Evidence map›Paper›PMID 42861064›Full record

ArticleQuantitative imaging in medicine and surgery2026

Multi-b-value diffusion-weighted imaging-based habitat imaging for preoperative prediction of histological grade and prognosis in soft tissue sarcoma: focusing on intratumoral heterogeneity.

Chunlian Chen, Jie Zhou, Zesheng Zhang, Kai Zhang, Xu Wang, Lei Shi, Yuxin Pan, Kexin Zhang, Huimin Ye, Zi-Ang Pan and 3 more

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Article in Quantitative imaging in medicine and 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.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Chunlian ChenDepartment of Radiology, The Second Hospital of Dalian Medical University, Dalian, China.
Jie ZhouSarcoma Center, The Second Hospital of Dalian Medical University, Dalian, China.
Zesheng ZhangDepartment of Radiology, The First Hospital, Jinzhou Medical University, Jinzhou, China.
Kai ZhangDepartment of Radiology, The Second Hospital of Dalian Medical University, Dalian, China.
Xu WangDepartment of Radiology, The Second Hospital of Dalian Medical University, Dalian, China.
Lei ShiDepartment of Radiology, The Second Hospital of Dalian Medical University, Dalian, China.
Yuxin PanDepartment of Radiology, The Second Hospital of Dalian Medical University, Dalian, China.
Kexin ZhangDepartment of Radiology, The Second Hospital of Dalian Medical University, Dalian, China.
Huimin YeDepartment of Radiology, The Second Hospital of Dalian Medical University, Dalian, China.
Zi-Ang PanSarcoma Center, The Second Hospital of Dalian Medical University, Dalian, China.
Yixin LiuSarcoma Center, The Second Hospital of Dalian Medical University, Dalian, China.
Wenjia WangMR Research Center China, GE HealthCare, Beijing, China.
Shaowu WangDepartment of Radiology, The Second Hospital of Dalian Medical University, Dalian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Marked intratumoral heterogeneity (ITH) is a critical biological characteristic of soft tissue sarcoma (STS). This study aimed to develop a novel multi-b-value diffusion-weighted imaging (DWI)-based habitat imaging approach to quantify and visualize ITH for the preoperative prediction of the histological grade and prognosis of STS. Methods: A total of 101 patients were prospectively enrolled in this study and underwent multi-b-value DWI examinations. The true diffusion coefficient (D), perfusion fraction (f), and mean kurtosis coefficient (MK) parameter maps were clustered using the K-means algorithm. The elbow method and silhouette coefficient were employed to determine the appropriate number of habitats. A modified histological grading system incorporating Ki‑67 expression was adopted to stratify the patients into low‑ and high‑grade groups. Differences in clinical features, conventional magnetic resonance imaging (MRI) features, and habitat features between the two groups were compared using the Chi‑squared test, independent‑samples t‑test, or Mann-Whitney U test, as appropriate. Predictive models were developed using univariate and multivariable logistic regression. Model performance was evaluated using receiver operating characteristic (ROC) curve analysis, and model calibration was assessed using the Hosmer-Lemeshow goodness-of-fit test. Cox proportional hazards regression and Kaplan-Meier analyses were performed to identify risk factors for overall survival (OS) and metastasis‑free survival (MFS). Results: Four habitats were identified. Several features derived from Habitats 1 and 3 differed significantly between the low- and high-grade groups (P Conclusions: Multi-b

Indexed as

habitat imaginghistological gradeintratumoral heterogeneity (ITH)prognosisSoft tissue sarcoma (STS)

Identifiers

PMID42861064
PMCPMC13654117

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