Aspects of the invention relate to device programmers for use with implantable medical devices and to medical positioning and display systems for use during implantation of the lead systems of such medical devices.
Implantation of lead systems for pacemakers or other implantable medical devices often requires the testing of candidate lead locations for parameters such as myocardial capture thresholds, phrenic nerve stimulation thresholds, electrical impedance values, and the like. Herein, these and other related parameters are referred to as “lead implant efficacy parameters” since the parameters pertain to the efficacy or suitability of particular lead implant locations. In practice, the implanting clinician often tests a number of candidate implant locations while observing the location of the lead within the patient using fluoroscopic images or the like. At a particular candidate location, the clinician typically employs a device programmer or pacing system analyzer (PSA) to perform various suitability tests, such as capture threshold tests to ensure the capture threshold at the candidate location is not too high (which would necessitate high stimulation pulse amplitudes), phrenic nerve stimulation (PNS) tests to ensure that the PNS threshold is not too low (which might otherwise result in adverse diaphragmatic stimulation triggered by the stimulation pulses), and impedance measurements to ensure that impedance is not too high (which might cause undue current drain from the device battery) or too low (which might indicate lack of tissue contact).
During the lead implant procedure, if a candidate location is unsatisfactory, the lead is maneuvered to different location and the tests are repeated. The testing procedure usually needs to be repeated for each lead to be implanted and, in some cases, for multiple electrodes of a particular lead. In the case of state-of-the-art implantable cardiac rhythm management devices (CRMDs) such as implantable cardioverter-defibrillators (ICDs), cardiac resynchronization devices (CRTs) and the like, the lead systems may include a bipolar right atrial (RA) lead, a bipolar right ventricular (RV) lead, and a multi-polar left ventricular (LV) lead implanted via the coronary sinus (CS). For such systems, it is important that the various tests be performed as efficiently as possible and that particular candidate locations are tested only once. However, the two-dimensionality of conventional fluoroscopic images can make it difficult for the clinician to know exactly which locations have already been tested. As such, the same location may be inadvertently tested multiple times with the same capture threshold outcomes. This can be especially problematic if an active fixation lead needs to be inserted into cardiac tissue with each test, damaging the tissue at the site. Multiple fixations around the same area can be life-threatening, especially within the thin-walled chambers of the heart such as the RA and RV. Still further, some implant locations might have residual scar tissue due to myocardial infarction or other conditions, which can render the location undesirable for implantation, a problem not readily discernible from standard fluoroscopic images.
Some of these concerns are addressed by systems such as the one described in U.S. Pat. No. 8,285,377 to Rosenberg et al., entitled “Pacing, Sensing and Other Parameter Maps based on Localization System Data.” Various exemplary techniques described therein pertain to multi-dimensional mapping of one or more parameters germane to cardiac pacing therapy, which exploit the EnSite™ and NavX™ cardiac mapping and navigation systems provided by the assignee of the present application. For example, during an intraoperative procedure, a clinician may maneuver a catheter to various locations in one or more chambers or vessels of the heart and deliver energy at the various locations using electrodes of the catheter. Sensing equipment senses electrical signals responsive to the delivered energy and, in turn, a 3-D mapping application associates the signals with the various locations. In a specific example, the mapping application generates a capture threshold map for use by a clinician to locate electrodes chronically. Phrenic nerve stimulation can also be assessed, as well as pacing impedance. Illustrative displays generated using the techniques of Rosenberg et al. exploit 3-D graphical maps of heart chambers and lumens generated by the EnSite™ and NavX™ systems or instead use preprogrammed and scalable graphical models of the human heart.
Although the systems and methods of Rosenberg et al. are advantageous, further improvement is warranted. For example, whereas the techniques of Rosenberg et al. provide for the display of certain lead implant efficacy parameters along with 3-D graphical maps or scalable graphical models of the heart, it would be desirable to provide a system that instead displays lead implant efficacy parameters along with fluoroscopic (or similar) images of the actual tissues of the patient. Moreover, as currently implemented with EnSite™ systems, the leads are not directly visible, as in fluoroscopic images. Still further, it would desirable to provide a system that addresses concerns over lead fixation into scar tissue or multiple insertions of active fixation leads into thin-walled chambers. Accordingly, it would be desirable to provide improved systems and procedures to address these or other issues, and it is to that end that aspects of the present invention are directed.
