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

doi:10.3389/fonc.2020.00604

	Radiomics-Based Preoperative Prediction of Lymph Node Status Following Neoadjuvant Therapy in Locally Advanced Rectal Cancer
	Zhou, Xuezhi 1,2; Yi, Yongju 3,4; Liu, Zhenyu2,5 ; Zhou, Zhiyang 6; Lai, Bingjia 7; Sun, Kai 1; Li, Longfei 8; Huang, Liyu 1; Feng, Yanqiu 3; Cao, Wuteng 6; Tian, Jie 1,2,5,9
发表期刊	FRONTIERS IN ONCOLOGY
ISSN	2234-943X
	2020-05-11
卷号	10 页码:13
通讯作者	Feng, Yanqiu(foree@163.com) ; Cao, Wuteng(caowteng@163.com) ; Tian, Jie(jie.tian@ia.ac.cn)
摘要	Background and Purpose: 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. Materials and Methods: 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. Results: 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. Conclusion: 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.
关键词	lymph node metastasis prediction neoadjuvant therapy locally advanced rectal cancer radiomics
DOI	10.3389/fonc.2020.00604
关键词[WOS]	TOTAL MESORECTAL EXCISION ; RADIATION-THERAPY ; COMPLETE RESPONSE ; CHEMORADIOTHERAPY ; CHEMORADIATION ; CHEMOTHERAPY ; RADIOTHERAPY ; MULTICENTER ; FLUOROURACIL ; RESECTION
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[81922040] ; National Natural Science Foundation of China[81772012] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[81527805] ; Beijing Natural Science Foundation[7182109] ; National Key Research and Development Plan of China[2016YFA0100900] ; National Key Research and Development Plan of China[2016YFA0100902] ; National Key Research and Development Plan of China[2017YFA0205200] ; Youth Innovation Promotion Association CAS[2019136] ; Chinese Academy of Sciences[GJJSTD20170004] ; Chinese Academy of Sciences[KFJ-STS-ZDTP-059] ; Chinese Academy of Sciences[YJKYYQ20180048] ; CAS[XDBS01030200] ; Key Research Projects in Frontier Science of CAS[QYZDJ-SSW-JSC005]
项目资助者	National Natural Science Foundation of China ; Beijing Natural Science Foundation ; National Key Research and Development Plan of China ; Youth Innovation Promotion Association CAS ; Chinese Academy of Sciences ; CAS ; Key Research Projects in Frontier Science of CAS
WOS研究方向	Oncology
WOS类目	Oncology
WOS记录号	WOS:000537209300001
出版者	FRONTIERS MEDIA SA
七大方向——子方向分类	医学影像处理与分析
引用统计	被引频次：31[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/39515
专题	中国科学院分子影像重点实验室
通讯作者	Feng, Yanqiu; Cao, Wuteng; Tian, Jie
作者单位	1.Xidian Univ, Engn Res Ctr Mol & Neuro Imaging, Sch Life Sci & Technol, Minist Educ, Xian, Peoples R China 2.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing, Peoples R China 3.Southern Med Univ, Sch Biomed Engn, Guangdong Prov Key Lab Med Image Proc, Guangzhou, Peoples R China 4.Sun Yat Sen Univ, Affiliated Hosp 6, Network Informat Ctr, Guangzhou, Peoples R China 5.Univ Chinese Acad Sci, Beijing, Peoples R China 6.Sun Yat Sen Univ, Affiliated Hosp 6, Dept Radiol, Guangzhou, Peoples R China 7.Sun Yat Sen Univ, Sun Yat Sen Mem Hosp, Dept Radiol, Guangzhou, Peoples R China 8.Zhengzhou Univ, Collaborat Innovat Ctr Internet Healthcare, Zhengzhou, Peoples R China 9.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Med, Beijing, Peoples R China
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Zhou, Xuezhi,Yi, Yongju,Liu, Zhenyu,et al. Radiomics-Based Preoperative Prediction of Lymph Node Status Following Neoadjuvant Therapy in Locally Advanced Rectal Cancer[J]. FRONTIERS IN ONCOLOGY,2020,10:13.
APA	Zhou, Xuezhi.,Yi, Yongju.,Liu, Zhenyu.,Zhou, Zhiyang.,Lai, Bingjia.,...&Tian, Jie.(2020).Radiomics-Based Preoperative Prediction of Lymph Node Status Following Neoadjuvant Therapy in Locally Advanced Rectal Cancer.FRONTIERS IN ONCOLOGY,10,13.
MLA	Zhou, Xuezhi,et al."Radiomics-Based Preoperative Prediction of Lymph Node Status Following Neoadjuvant Therapy in Locally Advanced Rectal Cancer".FRONTIERS IN ONCOLOGY 10(2020):13.