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Editorial for “Quantitative Apparent Diffusion Coefficients from Peritumoral Regions as Early Predictors of Response to Neoadjuvant Systemic Therapy in Triple‐Negative Breast Cancer”

J. Geitung

Journal of Magnetic Resonance Imaging, 2022

1 citation

Abstract

Editorial for “Quantitative Apparent Diffusion Coefficients from Peritumoral Regions as Early Predictors of Response to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer” The article by Musall et al concerns two related concepts: breast cancer (specifically triple-negative breast cancer [TNBC]), and quantitative imaging biomarkers (specifically quantitative apparent diffusion coefficent (ADC)). TBNC accounts for 10%–15% of all breast cancers and have more aggressive biological behavior than other breast cancers. Additionally, TBNC cancers do not respond to hormone therapy. Hence, these patients are difficult to treat, creating the need for biomarkers, especially individualized biomarkers. Given both the number of breast cancers and the severity of TBNC, this study deals with an important question. The purpose of this study was to determine if quantitative ADC features from the peritumoral regions could indicate the responsiveness to neoadjuvant systemic therapy. However, the number of subjects was low raising some questions about how definite the conclusions should be. Nevertheless, this study indicates that ADC features were able to predict complete response to neoadjuvant systemic therapy in TNBC “peritumoral regions with and without fat-dominant voxels showed similar performance for predicting response.” Similar articles present diffusion weighted images and ADC values as a biomarker. However, what is a biomarker? federal drug administration (FDA) defines…

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