Evidence map›Paper›PMID 38459138›Full record

ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2024

Semi-automatic proximal humeral trabecular bone density assessment tool: technique application and clinical validation.

De-Ming Guo, Yuan-Zhi Weng, Ze-Hao Yu, Shi-Huai Li, Wen-Rui Qu, Xiao-Ning Liu, Huan Qi, Chi Ma, Xiong-Feng Tang, Rui-Yan Li and 4 more

Erratum issuedAbstract readValidation Study
PubMed Publisher
In one paragraph

Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.6field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Asymmetric distribution of vertebral bone microstructure in coronal adult spinal deformity: a cross-sectional study based on quantitative CT.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
  3. Article
  4. Comment on "Semi‑automatic proximal humeral trabecular bone density assessment tool: technique application and clinical validation".Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
    Article
  5. Quantitative computed tomography provides improved accuracy for diagnosis of lumbar osteoporosis in patients with facet joint osteoarthritis: a cross-sectional study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
    Article
  6. Article
  7. Correlation between paraspinal muscle fat infiltration and thoracic vertebral degeneration based on phantom-less QCT: a novel insight into thoracic vertebral degeneration.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 3 countries.

De-Ming Guo *Orthopaedic Medical Center, The Second Norman Bethune Hospital of Jilin University, Changchun, People's Republic of China.
Yuan-Zhi Weng *Orthopaedic and Traumatology, The University of Hong Kong, Hong Kong, People's Republic of China.
Ze-Hao YuOrthopaedic Medical Center, The Second Norman Bethune Hospital of Jilin University, Changchun, People's Republic of China.
Shi-Huai LiOrthopaedic Medical Center, The Second Norman Bethune Hospital of Jilin University, Changchun, People's Republic of China.
Wen-Rui QuJilin Provincial Key Laboratory of Orthopaedics, Changchun, People's Republic of China.
Xiao-Ning LiuOrthopaedic Medical Center, The Second Norman Bethune Hospital of Jilin University, Changchun, People's Republic of China.
Huan QiBone's Technology Limited, Shenzhen, Hong Kong, People's Republic of China.
Chi MaOrthopaedic and Traumatology, The University of Hong Kong, Hong Kong, People's Republic of China.
Xiong-Feng TangOrthopaedic Medical Center, The Second Norman Bethune Hospital of Jilin University, Changchun, People's Republic of China.
Rui-Yan LiOrthopaedic Medical Center, The Second Norman Bethune Hospital of Jilin University, Changchun, People's Republic of China.
Qinghe HanRadiology Department, The Second Norman Bethune Hospital of Jilin University, Changchun, People's Republic of China.
Hao XuJoint International Research Laboratory of Ageing Active Strategy and Bionic Health in Northeast Asia of Ministry of Education, Jilin University, Changchun, 130041, Jilin Province, China.
Weijia William LuOrthopaedic and Traumatology, The University of Hong Kong, Hong Kong, People's Republic of China. wwlu@hku.hk.
Yan-Guo QinOrthopaedic Medical Center, The Second Norman Bethune Hospital of Jilin University, Changchun, People's Republic of China. qinyg@jlu.edu.cn.ORCID http://orcid.org/0000-0003-3296-3779
Jilin University · CNChinese University of Hong Kong · HKFirst Bethune Hospital of Jilin University · CN

Funding

Graduate Innovation Program of Jilin University NO.2023CX122he 2023 Science and Technology Project of Jilin Provincial Department of Education JJKH20231226KJJilin province natural science foundation 20190201218JCThe Health Service Capacity Building Projects of Jilin Province 05KA001026009002The National Natural Science Foundation of China U21A20390The Special Foundation for Science and Technology Innovation of Jilin 20200201566JC
6 · The paper itself

Abstract

purposeThis study aimed to apply a newly developed semi-automatic phantom-less QCT (PL-QCT) to measure proximal humerus trabecular bone density based on chest CT and verify its accuracy and precision.

methodsSubcutaneous fat of the shoulder joint and trapezius muscle were used as calibration references for PL-QCT BMD measurement. A self-developed algorithm based on a convolution map was utilized in PL-QCT for semi-automatic BMD measurements. CT values of ROIs used in PL-QCT measurements were directly used for phantom-based quantitative computed tomography (PB-QCT) BMD assessment. The study included 376 proximal humerus for comparison between PB-QCT and PL-QCT. Two sports medicine doctors measured the proximal humerus with PB-QCT and PL-QCT without knowing each other's results. Among them, 100 proximal humerus were included in the inter-operative and intra-operative BMD measurements for evaluating the repeatability and reproducibility of PL-QCT and PB-QCT.

resultsA total of 188 patients with 376 shoulders were involved in this study. The consistency analysis indicated that the average bias between proximal humerus BMDs measured by PB-QCT and PL-QCT was 1.0 mg/cc (agreement range - 9.4 to 11.4; P > 0.05, no significant difference). Regression analysis between PB-QCT and PL-QCT indicated a good correlation (R-square is 0.9723). Short-term repeatability and reproducibility of proximal humerus BMDs measured by PB-QCT (CV: 5.10% and 3.41%) were slightly better than those of PL-QCT (CV: 6.17% and 5.64%).

conclusionsWe evaluated the bone quality of the proximal humeral using chest CT through the semi-automatic PL-QCT system for the first time. Comparison between it and PB-QCT indicated that it could be a reliable shoulder BMD assessment tool with acceptable accuracy and precision. This study developed and verify a semi-automatic PL-QCT for assessment of proximal humeral bone density based on CT to assist in the assessment of proximal humeral osteoporosis and development of individualized treatment plans for shoulders.

Indexed as

Bone DensityCancellous BoneHumerusTomography, X-Ray ComputedAdultAgedAged, 80 and overAlgorithmsFemaleHumansMaleMiddle AgedOsteoporosisPhantoms, ImagingReproducibility of ResultsBone mineral densityHumeral proximalPhantom-less QCT

Identifiers

PMID38459138
OpenAlexW4392764299

What OpenQuestion holds

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Registered trials

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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.