Imaging diagnosis of malignant risk of pancreatic cystic neoplasms:advances and difficulties
10.16781/j.CN31-2187/R.20230453
- VernacularTitle:胰腺囊性肿瘤恶变风险影像学诊断进展与困境
- Author:
Xiaohan YUAN
1
;
Yun BIAN
Author Information
1. 海军军医大学(第二军医大学)第一附属医院放射诊断科,上海 200433
- Keywords:
pancreatic cystic neoplasms;
radiomics;
artificial intelligence;
X-ray computed tomography;
magnetic resonance imaging
- From:
Academic Journal of Naval Medical University
2024;45(12):1463-1469
- CountryChina
- Language:Chinese
-
Abstract:
With the popularity of imaging examination and the increase in average life expectancy,the detection rate of pancreatic cystic neoplasm(PCN)is also increasing.Different subtypes of PCN have different risks of malignancy,therefore,accurate stratification of the malignant potential is crucial for providing surveillance plans and making surgical decision.In recent years,many guidelines have identified several imaging features(cyst size,mural nodules,and main pancreatic duct diameter)as risk factors for PCN malignancy.However,the measurement standards for individual feature are not uniform and their diagnostic capabilities are limited;models that integrate multiple features perform poorly in diagnosis.This article reviews the value of imaging risk factors in PCN malignancy prediction and the application of radiomics and artificial intelligence,providing direction for further imaging research and improving the accuracy of preoperative PCN risk stratification.
