ArticleMedical physics2025
Breast Cancer: Habitat imaging based on intravoxel incoherent motion for predicting pathologic complete response to neoadjuvant chemotherapy.
Article in Medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- MRI-based radiomics with SHAP interpretation for preoperative prediction of upstaging in ductal carcinomaTranslational cancer research · 2026Article
- Predictions of Oncotype DXBioengineering (Basel, Switzerland) · 2026Article
- Evaluate lymphovascular space invasion in endometrial cancer using diffusion-weighted imaging-based habitat imaging.Scientific reports · 2025Article
- Integrative habitat analysis and multi-instance deep learning for predictive model of PD-1/PD-L1 immunotherapy efficacy in NSCLC patients: a dual-center retrospective study.BMC medical imaging · 2025Article
- Breast Cancer: Habitat imaging based on intravoxel incoherent motion for predicting pathologic complete response to neoadjuvant chemotherapy.Medical physics · 2025Article
- Intravoxel incoherent motion-based habitat imaging for the prediction of immunohistochemistry in patients with breast cancer.Frontiers in oncology · 2025Article
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Authors and funding
9 authors.
Funding
Abstract
backgroundRadiomics research based on whole tumors is limited by the unclear biological significance of radiomics features, which therefore lack clinical interpretability. PURPOSE: We aimed to determine whether features extracted from subregions defined by habitat imaging, reflecting tumor heterogeneity, could identify breast cancer patients who will benefit from neoadjuvant chemotherapy (NAC), to optimize treatment.
methods143 women with stage II-III breast cancer were divided into a training set (100 patients, 36 with pathologic complete response [pCR]) and a test set (43 patients, 16 with pCR). Patients underwent 3-T magnetic resonance imaging (MRI) before NAC. With the pathological results as the gold standard, we used the training set to build models for predicting pCR based on whole-tumor radiomics (Model
resultsIn the prediction of pCR, Model
conclusionThe habitat model we established from first-order features combined with conventional MRI features and IHC findings accurately predicted pCR before NAC. This model can facilitate decision-making during individualized treatment for breast cancer.
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