Patent Grant
11903653
The present disclosure relates to tissue modeling technology, and in particular, utilizing tissue modeling technology to provide clinical decision support associated with surgically repairing tissue defects.
Implantable surgical repair devices such as meshes and sutures used in performing tissue defect repair procedures (e.g., hernia repair, incision line reinforcement, bridging, augmentation, incision line closure, etc.) are produced in a variety of sizes and material properties to fit a range of defects and patient needs. Typically, a clinician will attempt to choose the appropriate size, shape, and fixation technique associated with the repair device prior to surgery or intraoperatively with varying degrees of success. Each patient has unique needs due to the infinite variation of subject anatomy combined with the infinite variation of disease and/or risk factors. Various imaging techniques can be used for pre-operative planning to determine surgical approaches and appropriate sizing of these repair devices. However, tissue imaging techniques fail to provide tissue modeling information relating how a repair device interacts with tissue in the model during a patient activity or action. Offering clinicians a way to observe a simulation of how a mesh or suture interacts with tissue during a given patient activity would improve repair device development, surgical techniques, patient profiles, and patient and surgeon education and decrease associated tissue defect recurrence rates.
According to an embodiment of the present disclosure, a method of generating a computer-based observable model of an implantable repair material secured to a patient is provided. The method includes processing data corresponding to a patient using a computing device including a processor and a memory storing a software application executable by the processor. The method also includes indicating an implantable repair material and a fixation for securing the implantable repair material to the patient and indicating a distribution of the fixation about the implantable repair material. The method also includes generating an observable model of the implantable repair material secured to the patient on a display operably associated with the computing device. The observable model depicts the indicated distribution of the fixation about the implantable repair material.
According to one aspect of the above-described embodiment, the method also includes indicating an activity to be performed by the patient and generating, on the display, a simulation of an effect of the indicated activity on the implantable repair material secured to the patient.
According to another aspect of the above-described embodiment, the effect of the indicated activity on the implantable repair material may be selected from the group consisting of a force at the fixation securing the implantable repair material to the patient, bulging of the implantable repair material, and a stress field on the implantable repair material.
According to another aspect of the above-described embodiment, the data corresponding to the patient may include a clinical profile of the patient.
According to another aspect of the above-described embodiment, at least one of the implantable repair material, the fixation, or the distribution of the fixation about the implantable repair material may be generated by the software application.
According to another aspect of the above-described embodiment, at least one of the implantable repair material, the fixation, or the distribution of the fixation about the implantable repair material may be selected through a user interface of the computing device.
According to another aspect of the above-described embodiment, the observable model may be generated in 3D.
According to another aspect of the above-described embodiment, the observable model may be generated by the software application.
According to another aspect of the above-described embodiment, the observable model may be selected through a user interface of the computing device.
According to another aspect of the above-described embodiment, the method also includes indicating a placement technique selected from the group consisting of onlay, inlay, retromuscular, preperitoneal, and intraperitoneal.
According to another aspect of the above-described embodiment, the method also includes indicating a technique for tissue release selected from the group consisting of transversus abdominis muscle release (TAR) and component separation.
According to another aspect of the above-described embodiment, the method also includes indicating a type of defect repair as one of augmentation or bridging.
According to another aspect of the above-described embodiment, the method also includes indicating a morphotype of the patient.
According to another aspect of the above-described embodiment, the method also includes indicating a surgical approach for securing the implantable repair material to the patient as one of an open surgical approach or a laparoscopic surgical approach.
According to another aspect of the above-described embodiment, generating the observable model may be based on at least one of the processed data, the indicated implantable repair material, the indicated fixation, or the indicated distribution of the fixation.
According to another aspect of the above-described embodiment, generating the simulation may be based on at least one of the processed data, the indicated implantable repair material, the indicated fixation, the indicated distribution of the fixation, or the indicated activity to be performed by the patient.
According to another aspect of the above-described embodiment, the implantable repair material may be a hernia mesh.
According to another aspect of the above-described embodiment, the fixation for securing the implantable repair material to the patient may be at least one of a tack, a suture, glue, a strap, or a staple.
According to another aspect of the above-described embodiment, the fixation for securing the implantable repair material to the patient may be a tack.
