Evidence map›Paper›PMID 40382569›Full record

ArticleBMC musculoskeletal disorders2025

Preoperative computed tomography assessment of peri-hip muscles in patients with femoral neck fracture and its impact on postoperative walking function.

Katsuya Yokoyama, Taku Ukai, Makoto Ogawa, Masahiko Watanabe

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Article in BMC musculoskeletal disorders, 2025. 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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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

4 authors.

Katsuya YokoyamaDepartment of Orthopedic Surgery, Tokai University School of Medicine Hachioji Hospital, 1838 Ishikawa, Hachioji, Tokyo, 192-0032, Japan.
Taku UkaiDepartment of Orthopedic Surgery, Surgical Science, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan. ut3313@tokai.ac.jp.
Makoto OgawaDepartment of Orthopedic Surgery, Surgical Science, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan.
Masahiko WatanabeDepartment of Orthopedic Surgery, Surgical Science, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe role of preoperative peri-hip muscles in postoperative walking ability for patients with femoral neck fractures is unclear. This study investigated the influence of these muscles on postoperative walking function using computed tomography (CT).

methodsA retrospective analysis was conducted on 58 patients (12 male, 46 female) who underwent bipolar hemiarthroplasty for femoral neck fractures between January 2018 and July 2021. Patients were followed up for at least six months postoperatively and categorized into two groups: the independent walking group (41 patients) and the non-walking group (17 patients). Patient data, including sex, age at surgery, body mass index (BMI), and preoperative walking status, were compared. Additionally, preoperative CT scans assessed the cross-sectional areas and CT values of the gluteus medius, gluteus maximus, and rectus femoris muscles on the unaffected side. These measurements were compared between the two groups.

resultsNo significant differences were observed between the groups regarding sex, age, BMI, or preoperative walking status. The CT values of the gluteus medius and gluteus maximus were significantly lower in the non-walking group compared with the walking group (gluteus medius: 39.3 ± 7.5 Hounsfield units (HU) vs. 28.6 ± 6.9 HU; P < 0.01; gluteus maximus: 33.0 ± 8.1 HU vs. 23.3 ± 10.7 HU; P < 0.01), whereas no significant differences were found for the rectus femoris. Cross-sectional areas of all muscles did not show significant differences between the two groups. Receiver operating characteristic curve analysis revealed that the gluteus medius had an area under the curve (AUC) of 0.86, with a sensitivity of 0.78 and specificity of 0.82, using a cut-off of 33.1 HU. The gluteus maximus had an AUC of 0.77, with a sensitivity of 0.63 and specificity of 0.77, using a cut-off of 31.6 HU.

conclusionsPreoperative CT values of the gluteus medius and gluteus maximus were lower in the non-walking group, suggesting that these muscles influence postoperative walking ability. Preoperative CT evaluation of these muscles can be a useful predictor of postoperative walking outcomes.

Indexed as

Femoral Neck FracturesHemiarthroplastyMuscle, SkeletalTomography, X-Ray ComputedWalkingAgedAged, 80 and overFemaleHumansMaleMiddle AgedPostoperative PeriodPreoperative CarePreoperative PeriodRecovery of FunctionRetrospective StudiesComputed tomographyFemoral neck fracturegluteus maximusgluteus mediusWalking ability

Identifiers

PMID40382569
PMCPMC12084992

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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.