Related Experiment Video
Updated: Aug 7, 2026
07:54
Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence
Published on: October 25, 2011
Decoding Intratumoral Heterogeneity in Breast Cancer: The Evolution From Radiomics to Topological Quantification for
Zhichao Zuo1, Yunhua Li2, Ying Zeng1
1Department of Radiology, The Central Hospital of Xiangtan (The Affiliated Hospital of Hunan University), Xiangtan, Hunan, China.
Cancer Control : Journal of the Moffitt Cancer Center
|August 6, 2026
Summary
Accurate preoperative assessment of lymphovascular invasion (LVI) in breast cancer is crucial. Magnetic resonance imaging (MRI) advances, including radiomics and habitat imaging, improve LVI prediction and personalized treatment strategies.
Area of Science:
- Oncology
- Radiology
- Medical Imaging
Background:
- Lymphovascular invasion (LVI) is a key prognostic factor in invasive breast cancer, linked to recurrence and metastasis.
- Accurate preoperative LVI assessment is vital for treatment planning, but needle biopsy has limitations due to sampling errors and intratumoral heterogeneity.
- Magnetic resonance imaging (MRI) has advanced beyond morphology to noninvasively characterize tumor heterogeneity.
Purpose of the Study:
- To review the technological evolution of MRI-based heterogeneity assessment for preoperative LVI prediction in breast cancer.
- To explore how advanced MRI techniques can improve the accuracy of LVI detection.
- To provide a framework for risk stratification and personalized therapy in breast cancer.
Main Methods:
- This narrative review, guided by the SANRA criteria, summarizes advances in MRI techniques for LVI prediction.
- Key methods discussed include radiomics (whole-tumor, volume-of-interest, delta-radiomics), spatially resolved approaches (habitat imaging, peritumoral analysis), and topological metrics.
- Evidence from diffusion-weighted imaging, diffusion kurtosis imaging, intravoxel incoherent motion, and PET-derived metabolic heterogeneity is synthesized.
Main Results:
- Radiomics has evolved from whole-tumor analysis to optimized strategies capturing dynamic hemodynamic changes.
- Spatially resolved approaches and habitat imaging enhance prediction by analyzing distinct tumor subregions and the microenvironment.
- Newer metrics like the intratumoral heterogeneity quantification score offer topological insights into tumor fragmentation.
Conclusions:
- The progression of MRI techniques from static feature extraction to dynamic, spatially explicit quantification offers a robust framework for preoperative risk stratification in breast cancer.
- These advanced MRI methods hold significant promise for developing personalized therapeutic strategies.
- Improved preoperative LVI assessment using MRI can lead to more tailored and effective breast cancer treatment plans.