According to another aspect of the above-described embodiment, the fixation for securing the implantable repair material to the patient may be a suture.
According to another aspect of the above-described embodiment, the fixation for securing the implantable repair material to the patient may be glue.
According to another aspect of the above-described embodiment, the fixation for securing the implantable repair material to the patient may be a staple.
According to another embodiment of the present disclosure, a system is provided for generating a computer-based observable model of an implantable repair material secured to a patient. The system includes a computing device including a processor and a memory storing a software application which, when executed by the processor, cause the computing device to perform a method. The method includes processing data corresponding to a patient using the computing device and indicating an implantable repair material and a fixation for securing the implantable repair material to the patient. The method also includes indicating a distribution of the fixation about the implantable repair material and generating an observable model of the implantable repair material secured to the patient on a display operably associated with the computing device. The observable model depicts the indicated distribution of the fixation about the implantable repair material.
According to one aspect of the above-described embodiment, the method also includes indicating an activity to be performed by the patient and generating, on the display, a simulation of an effect of the indicated activity on the implantable repair material secured to the patient.
According to another embodiment of the present disclosure, a method of generating a computer-based observable model of a hernia mesh secured to a patient is provided. The method includes processing data corresponding to a patient using a computing device including a processor and a memory storing a software application executable by the processor. The method also includes indicating a hernia mesh and a distribution of a fixation about the hernia mesh for securing the hernia mesh to the patient. The method also includes generating an observable model of the hernia mesh secured to the patient on a display operably associated with the computing device. The observable model depicts the indicated distribution of the fixation about the hernia mesh.
According to one aspect of the above-described embodiment, the method also includes indicating an activity to be performed by the patient and generating, on the display, a simulation of an effect of the indicated activity on the implantable repair material secured to the patient.
According to another embodiment of the present disclosure, a method of generating a computer-based observable model of an implantable repair material secured to a patient is provided. The method includes processing data corresponding to a patient using a computing device including a processor and a memory storing a software application executable by the processor. The method also includes indicating an implantable repair material and a fixation for securing the implantable repair material to the patient. The method also includes indicating a target distribution of the fixation about the implantable repair material when an abdominal wall of the patient is deflated and generating an optimized intra-abdominal pressure (IAP) to which to insufflate the abdominal wall of the patient. The method also includes generating an optimized distribution of the fixation about the implantable repair material when the abdominal wall of the patient is inflated at the optimized IAP.
According to one aspect of the above-described embodiment, the optimized IAP may be generated based on at least one of the implantable repair material, the fixation, or the target distribution of the fixation.
According to another aspect of the above-described embodiment, the optimized IAP may be generated based on the implantable repair material.
According to another aspect of the above-described embodiment, the optimized IAP may be generated based on the fixation.
According to another aspect of the above-described embodiment, the optimized IAP may be generated based on the target distribution of the fixation.
According to another aspect of the above-described embodiment, the method also includes generating a resulting distribution of the fixation about the implantable repair material when the abdominal wall of the patient is deflated.
According to another aspect of the above-described embodiment, the method also includes generating an observable model of the implantable repair material secured to the patient on a display operably associated with the computing device. The observable model depicts at least one of the optimized distribution of the fixation when the abdominal wall of the patient is inflated at the optimized IAP or the resulting distribution of the fixation about the implantable repair material when the abdominal wall of the patient is deflated.
According to another aspect of the above-described embodiment, the resulting distribution of the fixation may be based on at least one of the implantable repair material, the fixation, the target distribution of the fixation, or the optimized distribution of the fixation.
According to another aspect of the above-described embodiment, the resulting distribution of the fixation may be based on the implantable repair material.
According to another aspect of the above-described embodiment, the resulting distribution of the fixation may be based on the fixation.
According to another aspect of the above-described embodiment, the resulting distribution of the fixation may be based on the target distribution of the fixation.
According to another aspect of the above-described embodiment, the resulting distribution of the fixation may be based on the optimized distribution of the fixation.
