Achieving optimal knee stability and implant congruency is possible through VeraSense® for Triathlon®


Dr. Martin Roche

West Palm, Florida

Dr. Martin Roche West Palm, Florida

A surgeon requires data to make objective decisions intraoperatively. The subjective art of knee arthroplasty has shown to be poorly translatable. We can only compare our outcomes with integrated data from the patient’s preoperative evaluation, linked to real-time intraoperative data regarding optimal knee balance and alignment, and the effect of these variables in the postoperative recovery. The data that is provided from the single use VeraSense sensor enables surgeons to compare just that.

VeraSense improves the surgeon’s ability to achieve soft tissue balance while performing a  total knee arthroplasty (TKA).1-8 Multiple studies, including a multicentered blinded control trial, have confirmed that a balanced knee leads to an accelerated recovery, as well as improved patient outcomes and satisfaction.1-3, 9-11 This has also translated into fewer postoperative resources utilized, resulting in cost savings for the system.11-12

Robotic-assisted TKA improves a surgeon’s ability to execute the preoperative plan with safety through haptics, with consistent, accurate bony cuts.13-15 Patients are experiencing less pain16-17 and improved outcomes scores have been published.17-19

These integrated technologies turn surgical instruments into smart tools that provide real- time, actionable data. The utilization of robotic and sensor-assisted technology will become the standard in knee arthroplasty as we can now functionally place our implants to achieve optimal soft tissue balance and alignment. It will enable surgeons to achieve similar outcomes irrespective of their experience and customize the procedure to each patient’s pathologic condition.

As we strive to develop intelligent approaches to knee arthroplasty, sensor-assisted technology like VeraSense provides healthcare providers globally with evidenced-based data that improves clinical and economic outcomes for patients and healthcare stakeholders.

 

 

References:

  1. Golladay GJ, Bradbury TL, Gordon AC, et al. Are patients more satisfied with a balanced total knee arthroplasty? J Arthroplasty. 2019; 34(7S): S195-S200. doi:10.1016/j. arth.2019.03.036
  2. Golladay GJ, Byrd AD, Byrd JA, III. Sensor assisted balancing: does a surgeon need the extra sense? Presented at: Australian Orthopaedic Association (AOA) Annual Scientific Meeting; October 7-11, 2018; Perth, Australia.
  3. Golladay G, Gordon A, Fernandez-Madrid I, et al. Do balanced knees perform better clinically? Presented at: 31st Annual Congress of the International Society for Technology in Arthroplasty (ISTA); October 10-13, 2018; London, UK.
  4. Gharaibeh MA, Chen DB, MacDessi SJ. Soft tissue balancing in total knee arthroplasty using sensor-guided assessment: is there a learning curve?. ANZ J Surg. 2018;88(5):497- 501. doi:10.1111/ans.14437
  5. Cho KJ, Seon JK, Jang WY, Park CG, Song EK. Objective quantification of ligament balancing using VeraSense in measured resection and modified gap balance total knee arthroplasty. BMC Musculoskelet Disord. 2018;19(1):266. doi:10.1186/s12891-018-2190-8
  6. Woon CYL, Carroll K, Lyman S, Mayman DJ. Dynamic sensor-balanced knee arthroplasty: can the sensor “train” the surgeon? Arthroplasty Today. 2019;5:202-210. doi: 10.1016/j.artd.2019.03.001
  7. MacDessi S. Accuracy of manual surgeon defined assessment of soft tissue balance in TKA in comparison to VeraSense sensor-guided measures - can we detect an unbalanced knee? Presented at: Australian Orthopaedic Association (AOA) 77th Annual Scientific Meeting; October 8-12, 2017; Adelaide, South Australia.
  8. Elmallah RK, Mistry JB, Cherian JJ, et al. Can we really “feel” a balanced total knee arthroplasty? J Arthroplasty. 2016;31(9 Suppl): 102-105. doi: 10.1016/j.arth.2016.03.054*
  9. Chow JC, Breslauer L. The Use of Intraoperative Sensors Significantly Increases the Patient-Reported Rate of Improvement in Primary Total Knee Arthroplasty. Orthopedics. 2017 Jul 1;40(4):e648-e651. doi: 10.3928/01477447-20170503-01.
  10. Geller JA, Lakra A, Murtaugh T. The Use of Electronic Sensor Device to Augment Ligament Balancing Leads to a Lower Rate of Arthrofibrosis After Total Knee Arthroplasty. J Arthroplasty. 2017 May;32(5):1502-1504. doi: 10.1016/j.arth.2016.12.019.
  11. Conditt MA, Chow J, Gordon A, et al. Can a balanced TKA save money postoperatively? Presented at: 31st Annual Congress of the International Society for Technology in Arthroplasty (ISTA); October 10-13, 2018; London, UK.
  12. Leone W, Geller J, Chow J, et al. Using sensors to evaluate revision TKA: treating the “looks good; feels bad” knee. EC Orthop. 2016;3.5:381-385
  13. Kayani B, Konan S, Huq SS, Tahmassebi J, Haddad FS. Robotic-arm assisted total knee arthroplasty has a learning curve of seven cases for integration into the surgical workflow but no learning curve effect for accuracy of implant positioning. Knee Surg Sports Traumatol Arthrosc. 2019;27(4):1132-1141. doi:10.1007/s00167-018-5138-5
  14. Hampp EL, Chughtai M, Scholl LY, et al. Robotic-Arm Assisted Total Knee Arthroplasty Demonstrated Greater Accuracy and Precision to Plan Compared with Manual Techniques. J Knee Surg. 2019;32(3):239-250. doi:10.1055/s-0038-1641729 
  15. Kayani B, Konan S, Pietrzak JRT, Haddad FS.  et al. Iatrogenic Bone and Soft Tissue Trauma in Robotic-Arm Assisted Total Knee Arthroplasty Compared With Conventional Jig-Based Total Knee Arthroplasty: A Prospective Cohort Study and Validation of a New Classification System. J Arthroplasty. 2018 Aug;33(8):2496-2501. Epub 2018 Mar 27 
  16. Kayani. B., J. Tahmassebi, A. Ayuob, S. Konan, S. Oussedik, F. S. Haddad A prospective randomized controlled trial comparing the systemic inflammatory response in conventional jig-based total knee arthroplasty versus robotic-arm assisted total knee arthroplasty Bone Joint J 2021;103-B(1):113–122.
  17. Kayani, B., Konan, S., Tahmassebi, J., Pietrzak, J.R.T., Haddad, F.S. Robotic-arm assisted total knee arthroplasty is associated with improved early functional recovery and reduced time to hospital discharge compared with conventional jig-based total knee arthroplasty: A prospective cohort study. Bone and Joint Journal: 2018;100-B:930–7
  18. Zhang J, Ndou WS, Ng N, et al. Robotic-arm assisted total knee arthroplasty is associated with improved accuracy and patient reported outcomes: a systematic review and meta-analysis. Knee Surg Sports Traumatol Arthrosc. 2021;10.1007/s00167-021-06464-4. doi:10.1007/s00167-021-06464-4
  19. Batailler C, Fernandez A, Swan J, et al. MAKO CT-based robotic arm-assisted system is a reliable procedure for total knee arthroplasty: a systematic review [published online ahead of print, 2020 Sep 25]. Knee Surg Sports Traumatol Arthrosc. 2020;10.1007/s00167-020-06283-z. doi:10.1007/s00167-020-06283-z