Prediction of genetic profile of breast carcinoma on MRI using a combination of DCE‐MRI, DWI, and MR spectroscopy: A prospective observational study

• DOI: 10.1002/msp2.45
• Publication Date: 2024-11-12T11:49:48Z
• Authors: Payal Sharma; Ishan Kumar; Ritu Ojha; Seema Khanna; Ashish Verma
• Keywords: Breast carcinoma; Breast MRI

Abstract Background Classification of breast cancer based on gene expression has emerged as the standard approach in its management, owing to distinct prognoses and treatment responses observed among different subtypes. The aim this study was prospectively assess imaging features molecular subtypes using multiparametric magnetic resonance (mMRI) with combined assessment dynamic contrast‐enhanced (DCE‐MRI), diffusion‐weighted (DWI), MR spectroscopy (MRS). Methods This a prospective observational single‐center cohort study, which included women BI‐RADS 4−5 lesions mammography/ultrasound (US) who subsequently underwent 1.5 T MRI (encompassing DCE‐MRI, DWI, MRS). histological were assessed. Estrogen receptor (ER), progesterone (PR), Ki‐67 status, human epidermal growth receptor‐2 (HER2) expression, assessed by immunohistochemistry (IHC), defined four subtypes: luminal A, B, HER2‐enriched (Her2en), triple‐negative carcinoma (TNBC). Statistical associations between investigated. Results Fifty patients study. Circumscribed margins significantly correlated tumors compared others (78% versus 6%, p < 0.001). Spiculated non‐triple negative tumors. Rim enhancement all other (71.4% 25%, = 0.035). Mean apparent diffusion coefficient (ADC) values lower for non‐luminal ( total choline (tCho) signal‐to‐noise ratio (SNR) higher A algorithm MRS can predict TNBC Her2en specificity 86.6% 100%, respectively, sensitivity 100% 85.37%, respectively. Conclusion combination mMRI accurately differentiate carcinoma.