According to another embodiment of the present disclosure, a method of generating a computer-based observable model of an implantable repair material secured to a patient is provided. The method includes processing data corresponding to a patient using a computing device including a processor and a memory storing a software application executable by the processor. The method also includes indicating an implantable repair material and a fixation for securing the implantable repair material to the patient. The method also includes indicating a target distribution of the fixation about the implantable repair material when an abdominal wall of the patient is deflated and indicating an intra-abdominal pressure (IAP) to which to insufflate the abdominal wall of the patient. The method also includes generating an optimized distribution of the fixation about the implantable repair material when the abdominal wall of the patient is inflated at the IAP.
According to one aspect of the above-described embodiment, the method also includes generating a resulting distribution of the fixation about the implantable repair material when the abdominal wall of the patient is deflated.
According to another aspect of the above-described embodiment, the method also includes generating an observable model of the implantable repair material secured to the patient on a display operably associated with the computing device. The observable model depicts at least one of the optimized distribution of the fixation when the abdominal wall of the patient is inflated at the IAP or the resulting distribution of the fixation about the implantable repair material when the abdominal wall of the patient is deflated.
According to one aspect of the above-described embodiment, the resulting distribution of the fixation may be based on at least one of the implantable repair material, the fixation, the target distribution of the fixation, the IAP, or the optimized distribution of the fixation.
According to another aspect of the above-described embodiment, the resulting distribution of the fixation may be based on the implantable repair material.
According to another aspect of the above-described embodiment, the resulting distribution of the fixation may be based on the fixation.
According to another aspect of the above-described embodiment, the resulting distribution of the fixation may be based on the target distribution of the fixation.
According to another aspect of the above-described embodiment, the resulting distribution of the fixation may be based on the IAP.
According to another aspect of the above-described embodiment, the resulting distribution of the fixation may be based on the optimized distribution of the fixation.
According to another embodiment of the present disclosure, a method of generating a computer-based observable model of an implantable repair material secured to a patient is provided. The method includes processing data corresponding to a patient using a computing device including a processor and a memory storing a software application executable by the processor. The method also includes indicating an implantable repair material and a fixation for securing the implantable repair material to the patient. The method also includes indicating a target distribution of the fixation about the implantable repair material when an abdominal wall of the patient is inflated and indicating an intra-abdominal pressure (IAP) to which to insufflate the abdominal wall of the patient. The method also includes generating an actual distribution of the fixation about the implantable repair material when the abdominal wall of the patient is inflated at the IAP.
According to one aspect of the above-described embodiment, the method also includes generating a resulting distribution of the fixation about the implantable repair material when the abdominal wall of the patient is deflated.
According to another aspect of the above-described embodiment, the method also includes generating an observable model of the implantable repair material secured to the patient on a display operably associated with the computing device. The observable model depicts at least one of the actual distribution of the fixation when the abdominal wall of the patient is inflated at the IAP or the resulting distribution of the fixation about the implantable repair material when the abdominal wall of the patient is deflated.
According to another aspect of the above-described embodiment, the resulting distribution of the fixation may be based on at least one of the implantable repair material, the fixation, the target distribution of the fixation, the IAP, or the actual distribution of the fixation.
According to another aspect of the above-described embodiment, the resulting distribution of the fixation may be based on at least one of the implantable repair material, the fixation, the target distribution of the fixation, the IAP, or the actual distribution of the fixation.
According to another aspect of the above-described embodiment, the resulting distribution of the fixation may be based on the implantable repair material.
According to another aspect of the above-described embodiment, the resulting distribution of the fixation may be based on the fixation.
According to another aspect of the above-described embodiment, the resulting distribution of the fixation may be based on the target distribution of the fixation.
According to another aspect of the above-described embodiment, the resulting distribution of the fixation may be based on the IAP.
According to another aspect of the above-described embodiment, the resulting distribution of the fixation may be based on the actual distribution of the fixation.
According to another aspect of the above-described embodiment, the resulting distribution of the fixation may be based on the implantable repair material.
According to another aspect of the above-described embodiment, the resulting distribution of the fixation may be based on the fixation.
According to another aspect of the above-described embodiment, the resulting distribution of the fixation may be based on the target distribution of the fixation.
According to another aspect of the above-described embodiment, the resulting distribution of the fixation may be based on the IAP.
