Fiz Francesco, Jayakody Arachchige Visala S, Gionso Matteo, Pecorella Ilaria, Selvam Apoorva, Wheeler Dakota Russell, Sollini Martina, Viganò Luca
Department of Nuclear Medicine, IRCCS Humanitas Research Hospital, 20089 Rozzano, Italy.
Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.
Diagnostics (Basel). 2022 Mar 28;12(4):826. doi: 10.3390/diagnostics12040826.
Biliary tumors are rare diseases with major clinical unmet needs. Standard imaging modalities provide neither a conclusive diagnosis nor robust biomarkers to drive treatment planning. In several neoplasms, texture analyses non-invasively unveiled tumor characteristics and aggressiveness. The present manuscript aims to summarize the available evidence about the role of radiomics in the management of biliary tumors. A systematic review was carried out through the most relevant databases. Original, English-language articles published before May 2021 were considered. Three main outcome measures were evaluated: prediction of pathology data; prediction of survival; and differential diagnosis. Twenty-seven studies, including a total of 3605 subjects, were identified. Mass-forming intrahepatic cholangiocarcinoma (ICC) was the subject of most studies (n = 21). Radiomics reliably predicted lymph node metastases (range, AUC = 0.729−0.900, accuracy = 0.69−0.83), tumor grading (AUC = 0.680−0.890, accuracy = 0.70−0.82), and survival (C-index = 0.673−0.889). Textural features allowed for the accurate differentiation of ICC from HCC, mixed HCC-ICC, and inflammatory masses (AUC > 0.800). For all endpoints (pathology/survival/diagnosis), the predictive/prognostic models combining radiomic and clinical data outperformed the standard clinical models. Some limitations must be acknowledged: all studies are retrospective; the analyzed imaging modalities and phases are heterogeneous; the adoption of signatures/scores limits the interpretability and applicability of results. In conclusion, radiomics may play a relevant role in the management of biliary tumors, from diagnosis to treatment planning. It provides new non-invasive biomarkers, which are complementary to the standard clinical biomarkers; however, further studies are needed for their implementation in clinical practice.
胆管肿瘤是临床需求未得到充分满足的罕见疾病。标准成像方式既无法提供确定性诊断,也无法提供用于指导治疗规划的可靠生物标志物。在几种肿瘤中,纹理分析能够非侵入性地揭示肿瘤特征和侵袭性。本手稿旨在总结关于放射组学在胆管肿瘤管理中作用的现有证据。通过最相关的数据库进行了系统综述。纳入了2021年5月之前发表的英文原创文章。评估了三项主要结局指标:病理数据预测;生存预测;以及鉴别诊断。共纳入27项研究,涉及3605名受试者。大多数研究(n = 21)的研究对象是肿块型肝内胆管癌(ICC)。放射组学能够可靠地预测淋巴结转移(范围:AUC = 0.729 - 0.900,准确率 = 0.69 - 0.83)、肿瘤分级(AUC = 0.680 - 0.890,准确率 = 0.70 - 0.82)和生存(C指数 = 0.673 - 0.889)。纹理特征能够准确区分ICC与肝细胞癌(HCC)、混合型HCC-ICC以及炎性肿块(AUC > 0.800)。对于所有终点(病理/生存/诊断),结合放射组学和临床数据的预测/预后模型优于标准临床模型。必须承认一些局限性:所有研究均为回顾性研究;所分析的成像方式和阶段具有异质性;特征/评分的采用限制了结果的可解释性和适用性。总之,放射组学在胆管肿瘤从诊断到治疗规划的管理中可能发挥重要作用。它提供了新的非侵入性生物标志物,是对标准临床生物标志物的补充;然而,需要进一步研究以将其应用于临床实践。