Evidence map›Paper›PMID 38457607›Full record

ArticleThe British journal of radiology2024

Comparisons of Hounsfield units and volumetric bone density in discriminating vertebral fractures on lumbar CT scans.

Fengyun Zhou, Wenshuang Zhang, Jian Geng, Yandong Liu, Yi Yuan, Kangkang Ma, Zitong Cheng, Pengju Huang, Xiaoguang Cheng, Ling Wang and 1 more

Abstract readComparative Study
In one paragraph

Article in The British journal of radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Low energy Schatzker IV, V, and VI tibial plateau fractures are a marker of local poor bone quality.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 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

11 authors.

Fengyun ZhouDepartment of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China.ORCID 0000-0001-9234-1635
Wenshuang ZhangDepartment of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China.
Jian GengDepartment of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China.
Yandong LiuDepartment of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China.
Yi YuanDepartment of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China.
Kangkang MaDepartment of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China.
Zitong ChengDepartment of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China.
Pengju HuangDepartment of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China.
Xiaoguang ChengDepartment of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China.
Ling WangDepartment of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China.ORCID 0000-0002-5129-4999
Yajun LiuJST sarcopenia Research Centre, National Center for Orthopaedics, Beijing Research Institute of Traumatology and Orthopaedics, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China.

Funding

Beijing Hospitals Authority Clinical Medicine Development of Special Funding ZYLX202107Beijing Municipal Public Welfare Development and Reform Pilot Project for Medical Research Institutes JYY2023-8National Key R&D Program of China 2021YFC2501703National Natural Science Foundation of China 82371956National Natural Science Foundation of China 82371957
6 · The paper itself

Abstract

objectivesTo compare the performance of areal Hounsfield units (aHUs), volumetric Hounsfield units (vHUs), and volumetric bone mineral density (vBMD) by quantitative CT (QCT) in discriminating vertebral fractures (VFs) risk.

methodsWe retrospectively included CT scans of the lumbar spine 101 VFs cases (60 women, mean age: 64 ± 4 years; 41 men, mean age: 73 ± 10 years) and sex- and age-matched 101 control subjects (60 women, mean age: 64 ± 4 years; 41 men, mean age: 72 ± 7 years). In order to assess the discriminatory capability of aHU, vHU, and vBMD measurements at the L1 and L2 levels in identifying VFs, we conducted binary logistic regression and receiver operating characteristic (ROC) curve analyses in men and women. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated.

resultsIn both men and women with and without VFs, aHU, vHU, and vBMD were highly correlated with each other (r2 from 0.832 to 0.957, all P < .001). There was a statistically significant difference in aHU, vHU, and vBMD between subjects with and without VFs (P < .001). When age, gender, and BMI were taken into account as covariances and adjusted simultaneously, odds ratios (ORs) for aHU, vHU, and vBMD values, which represent the risk of VFs, were significant (P < .001). Compared with aHU and vHU, vBMD was more strongly associated with VF risk (vBMD: OR, 6.29; 95% CI, 3.83-10.35 vs vHU: OR, 3.64; 95% CI, 2.43-5.46 vs aHU: OR, 2.56; 95% CI, 1.79-3.67). In both men and women, further, vBMD had higher values for AUC, sensitivity, specificity, PPV, and NPV compared to vHU, with vHU in turn surpassing aHU. The area under the receiver operating characteristic curve (AUC) for discriminating VFs using the average aHU, vHU, and vBMD of 2 vertebrae was 0.72, 0.77, and 0.87 in men and 0.76, 0.79, and 0.86 in women. In both men and women, there exist statistically significant differences in the AUC when employing the 3 measurements-namely, aHU, vHU, and vBMD-to discriminate fractures (P < .05).

conclusionsThe QCT-measured vBMD is more associated with acute VFs than vHU and aHU values of the lumbar spine. Although the use of vHU and aHU values for the diagnosis of osteoporosis and discriminating fracture risk is limited to scanner- and imaging protocol-specific, they have great potential for opportunistic osteoporosis screening, particularly vHU. ADVANCES IN KNOWLEDGE: The novelty of this study presents a comparison of the VF discriminative capabilities among aHU, vHU, and vBMD. The vHU values introduced in this study demonstrate a greater capacity to discriminate fractures compared to aHU, presenting an improved clinical choice. Although its discriminatory capability is slightly lower than that of vBMD, it is more convenient to measure and does not require specialized software.

Indexed as

Bone DensityLumbar VertebraeSpinal FracturesTomography, X-Ray ComputedAgedCase-Control StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesROC CurveSensitivity and SpecificityHounsfield unitsquantitative computer tomographyvertebral fracturesvolumetric bone mineral density

Identifiers

PMID38457607
PMCPMC11075977

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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.