Crombé Amandine, Matcuk George R, Fadli David, Sambri Andrea, Patel Dakshesh B, Paioli Anna, Kind Michele, Spinnato Paolo
Department of Diagnostic and Interventional Oncological Imaging, Institut Bergonié, Regional Comprehensive Cancer of Nouvelle-Aquitaine, 229, cours de l'Argonne, F-33076, Bordeaux, France; Department of musculoskeletal imaging, Pellegrin University Hospital, 2, place Amélie Raba-Léon, F-33000, Bordeaux, France; Models in Oncology (MONC) Team, INRIA Bordeaux Sud-Ouest, CNRS UMR 5251, Institut de Mathématiques de Bordeaux & Bordeaux University, 351 cours de la libération, F-33400 Talence, France.
Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, California.
Acad Radiol. 2023 Feb;30(2):322-340. doi: 10.1016/j.acra.2022.04.003. Epub 2022 May 6.
Although imaging is central in the initial staging of patients with soft tissue sarcomas (STS), it remains underused and few radiological features are currently used in practice for prognostication and to help guide the best therapeutic strategy. Yet, several prognostic qualitative and quantitative characteristics from magnetic resonance imaging (MRI) and positron emission tomography (PET) have been identified over these last decades.
After an overview of the current validated prognostic features based on baseline imaging and their integration into prognostic tools, such as nomograms used by clinicians, the aim of this review is to summarize more complex and innovative MRI, PET, and radiomics features, and to highlight their role to predict indirectly (through histologic grade) or directly the patients' outcomes.
尽管影像学在软组织肉瘤(STS)患者的初始分期中至关重要,但它的应用仍未得到充分利用,目前在实践中用于预后评估和指导最佳治疗策略的放射学特征很少。然而,在过去几十年中,已经从磁共振成像(MRI)和正电子发射断层扫描(PET)中识别出了几种预后定性和定量特征。
在概述基于基线成像的当前已验证的预后特征及其纳入预后工具(如临床医生使用的列线图)之后,本综述的目的是总结更复杂和创新的MRI、PET和放射组学特征,并强调它们在间接预测(通过组织学分级)或直接预测患者预后方面的作用。