Evidence map›Paper›PMID 42754344›Full record

ArticleOrthopaedic surgery2026

Inter-Session Repeatability of a Smartphone-Based Markerless System to Measure Segment Length and Lower-Limb Kinematics in Patients With End-Stage Knee Osteoarthritis.

Chunping Ye, Renxin Ding, Junqing Wang, Yong Nie, Kang Li

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Article in Orthopaedic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Chunping YeDepartment of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Renxin DingInformation Technology Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.ORCID https://orcid.org/0000-0003-2911-8152
Junqing WangDepartment of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Yong NieDepartment of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.ORCID https://orcid.org/0000-0002-6132-379X
Kang LiDepartment of Orthopedic Surgery and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.ORCID https://orcid.org/0000-0002-8136-9816

Funding

Advanced Materials - National Science and Technology Major Project 2025ZD0619901National Key Research and Development Program of China 2023YFB4606700Sichuan Provincial International Science and Technology Innovation Cooperation 2025YFHZ0110West China Hospital, Sichuan University 2023HXFH024West China Hospital, Sichuan University ZYAI24038West China Hospital, Sichuan University ZYYC21004
6 · The paper itself

Abstract

backgroundWhile kinematic analysis is crucial to characterize multi-planar functional deficits in end-stage knee osteoarthritis (OA), traditional laboratories impose severe physical burdens on patients. In-field markerless systems like OpenCap offer an accessible alternative, yet their repeatability in this population remains underexplored. The objective of this study was to assess the inter-session repeatability of OpenCap for quantifying segment lengths and lower-limb kinematics during gait and sit-to-stand tasks in end-stage knee osteoarthritis (OA) patients.

methodsTwenty-three patients with end-stage knee OA scheduled for total knee arthroplasty performed gait and sit-to-stand tasks while wearing street clothes across two visits. Segment lengths obtained from static calibration were compared between sessions, while waveform repeatability of lower-limb joint angles was assessed using root mean square deviation (RMSD) and intraclass correlation coefficient (ICC). Additionally, the standard error of measurement (SEM) and minimal detectable change (MDC) were calculated for discrete kinematic parameters.

resultsThe segment lengths exhibited moderate to excellent repeatability between sessions (mean ICC: 0.79). Measurement bias was generally minimal (< 0.5 cm, except for the upper arm), with the overall 95% limits of agreement ranging from -4.51 to 3.98 cm. For gait, the average RMSD and ICC values were 4.0° (SD: 0.9) and 0.82 (SD: 0.07), respectively, whereas for the sit-to-stand task, these values were 5.2° (SD: 1.1) and 0.69 (SD: 0.08), respectively. The average SEM and MDC values for gait were 2.9° and 8.0°, and for sit-to-stand, 3.0° and 8.4°, respectively.

conclusionsOpenCap demonstrates moderate to good inter-session repeatability for static anatomical measurements and gait kinematics in patients with end-stage knee OA, showing promise as a low-burden clinical assessment tool. However, the higher variability observed during the sit-to-stand task necessitates cautious, task-specific interpretation, underscoring the need for further improvements before expanding its use across broader functional assessments.

Indexed as

gait analysisknee osteoarthritismarkerless motion captureOpenCaprepeatabilitytest–retest

Identifiers

PMID42754344
PMCPMC13585478

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.