ORIGINAL RESEARCH article
Front. Oncol.
Sec. Breast Cancer
Volume 15 - 2025 | doi: 10.3389/fonc.2025.1595157
This article is part of the Research TopicExploring the Breast Tumor Microenvironment: Association to Metastasis, Novel Risk Factors and Novel Treatments and Immunotherapies: Volume II.View all 7 articles
Intravoxel Incoherent Motion-Based Habitat Imaging for the Prediction of Immunohistochemistry in Patients with Breast Cancer
Provisionally accepted
- 1Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China
- 2Department of Radiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, Fujian Province, China
- 3MR Research Collaboration Team, Siemens Healthineers (China), Shanghai, Shanghai Municipality, China
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Background: To explore the value of intravoxel incoherent motion (IVIM)-based habitat imaging in predicting immunohistochemistry in patients with breast cancer. Methods: 299 patients with suspected breast cancer were randomly assigned to a training set of 210 individuals and a test set of 89 individuals. A series of models was constructed for human epidermal growth factor receptor 2 (HER2)/Ki-67/hormone receptors (HR)/lymph node metastasis (LNM) prediction, including the whole-tumor model, habitat model, conventional MRI features (CF) model and hybrid model (incorporating habitats features and CF). The performance of various models was evaluated with the area under the receiver operating characteristic curve (AUC) and decision curve analysis (DCA). P (two-tailed) < 0.05 was considered statistically significant. Results: On the test cohort, for HER2/HR/LNM, the habitats model achieved the highest AUC values of 0.692/0.651/0.722, higher than those of the whole-tumor model (AUC = 0.591/0.599/0.609) and the CF model (AUC = 0.598/0.603/0.608). For Ki-67, the CF model achieved a highest AUC of 0.746. The hybrid model achieved AUC values of 0.706/0.762/0.668/0.728 for HER2/Ki67/HR/LNM. DeLong test showed a significant difference between habitats model and the whole-tumor model for LNM (P = 0.006). Conclusion: While habitat features can provide richer biological information, the models combining habitats and CF obtained more accurate results than other models, making them promising candidates for clinical application in breast cancer diagnosis.
Keywords: habitat, intravoxel incoherent motion (IVIM), breast cancer, Immunohistochemistry, Radiomics
Received: 17 Mar 2025; Accepted: 09 Jun 2025.
Copyright: © 2025 Wang, He, Zhang, Yunyan, Song, Wang, Ma and Yang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Guang Yang, Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China
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