In certain embodiments, the present invention provides systems for the delivery of ablation energy comprising a power supply, delivering power management system (e.g., a power splitter to control power delivery to two or more probes), a processor, an energy emitting device (e.g., ablation probe), a cooling system, an imaging system, a temperature monitoring system, and/or a procedure tracking system.


In certain embodiments, the processor is further configured to quantify and compare the distance and direction difference between a targeted tissue region prior to adjustment for ablation-related anatomical changes and a targeted tissue region prior to adjustment for ablation-related anatomical changes. Similarly, in some embodiments, the processor is configured to quantify and compare the actual distance and direction difference (e.g., prior to ablation procedure and post ablation procedure) between a targeted tissue region not adjusted for ablation-related anatomical changes and a targeted tissue region adjusted for ablation-related anatomical changes.


In certain embodiments, the processor provides information regarding the contraction points to a user (e.g., via a processor based visual display, via wireless communication, etc.). For example, in some embodiments, the tissue region is provided along with the contraction points and the computed contraction point distances and directions for each point during the procedure (e.g., prior, after, and at any point during the procedure). In some embodiments, the minimum and maximum margin distances and directions for the tissue region and each contraction point is provided.


In certain embodiments, the processor is configured to measure the smallest and largest distance between the target tissue region before and after ablation (e.g., ablation after contraction). In some embodiments, such measured distances are used to determine if desired margins are met during and following an ablation procedure.


In certain embodiments, the processor is configured to monitor and/or control and/or provide feedback concerning one or more aspects during the ablation procedure. For example, in some embodiments, the processor is configured to monitor the predicted contraction point distance and/or direction for each contraction point during the ablation procedure. In some embodiments, the processor is configured to stop the ablation procedure if the predicted contraction point distance and/or direction for one or more contraction points is inconsistent with the actual respective contraction point distance and/or direction. In some embodiments, the processor is configured to adjust the amount of energy delivered (e.g., raise or lower) during the ablation procedure if the predicted contraction point distance and/or direction for one or more contraction points is inconsistent with the actual respective contraction point distance and/or direction. In some embodiments, the processor is configured to re-calculate contraction point distances and/or directions for one or more contraction points if the predicted contraction point distance and/or direction for one or more contraction points is inconsistent with the actual respective contraction point distance and/or direction. In some embodiments, the processor is configured to identify new contraction points and/or re-calculate contraction point distances and/or directions for one or more existing contraction points if the predicted contraction point distance and/or direction for one or more contraction points is inconsistent with the actual contraction point distance and/or direction for each contraction point. In some embodiments, processor is configured to make similar adjustments based upon differences in predicted versus actual temperature differences within the tissue region, temperature differences in the energy delivery device, etc.


In certain embodiments, the processor is configured to measure the smallest and largest distance between the target tissue region before and after ablation (e.g., ablation after contraction). In some embodiments, such measured distances are used to determine if desired margins are met during and following an ablation procedure.


The systems of the present invention may be combined within various system/kit embodiments. For example, in some embodiments, systems comprising one or more or all of a computer having a processor, a generator, a power distribution system, and an energy applicator, along with any one or more accessory component (e.g., surgical instruments, temperature monitoring devices, etc.). Exemplary system components are described in U.S. Pat. Nos. 7,101,369, 9,072,532, 9,119,649, and 9,192,438 and U.S. Publ. No. 20130116679, each of which is herein incorporated by reference in its entirety.


The systems of the present invention may be used in any medical procedure involving delivery of energy (e.g., radiofrequency energy, microwave energy, laser, focused ultrasound, etc.) to a tissue region.


The systems are not limited to treating a particular type or kind of tissue region (e.g., brain, liver, heart, blood vessels, foot, lung, bone, etc.). In some embodiments, the systems find use in ablating tumor regions. Additional treatments include, but are not limited to, treatment of heart arrhythmia, tumor ablation (benign and malignant), control of bleeding during surgery, after trauma, for any other control of bleeding, removal of soft tissue, tissue resection and harvest, treatment of varicose veins, intraluminal tissue ablation (e.g., to treat esophageal pathologies such as Barrett's Esophagus and esophageal adenocarcinoma), treatment of bony tumors, normal bone, and benign bony conditions, intraocular uses, uses in cosmetic surgery, treatment of pathologies of the central nervous system including brain tumors and electrical disturbances, sterilization procedures (e.g., ablation of the fallopian tubes) and cauterization of blood vessels or tissue for any purposes. In some embodiments, the surgical application comprises ablation therapy (e.g., to achieve coagulative necrosis). In some embodiments, the surgical application comprises tumor ablation to target, for example, primary or metastatic tumors. In some embodiments, the surgical application comprises the control of hemorrhage (e.g. electrocautery). In some embodiments, the surgical application comprises tissue cutting or removal.


The energy delivery systems contemplate the use of any type of device configured to deliver (e.g., emit) energy (e.g., ablation device, surgical device, etc.) (see, e.g., U.S. Pat. Nos. 7,101,369, 7,033,352, 6,893,436, 6,878,147, 6,823,218, 6,817,999, 6,635,055, 6,471,696, 6,383,182, 6,312,427, 6,287,302, 6,277,113, 6,251,128, 6,245,062, 6,026,331, 6,016,811, 5,810,803, 5,800,494, 5,788,692, 5,405,346, 4,494,539, U.S. patent application Ser. Nos. 11/728,460, 11/728,457, 11/728,428, 11/237,136, 11/236,985, 10/980,699, 10/961,994, 10/961,761, 10/834,802, 10/370,179, 09/847,181; Great Britain Patent Application Nos. 2,406,521, 2,388,039; European Patent No. 1395190; and International Patent Application Nos. WO 06/008481, WO 06/002943, WO 05/034783, WO 04/112628, WO 04/033039, WO 04/026122, WO 03/088858, WO 03/039385 WO 95/04385; each herein incorporated by reference in their entireties). Such devices include any and all medical, veterinary, and research applications devices configured for energy emission, as well as devices used in agricultural settings, manufacturing settings, mechanical settings, or any other application where energy is to be delivered.


