18F-FDG PET Radiomics as Predictor of Treatment Response in Oesophageal Cancer: A Systematic Review and Meta-Analysis.

18F - FDG PET 影像组学作为食管癌治疗反应的预测因子 ： 系统评价和荟萃分析。

• 影响指数: 5.738
• 发表时间: 2022
• 来源期刊: Front Oncol
• DOI: 10.3389/fonc.2022.861638
• PMID: 35371989
• 文章类型: Systematic Review
• 中科院分区: Q2
• 方向: 医学
• 作者列表: Deantonio L,Garo ML,Paone G,Valli MC,Cappio S,La Regina D,Cefali M,Palmarocchi MC,Vannelli A,De Dosso S,Deantonio L,Garo ML,Paone G,Valli MC,Cappio S,La Regina D,Cefali M,Palmarocchi MC,Vannelli A,De Dosso S

关键词: 18F-FDG PET; complete clinical response; neoadjuvant chemoradiotherapy; oesophageal cancer; pathological complete response; radiomics; 18F-FDG PET; complete clinical response; neoadjuvant chemoradiotherapy; oesophageal cancer; pathological complete response; radiomics

Abstract

The best treatment strategy for oesophageal cancer patients achieving a complete clinical response after neoadjuvant chemoradiation is a burning topic. The available diagnostic tools, such as 18F-FDG PET/CT performed routinely, cannot accurately evaluate the presence or absence of the residual tumour. The emerging field of radiomics may encounter the critical challenge of personalised treatment. Radiomics is based on medical image analysis, executed by extracting information from many image features; it has been shown to provide valuable information for predicting treatment responses in oesophageal cancer. This systematic review with a meta-analysis aims to provide current evidence of 18F-FDG PET-based radiomics in predicting response treatments following neoadjuvant chemoradiotherapy in oesophageal cancer. A comprehensive literature review identified 1160 studies, of which five were finally included in the study. Our findings provided that pooled Area Under the Curve (AUC) of the five selected studies was relatively high at 0.821 (95% CI: 0.737-0.904) and not influenced by the sample size of the studies. Radiomics models exhibited a good performance in predicting pathological complete responses (pCRs). This review further strengthens the great potential of 18F-FDG PET-based radiomics to predict pCRs in oesophageal cancer patients who underwent neoadjuvant chemoradiotherapy. Additionally, our review imparts additional support to prospective studies on 18F-FDG PET radiomics for a tailored treatment strategy of oesophageal cancer patients.
UNASSIGNED: https://www.crd.york.ac.uk/prospero/, identifier CRD42021274636.

摘要

食管癌患者在新辅助放化疗后获得完全临床反应的最佳治疗策略是一个棘手的话题。可用的诊断工具，例如常规进行的18F-FDGPET/CT，无法准确评估残留肿瘤的存在与否。影像组学的新兴领域可能会遇到个性化治疗的关键挑战。影像组学是基于医学图像分析，通过从许多图像特征中提取信息来执行；它已被证明为预测食管癌的治疗反应提供了有价值的信息。这项具有荟萃分析的系统评价旨在提供基于18F-FDGPET的影像组学在预测食管癌新辅助放化疗后的反应性治疗方面的最新证据。一项全面的文献综述确定了1160项研究，其中五个最终被纳入研究。我们的发现表明，五项选定研究的合并曲线下面积（AUC）相对较高，为0.821（95％CI：0.737-0.904），并且不受研究样本量的影响。影像组学模型在预测病理完全反应（pCRs）方面表现出良好的性能。这篇综述进一步加强了基于18F-FDGPET的影像组学在预测接受新辅助放化疗的食管癌患者的pCRs方面的巨大潜力。此外,我们的综述为针对食管癌患者量身定制治疗策略的18F-FDGPET影像组学前瞻性研究提供了更多支持.
UNASSIGNED：https://www。crd.约克。AC.英国/普华永道/，标识符CRD42021274636。