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Application progress of MRI based artificial intelligence in rectal cancer
ZHU Yu  OUYANG Zhiqiang  SHAN Haiyan  YANG Lu  CHU Jixiang  LIAO Chengde  KE Tengfei  YANG Jun 

ZHU Y, OUYANG Z Q, SHAN H Y, et al. Application progress of MRI based artificial intelligence in rectal cancer[J]. Chin J Magn Reson Imaging, 2023, 14(9): 176-180. DOI:10.12015/issn.1674-8034.2023.09.032.

[Abstract] High resolution MRI of rectum is the preferred imaging method for evaluating rectal cancer (RC) because of its high soft tissue resolution and its ability to clearly display the rectal wall, mesocenteric fascia, peritoneal reflow and invasion of adjacent organs. However, the semantic features of conventional MRI are still insufficient to assist clinicians in making diagnosis and treatment decisions. Therefore, in the treatment and follow-up process of RC patients, new non-invasive imaging markers are needed to quantitatively describe tumor characteristics, guide clinical development of treatment strategies, and realize individualized diagnosis and treatment. With the development and wide application of artificial intelligence in medicine, it provides an objective reference basis for colorectal cancer evaluation based on high-resolution MRI, which can better assist clinicians to make accurate diagnosis and treatment decisions. This paper summarizes the application of AI in RC lesion segmentation, T stage evaluation, lymph node metastasis prediction, efficacy evaluation after neoadjuvant therapy, and prognosis prediction in recent years, and makes a summary and prospect, aiming to help readers better understand the application progress of MRI-based AI in RC, and provide some reference direction for future research.
[Keywords] rectal cancer;artificial intelligence;magnetic resonance imaging;machine learning

ZHU Yu1   OUYANG Zhiqiang2   SHAN Haiyan1   YANG Lu1   CHU Jixiang1   LIAO Chengde2   KE Tengfei1   YANG Jun1*  

1 Department of Radiology, Yunnan Cancer Hospital (the Third Affiliated Hospital of Kunming Medical University), Kunming 650118, China

2 Department of Radiology, Kunming Yan'an Hospital (Yan'an Hospital Affiliated to Kunming Medical University), Kunming 650051, China

Corresponding author: Yang J, E-mail:

Conflicts of interest   None.

ACKNOWLEDGMENTS National Natural Science Foundation of China (No. 82060313); Medical Leader Project of Health Commission of Yunnan Province (No. D-2018009).
Received  2023-05-01
Accepted  2023-07-21
DOI: 10.12015/issn.1674-8034.2023.09.032
ZHU Y, OUYANG Z Q, SHAN H Y, et al. Application progress of MRI based artificial intelligence in rectal cancer[J]. Chin J Magn Reson Imaging, 2023, 14(9): 176-180. DOI:10.12015/issn.1674-8034.2023.09.032.

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