Evidence map›Paper›PMID 41189947›Full record

ArticleFrontiers in oncology2025

A multifunctional MRI model based on IVIM and DKI predicts HIF-1α, Ki-67, and VEGF status in breast carcinoma.

Zhengtong Wang, Fan Zhao, Laimin Zhu, Ning Mao, Weiwei Wang, Wenwen Zhao, Hao Yu, Yunxi Li, Chongchong Li, Xiuzheng Yue and 2 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. 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

12 authors.

Zhengtong Wang *Department of Medical Imaging, Affiliated Hospital of Jining Medical University, Jining, China.
Fan Zhao *Department of Breast Surgery, Affiliated Hospital of Jining Medical University, Jining, China.
Laimin ZhuDepartment of Medical Imaging, Affiliated Hospital of Jining Medical University, Jining, China.
Ning MaoDepartment of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China.
Weiwei WangDepartment of Medical Imaging, Affiliated Hospital of Jining Medical University, Jining, China.
Wenwen ZhaoDepartment of Cardiology, Affiliated Hospital of Jining Medical University, Jining, China.
Hao YuDepartment of Medical Imaging, Affiliated Hospital of Jining Medical University, Jining, China.
Yunxi LiDepartment of Medical Imaging, Affiliated Hospital of Jining Medical University, Jining, China.
Chongchong LiDepartment of Medical Imaging, Affiliated Hospital of Jining Medical University, Jining, China.
Xiuzheng YuePhilips Healthcare, Beijing, China.
Yueqin ChenDepartment of Medical Imaging, Affiliated Hospital of Jining Medical University, Jining, China.
Zhanguo SunDepartment of Medical Imaging, Affiliated Hospital of Jining Medical University, Jining, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The research aims to explore the predictive significance of diffusion-weighted imaging (DWI), diffusion kurtosis imaging (DKI), intravoxel incoherent motion (IVIM), and their integrated models in relation to Hypoxia-inducible factor-1 alpha (HIF-1α), Ki-67, and vascular endothelial growth factor (VEGF) expression levels in breast carcinoma. Materials and Methods: This retrospective study included 104 patients with pathologically confirmed breast carcinoma from our institution as the training set, while an external validation cohort of 91 eligible patients was recruited from another tertiary medical center. Two independently working radiologists analyzed IVIM-derived parameters apparent diffusion coefficient (ADC), true diffusion coefficient (D), perfusion-related diffusion coefficient (D*), and perfusion fraction (f), and DKI-derived parameters mean diffusivity (MD) and mean kurtosis (MK). Receiver operating characteristic (ROC) curves were constructed for evaluation of diagnostic efficacy. The outcomes of the multivariate logistic regression model were employed to create a nomogram of the combined model for molecular marker status prediction. Results: High expression levels of HIF-1α, VEGF, and Ki-67 were consistently associated with lower D, MD, and ADC values, and higher perfusion-related D*, f, and MK values (all P<0.05). ROC curve analysis showed that among the individual parameters, the D value exhibited the highest predictive efficacy (Area Under the Curve, AUC = 0.724). A D value ≤ 0.88×10 Conclusion: Our findings suggest that IVIM may be usefully combined with DKI to help predict the expression levels of Ki-67, HIF-1α, and VEGF in breast cancer, generating hypotheses for future research. Furthermore, the diagnostic efficiency of the parameters D* and f appears to be enhanced by employing more low b-values (<100-200 s/mm²). These results require confirmation in prospective, multi-center studies.

Indexed as

apparent diffusion coefficient (ADC)diffusion kurtosis imaging (DKI)diffusion-weighted imaging (DWI)hypoxia-inducible factor-1 alpha (HIF-1α)intravoxel incoherent motion (IVIM)Ki-67true diffusion coefficient (D)vascular endothelial growth factor (VEGF)

Identifiers

PMID41189947
PMCPMC12580154

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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.