In some embodiments, the energy delivery systems utilize processors that monitor and/or control and/or provide feedback concerning one or more of the components of the system. In some embodiments, the processor is provided within a computer module. For example, in some embodiments, the systems provide software for regulating the amount of microwave energy provided to a tissue region through monitoring one or more characteristics of the tissue region including, but not limited to, the size and shape of a target tissue, the temperature of the tissue region, and the like (e.g., through a feedback system) (see, e.g., U.S. patent application Ser. Nos. 11/728,460, 11/728,457, and 11/728,428; each of which is herein incorporated by reference in their entireties). In some embodiments, the software is configured to provide information (e.g., monitoring information) in real time. In some embodiments, the software is configured to interact with the energy delivery systems such that it is able to raise or lower (e.g., tune) the amount of energy delivered to a tissue region. In some embodiments, the software is designed to regulate coolant. In some embodiments, the type of tissue being treated (e.g., liver) is inputted into the software for purposes of allowing the processor to regulate (e.g., tune) the delivery of energy to the tissue region based upon pre-calibrated methods for that particular type of tissue region. In other embodiments, the processor generates a chart or diagram based upon a particular type of tissue region displaying characteristics useful to a user of the system. In some embodiments, the processor provides energy delivering algorithms for purposes of, for example, slowly ramping power to avoid tissue cracking due to rapid out-gassing created by high temperatures. In some embodiments, the processor allows a user to choose power, duration of treatment, different treatment algorithms for different tissue types, simultaneous application of power to the antennas in multiple antenna mode, switched power delivery between antennas, coherent and incoherent phasing, etc. In some embodiments, the processor is configured for the creation of a database of information (e.g., required energy levels, duration of treatment for a tissue region based on particular patient characteristics) pertaining to ablation treatments for a particular tissue region based upon previous treatments with similar or dissimilar patient characteristics. In some embodiments, the processor is operated by remote control.


In some embodiments, user interface software is provided for monitoring and/or operating the components of the energy delivery systems. In some embodiments, the user interface software is operated by a touch screen interface. In some embodiments, the user interface software may be implemented and operated within a sterile setting (e.g., a procedure room) or in a non-sterile setting. In some embodiments, the user interface software is implemented and operated within a procedure device hub (e.g., via a processor). In some embodiments, the user interface software is implemented and operated within a procedure cart (e.g., via a processor). The user interface software is not limited to particular functions. Examples of functions associated with the user interface software include, but are not limited to, tracking the number of uses per component within the energy delivery system (e.g., tracking the number of times an energy delivery device is used), providing and tracking real time temperatures of each component or parts of each component (e.g., providing real time temperature of different locations along an energy delivery device (e.g., at the handle, at the stick, at the tip)) (e.g., providing real time temperature of the cables associated with the energy delivery systems), providing and tracking real time temperature of the tissue being treated, providing an automatic shut off for the part or all of the energy delivery system (e.g., an emergency shut off), generation of reports based upon the data accumulated, for example, prior to, during and after a procedure, providing audible and/or visual alerts to a user (e.g., alerts indicating a procedure has begun and/or is finished, alerts indicating a temperature has reached an aberrant level, alerts indicating the length of the procedure has gone beyond a default, etc.).


In some embodiments, the energy delivery systems utilize imaging systems comprising imaging devices. The energy delivery systems are not limited to particular types of imaging devices (e.g., endoscopic devices, stereotactic computer assisted neurosurgical navigation devices, thermal sensor positioning systems, motion rate sensors, steering wire systems, intraprocedural ultrasound, interstitial ultrasound, microwave imaging, acoustic tomography, dual energy imaging, fluoroscopy, computerized tomography magnetic resonance imaging, nuclear medicine imaging devices triangulation imaging, thermoacoustic imaging, infrared and/or laser imaging, electromagnetic imaging) (see, e.g., U.S. Pat. Nos. 6,817,976, 6,577,903, and 5,697,949, 5,603,697, and International Patent Application No. WO 06/005,579; each herein incorporated by reference in their entireties). In some embodiments, the systems utilize endoscopic cameras, imaging components, and/or navigation systems that permit or assist in placement, positioning, and/or monitoring of any of the items used with the energy systems of the present invention.


In some embodiments, the energy delivery systems utilize tuning elements for adjusting the amount of energy delivered to the tissue region. In some embodiments, the tuning element is manually adjusted by a user of the system. In some embodiments, a tuning system is incorporated into an energy delivery device so as to permit a user to adjust the energy delivery of the device as desired (see, e.g., U.S. Pat. Nos. 5,957,969, 5,405,346; each herein incorporated by reference in their entireties).


In some embodiments, the energy delivery systems utilize coolant systems so as to reduce undesired heating within and along an energy delivery device (e.g., tissue ablation catheter). The systems are not limited to a particular cooling system mechanism.


In some embodiments, the energy delivering systems utilize temperature monitoring systems. In some embodiments, temperature monitoring systems are used to monitor the temperature of an energy delivery device (e.g., with a temperature sensor). In some embodiments, temperature monitoring systems are used to monitor the temperature of a tissue region (e.g., tissue being treated, surrounding tissue). In some embodiments, the temperature monitoring systems are designed to communicate with a processor for purposes of providing temperature information to a user or to the processor to allow the processor to adjust the system appropriately.


The system may further employ one or more additional components that either directly or indirectly take advantage of or assist the features of the present invention. For example, in some embodiments, one or more monitoring devices are used to monitor and/or report the function of any one or more components of the system. Additionally, any medical device or system that might be used, directly or indirectly, in conjunction with the devices of the present invention may be included with the system. Such components include, but are not limited to, sterilization systems, devices, and components, other surgical, diagnostic, or monitoring devices or systems, computer equipment, handbooks, instructions, labels, and guidelines, robotic equipment, and the like.


