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Radiomics-Based Preoperative Prediction of Lymph Node Status Following Neoadjuvant Therapy in Locally Advanced Rectal Cancer
Zhou, Xuezhi1,2; Yi, Yongju3,4; Liu, Zhenyu2,5; Zhou, Zhiyang6; Lai, Bingjia7; Sun, Kai1; Li, Longfei8; Huang, Liyu1; Feng, Yanqiu3; Cao, Wuteng6; Tian, Jie1,2,5,9
Source PublicationFRONTIERS IN ONCOLOGY
ISSN2234-943X
2020-05-11
Volume10Pages:13
Corresponding AuthorFeng, Yanqiu(foree@163.com) ; Cao, Wuteng(caowteng@163.com) ; Tian, Jie(jie.tian@ia.ac.cn)
AbstractBackground 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.
Keywordlymph node metastasis prediction neoadjuvant therapy locally advanced rectal cancer radiomics
DOI10.3389/fonc.2020.00604
WOS KeywordTOTAL MESORECTAL EXCISION ; RADIATION-THERAPY ; COMPLETE RESPONSE ; CHEMORADIOTHERAPY ; CHEMORADIATION ; CHEMOTHERAPY ; RADIOTHERAPY ; MULTICENTER ; FLUOROURACIL ; RESECTION
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational 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 Research AreaOncology
WOS SubjectOncology
WOS IDWOS:000537209300001
PublisherFRONTIERS MEDIA SA
Citation statistics
Cited Times:13[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/39515
Collection中国科学院分子影像重点实验室
Corresponding AuthorFeng, Yanqiu; Cao, Wuteng; Tian, Jie
Affiliation1.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
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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.
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