Evidence map›Paper›PMID 39992501›Full record

ArticleArchives of osteoporosis2025

Assessment of osteoporosis and vertebral fractures with T1- and T2-weighted MRI scans.

Rahman Ud Din, Ling Wang, Xiaoguang Cheng, Haisheng Yang

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Article in Archives of osteoporosis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Rahman Ud DinDepartment of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, 100 Pingleyuan, Chaoyang District, Beijing, 100124, China.
Ling WangDepartment of Radiology, Jishuitan Hospital, Beijing, China.
Xiaoguang ChengDepartment of Radiology, Jishuitan Hospital, Beijing, China.
Haisheng YangDepartment of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, 100 Pingleyuan, Chaoyang District, Beijing, 100124, China. haisheng.yang@bjut.edu.cn.

Funding

Beijing Natural Science Foundation L232058National Natural Science Foundation of China 12272017
6 · The paper itself

Abstract

Osteoporosis is related to changes in vertebral bone marrow tissues, which can be detected by MRI. A novel MRI scoring method based on routine T1 and T2 sequences has been developed and demonstrated capabilities in detecting osteoporosis and discriminating vertebral fractures. The scoring method may provide an alternative tool other than BMD measurement for broad, opportunistic use in clinics. PURPOSE: As a routinely used radiation-free modality at the spine, magnetic resonance imaging (MRI) is promising to assess osteoporosis because it can detect age- or osteoporosis-related changes in bone marrow tissues. Here, we proposed a new MRI scoring method using the patient's low-back subcutaneous fat and cerebrospinal fluid as reference controls on routine T1 and T2 sequences, respectively, to indicate proton-rich changes in vertebrae for assessing osteoporosis and vertebral fractures.

methodsThe study included 60 female patients (64.1 ± 15.9 years) who underwent both MRI and quantitative computed tomography (QCT) at spine. T1-based F-score

resultsThe F-score

conclusionA new MRI scoring method based on routine T1 and T2 sequences has been developed and demonstrated improved abilities in detecting osteoporosis and discriminating vertebral fractures over VBQ and SNR.

Indexed as

Magnetic Resonance ImagingOsteoporosisOsteoporotic FracturesSpinal FracturesAgedAged, 80 and overBone DensityFemaleHumansLumbar VertebraeMiddle AgedROC CurveTomography, X-Ray ComputedBone marrow fatMagnetic resonance imagingOsteoporosisQuantitative computed tomographyVertebral fractures

Identifiers

PMID39992501

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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.