The systems are not limited to particular uses. Indeed, the energy delivery systems of the present invention are designed for use in any setting wherein the emission of energy is applicable. Such uses include any and all medical, veterinary, and research applications. In addition, the systems and devices of the present invention may be used in agricultural settings, manufacturing settings, mechanical settings, or any other application where energy is to be delivered. In some embodiments, the systems are configured for open surgery, percutaneous, intravascular, intracardiac, endoscopic, intraluminal, laparoscopic, or surgical delivery of energy. In some embodiments, the energy delivery devices may be positioned within a patient's body through a catheter, through a surgically developed opening, and/or through a body orifice (e.g., mouth, ear, nose, eyes, vagina, penis, anus) (e.g., a N.O.T.E.S. procedure). In some embodiments, the systems are configured for delivery of energy to a target tissue or region.


The present invention is not limited by the nature of the target tissue or region. Uses include, but are not limited to, treatment of heart arrhythmia, tumor ablation (benign and malignant), control of bleeding during surgery, after trauma, for any other control of bleeding, removal of soft tissue, tissue resection and harvest, treatment of varicose veins, intraluminal tissue ablation (e.g., to treat esophageal pathologies such as Barrett's Esophagus and esophageal adenocarcinoma), treatment of bony tumors, normal bone, and benign bony conditions, intraocular uses, uses in cosmetic surgery, treatment of pathologies of the central nervous system including brain tumors and electrical disturbances, sterilization procedures (e.g., ablation of the fallopian tubes) and cauterization of blood vessels or tissue for any purposes. In some embodiments, the surgical application comprises ablation therapy (e.g., to achieve coagulative necrosis). In some embodiments, the surgical application comprises tumor ablation to target, for example, metastatic tumors. In some embodiments, the device is configured for movement and positioning, with minimal damage to the tissue or organism, at any desired location, including but not limited to, the brain, neck, chest, abdomen, and pelvis. In some embodiments, the systems are configured for guided delivery, for example, by computerized tomography, ultrasound, magnetic resonance imaging, fluoroscopy, and the like.


In certain embodiments, the present invention provides methods of treating a tissue region, comprising providing a tissue region and a system described herein (e.g., an energy delivery device, and at least one of the following components: a processor utilizing an algorithm of the present invention, a power supply, a temperature monitor, an imager, a tuning system, and/or a temperature reduction system); identifying and locating a targeted tissue region adjusting for expected ablation-related anatomical changes (e.g., tissue contraction); positioning a portion of the energy delivery device in the vicinity of the tissue region, and delivering an amount of energy with the device to the tissue region. In some embodiments, the tissue region is a tumor. In some embodiments, the delivering of the energy results in, for example, the ablation of the tissue region and/or thrombosis of a blood vessel, and/or electroporation of a tissue region. In some embodiments, the tissue region is a tumor. In some embodiments, the tissue region comprises one or more of the heart, liver, genitalia, stomach, lung, large intestine, small intestine, brain, neck, bone, kidney, muscle, tendon, blood vessel, prostate, bladder, and spinal cord.


All publications and patents mentioned in the above specification are herein incorporated by reference in their entirety for all purposes. Various modifications and variations of the described compositions, methods, and uses of the technology will be apparent to those skilled in the art without departing from the scope and spirit of the technology as described. Although the technology has been described in connection with specific exemplary embodiments, it should be understood that the invention as claimed should not be unduly limited to such specific embodiments. Indeed, various modifications of the described modes for carrying out the invention that are obvious to those skilled in the art are intended to be within the scope of the following claims.

