Balma Michele, Laudicella Riccardo, Gallio Elena, Gusella Sara, Lorenzon Leda, Peano Simona, Costa Renato P, Rampado Osvaldo, Farsad Mohsen, Evangelista Laura, Deandreis Desiree, Papaleo Alberto, Liberini Virginia
Nuclear Medicine Department, S. Croce e Carle Hospital, 12100 Cuneo, Italy.
Unit of Nuclear Medicine, Biomedical Department of Internal and Specialist Medicine, University of Palermo, 90133 Palermo, Italy.
Life (Basel). 2023 Jul 28;13(8):1647. doi: 10.3390/life13081647.
Nuclear medicine has acquired a crucial role in the management of patients with neuroendocrine neoplasms (NENs) by improving the accuracy of diagnosis and staging as well as their risk stratification and personalized therapies, including radioligand therapies (RLT). Artificial intelligence (AI) and radiomics can enable physicians to further improve the overall efficiency and accuracy of the use of these tools in both diagnostic and therapeutic settings by improving the prediction of the tumor grade, differential diagnosis from other malignancies, assessment of tumor behavior and aggressiveness, and prediction of treatment response. This systematic review aims to describe the state-of-the-art AI and radiomics applications in the molecular imaging of NENs.
核医学在神经内分泌肿瘤（NENs）患者的管理中发挥了关键作用，它提高了诊断、分期的准确性以及风险分层和个性化治疗水平，包括放射性配体疗法（RLT）。人工智能（AI）和放射组学能够使医生在诊断和治疗环境中进一步提高这些工具使用的整体效率和准确性，方法是改善肿瘤分级预测、与其他恶性肿瘤的鉴别诊断、肿瘤行为和侵袭性评估以及治疗反应预测。本系统综述旨在描述NENs分子成像中AI和放射组学的最新应用。
