Evidence map›Paper›PMID 36571604›Full record

ArticleEuropean radiology2023

Comprehensive assessment of osteoporosis in lumbar spine using compositional MR imaging of trabecular bone.

Jin Liu, Jian-Di Chen, Ping Li, Jian-Wei Liao, Jia-Xin Feng, Zi-Yang Chen, Zhi-Yuan Cai, Wei Li, Xiao-Jun Chen, Zhi-Hai Su and 3 more

Abstract read
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In one paragraph

Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 28% 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.

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

7 citing papers in PubMed, 5 citations in OpenAlex.

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  7. Quantitative analysis of vertebral fat fraction and R2BMC musculoskeletal disorders · 2023
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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

13 authors at 3 institutions in 2 countries.

Jin LiuDepartment of Radiology, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, 519000, Guangdong Province, China.
Jian-Di ChenDepartment of Radiology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
Ping LiGuangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China.
Jian-Wei LiaoDepartment of Radiology, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, 519000, Guangdong Province, China.
Jia-Xin FengDepartment of Radiology, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, 519000, Guangdong Province, China.
Zi-Yang ChenDepartment of Spinal Surgery, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong Province, China.
Zhi-Yuan CaiGuangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China.
Wei LiDepartment of Radiology, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, 519000, Guangdong Province, China.
Xiao-Jun ChenDepartment of Radiology, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, 519000, Guangdong Province, China.
Zhi-Hai SuDepartment of Spinal Surgery, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong Province, China.
Hai LuDepartment of Spinal Surgery, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong Province, China.
Shao-Lin LiDepartment of Radiology, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, 519000, Guangdong Province, China. lishlin5@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0003-1965-0217
Ya-Jun MaDepartment of Radiology, University of California San Diego, 9452 Medical Center Drive, La Jolla, CA, 92037, USA.
Sun Yat-sen University · CNFirst Affiliated Hospital of Jinan University · CNUniversity of California San Diego · US

Funding

Foundation for the National Institutes of Health R01AR079484Foundation for the National Institutes of Health R21AR075851National Natural Science Foundation of China Grant Nos. 82172053
6 · The paper itself

Abstract

objectivesTo comprehensively assess osteoporosis in the lumbar spine, a compositional MR imaging technique is proposed to quantify proton fractions for all the water components as well as fat in lumbar vertebrae measured by a combination of a 3D short repetition time adiabatic inversion recovery prepared ultrashort echo time (STAIR-UTE) MRI and IDEAL-IQ.

methodsA total of 182 participants underwent MRI, quantitative CT, and DXA. Lumbar collagen-bound water proton fraction (CBWPF), free water proton fraction (FWPF), total water proton fraction (TWPF), bone mineral density (BMD), and T-score were calculated in three vertebrae (L2-L4) for each subject. The correlations of the CBWPF, FWPF, and TWPF with BMD and T-score were investigated respectively. A comprehensive diagnostic model combining all the water components and clinical characteristics was established. The performances of all the water components and the comprehensive diagnostic model to discriminate between normal, osteopenia, and osteoporosis cohorts were also evaluated using receiver operator characteristic (ROC).

resultsThe CBWPF showed strong correlations with BMD (r = 0.85, p < 0.001) and T-score (r = 0.72, p < 0.001), while the FWPF and TWPF showed moderate correlations with BMD (r = 0.65 and 0.68, p < 0.001) and T-score (r = 0.47 and 0.49, p < 0.001). The high area under the curve values obtained from ROC analysis demonstrated that CBWPF, FWPF, and TWPF have the potential to differentiate the normal, osteopenia, and osteoporosis cohorts. At the same time, the comprehensive diagnostic model shows the best performance.

conclusionsThe compositional MRI technique, which quantifies CBWPF, FWPF, and TWPF in trabecular bone, is promising in the assessment of bone quality. KEY POINTS: • Compositional MR imaging technique is able to quantify proton fractions for all the water components (i.e., collagen-bound water proton fraction (CBWPF), free water proton fraction (FWPF), and total water proton fraction (TWPF)) in the human lumbar spine. • The biomarkers derived from the compositional MR imaging technique showed moderate to high correlations with bone mineral density (BMD) and T-score and showed good performance in distinguishing people with different bone mass. • The comprehensive diagnostic model incorporating CBWPF, FWPF, TWPF, and clinical characteristics showed the highest clinical diagnostic capability for the assessment of osteoporosis.

Indexed as

Bone Diseases, MetabolicOsteoporosisAbsorptiometry, PhotonBone DensityCancellous BoneCollagenHumansLumbar VertebraeMagnetic Resonance ImagingProtonsWaterCollagenProtonsWaterBone densityMagnetic resonance imagingOsteoporosisTrabecular bone

Identifiers

PMID36571604
OpenAlexW4312195922

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.