According to another aspect of the above-described embodiment, the resulting distribution of the fixation may be based on the actual distribution of the fixation.
The present disclosure provides a system and method for clinical decision support associated with surgically repairing tissue defects.
Detailed embodiments of the present disclosure are disclosed herein. However, the disclosed embodiments are merely examples of the disclosure, which may be embodied in various forms and aspects. Therefore, specific structural and functional details disclosed herein are not to be interpreted as limiting, but merely as a basis for the claims and as a representative basis for teaching one skilled in the art to variously employ the present disclosure in virtually any appropriately detailed structure.
The present disclosure provides a system and method for providing clinical decision support associated with surgically repairing tissue defects. More specifically, the system presents a clinician with a streamlined method of simulating the effects of a patient activity on a surgical repair site from the initial patient selection through a process of parameter selections to graphically generate an interactive observable 3D model of the surgical repair site on a suitable graphical display. While the term “3D” is used throughout the detailed description to describe the model, it should be understood that the generated model may be 3D, 2D, or any other suitable view. The simulation is generated on the graphical display using the generated interactive 3D model, which may be an animated depiction of patient tissue or an animated depiction of patient tissue including a defect repaired by an implantable repair material such as, for example, a suture, a mesh, or a combination thereof. The interactive 3D model is generated by the system based on a clinical profile of the patient. As described in greater detail below, a clinician may be provided an opportunity to modify the interactive 3D model generated by the system by inputting parameters through a user interface and/or by importing data from one or more suitable sources. The interactive 3D model may be displayed as patient tissue having an implantable repair material secured thereto for purposes of repairing a tissue defect in the patient tissue.
The system utilizes a software application executable on any suitable computing device to generate an observable computer simulation and provide a clinician the capability to observe the effects on an implantable repair material (e.g., a hernia mesh) secured to patient tissue, the repaired patient tissue, the patient, and/or the interaction between the implantable repair material and the tissue to which the implantable repair material is secured given the performance of a particular patient activity. Additionally, the observable computer simulation provides a clinician the capability to observe the interaction between the patient tissue and the implanted repair material. While the present disclosure to follow is described with reference to repairing hernias affecting the abdominal wall of a patient (e.g., using a ventral hernia mesh and/or sutures), the presently disclosed system is not limited to these applications in that the system is applicable to provide support for surgically repairing other types of tissue defects (e.g., inguinal, hiatal, and parastomal hernias) and performing incision line closures (
Although the present disclosure will be described in terms of specific illustrative embodiments, it will be readily apparent to those skilled in this art that various modifications, rearrangements and substitutions may be made without departing from the spirit of the present disclosure. The scope of the present disclosure is defined by the claims appended hereto.
Referring now to
Memory 102 includes any non-transitory computer-readable storage media for storing data and/or software that is executable by processor 104 and which controls the operation of computing device 100. In an embodiment, memory 102 may include one or more solid-state storage devices such as flash memory chips. Alternatively or in addition to the one or more solid-state storage devices, memory 102 may include one or more mass storage devices connected to the processor 104 through a mass storage controller (not shown) and a communications bus (not shown). Although the description of computer-readable storage media contained herein refers to a solid-state storage, it should be appreciated by those skilled in the art that computer-readable storage media can be any available media that can be accessed by the processor 104. That is, computer readable storage media includes non-transitory, volatile and non-volatile, removable and non-removable media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules or other data. For example, computer-readable storage media includes RAM, ROM, EPROM, EEPROM, flash memory or other solid state memory technology, CD-ROM, DVD, Blu-Ray or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store information and which can be accessed by computing device 100.
Memory 102 may store application 116 and/or patient data 114. Application 116 may, when executed by processor 104, cause display 110 to present user interface 118. Processor 104 may be a general purpose processor, a specialized graphics processing unit (GPU) configured to perform specific graphics processing tasks while freeing up the general purpose processor to perform other tasks, and/or any number or combination of such processors. Display 110 may be touch sensitive and/or voice activated, enabling display 110 to serve as both an input and output device. Alternatively, a keyboard (not shown), mouse (not shown), or other data input devices may be employed.
