Casà Calogero, Piras Antonio, D'Aviero Andrea, Preziosi Francesco, Mariani Silvia, Cusumano Davide, Romano Angela, Boskoski Ivo, Lenkowicz Jacopo, Dinapoli Nicola, Cellini Francesco, Gambacorta Maria Antonietta, Valentini Vincenzo, Mattiucci Gian Carlo, Boldrini Luca
UOC Radioterapia Oncologica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
UO Radioterapia Oncologica, Palermo, Italy.
Ther Adv Gastrointest Endosc. 2022 Mar 16;15:26317745221081596. doi: 10.1177/26317745221081596. eCollection 2022 Jan-Dec.
Pancreatic cancer (PC) is one of the most aggressive tumours, and better risk stratification among patients is required to provide tailored treatment. The meaning of radiomics and texture analysis as predictive techniques are not already systematically assessed. The aim of this study is to assess the role of radiomics in PC.
A PubMed/MEDLINE and Embase systematic review was conducted to assess the role of radiomics in PC. The search strategy was 'radiomics [All Fields] AND ("pancreas" [MeSH Terms] OR "pancreas" [All Fields] OR "pancreatic" [All Fields])' and only original articles referred to PC in humans in the English language were considered.
A total of 123 studies and 183 studies were obtained using the mentioned search strategy on PubMed and Embase, respectively. After the complete selection process, a total of 56 papers were considered eligible for the analysis of the results. Radiomics methods were applied in PC for assessment technical feasibility and reproducibility aspects analysis, risk stratification, biologic or genomic status prediction and treatment response prediction.
Radiomics seems to be a promising approach to evaluate PC from diagnosis to treatment response prediction. Further and larger studies are required to confirm the role and allowed to include radiomics parameter in a comprehensive decision support system.
胰腺癌（PC）是侵袭性最强的肿瘤之一，需要对患者进行更好的风险分层以提供个性化治疗。尚未对作为预测技术的放射组学和纹理分析的意义进行系统评估。本研究的目的是评估放射组学在胰腺癌中的作用。
进行了一项PubMed/MEDLINE和Embase系统评价，以评估放射组学在胰腺癌中的作用。检索策略为“radiomics [所有字段] AND（“胰腺”[医学主题词] OR “胰腺”[所有字段] OR “胰腺的”[所有字段]）”，仅纳入英文撰写的、涉及人类胰腺癌的原创文章。
分别使用上述检索策略在PubMed和Embase上共检索到123项研究和183项研究。经过完整的筛选过程，共56篇论文被认为符合结果分析的条件。放射组学方法应用于胰腺癌，用于评估技术可行性和再现性方面的分析、风险分层、生物学或基因组状态预测以及治疗反应预测。
放射组学似乎是一种从诊断到治疗反应预测评估胰腺癌的有前景的方法。需要进一步开展更大规模的研究，以确认其作用，并使其能够纳入综合决策支持系统中的放射组学参数。