In an exemplary embodiment, a method is provided for use with an implantable medical lead system for implant within a patient. Briefly, tissues of the patient are imaged along with portions of the lead system being implanted using, e.g., a real-time fluoroscopic imaging system. One or more parameters representative of lead placement efficacy—such as myocardial capture thresholds. PNS thresholds, electrical impedance values or screw-in tip mechanical resistance values—are measured at candidate implant locations within the tissues of the patient using repositionable electrodes of the lead system. Localization parameters identifying the candidate implant locations are also measured. A display is generated showing: images of the tissues of the patient and at least a portion of the lead system being implanted; the candidate locations of the repositionable electrodes; and parameters representative of lead placement efficacy at the candidate locations such as capture thresholds or the mechanical resistance values. In some examples, the efficacy values are color-coded without showing actual numerical values. Moreover, thresholds may be set such that only “acceptable” sites based on the thresholds are highlighted. That is, thresholds can be used to facilitate the visualization of the lead parameters as a way to avoid cluttering of the image. In examples where sensor icons are displayed, the icons may also change color to indicate acceptable or non-acceptable lead parameters to thereby aid the visualization of the localization parameters on the images. Using these or other visualization techniques, the implanting clinician can readily view capture thresholds and/or icons and other helpful parameters at various candidate implant locations along with actual images of the tissues of the patient and the lead system being implanted. Preferably, real-time or near real-time images are used, although recorded images can also be displayed and, in some examples, multiple images can be superimposed over one another, some in real-time and some recorded.
In an illustrative implementation, the imaging system exploits fluoroscopic imaging, computer aided tomography (CT), ultrasonography or other suitable real-time or near real-time imaging techniques that produce actual images of tissues of the patient, Leads are manually or robotically inserted into the patient to position electrodes—such as the tip electrode of an RV lead of a pacemaker, CRT or ICD—at candidate locations within the heart of the patient while the heart and the lead system are being imaged. A device programmer or PSA then measures parameters representative of lead placement efficacy at the candidate locations. For example, the programmer may perform one or more of: capture tests to assess the myocardial capture threshold; PNS tests to assess phrenic nerve stimulation and to further determine whether a PNS threshold is too low at the candidate location; impedance tests to measure electrical impedance of the lead; and mechanical resistance tests to assess the resistance to active fixation based, e.g., on the torque required to screw-in the tip of the lead.
Concurrently, the illustrative system uses an MPS such as the MediGuide™ system (owned by the assignee of the present application) to measure or detect localization parameters identifying the position and orientation of the electrodes and corresponding candidate implant locations, where the localization parameters are specified relative to a reference coordinate system for conversion to 3-D location coordinates. If active fixation leads are used, the system determines a safety distance around each candidate implant location based on a pre-programmed minimum safe distance or other factors. The minimum safe distance specifies a minimum distance from a prior active fixation site sufficient so that a new active fixation will not result in undue damage to the heart tissue (as might otherwise occur if two active fixation locations are too close together, especially within thin-walled chambers such as the RA.) The MPS system then selectively generates a real-time display showing the heart of the patient and surrounding vasculature along with the current candidate implant location and any previously analyzed candidate locations (via suitable icons or landmarks or colors.) The display further shows various lead implant efficacy parameters such as: capture thresholds at each tested candidate location; PNS thresholds at each tested candidate location (or warning indicators if PNS thresholds are too low compared to corresponding capture thresholds); minimum safe distances around active fixation candidate locations; electrical impedance values measured for each candidate location; and warning indicators if the mechanical resistance measured at a candidate location indicates significant scar tissue (as may be determined by comparing measured mechanical resistance values to pre-determined thresholds indicative of excessive scar tissue.)
Exemplary system and method embodiments are described herein primarily with reference to the implantation of lead systems of CRMDs, but the general principles of the invention are applicable to other implantable medical devices and lead systems, such as leads employed for stimulating other organs.
Features and advantages of the described implementations can be more readily understood by reference to the following description taken in conjunction with the accompanying drawings.
The following description includes the best mode presently contemplated for practicing the invention. This description is not to be taken in a limiting sense but is made merely to describe general principles of the invention. The scope of the invention should be ascertained with reference to the issued claims. In the description of the invention that follows, like numerals or reference designators will be used to refer to like parts or elements throughout.
Overview of Systems and Methods
While the lead is being inserted into the RV, an MPS 24 tracks the location of the tip of the lead by applying electromagnetic signals 26 via an antenna 28. The electromagnetic field detector 20 responds to the signals, thereby allowing the MPS to localize the tip of the lead in 3D relative to a predetermined reference coordinate system. In one example, the MPS includes, or is connected to, a MediGuide™ system provided by the assignee of the present application. The overall system also includes a real-time tissue imaging system 30 such as a fluoroscopic imager, ultrasonograph (i.e. ultrasound), CT scanner, or the like for obtaining real time images of the tissues of the patient (and the lead being implanted) for feeding into a display system of the MPS. Other suitable imaging systems that can be used might exploit X-rays; nuclear magnetic resonance (NMR); radioactive imaging; and/or thermography. Depending upon the particular implementation of the overall system, image detector 30 may be a component of MPS system 24, or vice versa, and either or both might be integrated with programmer 22. The various components may also be connected to a centralized computing system 32, such as the HouseCall™ system or the Merlin@home/Merlin.Net systems of St. Jude Medical, which can store pertinent patient data for subsequent retrieval. As can be appreciated, a wide range of implementation options is available.
