Evidence map›Paper›PMID 42192378›Full record

ArticleBMC musculoskeletal disorders2026

Quantitative measurements for acetabular cartilage delamination on MRI.

Yichuan Zhu, Guanying Gao, Yan Xu

Abstract read
In one paragraph

Article in BMC musculoskeletal disorders, 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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0citing 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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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Yichuan ZhuDepartment of Sports Medicine, Institute of Sports Medicine of Peking University, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, China.
Guanying GaoDepartment of Sports Medicine, Institute of Sports Medicine of Peking University, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, China. gao-guan@126.com.
Yan XuDepartment of Sports Medicine, Institute of Sports Medicine of Peking University, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, China. yanxu@139.com.

Funding

National Key Research and Development Program of China 2024YFC3606704Peking University Third Hospital BYSYZD2023011
6 · The paper itself

Abstract

purposeTo introduce the delamination width and delamination length for the quantitative description of the delamination between cartilage on MRI, and to determine the diagnostic value for acetabular cartilage delamination (ACD).

methodsData between January 2018 to December 2020 was reviewed. Patients diagnosed femoroacetabular impingement syndrome (FAIS) and underwent hip arthroscopy were included. Exclusion criteria were prior hip surgery and concomitant hip conditions. The delamination width and delamination length were measured at the coronal slice on magnetic resonance imaging (MRI) where the low-signal area on the fat-saturated proton density (FSPD) sequence was most apparent between the cartilage. The delamination width was measured along the direction of the radial line originating from the center of the femoral head. The delamination length was measured as the curve across the endpoints of delamination. The receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic value of these measurements.

resultsA total of 176 patients were included, with 69 (39.2%) patients diagnosed with ACD under arthroscopy. Patients with ACD demonstrated significant larger delamination width and delamination length compared to patients without ACD (all with P < 0.001). The area under curve (AUC) for delamination width and length predicting ACD was 0.8677 (95% CI: 0.8113 to 0.9240) and 0.8113 (95% CI: 0.7528 to 0.8698), respectively. The cut off value of delamination width was 0.95 mm, with the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) to be 89.9%, 74.8%, 70.0%, and 91.9%, respectively. The cut off value of delamination length was 2.80 mm, with the sensitivity, specificity, PPV, and NPV to be 43.0%, 94.2%, 90.2%, and 48.4%, respectively. Male sex and BMI were positively associated with delamination width and delamination length (all with P < 0.05).

conclusionThe delamination width and delamination length demonstrated good diagnostic value for ACD. Male sex and BMI were positively associated with these measurements. ACD may occur when the delamination width exceeds 0.95 mm and delamination length exceeds 2.80 mm in patients with FAIS. LEVEL OF EVIDENCE: Level III. Cohort study.

Indexed as

AcetabulumCartilage, ArticularFemoracetabular ImpingementMagnetic Resonance ImagingAdultArthroscopyFemaleHumansMaleMiddle AgedRetrospective StudiesAcetabular cartilage delaminationFemoroacetabular impingementMagnetic resonance imaging

Identifiers

PMID42192378
PMCPMC13418438

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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.