Can Radiomics Predict Pathologic Complete Response After Neoadjuvant Chemoradiotherapy for Rectal Cancer? A Systematic Review and Meta-Analysis of Diagnostic-Accuracy Studies.

IF 3 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Fotios Seretis, Antonia Panagaki, Stavroula Tzamouri, Tania Triantafyllou, Charikleia Triantopoulou, Dimitrios Theodorou
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引用次数: 0

Abstract

Background: The rectal cancer treatment paradigm is rapidly changing with the advent of total neoadjuvant therapy and non-operative management approaches in responders. A good clinical response to neoadjuvant treatment documented by magnetic resonance imaging, endoscopy and clinical examination corresponds, to a large extent, to a pathologic complete response, as assessed in surgical specimens. Methods: We undertook a systematic review and meta-analysis on the MRI-based omics approach to predicting pathologic complete responses. Results: A total of 29 studies with relevant data available reporting on a total of 4486 patients were eligible for meta-analysis. The calculated values for the area under the curve in receiver operator curves of diagnostic accuracy for radiomics-only and radiomics-combined-with-clinical-data models were 0.80 and 0.88, respectively, for studies incorporating baseline imaging data only. The value for studies using delta radiomic data was 0.86, and those for studies using data from the post-neoadjuvant setting were 0.75 and 0.83, respectively, for the radiomics-only and radiomics-combined-with-clinical-data models. Conclusions: Radiomics-based prediction models for pathologic complete response assessment might further enable individualized treatment decisions to be made in patients with rectal cancer.

放射组学能否预测直肠癌新辅助放化疗后的病理完全缓解?诊断准确性研究的系统回顾和荟萃分析。
背景:随着全新辅助治疗和非手术治疗的出现,直肠癌的治疗模式正在迅速改变。通过磁共振成像、内窥镜检查和临床检查,对新辅助治疗的良好临床反应在很大程度上与手术标本中评估的病理完全缓解相对应。方法:我们对基于mri的组学预测病理完全缓解的方法进行了系统回顾和荟萃分析。结果:共有29项具有相关数据的研究报告了4486例患者,符合meta分析的条件。仅放射组学和放射组学结合临床数据模型的诊断准确性的接受者操作曲线曲线下面积的计算值分别为0.80和0.88,仅纳入基线成像数据的研究。使用δ放射组学数据的研究的值为0.86,使用放射组学单独和放射组学与临床数据结合模型的新辅助后数据的研究的值分别为0.75和0.83。结论:基于放射组学的病理完全缓解评估预测模型可能进一步使直肠癌患者做出个性化的治疗决策。
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来源期刊
Journal of Personalized Medicine
Journal of Personalized Medicine Medicine-Medicine (miscellaneous)
CiteScore
4.10
自引率
0.00%
发文量
1878
审稿时长
11 weeks
期刊介绍: Journal of Personalized Medicine (JPM; ISSN 2075-4426) is an international, open access journal aimed at bringing all aspects of personalized medicine to one platform. JPM publishes cutting edge, innovative preclinical and translational scientific research and technologies related to personalized medicine (e.g., pharmacogenomics/proteomics, systems biology). JPM recognizes that personalized medicine—the assessment of genetic, environmental and host factors that cause variability of individuals—is a challenging, transdisciplinary topic that requires discussions from a range of experts. For a comprehensive perspective of personalized medicine, JPM aims to integrate expertise from the molecular and translational sciences, therapeutics and diagnostics, as well as discussions of regulatory, social, ethical and policy aspects. We provide a forum to bring together academic and clinical researchers, biotechnology, diagnostic and pharmaceutical companies, health professionals, regulatory and ethical experts, and government and regulatory authorities.
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