Machine Learning‐Based Radiomics in Malignancy Prediction of Pancreatic Cystic Lesions: Evidence from Cyst Fluid Multi‐Omics

Machine Learning‐Based Radiomics in Malignancy Prediction of Pancreatic Cystic Lesions: Evidence from Cyst Fluid Multi‐Omics

Abstract The malignant potential of pancreatic cystic lesions (PCLs) varies dramatically, leading to difficulties when making clinical decisions. This study aimed to develop noninvasive clinical‐radiomic models using preoperative CT images to predict the malignant potential of PCLs. It also investig...

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Main Authors: Sihang Cheng, Ge Hu, Shenbo Zhang, Rui Lv, Limeng Sun, Zhe Zhang, Zhengyu Jin, Yanyan Wu, Chen Huang, Lu Ye, Yunlu Feng, Zhe‐Sheng Chen, Zhiwei Wang, Huadan Xue, Aiming Yang
Format: Article
Language:English
Published: Wiley 2025-05-01
Series:Advanced Science
Subjects:
artificial intelligence
lipidomic
pancreatic cystic lesions
proteomic
radiomics
Online Access:https://doi.org/10.1002/advs.202409488
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https://doi.org/10.1002/advs.202409488

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