Frontiers in Oncology (Jul 2024)
Prediction of lateral lymph node metastasis in rectal cancer patients based on MRI using clinical, deep transfer learning, radiomic, and fusion models
- Yi Sun,
- Yi Sun,
- Yi Sun,
- Yi Sun,
- Zhongxiang Lu,
- Hongjie Yang,
- Hongjie Yang,
- Hongjie Yang,
- Hongjie Yang,
- Peishi Jiang,
- Zhichun Zhang,
- Zhichun Zhang,
- Zhichun Zhang,
- Zhichun Zhang,
- Jiafei Liu,
- Jiafei Liu,
- Jiafei Liu,
- Jiafei Liu,
- Yuanda Zhou,
- Yuanda Zhou,
- Yuanda Zhou,
- Yuanda Zhou,
- Peng Li,
- Peng Li,
- Peng Li,
- Peng Li,
- Qingsheng Zeng,
- Qingsheng Zeng,
- Qingsheng Zeng,
- Qingsheng Zeng,
- Yu Long,
- Yu Long,
- Yu Long,
- Yu Long,
- Laiyuan Li,
- Binbin Du,
- Xipeng Zhang,
- Xipeng Zhang,
- Xipeng Zhang,
- Xipeng Zhang
Affiliations
- Yi Sun
- Nankai University, Tianjin, China
- Yi Sun
- The Institute of Translational Medicine, Tianjin Union Medical Center of Nankai University, Tianjin, China
- Yi Sun
- Department of Colorectal Surgery, Tianjin Union Medical Center, Tianjin, China
- Yi Sun
- Tianjin Institute of Coloproctology, Tianjin, China
- Zhongxiang Lu
- The First Clinical College of Medicine, Gansu University of Traditional Chinese Medicine, Lanzhou, Gansu, China
- Hongjie Yang
- Nankai University, Tianjin, China
- Hongjie Yang
- The Institute of Translational Medicine, Tianjin Union Medical Center of Nankai University, Tianjin, China
- Hongjie Yang
- Department of Colorectal Surgery, Tianjin Union Medical Center, Tianjin, China
- Hongjie Yang
- Tianjin Institute of Coloproctology, Tianjin, China
- Peishi Jiang
- Nankai University, Tianjin, China
- Zhichun Zhang
- Nankai University, Tianjin, China
- Zhichun Zhang
- The Institute of Translational Medicine, Tianjin Union Medical Center of Nankai University, Tianjin, China
- Zhichun Zhang
- Department of Colorectal Surgery, Tianjin Union Medical Center, Tianjin, China
- Zhichun Zhang
- Tianjin Institute of Coloproctology, Tianjin, China
- Jiafei Liu
- Nankai University, Tianjin, China
- Jiafei Liu
- The Institute of Translational Medicine, Tianjin Union Medical Center of Nankai University, Tianjin, China
- Jiafei Liu
- Department of Colorectal Surgery, Tianjin Union Medical Center, Tianjin, China
- Jiafei Liu
- Tianjin Institute of Coloproctology, Tianjin, China
- Yuanda Zhou
- Nankai University, Tianjin, China
- Yuanda Zhou
- The Institute of Translational Medicine, Tianjin Union Medical Center of Nankai University, Tianjin, China
- Yuanda Zhou
- Department of Colorectal Surgery, Tianjin Union Medical Center, Tianjin, China
- Yuanda Zhou
- Tianjin Institute of Coloproctology, Tianjin, China
- Peng Li
- Nankai University, Tianjin, China
- Peng Li
- The Institute of Translational Medicine, Tianjin Union Medical Center of Nankai University, Tianjin, China
- Peng Li
- Department of Colorectal Surgery, Tianjin Union Medical Center, Tianjin, China
- Peng Li
- Tianjin Institute of Coloproctology, Tianjin, China
- Qingsheng Zeng
- Nankai University, Tianjin, China
- Qingsheng Zeng
- The Institute of Translational Medicine, Tianjin Union Medical Center of Nankai University, Tianjin, China
- Qingsheng Zeng
- Department of Colorectal Surgery, Tianjin Union Medical Center, Tianjin, China
- Qingsheng Zeng
- Tianjin Institute of Coloproctology, Tianjin, China
- Yu Long
- Nankai University, Tianjin, China
- Yu Long
- The Institute of Translational Medicine, Tianjin Union Medical Center of Nankai University, Tianjin, China
- Yu Long
- Department of Colorectal Surgery, Tianjin Union Medical Center, Tianjin, China
- Yu Long
- Tianjin Institute of Coloproctology, Tianjin, China
- Laiyuan Li
- Gansu Provincial Hospital, Gansu Clinical Medical Research Center for Anorectal Diseases, Lanzhou, Gansu, China
- Binbin Du
- Gansu Provincial Hospital, Gansu Clinical Medical Research Center for Anorectal Diseases, Lanzhou, Gansu, China
- Xipeng Zhang
- Nankai University, Tianjin, China
- Xipeng Zhang
- The Institute of Translational Medicine, Tianjin Union Medical Center of Nankai University, Tianjin, China
- Xipeng Zhang
- Department of Colorectal Surgery, Tianjin Union Medical Center, Tianjin, China
- Xipeng Zhang
- Tianjin Institute of Coloproctology, Tianjin, China
- DOI
- https://doi.org/10.3389/fonc.2024.1433190
- Journal volume & issue
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Vol. 14
Abstract
IntroductionLateral lymph node (LLN) metastasis in rectal cancer significantly affects patient treatment and prognosis. This study aimed to comprehensively compare the performance of various predictive models in predicting LLN metastasis.MethodsIn this retrospective study, data from 152 rectal cancer patients who underwent lateral lymph node (LLN) dissection were collected. The cohort was divided into a training set (n=86) from Tianjin Union Medical Center (TUMC), and two testing cohorts: testing cohort (TUMC) (n=37) and testing cohort from Gansu Provincial Hospital (GSPH) (n=29). A clinical model was established using clinical data; deep transfer learning models and radiomics models were developed using MRI images of the primary tumor (PT) and largest short-axis LLN (LLLN), visible LLN (VLLN) areas, along with a fusion model that integrates features from both deep transfer learning and radiomics. The diagnostic value of these models for LLN metastasis was analyzed based on postoperative LLN pathology.ResultsModels based on LLLN image information generally outperformed those based on PT image information. Rradiomics models based on LLLN demonstrated improved robustness on external testing cohorts compared to those based on VLLN. Specifically, the radiomics model based on LLLN imaging achieved an AUC of 0.741 in the testing cohort (TUMC) and 0.713 in the testing cohort (GSPH) with the extra trees algorithm.ConclusionData from LLLN is a more reliable basis for predicting LLN metastasis in rectal cancer patients with suspicious LLN metastasis than data from PT. Among models performing adequately on the internal test set, all showed declines on the external test set, with LLLN_Rad_Models being less affected by scanning parameters and data sources.
Keywords
