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Multiparametric MRI and Whole Slide Image-Based Pretreatment Prediction of Pathological Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer: A Multicenter Radiopathomic Study.多参数 MRI 与全切片图像预处理预测直肠癌新辅助放化疗病理反应的多组学研究：一项多中心放射组学研究。
Ann Surg Oncol. 2020 Oct;27(11):4296-4306. doi: 10.1245/s10434-020-08659-4. Epub 2020 Jul 29.
2
Radiomics-Based Pretherapeutic Prediction of Non-response to Neoadjuvant Therapy in Locally Advanced Rectal Cancer.基于放射组学的局部晚期直肠癌新辅助治疗无反应的预测。
Ann Surg Oncol. 2019 Jun;26(6):1676-1684. doi: 10.1245/s10434-019-07300-3. Epub 2019 Mar 18.
3
The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges.放射组学在肿瘤精准诊断与治疗中的应用：机遇与挑战。
Theranostics. 2019 Feb 12;9(5):1303-1322. doi: 10.7150/thno.30309. eCollection 2019.
4
Quantitative analysis of diffusion weighted imaging to predict pathological good response to neoadjuvant chemoradiation for locally advanced rectal cancer.定量分析扩散加权成像预测局部晚期直肠癌新辅助放化疗病理良好反应。
Radiother Oncol. 2019 Mar;132:100-108. doi: 10.1016/j.radonc.2018.11.007. Epub 2018 Dec 21.
5
Radiomics Analysis for Evaluation of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer.放射组学分析评估局部晚期直肠癌新辅助放化疗的病理完全缓解。
Clin Cancer Res. 2017 Dec 1;23(23):7253-7262. doi: 10.1158/1078-0432.CCR-17-1038. Epub 2017 Sep 22.
6
Comparison of tumor regression grade systems for locally advanced rectal cancer after multimodality treatment.多模式治疗后局部晚期直肠癌肿瘤退缩分级系统的比较
J Natl Cancer Inst. 2014 Sep 22;106(10). doi: 10.1093/jnci/dju248. Print 2014 Oct.

ASO Author Reflections: Radiopathomics Strategy of Combing Multi-scale Tumor Information on Pretreatment to Predict the Pathologic Response to Neoadjuvant Therapy.

作者信息

Tian Jie, Fan Xinjuan, Xu Ruihua, Sun Ying-Shi, Yang Guanyu

机构信息

CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China.

School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.

出版信息

Ann Surg Oncol. 2020 Oct;27(11):4307-4308. doi: 10.1245/s10434-020-08700-6. Epub 2020 Jun 3.

DOI:10.1245/s10434-020-08700-6
PMID:32495287
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7497687/
Abstract
摘要