Network interface 108 may be configured to connect to a network such as a local area network (LAN) consisting of a wired network and/or a wireless network, a wide area network (WAN), a wireless mobile network, a Bluetooth network, and/or the internet. For example, computing device 100 may receive patient data from a server, for example, a hospital server, internet server, or other similar servers, for use during model generating and/or simulation. Patient data may also be provided to computing device 100 via a removable memory (not shown). Computing device 100 may receive updates to its software, for example, application 116, via network interface 108. Computing device 100 may also display notifications on display 110 that a software update is available.
Input device 106 may be any device by means of which a user may interact with computing device 100, such as, for example, a mouse, keyboard, touch screen, and/or voice interface. Output module 112 may include any connectivity port or bus, such as, for example, parallel ports, serial ports, universal serial busses (USB), or any other similar connectivity port known to those skilled in the art.
Application 116 may be one or more software programs stored in memory 102 and executed by processor 104 of computing device 100. As will be described in more detail below, application 116 guides a clinician through a series of steps to input, edit, select, deselect, indicate, and/or confirm parameters such as clinical data of a patient, biomechanical patient profiles, surgery plan parameters, and/or a patient activities for generating the interactive 3D model and simulating effects of a patient activity on a surgical repair site using the interactive 3D model.
Application 116 may be installed directly on computing device 100, or may be installed on another computer, for example a central server, and opened on computing device 100 via network interface 108. Application 116 may run natively on computing device 100, as a web-based application, or any other format known to those skilled in the art. In some embodiments, application 116 will be a single software program having all of the features and functionality described in the present disclosure. In other embodiments, application 116 may be two or more distinct software programs providing various parts of these features and functionality.
Application 116 communicates with a user interface 118 that presents visual interactive features to a clinician, for example, on display 110 and for receiving clinician input, for example, via a user input device. For example, user interface 118 may generate a graphical user interface (GUI) and output the GUI to display 110 for viewing by a clinician.
As used herein, the term “clinician” refers to any medical professional (i.e., doctor, surgeon, nurse, or the like) or other user of the surgical repair site simulation system 10 involved in interacting with the application 116 of the embodiments described herein.
Turning now to
The data included with the clinical profile provided to the computing device 100 may include data corresponding to the patient such as, for example, personal information (e.g., forename, middle name, name, age, gender, height, weight, BMI, morphotype), history information (e.g., personal history, family history), indications of disease (e.g., diabetes type, cardiac disease, arterial hypertension, pulmonary hypertension, hepatic disease, renal disease, malignant disease, aneurysm disease, collagen-related disease), indications of current medications/treatments (e.g., corticosteroids, immunosuppressant, anticoagulant therapy), pathologies, defect location, defect width, and defect height.
With reference to
With reference to
With reference to
With reference to
With reference to
With continued reference to
The biomechanical profile of the patient may be generated by the application 116 or may be indicated, selected, and/or confirmed by the clinician through the user interface 118. As used herein, the terms “indicated,” “indicating,” and “indicate,” may be used to describe input and/or output either generated by the application 116 or indicated, selected, specified, or confirmed through the user interface 118 (e.g., by a clinician). As described above, changes or updates to parameters of the clinical profile may affect parameters of the biomechanical profile. For example, adding tobacco use as a risk factor could lower the patient's muscle tissue quality. Tissue contractility, for example, may be affected by the severity of particular patient comorbidities such as diabetes and/or the severity of particular patient risk factors such as tobacco use.
