Department of Advanced Biomedical Sciences, University of Naples Federico II, Via S. Pansini 5, Naples 80138, Italy.
Department of Radiology, New York University School of Medicine, 160 East 34th Street, New York, NY 10016, USA.
PET Clin. 2023 Oct;18(4):567-575. doi: 10.1016/j.cpet.2023.05.002. Epub 2023 Jun 17.
New challenges are currently faced by clinical and surgical oncologists in the management of patients with breast cancer, mainly related to the need for molecular and prognostic data. Recent technological advances in diagnostic imaging and informatics have led to the introduction of functional imaging modalities, such as hybrid PET/MR imaging, and artificial intelligence (AI) software, aimed at the extraction of quantitative radiomics data, which may reflect tumor biology and behavior. In this article, the most recent applications of radiomics and AI to PET/MR imaging are described to address the new needs of clinical and surgical oncology.
目前，临床肿瘤学家和外科肿瘤学家在乳腺癌患者的管理方面面临着新的挑战，主要与分子和预后数据的需求有关。诊断成像和信息学的最新技术进步导致了功能成像方式的引入，如混合 PET/MR 成像和人工智能 (AI) 软件，旨在提取定量放射组学数据，这些数据可能反映肿瘤的生物学和行为。本文描述了放射组学和 AI 在 PET/MR 成像中的最新应用，以满足临床肿瘤学和外科肿瘤学的新需求。
