Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
| 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
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| Source Publication | FRONTIERS IN ONCOLOGY
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| ISSN | 2234-943X |
| 2020-05-11 | |
| Volume | 10Pages:13 |
| Corresponding Author | Feng, Yanqiu(foree@163.com) ; Cao, Wuteng(caowteng@163.com) ; Tian, Jie(jie.tian@ia.ac.cn) |
| Abstract | 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. |
| Keyword | lymph node metastasis prediction neoadjuvant therapy locally advanced rectal cancer radiomics |
| DOI | 10.3389/fonc.2020.00604 |
| WOS Keyword | TOTAL MESORECTAL EXCISION ; RADIATION-THERAPY ; COMPLETE RESPONSE ; CHEMORADIOTHERAPY ; CHEMORADIATION ; CHEMOTHERAPY ; RADIOTHERAPY ; MULTICENTER ; FLUOROURACIL ; RESECTION |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | 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] |
| Funding Organization | 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 Research Area | Oncology |
| WOS Subject | Oncology |
| WOS ID | WOS:000537209300001 |
| Publisher | FRONTIERS MEDIA SA |
| Sub direction classification | 医学影像处理与分析 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/39515 |
| Collection | 中国科学院分子影像重点实验室 |
| Corresponding Author | Feng, Yanqiu; Cao, Wuteng; Tian, Jie |
| Affiliation | 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 |
| First Author Affilication | Institute of Automation, Chinese Academy of Sciences |
| Corresponding Author Affilication | Institute 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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