Evidence map›Paper›PMID 40688361›Full record

ArticleGeriatric orthopaedic surgery & rehabilitation2025

CT-Based Evaluation of Bone Mineral Density Distribution of Proximal Femur in Patients With Femoral Trochanteric Fracture.

Daisuke Enomoto, Hyonmin Choe, Masahiro Matsumoto, Koki Abe, Kazuyoshi Yamamoto, Kousuke Matsuo, Hiroyuki Makita, Naomi Kobayashi, Yutaka Inaba

Abstract read
In one paragraph

Article in Geriatric orthopaedic surgery & rehabilitation, 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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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Daisuke EnomotoDepartment of Orthopedic Surgery, Yokohama City University, Yokohama, Japan.ORCID https://orcid.org/0009-0009-8596-4725
Hyonmin ChoeDepartment of Orthopedic Surgery, Yokohama City University, Yokohama, Japan.ORCID https://orcid.org/0000-0003-4432-2303
Masahiro MatsumotoAdvanced Critical Care and Emergency Center, Yokohama City University Medical Center, Yokohama, Japan.
Koki AbeDepartment of Orthopedic Surgery, Yokohama City University, Yokohama, Japan.
Kazuyoshi YamamotoDepartment of Orthopedic Surgery, Yokosuka General medical center, Yokosuka, Japan.
Kousuke MatsuoDepartment of Orthopedic Surgery, Fujisawa City Hospital, Fuzisawa, Japan.
Hiroyuki MakitaDepartment of Orthopedic Surgery, International University of Health and Welfare Hospital, Shizuoka, Japan.
Naomi KobayashiDepartment of Orthopedic Surgery, Yokohama City University Medical Center, Yokohama, Japan.
Yutaka InabaDepartment of Orthopedic Surgery, Yokohama City University, Yokohama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Surgical treatment of proximal femoral fractures typically involves fixation with intramedullary nailing or sliding hip screws, where screws inserted into the femoral head stabilize the fracture site. However, few studies have quantitatively assessed the distribution of bone density and quality within the femoral head. We investigated the distribution of bone mineral density (BMD) within the proximal femoral head, evaluated inter-patient variability, and examined associated factors based on computed tomography (CT) values. Methods: This multicenter prospective observational study included 100 patients with femoral trochanteric fractures. Preoperative CT images were obtained from the first lumbar vertebra to the distal end of the femur. Using 3D Slicer (version 7), the proximal uninjured femur was segmented and reconstructed into a 3D model. The volume and CT values (Hounsfield units [HU]) of the proximal femur and femoral head were measured. Additionally, CT values were used to assess the bone volume and distribution of low bone-density areas (0-100 HU) and high bone-density areas (≥300 HU) in the femoral head. Results: The average bone volume and CT values of proximal femur and femoral head were 90,641 mm Conclusion: A distribution of CT values within the femoral head is characteristic of patients with femoral trochanteric fractures. Using HU values from CT imaging to predict bone fragility preoperatively may aid in assessing the risk of postoperative complications.

Indexed as

bone density distributionfemoral head bone densityfemoral trochanteric fractureHounsfield unitosteoporosis assessment

Identifiers

PMID40688361
PMCPMC12276526

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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.