In use, during lead implant, the clinician or physician maneuvers the tip of the lead to various candidate locations within the heart of the patient while observing the real-time display. The various lead implant efficacy parameters such as capture thresholds, etc, are superimposed on the display so the clinician or physician can readily view the capture thresholds and other helpful parameters at various candidate implant locations along with actual real-time images of the tissues of the patient and the lead system being implanted. That is, in some examples capture threshold information is displayed near the test site for at least two fluoroscopic views such that upon the identification of a preferred or optimal implant site, the lead can be maneuvered back to that preferred or optimal location. As already noted, real-time or near real-time images are preferably used, although recorded images can also be displayed and, in some examples, multiple images can be superimposed over one another, some in real-time and some recorded, Pertinent details of exemplary implementations are set forth below. Note also that, although an exemplary endocardial lead is shown in
Hence,
Illustrative Systems and Methods
At step 202, the integrated system measures parameters representative of lead placement efficacy at the candidate location via a device programmer. As noted, the system may perform capture tests to assess myocardial capture thresholds. Capture is discussed, e.g., in U.S. Pat. No. 7,920,920 to Williamson, entitled “Algorithm for Capture Detection.” Also at step 202, the system may detect a PNS threshold and determine whether PNS threshold is too low at the candidate location by, for example, determining whether a lowest amplitude pacing pulse sufficient to achieve capture (with a safety margin) would nevertheless still trigger PNS. PNS is discussed, for example, in U.S. Patent Application 2011/0213260 of Keel et al., entitled “CRT Lead Placement based on Optimal Branch Selection and Optimal Site Selection.”
Also at step 202, the system may deliver impedance test pulses and measure electrical impedance between the electrode being implanted and another electrode. A particularly effective tri-phasic impedance detection pulse for use in measuring impedance is described in U.S. patent application Ser. No. 11/558,194 of Panescu et al., filed Nov. 9, 2006, entitled “Closed-Loop Adaptive Adjustment of Pacing Therapy based on Cardiogenic Impedance Signals Detected by an Implantable Medical Device.” See, also, techniques described in U.S. patent application Ser. No. 13/007,424 of Gutfinger et al., filed Jan. 14, 2011, entitled “Systems and Methods for Exploiting Near-Field Impedance and Admittance for use with Implantable Medical Devices” and U.S. patent application Ser. No. 12/853,130 of Gutfinger at al., filed Aug. 9, 2010, entitled “Near Field-Based Systems and Methods for Assessing Impedance and Admittance for use with an Implantable Medical Device.”
At step 202, the system may also measure parameters representative of mechanical resistance to active fixation based, e.g., on the torque required to screw-in the tip of the lead to thereby assess the presence of possible scar tissue. That is, substrate characterization can be based on the mechanical resistance of the screw-in lead such that higher resistance would indicate a larger degree of scarred tissue. Hence, at each candidate site, the system can assess the mechanical properties of the cardiac tissue being tested and the characterization of the substrate at each site can thereby guide the implanting physician to place the lead away from scar tissue. A predetermined threshold of tissue resistance may be exploited, below which the cardiac tissue is considered healthy and above which some is deemed to scarring exist. Torque measurements involving catheters are discussed, e.g., in U.S. Patent Application 2012/0184955 of Pivotto et al., entitled “Remotely Controlled Catheter Insertion System with Automatic Control System.” The measured torque may then be compared against a predetermined threshold representative of an excess of scar tissue with suitable warnings generated to alert the clinician if scar tissue is present or excessive. Suitable thresholds may be determined in advance without undue experimentation by, for example, measuring the amount of mechanical resistance required to insert test leads into various samples of myocardial tissue having differing amounts of scar tissue in a laboratory setting. In vivo experiments may also be necessary or appropriate to determine such thresholds after appropriate bench-top testing.
