Evidence map›Paper›PMID 40951813›Full record

ArticleTherapeutic advances in musculoskeletal disease2025

Comparison of thoracic vertebrae and L1 CT attenuation in predicting osteoporosis using opportunistic chest CT.

Lilan Wu, Shunfa Huang, Liling Xu, Shengxiang Rao, Zhen Qian, Mengze Zhang, Ying Yuan, Jianjun Zhou

Abstract read
In one paragraph

Article in Therapeutic advances in musculoskeletal disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
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

8 authors.

Lilan WuDepartment of Radiology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.ORCID https://orcid.org/0000-0003-2353-6329
Shunfa HuangDepartment of Radiology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.
Liling XuDepartment of Geriatrics, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.
Shengxiang RaoDepartment of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Zhen QianInstitute of Intelligent Diagnostics, Beijing United-Imaging Research Institute of Intelligent Imaging, Beijing, China.
Mengze ZhangInstitute of Intelligent Diagnostics, Beijing United-Imaging Research Institute of Intelligent Imaging, Beijing, China.
Ying YuanDepartment of Geriatrics, Zhongshan Hospital, Fudan University, No. 180, Fenglin Road, Xuhui District, Shanghai 200032, China.
Jianjun ZhouDepartment of Radiology, Zhongshan Hospital (Xiamen), Fudan University, No. 668 Jinhu Road, Huli District, Xiamen, Fujian 361015, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Since dual-energy x-ray absorptiometry (DXA) is currently the most commonly used reference standard, most previous studies using computed tomography (CT) attenuation values to predict osteoporosis have chosen abdominal CT images. A few studies have investigated whether the thoracic vertebrae can be independently used for the identification of osteoporosis compared to the lumbar vertebrae. Objective: To investigate whether the attenuation values of thoracic vertebrae measured using artificial intelligence (AI) on chest CT would independently predict osteoporosis identification, considering central DXA as a reference standard. Design: This was a cross-sectional study. Methods: A total of 553 participants (353 men and 200 women) who underwent chest CT and DXA within 1 day were included. The attenuation values (HU) of the T7-12 vertebrae and L1 vertebra were obtained by AI. The effects of the clinical baseline data and attenuation values among the normal, osteopenia, and osteoporosis groups were compared. The correlation between attenuation and bone mineral density (BMD) values was analyzed, and the diagnostic performance of thoracic and first lumbar vertebrae attenuation values for diagnosing osteopenia or osteoporosis was further explored. Results: The CT attenuation values of T7-12 and L1 vertebrae showed positive correlation with Conclusion: Opportunistic screening is a valid method for predicting osteopenia or osteoporosis. As a rapid and effective tool, T10-12 vertebral attenuation measures can be incorporated to predict osteoporosis and identify patients who may benefit from further investigations using DXA based on routine clinical chest CT examinations.

Indexed as

artificial intelligence (AI)bone mineral density (BMD)chest computed tomography (CT)dual-energy X-ray absorptiometry (DXA)osteoporosis screening

Identifiers

PMID40951813
PMCPMC12432313

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.