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基于影像组学的局部晚期直肠癌新辅助治疗后淋巴结状态的术前预测

Radiomics-Based Preoperative Prediction of Lymph Node Status Following Neoadjuvant Therapy in Locally Advanced Rectal Cancer.

作者信息

Zhou Xuezhi, Yi Yongju, Liu Zhenyu, Zhou Zhiyang, Lai Bingjia, Sun Kai, Li Longfei, Huang Liyu, Feng Yanqiu, Cao Wuteng, Tian Jie

机构信息

Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, China.

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

出版信息

Front Oncol. 2020 May 11;10:604. doi: 10.3389/fonc.2020.00604. eCollection 2020.

DOI:10.3389/fonc.2020.00604
PMID:32477930
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7233118/
Abstract

Lymph node status is a key factor for the recommendation of organ preservation for patients with locally advanced rectal cancer (LARC) following neoadjuvant therapy but generally confirmed post-operation. This study aimed to preoperatively predict the lymph node status following neoadjuvant therapy using multiparametric magnetic resonance imaging (MRI)-based radiomic signature. A total of 391 patients with LARC who underwent neoadjuvant therapy and TME were included, of which 261 and 130 patients were allocated to the primary cohort and the validation cohort, respectively. The tumor area, as determined by preoperative MRI, underwent radiomics analysis to build a radiomic signature related to lymph node status. Two radiologists reassessed the lymph node status on MRI. The radiomic signature and restaging results were included in a multivariate analysis to build a combined model for predicting the lymph node status. Stratified analyses were performed to test the predictive ability of the combined model in patients with post-therapeutic MRI T1-2 or T3-4 tumors, respectively. The combined model was built in the primary cohort, and predicted lymph node metastasis (LNM+) with an area under the curve of 0.818 and a negative predictive value (NPV) of 93.7% were considered in the validation cohort. Stratified analyses indicated that the combined model could predict LNM+ with a NPV of 100 and 87.8% in the post-therapeutic MRI T1-2 and T3-4 subgroups, respectively. This study reveals the potential of radiomics as a predictor of lymph node status for patients with LARC following neoadjuvant therapy, especially for those with post-therapeutic MRI T1-2 tumors.

摘要

淋巴结状态是局部晚期直肠癌(LARC)患者新辅助治疗后器官保留推荐的关键因素,但通常在术后才能确定。本研究旨在使用基于多参数磁共振成像(MRI)的放射组学特征术前预测新辅助治疗后的淋巴结状态。共纳入391例行新辅助治疗和全直肠系膜切除术(TME)的LARC患者,其中261例和130例患者分别分配至初级队列和验证队列。对术前MRI确定的肿瘤区域进行放射组学分析,以建立与淋巴结状态相关的放射组学特征。两名放射科医生对MRI上的淋巴结状态进行重新评估。将放射组学特征和重新分期结果纳入多变量分析,以建立预测淋巴结状态的联合模型。分别进行分层分析,以检验联合模型对治疗后MRI T1-2或T3-4肿瘤患者的预测能力。联合模型在初级队列中构建,在验证队列中预测淋巴结转移(LNM+)的曲线下面积为0.818,阴性预测值(NPV)为93.7%。分层分析表明,联合模型在治疗后MRI T1-2和T3-4亚组中预测LNM+的NPV分别为100%和87.8%。本研究揭示了放射组学作为新辅助治疗后LARC患者淋巴结状态预测指标的潜力,尤其是对于治疗后MRI T1-2肿瘤患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c35/7233118/041556c857c6/fonc-10-00604-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c35/7233118/a6bbee24ca3d/fonc-10-00604-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c35/7233118/1baa2121ab5d/fonc-10-00604-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c35/7233118/4589e9dbe1f5/fonc-10-00604-g0003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c35/7233118/d85d062497ff/fonc-10-00604-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c35/7233118/041556c857c6/fonc-10-00604-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c35/7233118/a6bbee24ca3d/fonc-10-00604-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c35/7233118/1baa2121ab5d/fonc-10-00604-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c35/7233118/4589e9dbe1f5/fonc-10-00604-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c35/7233118/f2b21da05bbb/fonc-10-00604-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c35/7233118/d85d062497ff/fonc-10-00604-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c35/7233118/041556c857c6/fonc-10-00604-g0006.jpg

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