Evidence map›Paper›PMID 32767060›Full record

ArticleSkeletal radiology2021

Use of routine computed tomography scans for detecting osteoporosis in thoracolumbar vertebral bodies.

Ping Wang, Wei She, Zeqing Mao, Xing Zhou, Yu Li, Jinjin Niu, Min Jiang, Gang Huang

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in Skeletal radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07739628 (Prospective Clinical Validation Study of a Deep Learning Model for Opportunistic Osteoporosis Screening Based on Non-Contrast CT Scans), which is not on this map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.0field-weighted citation impact, top 9% 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.

NCT07739628 enrolling by invitationnot on this mapstarted 2026, after this paper: background citation

Prospective Clinical Validation Study of a Deep Learning Model for Opportunistic Osteoporosis Screening Based on Non-Contrast CT Scans

Typeobservational_patient_registrySponsorUnion Hospital, Tongji Medical College, Huazhong University of Science and TechnologyRan2026 to 2026Enrolled100ConditionsOsteoporosisArmsDeepBMD model for osteoporosis risk screening
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Diagnostic performance of lumbar computed tomography Hounsfield unit thresholds for osteoporosis and osteopenia: a systematic review and meta-analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Review
  3. Deep learning model for osteoporosis screening on chest CT with low tube voltage.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
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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 at 1 institution in 1 country.

Ping WangDepartment of Radiology, Gansu Provincial Hospital, No.204, Donggang West Street, Chengguan District, Lanzhou, 730000, Gansu, China.
Wei SheDepartment of orthopedics, Gansu Provincial Hospital, Lanzhou, 730000, Gansu, China.
Zeqing MaoDepartment of Radiology, Gansu Provincial Hospital, No.204, Donggang West Street, Chengguan District, Lanzhou, 730000, Gansu, China.
Xing ZhouDepartment of Radiology, Gansu Provincial Hospital, No.204, Donggang West Street, Chengguan District, Lanzhou, 730000, Gansu, China.
Yu LiDepartment of Radiology, Gansu Provincial Hospital, No.204, Donggang West Street, Chengguan District, Lanzhou, 730000, Gansu, China.
Jinjin NiuDepartment of Radiology, Gansu Provincial Hospital, No.204, Donggang West Street, Chengguan District, Lanzhou, 730000, Gansu, China.
Min JiangDepartment of Radiology, Gansu Provincial Hospital, No.204, Donggang West Street, Chengguan District, Lanzhou, 730000, Gansu, China.
Gang HuangDepartment of Radiology, Gansu Provincial Hospital, No.204, Donggang West Street, Chengguan District, Lanzhou, 730000, Gansu, China. gssrmyyfskwp@126.com.
Gansu Provincial Hospital · CN

Funding

Gansu provincial hospital foundation 16GSSY7-7Lanzhou Guiding Science Foundation project 2019-ZD-108
6 · The paper itself

Abstract

objectiveThis study observed the distribution of CT attenuation values for T10-L3 vertebral bodies and derived the Hounsfield unit (HU) thresholds using the quantitative computed tomography (QCT) as a reference to predict osteoporosis and normal bone density.

methodsWe included 482 subjects who were scheduled to undergo CT lung cancer screening and pulmonary nodule follow-up from May 2015 to February 2019. The subjects were scanned with the calibration phantom beneath the back while performing a chest CT scan. The volumetric bone mineral density (vBMD) and CT attenuation values of T10-L3 vertebral bodies were measured, and the correlation between the two measurements was analyzed. Receiver operator characteristic (ROC) curves were generated to determine diagnostic optimal thresholds.

resultsA total of 2716 vertebral bodies of 457 participants were measured after exclusion screening. CT attenuation value of each plane's vertebral body showed a strong correlation with vBMD. The optimal threshold of > 141 HU was 93.5% sensitive and 86.1% specific for the recognition of normal BMD. The optimal threshold of < 102.4 HU was 96.9% specific and 82.1% sensitive for distinguishing osteoporosis from osteopenia and normal BMD. The average CT attenuation values of vertebral bodies with compressed and normal morphology were 108.9 ± 20.6 and 136.8 ± 32.2 HU, respectively.

conclusionSagittal reconstruction of the thoracic vertebrae using routine thoracic CT image combined with CT attenuation value measurements of the spine is valuable for predicting bone mineral density in high-risk populations. The mean CT attenuation values of the vertebral bodies with vertebral compression appearance were lower than that of normal vertebral shape.

Indexed as

Lung NeoplasmsOsteoporosisAbsorptiometry, PhotonBone DensityEarly Detection of CancerHumansLumbar VertebraeTomography, X-Ray ComputedVertebral BodyBMDComputed tomographyCT attenuation valueOsteoporosisQCT

Identifiers

PMID32767060
OpenAlexW3048260228

What OpenQuestion holds

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Registered trials

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.