Evidence map›Paper›PMID 41860174›Full record

ArticleOrthopaedic surgery2026

MRI-Based Inter-Vertebral Signal Concordance Index Is a Risk Factor of Osteoporotic Vertebral Compression Fracture: A Novel Index Inspired by Entropy.

Xianming Huang, Chenhui Cai, Song Huang, Chao Tang, Xu Zhao, Sizhen Yang, Xuan Wen, Ying Zhang, Tongwei Chu

Abstract read
In one paragraph

Article in Orthopaedic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Xianming HuangDepartment of Orthopedic Surgery, Second Affiliated Hospital of Army Medical University, Chongqing, China.ORCID https://orcid.org/0000-0002-2332-3457
Chenhui CaiDepartment of Orthopedic Surgery, Second Affiliated Hospital of Army Medical University, Chongqing, China.ORCID https://orcid.org/0000-0001-6919-2731
Song HuangDepartment of Nursing, Chongqing Tongnan District People's Hospital, Chongqing, China.
Chao TangDepartment of Orthopedic Surgery, Second Affiliated Hospital of Army Medical University, Chongqing, China.ORCID https://orcid.org/0000-0002-9352-6567
Xu ZhaoDepartment of Orthopedic Surgery, Second Affiliated Hospital of Army Medical University, Chongqing, China.
Sizhen YangDepartment of Orthopedic Surgery, Second Affiliated Hospital of Army Medical University, Chongqing, China.ORCID https://orcid.org/0000-0001-8962-2700
Xuan WenDepartment of Orthopedic Surgery, Second Affiliated Hospital of Army Medical University, Chongqing, China.ORCID https://orcid.org/0000-0003-2074-3701
Ying ZhangDepartment of Orthopedic Surgery, Second Affiliated Hospital of Army Medical University, Chongqing, China.ORCID https://orcid.org/0000-0002-7785-9126
Tongwei ChuDepartment of Orthopedic Surgery, Second Affiliated Hospital of Army Medical University, Chongqing, China.ORCID https://orcid.org/0000-0003-0309-7082

Funding

Chongqing Technology innovation and application development project CSTB2022TIAD-KPX0192
6 · The paper itself

Abstract

objectiveMRI-derived vertebral bone quality (VBQ) score predicts osteoporotic vertebral compression fracture (OVCF) in a fat-dependent way. This retrospective study aimed to evaluate the predictive potential of inter-vertebral signal concordance index (ISCI), derived by MRI in a fat-independent way, as a novel factor for assessing the risk of OVCF.

methodsPatients who suffered OVCF (OVCF group) and lumbar degenerative diseases (non-OVCF group) between January 2022 and July 2024 were included. The ISCI was calculated from the MRI signal intensity of the L1-L4 vertebrae, measured from the lumbar T1-weighted, T2-weighted, and short tau inversion recovery (STIR)-weighted sequences. The demographic data, including sex, age, body mass index (BMI), and medical history, were recorded. The ISCIs of the OVCF and non-OVCF groups were additionally compared. Inter-group comparisons were performed using the rank-sum, chi-square, or median test, as appropriate. Risk factors were identified by logistic regression, and correlations were assessed using Spearman's correlation coefficient.

resultsA total of 448 patients were included in this study. The T1-ISCIs, T2-ISCIs, and STIR-ISCIs of the OVCF group were higher than those of the non-OVCF cohort (13.18 vs. 9.90, 14.69 vs. 10.68, and 19.31 vs. 15.67, respectively, all p < 0.001). Comparative analysis of the ISCIs across the subgroups categorized by sex and age revealed that the T1-ISCIs, T2-ISCIs, and STIR-ISCIs were higher in the OVCF group. Additionally, there were no significant differences in the ISCIs across fresh, old, and fresh + old fracture type subgroups. The results of multivariate logistic regression analysis revealed that the STIR-ISCI (odds ratio (OR) = 1.025, p = 0.013) could serve an independent predictive factor for assessing the risk of OVCF.

conclusionsThe study evaluated a novel index for predicting the risk of OVCF. The T1-ISCI and STIR-ISCI could serve as potential predictive factors for evaluating the risk of OVCF in clinical practice.

Indexed as

Fractures, CompressionLumbar VertebraeMagnetic Resonance ImagingOsteoporotic FracturesSpinal FracturesAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk Factorsbone mineral densityinter‐vertebral signal concordance indexosteoporosisosteoporotic vertebral compression fracturerisk factor

Identifiers

PMID41860174
PMCPMC13056470

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.