Development of a Scoring System for Predicting the Benign-Malignant Degree of IPNB Based on Imaging Features and Clinical Indicators
Motivation: The Intraductal Papillary Neoplasm of the Bile Duct (IPNB) is a macroscopic and precancerous lesion typically characterized by papillary or villous proliferation within the bile ducts. Goal(s): Our study aims to establish a scoring system to predict the benign and malignant degree of IPNB. Approach: Nomogram model based on imaging and clinical features was used to predict the malignant potential of IPNB. Results: The nomogram model achieved an AUC of 0.855 (95% CI: 0.801-0.908) in the training set (threshold: 0.431, sensitivity: 0.879, specificity: 0.745) and an AUC of 0.912 (95% CI: 0.846-0.977) in the testing set (threshold: 0.446, sensitivity: 0.974, specificity: 0.783). Impact: The scoring system demonstrates high sensitivity and specificity in predicting IPNB malignancy. This scoring system, based on clinical data and imaging features, enables early IPNB screening and surgical planning.
Authors
- Jingjing Chu (ORCID: https://orcid.org/0009-0003-8256-7341)
- Yilei Zhao (ORCID: https://orcid.org/0009-0009-4226-1456)
- Jie Zhang (ORCID: https://orcid.org/0000-0003-4936-7922)
- Zhe Zhang (ORCID: https://orcid.org/0000-0001-8407-3167)
- Lu Han (ORCID: https://orcid.org/0000-0002-1573-2912)
- Wenbo Xiao
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/1954
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00