Evidence map›Paper›PMID 41484857›Full record

ArticleBMC medical imaging2026

Integrating time-dependent diffusion MRI and intravoxel incoherent motion for predicting NPI and molecular subtypes in breast cancer.

Litong He, Zhiqiang Liu, Lingqiao Yang, Yanjin Qin, Zhendong Luo, Yunfei Zhang, Xiaopeng Song, Wei Mao, Dan Wu, Tao Ai

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Article in BMC medical imaging, 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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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

10 authors.

Litong He *Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, NO. 1095 Jiefang Avenue, Qiaokou District, Wuhan, 430030, China.
Zhiqiang Liu *Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, NO. 1095 Jiefang Avenue, Qiaokou District, Wuhan, 430030, China.
Lingqiao YangDepartment of Radiology, Shenzhen Bao'an District Songgang People's Hospital, Shenzhen, China.
Yanjin QinDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Zhendong LuoDepartment of Radiology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Yunfei ZhangMR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China.
Xiaopeng SongUnited Imaging Healthcare Advanced Technology Research Institute, Shanghai, China.
Wei MaoUnited Imaging Healthcare Advanced Technology Research Institute, Shanghai, China.
Dan WuDepartment of Biomedical Engineering, Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University College of Biomedical Engineering and Instrument Science, Hangzhou, China.
Tao AiDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, NO. 1095 Jiefang Avenue, Qiaokou District, Wuhan, 430030, China. aitao007@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the potential of combining time-dependent diffusion MRI (td-dMRI) with intravoxel incoherent motion (IVIM) to predict the Nottingham Prognostic Index (NPI) and molecular subtypes of breast cancer.

methodsA total of 103 breast cancer patients who underwent td-DWI sequences were included. Quantitative diffusion parameters from td-dMRI (ADC0Hz, ADC25Hz, ADC50Hz, Diameter, fin, Dex, and Cellularity) and IVIM model (D, D*, f) were measured and compared using the Mann-Whitney U-test in NPI grades and molecular subtypes. Binary logistic regression analysis was conducted to combine parameters, and the discriminative power of individual and combined models was assessed using Receiver Operating Characteristic curves with Area Under the Curve.

resultsThe high-grade NPI group exhibited significantly higher D* and lower ADC50Hz, f and Dex values compared to the low-grade group (p < 0.05). The combined model achieved the highest AUC (0.863). The luminal subtype showed increased fin and Cellularity, along with decreased ADC0Hz and ADC25Hz values compared to non-Luminal subtypes (p < 0.05). The D and fin values were significantly different between HER2-enriched subtype and other subtypes (p < 0.05). The ADC0Hz, ADC25Hz, Diameter and Cellularity values differed significantly between triple-negative subtype and other subtypes (p < 0.05).

conclusionThe integration of td-dMRI and IVIM parameters offers a promising noninvasive strategy for preoperative differentiation of NPI grades and molecular subtypes in breast cancer. CRITICAL RELEVANCE STATEMENT: The combination of td-dMRI and IVIM parameters may enhance the precision of prognostic estimation and the formulation of personalized treatment strategies in clinical practice.

Indexed as

Breast NeoplasmsDiffusion Magnetic Resonance ImagingAdultAgedFemaleHumansImage Interpretation, Computer-AssistedMiddle AgedMotionNeoplasm GradingPrognosisBreast cancerIntravoxel incoherent motionMagnetic resonance imagingNottingham prognostic indexTime-dependent diffusion

Identifiers

PMID41484857
PMCPMC12866526

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