As described in detail below, an interactive 3D model of a surgical repair site is generated on the display 110, as shown in
With reference to
With reference to
With reference to
With reference to
As described above with respect to
Referring now to
Step 230 includes generating a surgery plan for the patient. The surgery plan may be generated automatically by the application 116 and/or manually indicated by the clinician via the user interface 118. Generating a surgery plan for the patient may include, but is not limited to, indicating: (i) a technique for placement of a repair material (e.g., onlay, inlay, retromuscular, preperitoneal, intraperitoneal) as shown in
In the instance that an open bridging surgical approach is selected in step 230 (see
Referring specifically to
Referring now to
With reference to
With reference to
In the instance that a laparoscopic surgical approach is selected in step 230 (see
In connection with the clinician selecting a laparoscopic surgical approach,
With continued reference to step 230 (see
Generally, the “Non Lap IAP Constraint” mesh conformity optimization (see
Generally, the “Lap IAP Constraint” mesh conformity optimization (see
Generally, the “No” mesh conformity optimization (see
With reference to
With reference to
In response to the clinician specifying target values for “a1” and “d1”, the application 116 generates an optimized Lap IAP in mmHg (depicted in
As shown in
As shown in
Additionally, a “Real time evaluation” of the interactive 3D model is displayed alongside the 3D model, as shown in
As shown in
As shown in
As shown in
The “Lap IAP Constraint” mesh conformity optimization option (see
With reference to
Once the clinician has specified target values for “a1” and “d1” (depicted in
As shown in
As shown in
Substantially as described above with respect to
The “No” mesh conformity optimization option (see
With reference to
Once the clinician has specified target values for “a1” and “d1” (depicted in
As shown in
As shown in
Substantially as described above with respect to
Step 240 includes indicating a patient activity from a menu of patient activities, as shown in
In step 250, an observable simulation is generated using the interactive 3D model, as shown in
The observable simulation provides the clinician the capability to observe the effect on a tissue defect repaired by an implanted repair material (e.g., hernia mesh, suture, prophylactic onlay mesh, etc.) given the performance of the patient activity indicated in step 240. Additionally, the observable simulation provides a clinician the capability to observe the interaction between the patient tissue and the implanted repair material given the performance of the patient activity indicated in step 240. For example, the clinician may choose to generate a simulation of (1) how and to what extent the indicated patient activity affects the force at the fixations securing a mesh to the abdominal wall of the patient (
In some embodiments, the clinician may choose to forego indicating a patient activity in step 240. In this embodiment, the application 116 may generate an observable model of an implantable repair material (e.g., hernia mesh) secured to the abdominal wall of the patient without generating the simulation described below with reference to
Referring generally to
Referring to
Referring to
Referring to
Additionally, although not shown in
With continued reference to
Step 260 includes generating analysis of the simulation or simulations based on the specifics of each generated simulation, as shown in
Referring to the embodiment illustrated in
Referring specifically to
Referring now to the embodiment illustrated in
It should be understood that any of the above-described steps 210-260 are not necessarily order specific, in that the clinician may have the capability to perform any one of steps 210-260 or any actions described hereinabove as being associated with steps 210-260 at any time during method 200. For example the clinician may skip any one of steps 210-260 or repeat the performance of any one of steps 210-260.
While several embodiments of the disclosure have been shown in the drawings, it is not intended that the disclosure be limited thereto, as it is intended that the disclosure be as broad in scope as the art will allow and that the specification be read likewise. Therefore, the above description should not be construed as limiting, but merely as examples of particular embodiments. Those skilled in the art will envision other modifications within the scope and spirit of the claims appended hereto.
For example, according to another embodiment of the present disclosure, a method of generating a computer-based observable model of an implantable repair material secured to a patient is provided. The method includes generating an observable model of the implantable repair material secured to the patient on a display operably associated with a computing device. The observable model depicts an indicated distribution of a fixation about the implantable repair material.
According to one aspect of the above-described embodiment, the method also includes processing data corresponding to a patient using the computing device. The computing device includes a processor and a memory storing a software application executable by the processor.
According to another aspect of the above-described embodiment, the method also includes indicating the implantable repair material and the distribution of the fixation about the implantable repair material for securing the implantable repair material to the patient.
According to yet another embodiment of the present disclosure, a system is provided for generating a computer-based observable model of an implantable repair material secured to a patient. The system includes a computing device including a processor and a memory storing a software application which, when executed by the processor, cause the computing device to perform a method. The method includes generating an observable model of the implantable repair material secured to the patient on a display operably associated with a computing device. The observable model depicts an indicated distribution of a fixation about the implantable repair material.
According to one aspect of the above-described embodiment, the method also includes processing data corresponding to a patient using the computing device.
According to another aspect of the above-described embodiment, the method also includes indicating the implantable repair material and the distribution of the fixation about the implantable repair material for securing the implantable repair material to the patient.
