Evidence map›Paper›PMID 39130490›Full record

ArticleInternational journal of general medicine2024

Assessing Thoracic Vertebral Bone Mineral Density (T8-T10) for Osteoporosis Diagnosis During CT Lung Cancer Screening in Older Adults.

Song Li, Nandong Hu, Zicheng Wei, Jiangchuan Wang, Rongzhou Wang, Xifa Gao, Yingping Qiu, Xiao Chen

Abstract read
In one paragraph

Article in International journal of general medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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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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

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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. 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.

Song Li *Department of Radiology, The Second Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, 230040, People's Republic of China.
Nandong Hu *Department of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People's Republic of China.
Zicheng WeiDepartment of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People's Republic of China.
Jiangchuan WangDepartment of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People's Republic of China.
Rongzhou WangDepartment of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People's Republic of China.
Xifa GaoDepartment of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People's Republic of China.
Yingping QiuDepartment of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People's Republic of China.
Xiao ChenDepartment of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Osteoporosis diagnosis often utilizes quantitative computed tomography (QCT). This study explored the validity of applying lumbar bone mineral density (LBMD) standards to thoracic vertebrae (T8-T10) for osteoporosis detection during CT lung cancer screenings. This study investigated the utility of thoracic BMD (BMD-T8-T10) for detecting osteoporosis in older persons during CT lung cancer screening. Methods: We studied 701 participants who underwent QCT scans for both LBMD and BMD-T8-T10. Osteoporosis was diagnosed using ACR criteria based on LBMD. We determined BMD-T8-T10 thresholds via a receiver operating characteristic (ROC) curve and translated BMD-T8+T9+T10 to LBMD (TTBMD) using linear regression. Kappa test was used to evaluate the accuracy of BMD-T8-T10 thresholds and TTBMD in diagnosing osteoporosis. Results: Raw BMD-T8-T10 poorly identified osteoporosis (kappa = 0.51). ROC curve analysis identified BMD-T8-T10 thresholds for osteopenia (138 mg/cm3) and osteoporosis (97 mg/cm3) with areas under the curve of 0.97 and 0.99, respectively. We normalized BMD-T8-T10 to TTBMD based on the formula: TTBMD = 0.9 × BMD-T8-T10 - 2.56. These thresholds (kappa = 0.74) and TTBMD performed well in detecting osteoporosis/osteopenia (kappa = 0.74). Conclusion: Both calculating BMD-T8-T10 threshold (138.0 mg/cm

Indexed as

Computed tomographylung cancerosteoporosisquantitative computed tomographythoracic vertebral bone mineral density

Identifiers

PMID39130490
PMCPMC11316484

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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.