De Angelis Riccardo, Casale Roberto, Coquelet Nicolas, Ikhlef Samia, Mokhtari Ayoub, Simoni Paolo, Bali Maria Antonietta
Institut Jules Bordet, Anderlecht, Belgium.
Université Libre de Bruxelles, Brussels, Belgium.
Discov Oncol. 2024 Mar 5;15(1):62. doi: 10.1007/s12672-024-00908-2.
Soft tissue sarcomas (STSs) are rare malignancies. Pre-therapeutic tumour grading and assessment are crucial in making treatment decisions. Radiomics is a high-throughput method for analysing imaging data, providing quantitative information beyond expert assessment. This review highlights the role of radiomic texture analysis in STSs evaluation.
We conducted a systematic review according to the Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A comprehensive search was conducted in PubMed/MEDLINE and Scopus using the search terms: 'radiomics [All Fields] AND ("soft tissue sarcoma" [All Fields] OR "soft tissue sarcomas" [All Fields])'. Only original articles, referring to humans, were included.
A preliminary search conducted on PubMed/MEDLINE and Scopus provided 74 and 93 studies respectively. Based on the previously described criteria, 49 papers were selected, with a publication range from July 2015 to June 2023. The main domains of interest were risk stratification, histological grading prediction, technical feasibility/reproductive aspects, treatment response.
With an increasing interest over the last years, the use of radiomics appears to have potential for assessing STSs from initial diagnosis to predicting treatment response. However, additional and extensive research is necessary to validate the effectiveness of radiomics parameters and to integrate them into a comprehensive decision support system.
软组织肉瘤(STSs)是罕见的恶性肿瘤。治疗前的肿瘤分级和评估对于做出治疗决策至关重要。放射组学是一种用于分析影像数据的高通量方法,可提供超出专家评估的定量信息。本综述强调了放射组学纹理分析在软组织肉瘤评估中的作用。
我们根据系统评价和荟萃分析(PRISMA)指南进行了系统评价。在PubMed/MEDLINE和Scopus中使用检索词“radiomics [所有字段] AND(“软组织肉瘤”[所有字段] OR “软组织肉瘤”[所有字段])”进行了全面检索。仅纳入涉及人类的原创文章。
在PubMed/MEDLINE和Scopus上进行的初步检索分别提供了74项和93项研究。根据先前描述的标准,选择了49篇论文,发表时间范围为2015年7月至2023年6月。主要关注领域为风险分层、组织学分级预测、技术可行性/重复性方面、治疗反应。
在过去几年中,随着人们对放射组学的兴趣日益增加,其应用似乎在评估软组织肉瘤从初始诊断到预测治疗反应方面具有潜力。然而,需要进行更多广泛的研究来验证放射组学参数的有效性,并将其整合到一个全面的决策支持系统中。