Coppola Francesca, Giannini Valentina, Gabelloni Michela, Panic Jovana, Defeudis Arianna, Lo Monaco Silvia, Cattabriga Arrigo, Cocozza Maria Adriana, Pastore Luigi Vincenzo, Polici Michela, Caruso Damiano, Laghi Andrea, Regge Daniele, Neri Emanuele, Golfieri Rita, Faggioni Lorenzo
Department of Radiology, IRCCS Azienda Ospedaliero Universitaria di Bologna, 40138 Bologna, Italy.
Department of Surgical Sciences, University of Turin, 10124 Turin, Italy.
Diagnostics (Basel). 2021 Apr 23;11(5):756. doi: 10.3390/diagnostics11050756.
While cross-sectional imaging has seen continuous progress and plays an undiscussed pivotal role in the diagnostic management and treatment planning of patients with rectal cancer, a largely unmet need remains for improved staging accuracy, assessment of treatment response and prediction of individual patient outcome. Moreover, the increasing availability of target therapies has called for developing reliable diagnostic tools for identifying potential responders and optimizing overall treatment strategy on a personalized basis. Radiomics has emerged as a promising, still fully evolving research topic, which could harness the power of modern computer technology to generate quantitative information from imaging datasets based on advanced data-driven biomathematical models, potentially providing an added value to conventional imaging for improved patient management. The present study aimed to illustrate the contribution that current radiomics methods applied to magnetic resonance imaging can offer to managing patients with rectal cancer.
虽然横断面成像技术不断进步，在直肠癌患者的诊断管理和治疗规划中发挥着毋庸置疑的关键作用，但在提高分期准确性、评估治疗反应以及预测个体患者预后方面，仍存在很大未被满足的需求。此外，靶向治疗的日益普及要求开发可靠的诊断工具，以识别潜在的反应者并在个性化基础上优化整体治疗策略。放射组学已成为一个有前景且仍在不断发展的研究课题，它可以利用现代计算机技术的力量，基于先进的数据驱动生物数学模型从成像数据集中生成定量信息，有可能为传统成像提供附加值，以改善患者管理。本研究旨在阐明应用于磁共振成像的当前放射组学方法对直肠癌患者管理的贡献。
