Evidence map›Paper›PMID 41593804›Full record

ArticleKnee surgery & related research2026

Effects of axial malrotation on posterior tibial slope measurement: a digitally reconstructed radiograph study enabling automated quality assessment.

Jaeseok Park, Andreas Persson, R Kyle Martin, Eivind Inderhaug, Sung Eun Kim, Sangyoon Kim, Donghyuk Kwak, Du Hyun Ro

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Article in Knee surgery & related research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jaeseok ParkSeoul National University College of Medicine, Seoul, Republic of Korea.
Andreas PerssonOslo Sports Trauma Research Center, Norwegian School of Sports Science, Oslo, Norway.
R Kyle MartinDepartment of Orthopedic Surgery, University of Minnesota, Minneapolis, MN, USA.
Eivind InderhaugDepartment of Clinical Medicine, University of Bergen, Bergen, Norway.
Sung Eun KimDepartment of Orthopedic Surgery, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehakro, Jongno-Gu, Seoul, 110-744, Republic of Korea.
Sangyoon KimDepartment of Orthopedic Surgery, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehakro, Jongno-Gu, Seoul, 110-744, Republic of Korea.
Donghyuk KwakSeoul National University College of Medicine, Seoul, Republic of Korea.
Du Hyun RoDepartment of Orthopedic Surgery, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehakro, Jongno-Gu, Seoul, 110-744, Republic of Korea. duhyunro@gmail.com.ORCID http://orcid.org/0000-0001-6199-908X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate measurement of posterior tibial slope (PTS) is highly sensitive to axial malrotation of the knee during acquisition, but its impact has not been systematically quantified across different anatomical variations. This simulation study aimed to quantify the effect of axial malrotation on PTS using digitally reconstructed radiographs (DRRs) and suggest a practical marker for filtering out low-quality images with excessive malrotation. MATERIALS AND

methodsA total of 55 preoperative computed tomography (CT) scans from January 2021 to December 2024 in a single, tertiary hospital were retrospectively reviewed. DRRs were generated from those scans to simulate lateral knee radiographs with malrotation ranging from -12° to +12° relative to an anatomically aligned baseline. An artificial-intelligence (AI)-based tool automatically measured PTS on each DRR, with agreement evaluated using intraclass correlation coefficient (ICC). PCDR was calculated from femoral contours and analyzed for correlation with malrotation angles and resulting PTS measurement error.

resultsAI-based PTS measurements on DRRs showed good agreement with expert annotations (ICC = 0.78, 95% CI 0.73-0.82). PTS increased linearly with internal rotation, with each 1° of rotation resulting in approximately 0.2° change in PTS (R

conclusionsCT-derived DRRs combined with AI analysis showed that PTS measurement error proportionately increased with axial malrotation. Identifying and excluding radiographs with excessive rotation improves the reliability of slope-based assessments and supports more accurate surgical planning. LEVEL OF EVIDENCE: III, retrospective cohort study.

Indexed as

Artificial intelligenceAxial malrotationDigitally reconstructed radiographLateral knee radiographPosterior tibial slope

Identifiers

PMID41593804
PMCPMC12849264

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