According to yet another embodiment of the present disclosure, a method of generating a computer-based observable model of a hernia mesh secured to a patient is provided. The method includes generating an observable model of the hernia mesh secured to the patient on a display operably associated with a computing device. The observable model depicts an indicated distribution of a fixation about the hernia mesh.
According to one aspect of the above-described embodiment, the method also includes processing data corresponding to a patient using the computing device. The computing device includes a processor and a memory storing a software application executable by the processor.
According to another aspect of the above-described embodiment, the method also includes indicating the hernia mesh and the distribution of the fixation about the hernia mesh for securing the hernia mesh to the patient.
According to yet another embodiment of the present disclosure, a method of generating a computer-based observable model of an implantable repair material secured to a patient is provided. The method includes generating an optimized distribution of a fixation about the implantable repair material when an abdominal wall of a patient is inflated at an optimized intra-abdominal pressure (IAP).
According to one aspect of the above-described embodiment, the method includes processing data corresponding to a patient using a computing device including a processor and a memory storing a software application executable by the processor.
According to another aspect of the above-described embodiment, the method includes indicating the implantable repair material and the fixation for securing the implantable repair material to the patient.
According to another aspect of the above-described embodiment, the method includes indicating a target distribution of the fixation about the implantable repair material when an abdominal wall of the patient is deflated.
According to another aspect of the above-described embodiment, the method includes generating the optimized IAP to which to insufflate the abdominal wall of the patient.
According to yet another embodiment of the present disclosure, a method of generating a computer-based observable model of an implantable repair material secured to a patient is provided. The method includes generating an optimized distribution of a fixation about the implantable repair material when an abdominal wall of a patient is inflated at an intra-abdominal pressure (IAP).
According to one aspect of the above-described embodiment, the method also includes processing data corresponding to a patient using a computing device. The computing device includes a processor and a memory storing a software application executable by the processor.
According to another aspect of the above-described embodiment, the method also includes indicating the implantable repair material and the fixation for securing the implantable repair material to the patient.
According to another aspect of the above-described embodiment, the method also includes indicating a target distribution of the fixation about the implantable repair material when the abdominal wall of the patient is deflated.
According to another aspect of the above-described embodiment, the method also includes indicating the IAP to which to insufflate the abdominal wall of the patient.
According to yet another embodiment of the present disclosure, a method of generating a computer-based observable model of an implantable repair material secured to a patient is provided. The method includes generating an actual distribution of a fixation about the implantable repair material when an abdominal wall of a patient is inflated at an intra-abdominal pressure (IAP).
According to one aspect of the above-described embodiment, the method also includes processing data corresponding to the patient using a computing device. The computing device includes a processor and a memory storing a software application executable by the processor.
According to another aspect of the above-described embodiment, the method also includes indicating the implantable repair material and the fixation for securing the implantable repair material to the patient.
According to another aspect of the above-described embodiment, the method also includes indicating a target distribution of the fixation about the implantable repair material when the abdominal wall of the patient is inflated.
According to another aspect of the above-described embodiment, the method also includes indicating the IAP to which to insufflate the abdominal wall of the patient.
According to yet another embodiment of the present disclosure, a method of generating a computer-based simulation of an effect of a patient activity on an implantable repair material secured to a patient is provided. The method includes indicating an activity to be performed by a patient and generating, on a display operably associated with a computing device, a simulation of an effect of the indicated activity on the implantable repair material secured to the patient.
Although the foregoing disclosure has been described in some detail by way of illustration and example, for purposes of clarity or understanding, it will be obvious that certain changes and modifications may be practiced within the scope of the appended claims.
| Number | Date | Country | Kind |
|---|---|---|---|
| 16305341 | Mar 2016 | EP | regional |
This application is a continuation of U.S. patent application Ser. No. 15/426,088, filed on Feb. 7, 2017, which claims benefit of and priority to European Patent Application Serial No. 16305341.6 filed Mar. 24, 2016, the disclosure of the above-identified application is hereby incorporated by reference in its entirety.
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| Number | Date | Country | |
|---|---|---|---|
| 20210338335 A1 | Nov 2021 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | 15426088 | Feb 2017 | US |
| Child | 17379879 | US |