Claims
  • 1. A system comprising an energy delivery device and a processor, wherein the processor is configured to identify a target tissue region adjusted for ablation-related anatomical changes, wherein identifying the target tissue region adjusted for expected ablation-related anatomical changes comprises:a) receiving information regarding the tissue region and the energy delivery device,b) computing a contraction region within the tissue region,c) determining contraction points within the tissue region,d) computing contraction deformations within the tissue region,e) applying the computed contraction deformations, andf) identifying the target tissue region adjusted for ablation-related anatomical changes.
  • 2. The system of claim 1, wherein the processor is in communication with the energy delivery device.
  • 3. The system of claim 2, wherein the processor is configured to guide positioning of the energy delivery device to a desired tissue region.
  • 4. The system of claim 3, wherein the desired tissue region is the identified target tissue region.
  • 5. The system of claim 1, further comprising a power supply electrically connected to the energy delivery device.
  • 6. The system of claim 2, wherein the contraction deformations comprise contraction point distances and contraction point directions for each contraction point.
  • 7. The system of claim 6, wherein the contraction point directions for each contraction point comprises one or more direction changes.
  • 8. A method of ablating a tissue region comprising providing a system as described in claim 1, identifying a target tissue region adjusted for ablation-related anatomical changes, positioning the energy delivery device at the identified target tissue region, and ablating the tissue region.
  • 9. The method of claim 8, wherein the tissue region is within a subject.
  • 10. The method of claim 9, wherein the subject is a human subject.
  • 11. The method of claim 8, wherein the ablated tissue region does not include tissue not included in the identified target tissue region.
US Referenced Citations (448)
Number Name Date Kind
3800552 Sollami Apr 1974 A
3838242 Goucher Sep 1974 A
3991770 LeVeen Nov 1976 A
4057064 Morrison Nov 1977 A
4074718 Morrison Feb 1978 A
4312364 Convert Jan 1982 A
4375220 Matvias Mar 1983 A
4446874 Vaguine May 1984 A
4494539 Zenitani Jan 1985 A
4534347 Taylor Aug 1985 A
4557272 Carr Dec 1985 A
4586491 Carpenter May 1986 A
4589424 Vaguine May 1986 A
4601296 Yerushalmi et al. Jul 1986 A
4621642 Chen Nov 1986 A
4627435 Hoskin Dec 1986 A
4641649 Walinsky Feb 1987 A
4643186 Rosen Feb 1987 A
4662383 Sogawa May 1987 A
4700716 Kasevich Oct 1987 A
4712559 Turner Dec 1987 A
4776086 Kasevich Oct 1988 A
4790311 Ruiz Dec 1988 A
4800899 Elliott et al. Jan 1989 A
4860752 Turner Aug 1989 A
4880015 Nierman Nov 1989 A
4901719 Trenconsky Feb 1990 A
4945912 Langberg Aug 1990 A
4974587 Turner et al. Dec 1990 A
5007437 Sterzer Apr 1991 A
5026959 Ito Jun 1991 A
5057104 Chess Oct 1991 A
5057106 Kasevich Oct 1991 A
5074861 Schneider Dec 1991 A
RE33791 Carr Jan 1992 E
5098429 Sterzer Mar 1992 A
5129396 Rosen Jul 1992 A
5150717 Rosen Sep 1992 A
5167619 Wuchinich Dec 1992 A
5211625 Sakurai May 1993 A
5213561 Weinstein et al. May 1993 A
5246438 Langberg Sep 1993 A
5248312 Langberg Sep 1993 A
5275597 Higgins Jan 1994 A
5277201 Stern Jan 1994 A
5281213 Milder Jan 1994 A
5281217 Edwards Jan 1994 A
5295955 Rosen Mar 1994 A
5300099 Rudie Apr 1994 A
5301687 Wong Apr 1994 A
5314466 Stern May 1994 A
5344418 Ghaffari Sep 1994 A
5344435 Turner Sep 1994 A
5348554 Imran Sep 1994 A
5358515 Hurter Oct 1994 A
5364392 Warner Nov 1994 A
5366490 Edwards Nov 1994 A
5369251 King Nov 1994 A
5370678 Edwards Dec 1994 A
5405346 Grundy Apr 1995 A
5431649 Mulier Jul 1995 A
5433740 Yamaguchi Jul 1995 A
5456684 Schmidt Oct 1995 A
5462556 Powers Oct 1995 A
5472423 Gronauer Dec 1995 A
5480417 Hascoet Jan 1996 A
5489256 Adair Feb 1996 A
5507743 Edwards Apr 1996 A
5531677 Lundquist Jul 1996 A
5540649 Bonnell et al. Jul 1996 A
5559295 Sheryll Sep 1996 A
5575794 Walus Nov 1996 A
5578029 Trelles Nov 1996 A
5591227 Dinh Jan 1997 A
5597146 Putman Jan 1997 A
5599295 Rosen Feb 1997 A
5599352 Dinh Feb 1997 A
5603697 Grundy Feb 1997 A
5620479 Diederich Apr 1997 A
5643175 Adair Jul 1997 A
5647871 Levine Jul 1997 A
5688267 Panescu Nov 1997 A
5693082 Warner Dec 1997 A
5697949 Giurtino Dec 1997 A
5716389 Walinsky Feb 1998 A
5737384 Fenn Apr 1998 A
5741249 Moss Apr 1998 A
5755752 Segal May 1998 A
5755754 Rudie May 1998 A
