A novel flexible capacitive load sensor for use in a mobile unicompartmental knee replacement bearing: An in vitro proof of concept study

Mentink, M; Duren, Bernard H van; Murray, David; Gill, H. S.

doi:10.1016/j.medengphy.2017.05.002

Cited by 6 publications

(7 citation statements)

References 31 publications

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“…Overall, the sensitivity is rather uniform across the linear range with a max change of 3.02 × 10 −3 pF/kPa between regions S 1 and S 3 . Compared with similar capacitive sensors tested in this pressure region [25,26], the sensitivity of our device is very good with the highest measured to be 4.26 × 10 −3 pF/kPa at a pressure of 250 kPa.…”

Section: Sensitivitymentioning

confidence: 72%

Micromachined Tactile Sensor Array for RTSA

2021

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This work presents a polymer-based tactile capacitive sensor capable of measuring joint reaction forces of reverse total shoulder arthroplasty (RTSA). The capacitive sensor contains a polydimethylsiloxane (PDMS) dielectric layer with an array of electrodes. The sensor was designed in such a way that four components of glenohumeral contact forces can be quantified to help ensure proper soft tissue tensioning during the procedure. Fabricated using soft lithography, the sensor has a loading time of approximately 400 ms when a 14.13 kPa load is applied and has a sensitivity of 1.24 × 10−3 pF/kPa at a load of 1649 kPa. A replica RTSA prothesis was 3D printed, and the sensor was mounted inside the humeral cap. Four static right shoulder positions were tested, and the results provided an intuitive graphical description of the pressure distribution across four quadrants of the glenohumeral joint contact surface. It may help clinicians choose a right implant size and offset that best fit a patient’s anatomy and reduce postoperative biomechanical complications such as dislocation and stress fracture of the scapula.

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Section: Sensitivitymentioning

confidence: 72%

Micromachined Tactile Sensor Array for RTSA

2021

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“…This is how these nanotechnology or small sensors are now even used in some experimental surgical implants, like knee replacements. [106,107] The sensor is only an example of one technology that evolved on its own all over the years for the benefit of current or future CAOS systems.…”

Section: Future Of Caosmentioning

confidence: 99%

Computer assisted orthopaedic surgery: Past, present and future

Picard

Deakin

Riches

et al. 2019

Medical Engineering & Physics

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Computer technology is ubiquitous and relied upon in virtually all professional activities including neurosurgery which is why it is baffling that it is not the case for orthopaedic surgery with less than 5% of surgeon using available computer 2 technology in their surgeries. In this review, we explore the evolution and background of computer assisted orthopaedic surgery (CAOS) delving into the basic principles behind the technology and the changes in the discussion on the subject throughout the years and the impact these discussions had on the field. We found that industry had an important role in driving the discussion at least in knee arthroplasty a leading field of CAOS with the ratio between patents and publications increased from approximately 1:10 in 2004 to almost 1:3 in 2014. The adoption of CAOS is largely restrained by economics and ergonomics with sceptics challenging the accuracy and precision of navigation during the early years of CAOS moving to patient functional improvements and long term survivorship. Despite this, the future of CAOS remains positive with new technologies such as improvements in imageguided surgery, enhanced navigation systems, robotics and artificial intelligence.

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“…Pressure sensors have been used to provide a quantitative measure of soft tissue tension in TKAs, assisting surgeons in achieving an appropriate balancing of the flexion and extension gap and satisfactory clinical outcomes [11][12][13][14][15]. Regarding UKA, Sun et al [16] reported the use of a pressure sensor beneath the UKA trial bearing on processed fresh frozen cadaveric specimens; Mentink et al [17] embedded a sensor within the bearing of MB-UKA and determined its electrical and mechanical characteristics by in-vitro test. To our knowledge, clinical research of pressure sensors to measure soft tissue tension during MB-UKA procedures has not previously been reported.…”

Section: Introductionmentioning

confidence: 99%

Can mobile-bearing unicompartmental knee arthroplasty achieve natural gap-balancing? An observational study with a novel pressure sensor

et al. 2022

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Background Mobile-bearing unicompartmental knee arthroplasty (MB-UKA) is an effective treatment for anteromedial knee osteoarthritis. Meticulous intraoperative soft tissue balancing remains challenging yet consequential for a successful operation. Currently, surgeons rely mostly on their experience during soft tissue balancing, yielding unreproducible results. The purpose of this study was to quantified measure the soft tissue tension of medial compartment and determine if an optimal "target" tension values with the natural state exists. Methods This was an observational study of 24 consecutive patients. All 30 UKAs were performed by a single surgeon. The piezoresistive sensor was custom designed to fit in the medial compartment gap. Contact pressures were measured at 5 angular positions of the knee intraoperatively: 0°, 20°, 45°, 90°, and 110° of flexion. The change in pressure from extension (20° position) and flexion (110° position) was also calculated (E-FPD). Data on age, sex, body mass index, operative side, and bearing size were collected. Outcome measures were measured at baseline and at the 6-month postoperative follow-up; Oxford Knee Score, visual analog scale score, and range of motion were compared to evaluate clinical outcomes. Results There was a significant improvement in patients in all measured outcomes at 6 months from baseline (P < 0.05). The E-FPD of 14.9 N (8.9, 24.6) was indicative of appropriate soft tissue balancing throughout the functional range of knee motion. Of 30 knees, 22 were 3-mm bearing and 8 were 4- or 5-mm bearing. The pressure data of the 3-mm bearing group was larger than that of the non-3-mm bearing group for each knee flexion degree, but the difference was not statistically significant (P > 0.05). Conclusions Objective data from sensor output may assist surgeons in decreasing loading variability during MB-UKA. The data suggested that MB-UKA could not accurately restore soft tissue tension to the natural state, which was related to the inability of MB-UKA surgical instruments to fine adjust the bone cut and soft tissue release. Study registration Chinese Clinical Trial Registry (http://www.chictr.org.cn): ChiCTR1900024146.

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A novel flexible capacitive load sensor for use in a mobile unicompartmental knee replacement bearing: An in vitro proof of concept study

Cited by 6 publications

References 31 publications

Micromachined Tactile Sensor Array for RTSA

Micromachined Tactile Sensor Array for RTSA

Computer assisted orthopaedic surgery: Past, present and future

Can mobile-bearing unicompartmental knee arthroplasty achieve natural gap-balancing? An observational study with a novel pressure sensor

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