Diffusion-Weighted MRI for the Assessment of Molecular Prognostic Biomarkers in Breast Cancer.
Mami IimaMasako KataokaMaya HondaDenis Le BihanPublished in: Korean journal of radiology (2024)
This study systematically reviewed the role of diffusion-weighted imaging (DWI) in the assessment of molecular prognostic biomarkers in breast cancer, focusing on the correlation of apparent diffusion coefficient (ADC) with hormone receptor status and prognostic biomarkers. Our meta-analysis includes data from 52 studies examining ADC values in relation to estrogen receptor (ER), progesterone receptor (PgR), human epidermal growth factor receptor 2 (HER2), and Ki-67 status. The results indicated significant differences in ADC values among different receptor statuses, with ER-positive, PgR-positive, HER2-negative, and Ki-67-positive tumors having lower ADC values compared to their negative counterparts. This study also highlights the potential of advanced DWI techniques such as intravoxel incoherent motion and non-Gaussian DWI to provide additional insights beyond ADC. Despite these promising findings, the high heterogeneity among the studies underscores the need for standardized DWI protocols to improve their clinical utility in breast cancer management.
Keyphrases
- diffusion weighted imaging
- contrast enhanced
- diffusion weighted
- estrogen receptor
- magnetic resonance imaging
- epidermal growth factor receptor
- systematic review
- magnetic resonance
- computed tomography
- case control
- endothelial cells
- randomized controlled trial
- tyrosine kinase
- radiation therapy
- neoadjuvant chemotherapy
- advanced non small cell lung cancer
- mass spectrometry
- climate change
- endoplasmic reticulum
- young adults
- lymph node
- machine learning