5759200 Azar Jun 1998 A
5776129 Mersch Jul 1998 A
5776176 Rudie Jul 1998 A
5782827 Gough Jul 1998 A
5788692 Campbell Aug 1998 A
5788694 Vancaillie Aug 1998 A
5800494 Campbell Sep 1998 A
5810803 Moss Sep 1998 A
5810804 Gough Sep 1998 A
5849029 Eckhouse Dec 1998 A
5902251 Vanhooydonk May 1999 A
5904709 Arndt et al. May 1999 A
5921935 Hickey Jul 1999 A
5957969 Warner Sep 1999 A
5963082 Dick Oct 1999 A
5995875 Blewett Nov 1999 A
6002968 Edwards Dec 1999 A
6012457 Lesh Jan 2000 A
6016811 Knopp Jan 2000 A
6026331 Feldberg Feb 2000 A
6044846 Edwards Apr 2000 A
6056744 Edwards May 2000 A
6067475 Graves May 2000 A
6073052 Zelickson Jun 2000 A
6083255 Laufer Jul 2000 A
6086529 Arndt Jul 2000 A
6091995 Ingle et al. Jul 2000 A
6097985 Kasevich Aug 2000 A
6102885 Bass Aug 2000 A
6104959 Spertell Aug 2000 A
6106524 Eggers Aug 2000 A
6120496 Whayne Sep 2000 A
6165163 Chien et al. Dec 2000 A
6174307 Daniel et al. Jan 2001 B1
6182666 Dobak, III Feb 2001 B1
6188930 Carson Feb 2001 B1
6190382 Ormsby Feb 2001 B1
6208903 Richards Mar 2001 B1
6210323 Gilhuly et al. Apr 2001 B1
6223085 Dann Apr 2001 B1
6230060 Mawhinney May 2001 B1
6235022 Hallock May 2001 B1
6241725 Cosman Jun 2001 B1
6245062 Berube Jun 2001 B1
6246784 Summers Jun 2001 B1
6246905 Mogul Jun 2001 B1
6251128 Knopp Jun 2001 B1
6254598 Edwards Jul 2001 B1
6273884 Altshuler Aug 2001 B1
6273885 Koop Aug 2001 B1
6273886 Edwards Aug 2001 B1
6277113 Berube Aug 2001 B1
6287302 Berube Sep 2001 B1
6306130 Anderson Oct 2001 B1
6306132 Moorman Oct 2001 B1
6312427 Berube Nov 2001 B1
6325796 Berube Dec 2001 B1
6347251 Deng Feb 2002 B1
6355033 Moorman Mar 2002 B1
6364876 Erb Apr 2002 B1
6383182 Berube May 2002 B1
6395803 Angeletakis May 2002 B1
6398781 Goble Jun 2002 B1
6402742 Blewett Jun 2002 B1
6427089 Knowlton Jul 2002 B1
6435872 Nagel Aug 2002 B1
6461351 Woodruff et al. Oct 2002 B1
6461352 Morgan Oct 2002 B2
6471696 Berube Oct 2002 B1
6500174 Maguire Dec 2002 B1
6506189 Rittman Jan 2003 B1
6514249 Maguire Feb 2003 B1
6524308 Muller Feb 2003 B1
6527768 Berube Mar 2003 B2
6530922 Cosman Mar 2003 B2
6546077 Chornenky Apr 2003 B2
6575969 Rittman, III et al. Jun 2003 B1
6577903 Cronin Jun 2003 B1
6582426 Moorman et al. Jun 2003 B2
6582486 Delpiano Jun 2003 B1
6585733 Wellman Jul 2003 B2
6593395 Angeletakis Jul 2003 B2
6602074 Suh Aug 2003 B1
6622731 Daniel Sep 2003 B2
6635055 Cronin Oct 2003 B1
6638277 Schaefer et al. Oct 2003 B2
6652520 Moorman Nov 2003 B2
6663625 Ormsby Dec 2003 B1
6666579 Jensen Dec 2003 B2
6673068 Berube Jan 2004 B1
6683625 Muthusamy Jan 2004 B2
6694163 Vining Feb 2004 B1
6699240 Francischelli Mar 2004 B2
6702576 Fischer Mar 2004 B2
6709271 Yin Mar 2004 B2
6740107 Loeb May 2004 B2
6749606 Keast Jun 2004 B2
6752767 Turovskiy Jun 2004 B2
D493531 Padain Jul 2004 S
6770070 Balbierz Aug 2004 B1
6780178 Palanker Aug 2004 B2
6802840 Chin Oct 2004 B2
6817976 Rovegno Nov 2004 B2
6817999 Berube Nov 2004 B2
6823218 Berube Nov 2004 B2
6837712 Qian Jan 2005 B2
6847848 Sterzer Jan 2005 B2
6849075 Bertolero Feb 2005 B2
6852091 Edwards Feb 2005 B2
6866624 Chornenky Mar 2005 B2
6866663 Edwards Mar 2005 B2
6869431 Maguire et al. Mar 2005 B2
6878147 Prakash Apr 2005 B2
6890968 Angeletakis May 2005 B2
6893436 Woodard May 2005 B2
6898454 Atalar May 2005 B2
D507649 Padain Jul 2005 S
6918905 Neuberger Jul 2005 B2
6924325 Qian Aug 2005 B2
6957108 Turner Oct 2005 B2
6962586 Berube Nov 2005 B2
6972016 Hill Dec 2005 B2
6976986 Berube Dec 2005 B2
6994546 Fischer Feb 2006 B2
7022105 Edwards Apr 2006 B1
7033352 Gauthier Apr 2006 B1
7097641 Arless Aug 2006 B1
7101369 Van der Weide Sep 2006 B2
7115126 Berube Oct 2006 B2
7128739 Prakash Oct 2006 B2
7142633 Eberhard Nov 2006 B2
7147632 Prakash Dec 2006 B2
7153298 Cohen Dec 2006 B1
7156842 Sartor Jan 2007 B2
7160289 Cohen Jan 2007 B2
7160292 Moorman Jan 2007 B2
7182762 Bortkiewicz Feb 2007 B2
7184824 Hashimshony Feb 2007 B2
7197363 Prakash Mar 2007 B2
7233820 Gilboa Jun 2007 B2
7244254 Brace Jul 2007 B2
7263997 Madsen et al. Sep 2007 B2
7266407 Li et al. Sep 2007 B2
7282049 Orszulak Oct 2007 B2
7311703 Turovskiy Dec 2007 B2
7318824 Prakash Jan 2008 B2
7324104 Bitter Jan 2008 B1
7331960 Schaer Feb 2008 B2
7381208 Van der Walt Jun 2008 B2
7400929 Zelickson et al. Jul 2008 B2
7402140 Spero Jul 2008 B2
7410484 Littrup Aug 2008 B2
7467015 Van der Weide Dec 2008 B2
7473219 Glenn Jan 2009 B1
7527623 Prakash May 2009 B2
7594313 Prakash Sep 2009 B2
7601149 DiCarlo Oct 2009 B2
7625369 Abboud Dec 2009 B2
7722620 Truckai May 2010 B2
7731677 Sakurai Jun 2010 B2
7815637 Ormsby Oct 2010 B2
