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Dynamic sensor-balanced knee arthroplasty: can the sensor “train” the surgeon?

BACKGROUND: Dynamic tibial tray sensors are playing an increasing role in total knee arthroplasty (TKA) coronal balancing. Sensor balance is proposed to lead to improved patient outcomes compared with sensor-unbalanced TKA, and traditional manual-balanced TKA. However, the “learning curve” of this t...

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Detalles Bibliográficos
Autores principales: Woon, Colin Y.L., Carroll, Kaitlin M., Lyman, Stephen, Mayman, David J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6588826/
https://www.ncbi.nlm.nih.gov/pubmed/31286045
http://dx.doi.org/10.1016/j.artd.2019.03.001
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author Woon, Colin Y.L.
Carroll, Kaitlin M.
Lyman, Stephen
Mayman, David J.
author_facet Woon, Colin Y.L.
Carroll, Kaitlin M.
Lyman, Stephen
Mayman, David J.
author_sort Woon, Colin Y.L.
collection PubMed
description BACKGROUND: Dynamic tibial tray sensors are playing an increasing role in total knee arthroplasty (TKA) coronal balancing. Sensor balance is proposed to lead to improved patient outcomes compared with sensor-unbalanced TKA, and traditional manual-balanced TKA. However, the “learning curve” of this technology is not known, and also whether sensor use can improve manual TKA balance skills once the sensor is taken away, effectively “training” the surgeon. METHODS: We conducted a single-surgeon prospective study on 104 consecutive TKAs. In Nonblinded Phase I (n = 49), sensor-directed releases were performed during trialing and final intercompartmental load was recorded. In Blinded Phase II (n = 55), manual-balanced TKA was performed and final sensor readings were recorded by a blinded observer after cementation. We used cumulative summation analysis and sequential probability ratio testing to analyze the surgeon learning curve in both phases. RESULTS: In Nonblinded Phase I, sensor balance proficiency was attained most easily at 10°, followed by 90°, and most difficult to attain at 45° of flexion. In Blinded Phase II, manual balance was lost most quickly at 45°, followed by 90°, and preserved for longest at 10° of flexion. The number of cases in the steady state periods (early phase periods where there is a mix of sensor balance and sensor imbalance) for both phases is similar. CONCLUSIONS: A surgeon who consistently uses the dynamic sensor demonstrates a learning curve with its use, and an “attrition” curve once it is removed. Consistent sensor balance is more predictable with constant sensor use.
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spelling pubmed-65888262019-07-08 Dynamic sensor-balanced knee arthroplasty: can the sensor “train” the surgeon? Woon, Colin Y.L. Carroll, Kaitlin M. Lyman, Stephen Mayman, David J. Arthroplast Today Original Research BACKGROUND: Dynamic tibial tray sensors are playing an increasing role in total knee arthroplasty (TKA) coronal balancing. Sensor balance is proposed to lead to improved patient outcomes compared with sensor-unbalanced TKA, and traditional manual-balanced TKA. However, the “learning curve” of this technology is not known, and also whether sensor use can improve manual TKA balance skills once the sensor is taken away, effectively “training” the surgeon. METHODS: We conducted a single-surgeon prospective study on 104 consecutive TKAs. In Nonblinded Phase I (n = 49), sensor-directed releases were performed during trialing and final intercompartmental load was recorded. In Blinded Phase II (n = 55), manual-balanced TKA was performed and final sensor readings were recorded by a blinded observer after cementation. We used cumulative summation analysis and sequential probability ratio testing to analyze the surgeon learning curve in both phases. RESULTS: In Nonblinded Phase I, sensor balance proficiency was attained most easily at 10°, followed by 90°, and most difficult to attain at 45° of flexion. In Blinded Phase II, manual balance was lost most quickly at 45°, followed by 90°, and preserved for longest at 10° of flexion. The number of cases in the steady state periods (early phase periods where there is a mix of sensor balance and sensor imbalance) for both phases is similar. CONCLUSIONS: A surgeon who consistently uses the dynamic sensor demonstrates a learning curve with its use, and an “attrition” curve once it is removed. Consistent sensor balance is more predictable with constant sensor use. Elsevier 2019-04-11 /pmc/articles/PMC6588826/ /pubmed/31286045 http://dx.doi.org/10.1016/j.artd.2019.03.001 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Research
Woon, Colin Y.L.
Carroll, Kaitlin M.
Lyman, Stephen
Mayman, David J.
Dynamic sensor-balanced knee arthroplasty: can the sensor “train” the surgeon?
title Dynamic sensor-balanced knee arthroplasty: can the sensor “train” the surgeon?
title_full Dynamic sensor-balanced knee arthroplasty: can the sensor “train” the surgeon?
title_fullStr Dynamic sensor-balanced knee arthroplasty: can the sensor “train” the surgeon?
title_full_unstemmed Dynamic sensor-balanced knee arthroplasty: can the sensor “train” the surgeon?
title_short Dynamic sensor-balanced knee arthroplasty: can the sensor “train” the surgeon?
title_sort dynamic sensor-balanced knee arthroplasty: can the sensor “train” the surgeon?
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6588826/
https://www.ncbi.nlm.nih.gov/pubmed/31286045
http://dx.doi.org/10.1016/j.artd.2019.03.001
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