Breast dynamic contrast-enhanced-magnetic resonance imaging and radiomics: State of art

Roberto Cannella, Tommaso Vincenzo Bartolotta, Alessia Angela Maria Orlando, Mariangela Dimarco

Risultato della ricerca: Articlepeer review

Abstract

Breast cancer represents the most common malignancy in women, being one of the most frequent cause of cancer-related mortality. Ultrasound, mammography, and magnetic resonance imaging (MRI) play a pivotal role in the diagnosis of breast lesions, with different levels of accuracy. Particularly, dynamic contrast-enhanced MRI has shown high diagnostic value in detecting multifocal, multicentric, or contralateral breast cancers. Radiomics is emerging as a promising tool for quantitative tumor evaluation, allowing the extraction of additional quantitative data from radiological imaging acquired with different modalities. Radiomics analysis may provide novel information through the quantification of lesions heterogeneity, that may be relevant in clinical practice for the characterization of breast lesions, prediction of tumor response to systemic therapies and evaluation of prognosis in patients with breast cancers. Several published studies have explored the value of radiomics with good-to-excellent diagnostic and prognostic performances for the evaluation of breast lesions. Particularly, the integrations of radiomics data with other clinical and histopathological parameters have demonstrated to improve the prediction of tumor aggressiveness with high accuracy and provided precise models that will help to guide clinical decisions and patients management. The purpose of this article in to describe the current application of radiomics in breast dynamic contrast-enhanced MRI.
Lingua originaleEnglish
pagine (da-a)6-18
Numero di pagine13
RivistaARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING
Volume1
Stato di pubblicazionePublished - 2020

Fingerprint

Entra nei temi di ricerca di 'Breast dynamic contrast-enhanced-magnetic resonance imaging and radiomics: State of art'. Insieme formano una fingerprint unica.

Cita questo