At step 204, the integrated system measures localization parameters identifying the position and orientation of the tip of the lead at the candidate implant location relative to a reference coordinate system using the MPS and then converts to 3-D location coordinates, if needed. See, e.g. U.S. Pat. No. 8,131,344 to Strommer et al., entitled “Method and System for Registering a Medical Situation associated with a First Coordinate System, in a Second Coordinate System using an MPS System.” At step 206, the system determines a safety distance around each candidate implant location (for active fixation leads) based on pre-programmed minimum safe distances or other factors such as the particular chamber of the heart. In this regard, one or more safety distances can be programmed such that each test location is at least that distance away from all other previous test locations. This helps ensure that active fixations are not being made too close to one another to introduce cardiac tissue perforation. In some examples, the safety zone is calculated in 3D and the appropriate zone for subsequent projection onto 2D views. The system may also provide an auditory and/or visual feedback system such as an alert that can sound if the lead is approaching the safety zone, warning the physician to keep away from an already-tested site.
At step 208, the integrated system then selectively generates real-time displays showing one or more of: the heart of the patient and surrounding vasculature; the current candidate implant location and any previously tested candidate locations via landmarks; capture thresholds at each tested candidate location; the PNS thresholds at each tested candidate location (or warning indicators if PNS thresholds are too low compared to corresponding capture thresholds); minimum safe distances around each candidate location; electrical impedance values for each candidate location (or warning indicators if the measured impedance is too high); mechanical resistance values for each tested candidate location along with warning indicators if the mechanical resistance indicates significant scar tissue. As can be appreciated, there are various different embodiments for the placement of capture threshold markers on the screen. In particular, in one embodiment, the MPS system automatically receives this information from the device programmer or PSA and automatically displays the information as soon as threshold testing (or other tests) are completed. The implanting physician or an assistant can also press a foot pedal or click on the system to display the information. In other embodiment, the system operator places a landmark with capture threshold values incorporated after the threshold testing is completed.
For the sake of completeness, an exemplary CRMD lead system 500 (and corresponding CRMD 510) are illustrated in
To sense left atrial and ventricular cardiac signals and to provide left chamber pacing therapy, CRMD 510 is coupled to a multi-pole LV lead 524 designed for placement in the “CS region” via the CS os for positioning a distal electrode adjacent to the left ventricle and/or additional electrode(s) adjacent to the left atrium. As used herein, the phrase “CS region” refers to the venous vasculature of the left ventricle, including any portion of the CS, great cardiac vein, left marginal vein, left posterior ventricular vein, middle cardiac vein, and/or small cardiac vein or any other cardiac vein accessible by the CS. Accordingly, an exemplary LV lead 524 is designed to receive atrial and ventricular cardiac signals and to deliver left ventricular pacing therapy using a set of four left ventricular electrodes 5261, 5262, 5263, and 5264, (thereby providing a quad-pole lead), left atrial pacing therapy using at least a left atrial ring electrode 527, and shocking therapy using at least a left atrial coil electrode 528. The 5261 LV electrode may also be referred to as a “tip” or “distal” LV electrode. The 5264 LV electrode may also be referred to as a “proximal” LV electrode. In other examples, more or fewer LV electrodes are provided. Although only three leads are shown in
In general, while the invention has been described with reference to particular embodiments, modifications can be made thereto without departing from the scope of the invention. Note also that the term “including” as used herein is intended to be inclusive, i.e. “including but not limited to.”
Number | Name | Date | Kind |
---|---|---|---|
6925334 | Salys | Aug 2005 | B1 |
6968237 | Doan et al. | Nov 2005 | B2 |
7386339 | Strommer et al. | Jun 2008 | B2 |
7590447 | Dingman et al. | Sep 2009 | B2 |
7881769 | Sobe | Feb 2011 | B2 |
7890190 | Salys et al. | Feb 2011 | B1 |
7920920 | Williamson | Apr 2011 | B1 |
8055327 | Stommer et al. | Nov 2011 | B2 |
8131344 | Strommer et al. | Mar 2012 | B2 |
8238625 | Strommer et al. | Aug 2012 | B2 |
8285377 | Rosenberg et al. | Oct 2012 | B2 |
8326419 | Rosenberg et al. | Dec 2012 | B2 |
8442618 | Strommer et al. | May 2013 | B2 |
20040097804 | Sobe | May 2004 | A1 |
20080183071 | Strommer et al. | Jul 2008 | A1 |
20100268059 | Ryu et al. | Oct 2010 | A1 |
20110028894 | Foley et al. | Feb 2011 | A1 |
20110054560 | Rosenberg et al. | Mar 2011 | A1 |
20110144510 | Ryu et al. | Jun 2011 | A1 |
20110160792 | Fishel | Jun 2011 | A1 |
20110213260 | Keel et al. | Sep 2011 | A1 |
20120016253 | Koh et al. | Jan 2012 | A1 |
20120078080 | Foley et al. | Mar 2012 | A1 |
20120184955 | Pivotto et al. | Jul 2012 | A1 |
20140176944 | Addison et al. | Jun 2014 | A1 |
Number | Date | Country | |
---|---|---|---|
20150018907 A1 | Jan 2015 | US |