7826904 Appling Nov 2010 B2
7862559 Prakash Jan 2011 B2
7875024 Turovskiy Jan 2011 B2
8059059 Bonn Jan 2011 B2
8035570 Prakash Oct 2011 B2
8093500 Deborski Jan 2012 B2
8109895 Williams et al. Feb 2012 B2
8147511 Perry Apr 2012 B2
8152799 Ormsby Apr 2012 B2
8155418 Delso Apr 2012 B2
8235981 Prakash Aug 2012 B2
8357148 Boulais et al. Jan 2013 B2
8403924 Behnke Mar 2013 B2
8430871 Brannan Apr 2013 B2
8454589 Deno Jun 2013 B2
8515554 Carr Aug 2013 B2
8523854 Willyard Sep 2013 B2
8540710 Johnson Sep 2013 B2
8574227 Hancock Nov 2013 B2
8643561 Prakash Feb 2014 B2
8653828 Hancock Feb 2014 B2
8655454 Prakash Feb 2014 B2
8672932 van der Weide Mar 2014 B2
8747398 Behnke Jun 2014 B2
8764744 Brannan Jul 2014 B2
8932281 Brannan Jan 2015 B2
8934989 Ormsby Jan 2015 B2
8945111 Brannan et al. Feb 2015 B2
8968290 Brannan Mar 2015 B2
9008793 Cosman Apr 2015 B1
9011421 Brannan Apr 2015 B2
9017319 Brannan Apr 2015 B2
9041616 Prakash May 2015 B2
9072532 van der Weide Jul 2015 B2
9113926 Brannan Aug 2015 B2
9119649 van der Weide Sep 2015 B2
9119650 Brannan Sep 2015 B2
9161811 Cronin Oct 2015 B2
9173706 Rossetto Nov 2015 B2
9192436 Willyard Nov 2015 B2
9192438 Thiel Nov 2015 B2
9198725 Willyard Dec 2015 B2
9220441 Yoo Dec 2015 B2
20010020166 Daly et al. Sep 2001 A1
20010049524 Morgan et al. Sep 2001 A1
20010039416 Moorman et al. Nov 2001 A1
20020022836 Goble Feb 2002 A1
20020026187 Swanson et al. Feb 2002 A1
20020026188 Balbierz et al. Feb 2002 A1
20020040185 Atalar et al. Apr 2002 A1
20020072742 Schaefer Jun 2002 A1
20020087151 Mody Jul 2002 A1
20020087157 Sliwa et al. Jul 2002 A1
20020173780 Altshuler Nov 2002 A1
20020183740 Edwards Dec 2002 A1
20030032951 Rittman et al. Feb 2003 A1
20030060813 Loeb Mar 2003 A1
20030065317 Rudie Apr 2003 A1
20030088242 Prakash May 2003 A1
20030120268 Bertolero Jun 2003 A1
20030130711 Pearson et al. Jul 2003 A1
20040030367 Yamaki et al. Feb 2004 A1
20040068208 Cimino et al. Apr 2004 A1
20040082859 Schaer Apr 2004 A1
20040116921 Sherman Jun 2004 A1
20040133254 Sterzer Jul 2004 A1
20040158237 Abboud Aug 2004 A1
20040186517 Hill et al. Sep 2004 A1
20040199154 Nahon Oct 2004 A1
20040215131 Sakurai et al. Oct 2004 A1
20040215294 Littrup et al. Oct 2004 A1
20040243004 Carr Dec 2004 A1
20040243200 Turner Dec 2004 A1
20040267248 Duong Dec 2004 A1
20050011885 Seghatol Jan 2005 A1
20050015081 Turovskiy Jan 2005 A1
20050075629 Chapelon Apr 2005 A1
20050107870 Wang May 2005 A1
20050109900 Schilt et al. May 2005 A1
20050113824 Sartor May 2005 A1
20050143726 Bortkiewicz Jun 2005 A1
20050149010 Turovskiy Jul 2005 A1
20050165389 Swain Jul 2005 A1
20050177209 Leung et al. Aug 2005 A1
20050245919 van der Weide Nov 2005 A1
20050245920 Vitullo et al. Nov 2005 A1
20060064083 Khalaj et al. Mar 2006 A1
20060079886 Orszulak Apr 2006 A1
20060094956 Viswanathan May 2006 A1
20060106281 Boulais May 2006 A1
20060122625 Truckai Jun 2006 A1
20060129140 Todd et al. Jun 2006 A1
20060155270 Hancock Jul 2006 A1
20060171506 Lovoi et al. Aug 2006 A1
20060189973 van der Weide Aug 2006 A1
20060200026 Wallace et al. Sep 2006 A1
20060200120 DiCarlo Sep 2006 A1
20060224220 Zelickson Oct 2006 A1
20060264921 Deutsch Nov 2006 A1
20060276780 Brace Dec 2006 A1
20060289528 Chiu Dec 2006 A1
20070016180 Lee, Jr. et al. Jan 2007 A1
20070021741 Marwan et al. Jan 2007 A1
20070066972 Ormsby Mar 2007 A1
20070185554 Appling et al. Aug 2007 A1
20070203551 Cronin Aug 2007 A1
20070208389 Amundson et al. Sep 2007 A1
20070230757 Trachtenberg et al. Oct 2007 A1
20070270924 McCann et al. Nov 2007 A1
20070276362 Rioux Nov 2007 A1
20070282319 van der Weide Dec 2007 A1
20070288079 van der Weide Dec 2007 A1
20080033424 Van Der Weide Feb 2008 A1
20080045938 Weide et al. Feb 2008 A1
20080058785 Boyden Mar 2008 A1
20080114345 Arless et al. May 2008 A1
20080147056 Van der Weide Jun 2008 A1
20080161890 Lafontaine Jul 2008 A1
20080188868 Weitzner et al. Aug 2008 A1
20080188869 Weitzner et al. Aug 2008 A1
20080188871 Smith et al. Aug 2008 A1
20080188890 Weitzner et al. Aug 2008 A1
20080195226 Williams et al. Aug 2008 A1
20080221391 Weitzner et al. Sep 2008 A1
20080243176 Weitzner et al. Oct 2008 A1
20090005766 Brannan Jan 2009 A1
20090054962 Lefler Feb 2009 A1
20090076492 Behnke Mar 2009 A1
20090118725 Auth et al. May 2009 A1
20090187180 Brannan Jul 2009 A1
20090187186 Jakus Jul 2009 A1
20090196480 Nields Aug 2009 A1
20090222002 Bonn et al. Sep 2009 A1
20090281536 Beckman et al. Nov 2009 A1
20090306644 Mayse et al. Dec 2009 A1
20100023866 Peck Jan 2010 A1
20100045558 Rossetto Feb 2010 A1
20100045559 Rossetto Feb 2010 A1
