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本文引用的文献

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Advanced analytics and artificial intelligence in gastrointestinal cancer: a systematic review of radiomics predicting response to treatment.胃肠道癌中的高级分析与人工智能：关于预测治疗反应的影像组学的系统综述
Eur J Nucl Med Mol Imaging. 2021 Jun;48(6):1785-1794. doi: 10.1007/s00259-020-05142-w. Epub 2020 Dec 16.
2
MRI Radiomics for Prediction of Tumor Response and Downstaging in Rectal Cancer Patients after Preoperative Chemoradiation.磁共振成像放射组学用于预测直肠癌患者术前放化疗后的肿瘤反应和降期情况。
Adv Radiat Oncol. 2020 May 11;5(6):1286-1295. doi: 10.1016/j.adro.2020.04.016. eCollection 2020 Nov-Dec.
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Combining Radiomics and Blood Test Biomarkers to Predict the Response of Locally Advanced Rectal Cancer to Chemoradiation.联合放射组学和血液测试生物标志物预测局部晚期直肠癌对放化疗的反应。
In Vivo. 2020 Sep-Oct;34(5):2955-2965. doi: 10.21873/invivo.12126.
4
MRI prediction of pathological response in locally advanced rectal cancer: when apparent diffusion coefficient radiomics meets conventional volumetry.MRI 预测局部晚期直肠癌的病理反应：表观扩散系数放射组学与传统容积测量法相遇。
Clin Radiol. 2020 Oct;75(10):798.e1-798.e11. doi: 10.1016/j.crad.2020.06.023. Epub 2020 Jul 22.
5
Pre-Treatment T2-WI Based Radiomics Features for Prediction of Locally Advanced Rectal Cancer Non-Response to Neoadjuvant Chemoradiotherapy: A Preliminary Study.基于治疗前T2加权成像的影像组学特征预测局部晚期直肠癌对新辅助放化疗无反应的初步研究
Cancers (Basel). 2020 Jul 14;12(7):1894. doi: 10.3390/cancers12071894.
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NCCN Guidelines Insights: Rectal Cancer, Version 6.2020.NCCN 指南解读：直肠癌，第 6 版，2020 年。
J Natl Compr Canc Netw. 2020 Jul;18(7):806-815. doi: 10.6004/jnccn.2020.0032.
7
Radiomics of MRI for pretreatment prediction of pathologic complete response, tumor regression grade, and neoadjuvant rectal score in patients with locally advanced rectal cancer undergoing neoadjuvant chemoradiation: an international multicenter study.MRI 放射组学预测局部晚期直肠癌新辅助放化疗后病理完全缓解、肿瘤退缩分级和新辅助直肠评分的价值：一项国际多中心研究。
Eur Radiol. 2020 Nov;30(11):6263-6273. doi: 10.1007/s00330-020-06968-6. Epub 2020 Jul 14.
8
Multi-modal radiomics model to predict treatment response to neoadjuvant chemotherapy for locally advanced rectal cancer.多模态放射组学模型预测局部晚期直肠癌新辅助化疗的治疗反应。
World J Gastroenterol. 2020 May 21;26(19):2388-2402. doi: 10.3748/wjg.v26.i19.2388.
9
Clinical utility of radiomics at baseline rectal MRI to predict complete response of rectal cancer after chemoradiation therapy.基线直肠MRI影像组学预测直肠癌放化疗后完全缓解的临床效用
Abdom Radiol (NY). 2020 Nov;45(11):3608-3617. doi: 10.1007/s00261-020-02502-w.
10
Delta-radiomics increases multicentre reproducibility: a phantom study.Delta 放射组学提高了多中心的可重复性：一项体模研究。
Med Oncol. 2020 Mar 31;37(5):38. doi: 10.1007/s12032-020-01359-9.

直肠 MRI 影像组学预测病理完全缓解：我们的现状。

Rectal MRI radiomics for predicting pathological complete response: Where we are.

机构信息

Department of Radiology, University of Sao Paulo, Sao Paulo, SP, Brazil; Department of Radiology, Diagnosticos da America SA (DASA), Sao Paulo, SP, Brazil.

Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

出版信息

Clin Imaging. 2022 Feb;82:141-149. doi: 10.1016/j.clinimag.2021.10.005. Epub 2021 Nov 16.

DOI:10.1016/j.clinimag.2021.10.005
PMID:34826772
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9119743/
Abstract

Radiomics using rectal MRI radiomics has emerged as a promising approach in predicting pathological complete response. In this study, we present a typical pipeline of a radiomics analysis and review recent studies, exploring applications, development of radiomics methodologies and model construction in pCR prediction. Finally, we will offer our opinion about the future and discuss the next steps of rectal MRI radiomics for predicting pCR.

摘要

基于直肠 MRI 的放射组学分析已成为预测病理完全缓解的一种很有前途的方法。本研究介绍了放射组学分析的典型流程，并对近期研究进行综述，探讨了在预测病理完全缓解方面的应用、放射组学方法的发展和模型构建。最后，我们将对未来提出看法，并讨论预测病理完全缓解的直肠 MRI 放射组学的下一步发展。