Evidence map›Paper›PMID 42730964›Full record

ArticleClinical rheumatology2026

Multi-habitat radiomics on T2-FS MRI for identifying spatial patterns of axial spondyloarthritis-associated bone marrow edema.

Zhihao Zhang, Zongliang Huang, Yandan Shi, Jinhua Hu, Peng Lei, Jiayu Wu, Ziyuan Yang, Jinqing Su, Qi Wu, Haizhi Ma and 2 more

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Article in Clinical rheumatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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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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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Zhihao Zhang *Department of Radiology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Zongliang Huang *Department of Radiology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Yandan Shi *Department of Radiology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Jinhua HuDepartment of Radiology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Peng LeiDepartment of Radiology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Jiayu WuDepartment of Radiology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Ziyuan YangDepartment of Radiology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Jinqing SuDepartment of Radiology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Qi WuDepartment of Radiology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Haizhi MaDepartment of Radiology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Changhui Huang *Department of Radiology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China. hch7891@sina.com.
Xiqi Zhu *Department of Radiology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China. xiqi.zhu@ymun.edu.cn.ORCID http://orcid.org/0000-0002-5594-6878

Funding

the Guangxi Key Laboratory for Preclinical and TranslationalResearch on Bone and Joint Degenerative Diseases, Baise, China. CN-1215-20014; GX203312the National Natural Science Foundation of China Grant No. 82460226the Natural Science Foundation of Guangxi Autonomous Region 2025GXNSFHA069156, 2023GXNSFAA026383
6 · The paper itself

Abstract

introductionConventional radiomics neglects the spatial heterogeneity of bone marrow edema (BME). We developed a multi-habitat radiomics model using fat-suppressed T2-weighted (T2-FS) MRI to quantify BME spatial patterns in axial spondyloarthritis (axSpA) to objectively assist in the identification of active sacroiliitis.

methodsThis multicenter study included 439 patients with suspected axSpA undergoing sacroiliac joint MRI (divided into train/validation/external test cohorts: n = 192/84/163). Unsupervised K-means clustering of voxel-wise T2-FS features partitioned BME into four habitats. Radiomics features were extracted from habitats and whole-lesions to optimize support vector machine (SVM) classifiers. A "Leave-One-Habitat-Out" ablation study evaluated each subregion's diagnostic contribution.

resultsThe multi-habitat SVM model achieved an area under the receiver operating characteristic curve (AUC) of 0.883 in the independent test set, significantly outperforming the whole-lesion model (AUC 0.714; P < 0.001), with a net reclassification improvement of 0.927. The ablation study identified the putative peripheral transition zone (H1) and hyperintense core (H2) as primary radiological diagnostic drivers; excluding H1 caused the most severe performance degradation (AUC decreased to 0.644, P < 0.001).

conclusionBy quantifying BME spatial heterogeneity, the multi-habitat model provides an objective imaging framework to characterize active sacroiliitis. This objective framework offers high spatial interpretability, acting as an innovative tool for quantifying BME spatial heterogeneity, which may serve as a foundation for future studies exploring its role in assessing clinical disease activity. Key Points • Multi-habitat radiomics on T2-FS MRI objectively quantifies the spatial heterogeneity of sacroiliac bone marrow edema. • The habitat-based SVM model significantly outperforms traditional whole-lesion radiomics in identifying early active sacroiliitis. • The peripheral transition zone and hyperintense core act as critical imaging drivers for axSpA diagnosis.

Indexed as

AxSpABMEHabitat analysisMachine learningMRIRheumatism

Identifiers

PMID42730964

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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 Socratic graph.