20100076424 Carr Mar 2010 A1
20100081928 Hyde et al. Apr 2010 A1
20100137796 Perry et al. Jun 2010 A1
20100228244 Hancock Sep 2010 A1
20100268223 Coe Oct 2010 A1
20100286791 Goldsmith Nov 2010 A1
20100292766 Duong Nov 2010 A1
20100305561 Prakash et al. Dec 2010 A1
20100312095 Jenkins Dec 2010 A1
20100312096 Guttman Dec 2010 A1
20100317962 Jenkins Dec 2010 A1
20110077635 Bonn et al. Mar 2011 A1
20110098696 Brannan Apr 2011 A1
20110118723 Turner et al. May 2011 A1
20110118725 Mayse May 2011 A1
20110213352 Lee et al. Sep 2011 A1
20110238060 Lee, Jr. Sep 2011 A1
20110238061 van der Weide Sep 2011 A1
20110257647 Mayse Oct 2011 A1
20110301587 Deem Dec 2011 A1
20120016358 Mayse Jan 2012 A1
20120053577 Lee et al. Mar 2012 A1
20120116286 Williams et al. May 2012 A1
20120182134 Doyle Jul 2012 A1
20120194409 Brannan Aug 2012 A1
20120203216 Mayse Aug 2012 A1
20120203222 Mayse Aug 2012 A1
20120209257 Weide et al. Aug 2012 A1
20120209261 Mayse Aug 2012 A1
20120209296 Mayse Aug 2012 A1
20120232544 Willyard Sep 2012 A1
20120232549 Willyard Sep 2012 A1
20120310228 Bonn et al. Dec 2012 A1
20120316551 van der Weide Dec 2012 A1
20120316552 Mayse Dec 2012 A1
20120316559 Mayse Dec 2012 A1
20130004037 Scheuering Jan 2013 A1
20130023866 Stringham et al. Jan 2013 A1
20130072924 Burgener Mar 2013 A1
20130116679 van der Weide et al. May 2013 A1
20130123598 Jenkins May 2013 A1
20130131496 Jenkins May 2013 A1
20130165915 Thiel Jun 2013 A1
20130259335 Mallya Oct 2013 A1
20130306543 Beisser Nov 2013 A1
20130338530 Kassab Dec 2013 A1
20140005706 Gelfand et al. Jan 2014 A1
20140046176 Ladtkow et al. Feb 2014 A1
20140152656 Yoo et al. Jun 2014 A1
20140163664 Goldsmith Jun 2014 A1
20140276033 Brannan et al. Sep 2014 A1
20140276200 Brannan et al. Sep 2014 A1
20140046174 Ladtkow et al. Dec 2014 A1
20150148792 Kim et al. May 2015 A1
20150150628 Buysse et al. Jun 2015 A1
20150164587 Bonn et al. Jun 2015 A1
20150190193 Mayse et al. Jul 2015 A1
20150250540 Behdad et al. Sep 2015 A1
20150351839 Brannan Dec 2015 A1
20150374438 van der Weide Dec 2015 A1
Foreign Referenced Citations (78)
Number Date Country
2015202149 May 2015 AU
2579361 Oct 2003 CN
1593353 Mar 2005 CN
1703168 Nov 2005 CN
2753408 Jan 2006 CN
201267529 Jul 2009 CN
101511295 Aug 2009 CN
101563042 Oct 2009 CN
1186274 Mar 2002 EP
1265532 Dec 2002 EP
1395190 Mar 2004 EP
1450710 Sep 2004 EP
1499251 Jan 2005 EP
1542607 Jun 2005 EP
1723922 Nov 2006 EP
2098184 Sep 2009 EP
2295000 Mar 2011 EP
2316370 May 2011 EP
1659969 Oct 2012 EP
2388039 Nov 2003 GB
2406521 Apr 2005 GB
10-192286 Jul 1998 JP
2002-541884 Dec 2002 JP
2003-530139 Oct 2003 JP
2003-534037 Nov 2003 JP
2004-188179 Jul 2004 JP
2005-522274 Jul 2005 JP
2007-029457 Feb 2007 JP
2007-532024 Nov 2007 JP
2008-142467 Jun 2008 JP
2009-006150 Jan 2009 JP
2009-521264 Jun 2009 JP
2009-521967 Jun 2009 JP
2009-207898 Sep 2009 JP
2009-285463 Dec 2009 JP
2010-505573 Feb 2010 JP
2010-050975 Mar 2010 JP
2011-511538 Apr 2011 JP
2011-092720 May 2011 JP
2011-152414 Aug 2011 JP
WO 1992004934 Apr 1992 WO
WO 1993009845 May 1993 WO
WO 1995004385 Sep 1995 WO
WO 1997048449 Dec 1997 WO
WO 1999056643 Nov 1999 WO
WO 2000057811 Oct 2000 WO
WO 2001070114 Sep 2001 WO
WO 2003039385 May 2003 WO
2003086190 Oct 2003 WO
WO 2003086498 Oct 2003 WO
WO 2003088806 Oct 2003 WO
WO 2003088858 Oct 2003 WO
WO 2004004586 Jan 2004 WO
WO 2004026122 Jan 2004 WO
WO 2004033039 Apr 2004 WO
WO 2004084748 Oct 2004 WO
WO 2004112628 Dec 2004 WO
WO 2005011049 Feb 2005 WO
WO 2005034783 Apr 2005 WO
WO 2005110265 Nov 2005 WO
WO 2006002843 Jan 2006 WO
WO 2006002943 Jan 2006 WO
WO 2006004585 Jan 2006 WO
WO 2006005579 Jan 2006 WO
WO 2006008481 Jan 2006 WO
WO 2006084676 Aug 2006 WO
WO 2006122149 Nov 2006 WO
WO 2006127847 Nov 2006 WO
WO 2007076924 Jul 2007 WO
WO 2007112103 Oct 2007 WO
WO 2008008545 Jan 2008 WO
WO 2008044013 Apr 2008 WO
WO 2008142686 Nov 2008 WO
WO 2010067360 Jun 2010 WO
WO 2011008903 Jan 2011 WO
WO 2011017168 Feb 2011 WO
WO 2011140087 Nov 2011 WO
WO 2013173481 Nov 2013 WO
Non-Patent Literature Citations (65)
Entry
European Search Report, EP Patent Application No. 17168163.8, dated Sep. 13, 2017.
International Search Report & Written Opinion, International Patent Application No. PCT/US2017/027424, dated Oct. 9, 2017.
Brace, C. et al ‘Analysis and experimental validation of triaxial antenna for microwave tumor ablation’ IEEE MTTS Int Microw Symp Jun. 3, 2004 (6-11) 1437-1440.
Brace, C. et al ‘Microwave Ablation with Triaxial Antenna: Results in ex vivo Bovine Liver’ IEEE Transactions on Microwave Theory and Techniques, vol. 53, No. 1 Jan. 2005.
