Development and Validation of a Predictive Model for Occult Liver Metastasis in Pancreatic Ductal Adenocarcinoma Using Subjective Imaging and Clinical Data

The combined model incorporating clinical and radiological features offers a simple, cost-effective tool to identify PDAC patients at high risk for OLMs, supporting informed surgical decisions and improved outcomes. Integrating clinical and radiological markers enhances early detection and personalized care in PDAC management.

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Publication Details

Journal
Cancer Medicine
Published
2025-09-29
DOI
https://doi.org/10.1002/cam4.71280
Primary Topic
Pancreatic and Hepatic Oncology Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and Validation of a Predictive Model for Occult Liver Metastasis in Pancreatic Ductal Adenocarcinoma Using Subjective Imaging and Clinical Data

Derong Liu, Jiang Long, Jia‐Bei Liu, Peng Liu et al.
Cancer Medicine
Pancreatic and Hepatic Oncology Research
article

Development and Validation of a Predictive Model for Occult Liver Metastasis in Pancreatic Ductal Adenocarcinoma Using Subjective Imaging and Clinical Data

Derong Liu, Jiang Long, Jia‐Bei Liu, Peng Liu, Hao Li, Jia He, Qianbiao Gu
article en

Abstract

The combined model incorporating clinical and radiological features offers a simple, cost-effective tool to identify PDAC patients at high risk for OLMs, supporting informed surgical decisions and improved outcomes. Integrating clinical and radiological markers enhances early detection and personalized care in PDAC management.

Cancer MedicineVol. 14(19)
Union Hospital (HK), Hunan Normal University (CN), Hunan Provincial People's Hospital (CN), Union Hospital (CN)
Openalex Percentile: Top 63%
Pancreatic and Hepatic Oncology Research
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Development and Validation of a Predictive Model for Occult Liver Metastasis in Pancreatic Ductal Adenocarcinoma Using Subjective Imaging and Clinical Data — Derong Liu, Jiang Long, et al. · Cancer Medicine (2025) | TGRS Research Map | TGRS