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Advances and applications of artificial intelligence in liver transplantation
WANG Caiqiong  YANG Bin 

WANG C Q, YANG B. Advances and Applications of Artificial Intelligence in liver transplantation[J]. Chin J Magn Reson Imaging, 2023, 14(9): 165-170. DOI:10.12015/issn.1674-8034.2023.09.030.


[Abstract] Liver transplantation (LT) is the primary treatment for end-stage liver disease, which mainly includes hepatocellular carcinoma (HCC) and end-stage cirrhosis. Radiomics and deep learning (DL), which identify subtle features invisible to the human eye from medical imaging images routinely used, which are increasingly being used to predict tumor recurrence after LT. Previous studies mainly focused on the preoperative prediction of tumor recurrence based on radiomics and DL images. It is hoped that more studies will be conducted to predict various complications after LT in the future. This paper mainly analyzes the research progress of radiomics and DL in the prognosis of LT from four aspects: ultrasound, CT, MRI and positron emission computed tomography (PET), including the similarities and differences of previous studies, the advantages and disadvantages of the four imaging methods in the evaluation of postoperative complications of LT. Finally, based on previous studies, the limitations and future development direction of radiomics and DL are summarized. The purpose of this paper is to improve readers' understanding of LT, enhance the awareness of imaging physicians and clinicians on the prevention, early diagnosis and early treatment of complications in patients after LT, helping the accurate and individualized treatment of patients after LT, improving the survival rate of patients after LT and improving the prognosis of patients.
[Keywords] liver transplantation；hepatocellular carcinoma；prognosis；magnetic resonance imaging；radiomics；deep learning

WANG Caiqiong1, 2   YANG Bin2*  

1 School of Clinical Medical, Dali University, Dali 671000, China

2 Department of Medical Imaging, the First People's Hospital of Kunming, Kunming 650051, China

Corresponding author: Yang B, E-mail: yangbinapple@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS Yunnan Province Major Special Plan (No. 202302AA310018-D-8); Yunnan Province "Yunnan Talents Support Program" Special Project for Young Talents (No. XDYC-QNRC-2022-0608); Special Project of Clinical Medical Center of Yunnan Provincial Organ Transplantation Center (No. 2021YZ-ZX-05); Kunming Health Science and Technology personnel training project "Ten hundred thousand" engineering personnel projec [No. 2022-SW (Reserve)-01]; 2023 Kunming Health Science and Technology Talent Training Project (Medical Technology Center) [No. 2023-SW (Technology)-13].
Received  2023-03-16
Accepted  2023-08-09
DOI: 10.12015/issn.1674-8034.2023.09.030
WANG C Q, YANG B. Advances and Applications of Artificial Intelligence in liver transplantation[J]. Chin J Magn Reson Imaging, 2023, 14(9): 165-170. DOI:10.12015/issn.1674-8034.2023.09.030.

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