English translation of Decision of Refusal from related Japanese Patent Application No. 2013-509179, dated Jun. 30, 2015.
Golio, ‘The RF and microwave handbook’ Edition 2 Published by CRC Press 2001 ISBN 0849338592X, 97808493859626.
Guy, AW (1971) IEEE Trans. Microwave Theory Tech. 19 pp. 189-217.
Head, H.W. et al ‘Thermal Ablation for Hepatocellular Carcinoma’ Gastroenterology (2004) 127 pp. S167-S178.
Seki, T. et al ‘Ultrasonically Guided Percutaneous Microwave Coagulation Therapy for Small Hepatocellular Carcinoma’ Cancer, Aug. 1, 1994, vol. 74, No. 3 pp. 817-825.
“Carbon dioxide.” Carbon dioxide—New World Encyclopedia. Web. <http://www.newworldencyclopedia.org/entry/Carbon_dioxide>.
European Search Report dated Mar. 3, 2009, EP Patent Application No. 06802385.2.
Extended European Search Report re: 11778168 dated Sep. 24, 2013.
International Patent Application No. PCT/US05/14534 dated Nov. 29, 2005; provided as WO 2006/004585.
International Preliminary Report on Patentability re: PCT/US2007/007464 dated Sep. 30, 2008.
International Search Report PCT/US2005/014534 dated Nov. 29, 2005.
International Search Report PCT/US2006/017981 dated Sep. 7, 2006.
International Search Report PCT US/2006/028821 dated Mar. 21, 2007.
International Search Report PCT/US2006/031644 dated Aug. 17, 2007.
International Search Report PCT/US2006/033341 dated Aug. 17, 2007.
International Search Report PCT/US2006/032811 dated Jan. 25, 2007.
International Search Report on Patentability re: PCT/US2007/016082 dated Jul. 21, 2008.
International Search Report PCT/US2011/035000 dated Jan. 6, 2012.
International Search Report re: PCT/US2012/071310 dated Feb. 25, 2013.
International Search Report re: PCT/US16/58888 dated Feb. 15, 2017.
International Search Report re: PCT/US2016/058890 dated Jan. 19, 2017.
International Preliminary Report on Patentability re: PCT/US2007/016082 dated Jan. 14, 2009.
International Preliminary Report on Patentability re: PCT/US2010/043558 dated Jan. 31, 2012.
International Preliminary Report on Patentability re: PCT/US2011/035000 dated Nov. 6, 2012.
International Preliminary Report on Patentability re: PCT/US2012/071310 dated Aug. 19, 2014.
Supplementary European Search Report re: EP07810483 dated Mar. 22, 2013.
Supplementary European Search Report re: EP10806929 dated Feb. 21, 2013.
Supplementary European Search Report re: EP11778168 dated Sep. 24, 2013.
Supplementary European Search Report re: EP12860249 dated Sep. 15, 2015.
U.S. Appl. No. 09/847,181, filed May 1, 2001.
U.S. Appl. No. 10/370,179, filed Feb. 19, 2003.
U.S. Appl. No. 10/834,802, filed Apr. 29, 2004.
U.S. Appl. No. 10/961,761, filed Oct. 7, 2004.
U.S. Appl. No. 10/961,994, filed Oct. 7, 2004.
U.S. Appl. No. 10/980,699, filed Nov. 3, 2004.
U.S. Appl. No. 11/053,987, filed Feb. 8, 2005.
U.S. Appl. No. 11/236,985, filed Sep. 28, 2005.
U.S. Appl. No. 11/237,136, filed Sep. 28, 2005.
U.S. Appl. No. 11/237,430, filed Sep. 28, 2005.
U.S. Appl. No. 11/440,331, filed May 24, 2006.
U.S. Appl. No. 11/452,637, filed Jun. 14, 2006.
U.S. Appl. No. 11/502,783, filed Aug. 11, 2006.
U.S. Appl. No. 11/514,628, filed Sep. 1, 2006.
U.S. Appl. No. 11/728,428, filed Mar. 26, 2007.
U.S. Appl. No. 11/728,457, filed Mar. 26, 2007.
U.S. Appl. No. 11/728,460, filed Mar. 26, 2007.
U.S. Appl. No. 60/679,722, filed May 10, 2005.
U.S. Appl. No. 60/785,466, filed Mar. 24, 2006.
U.S. Appl. No. 60/785,467, filed Mar. 24, 2006.
U.S. Appl. No. 60/785,690, filed Mar. 24, 2006.
U.S. Appl. No. 60/831,055, filed Jul. 14, 2006.
Guy, AW (1971) IEEE Trans. Microwave Theory Tech. 19 pp. 205-214.
European Search Report dated Mar. 9, 2015, EP Patent Application No. 14189493.1.
Extended European Search Report, EP Patent Application No. 11778168 dated Sep. 24, 2013.
Notice Regarding Extended European Search Report, EP Patent Application No. 11778168 dated Oct. 2, 2013.
International Preliminary Report on Patentability re: PCT/US2007/007408 dated Sep. 30, 2008.
International Preliminary Report on Patentability re: PCT/US2016/058888 dated Dec. 11, 2017.
International Preliminary Report on Patentability re: PCT/US2016/058890 dated May 11, 2018.
International Search Report re: PCT/US2007/007408 dated Aug. 31, 2007.
Extended European Search Report re: 17168163.8 dated Sep. 13, 2017.
International Patent Application No. PCT/US05/14534 dated Nov. 29, 2005.
Related Publications (1)
Number Date Country
20170296268 A1 Oct 2017 US
Provisional Applications (1)
Number Date Country
62323319 Apr 2016 US