Summary: CNN algorithm through transfer learning shows high accuracy in detecting loosening of TKA implant through plain radiograph. These results can be expected to be utilized as an auxiliary tool in the decision making process in diagnosing loosening of TKA implant by orthopedic surgeons.

Introduction

Detecting loosening of total knee arthroplasty (TKA) implants is a challenging process, even for experienced clinicians, and may not always be available, potentially delaying diagnosis. The purpose of this study was to investigate whether the loosening of TKA implant could be detected on plain radiograph using deep convolution neural network (CNN).

Methods

An analysis was conducted on 100 patients who underwent revision TKA due to loosening at one institution from 2012 to 2020. 100 patients who underwent primary TKA without loosening were extracted through propensity score matching for age, gender, body mass index, and operation side. We implemented training acceleration in a pre-trained CNN model called VGG19 through a transfer learning method that gradually changes the freezing layer. Training and testing were conducted in a ratio of 8:2.

Results

In the first model that trained only the last layer of the classification layer, the accuracy in diagnosing loosening of TKA implant was 87.5% and the accuracy for no-loosening was 56.3%. However, as the trained learning layer was gradually increased to the feature learning part, the accuracy in diagnosing loosening increased to 100%, and the accuracy for the non-loosening increased to 95%.

Conclusion

CNN algorithm through transfer learning shows high accuracy in detecting loosening of TKA implant through plain radiograph. These results can be expected to be utilized as an auxiliary tool in the decision making process in diagnosing loosening of TKA implant by orthopedic surgeons.

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Effect of Altered Knee Joint Loading Pattern in Gait Biomechanics of Total Knee Arthroplasty Patient ePoster Presentation Sang Jin Lee, MD, PhD, KOREA, REPUBLIC OF
Association Between The Femoral And Tibial Component Positions and Intraoperative Knee Kinematics In Posterior-Stabilized Total Knee Arthroplasty ePoster Presentation Mitsuru Hanada, MD, PhD, JAPAN Yukihiro Matsuyama, MD, PhD, Prof., JAPAN
The Statistical Fragility of Tourniquet Use In Total Knee Arthroplasty: A Systematic Review ePoster Presentation Kyle William Lawrence, BS, UNITED STATES John K Cordero, MD, UNITED STATES Ashley Brown, BS, UNITED STATES Xinning Li, MD, UNITED STATES Brett Hayden, MD, UNITED STATES Robert L Parisien, MD, UNITED STATES
Total Knee Arthroplasty Without Patellar Component Replacement. Does it Increase the Risk of Revision? Local Experience Analysis ePoster Presentation Zoy Anastasiadis, MD, CHILE Diego Edwards, MD, CHILE Sergio Arellano, MD, CHILE Andrés Schmidt-Hebbel, MD, CHILE Eduardo Gardella, MD, CHILE Nicolás González-Kusjanovic, MD, CHILE Alex Vaisman, MD, Prof., CHILE
Efficacy of Functional Alignment Technique In Robotic-Arm Assisted Total Knee Arthroplasty ePoster Presentation Masashi Tamaki, MD, PhD, JAPAN Yuki Yamauchi, MD,PhD, JAPAN Seishiro Higa, MD, JAPAN Tomoyuki Shimakawa, MD, JAPAN Yuki Isobe, MD, JAPAN Teruya Ishibashi, MD,PhD, JAPAN Shoji Konda, PhD, JAPAN Tetsuya Tomita, M.D.,Ph.D , JAPAN
Long-Term Results of Per-Operative Knee Arthroscopy in Confirming Suitability for Unicompartmental Arthroplasty ePoster Presentation James Gill, MB BChir, BSc, FRCS, UNITED KINGDOM McMeniman J Peter, AUSTRALIA Timothy John Mcmeniman, MBBS(Med)/MBBS, FRACS FA(Orth)A, AUSTRALIA Daniel Johnson Brimm, BSc, MD, AUSTRALIA Peter T. Myers, MBBS, FRACS, FAOrthA, AUSTRALIA
Tibia Placement Difference Between The Supine And Prone Position After Total Knee Arthroplasty: The Comparison Of The BCS and PS-TKA ePoster Presentation Takanori Iriuchishima, MD, PhD, JAPAN Keinosuke Ryu, MD, PhD, JAPAN Eiji Cho, MD, JAPAN

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Detection Loosening of Total Knee Arthroplasty Implant from Plain Radiograph Using Machine Learning Algorithm

Detection Loosening of Total Knee Arthroplasty Implant from Plain Radiograph Using Machine Learning Algorithm

Introduction

Methods

Results

Conclusion

More 2023 Congress Knee Arthroplasty ePosters

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Detection Loosening of Total Knee Arthroplasty Implant from Plain Radiograph Using Machine Learning Algorithm

Detection Loosening of Total Knee Arthroplasty Implant from Plain Radiograph Using Machine Learning Algorithm

Introduction

Methods

Results

Conclusion

More 2023 ISAKOS Congress Content