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

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
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article

Development of a Scoring System for Predicting the Benign-Malignant Degree of IPNB Based on Imaging Features and Clinical Indicators

Jingjing Chu, Yilei Zhao, Jie Zhang, Zhe Zhang et al.
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
Radiomics and Machine Learning in Medical Imaging
article

Development of a Scoring System for Predicting the Benign-Malignant Degree of IPNB Based on Imaging Features and Clinical Indicators

Jingjing Chu, Yilei Zhao, Jie Zhang, Zhe Zhang, Lu Han, Wenbo Xiao
article en

Abstract

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.

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
Openalex Percentile: Top 65%
Radiomics and Machine Learning in Medical Imaging
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Development of a Scoring System for Predicting the Benign-Malignant Degree of IPNB Based on Imaging Features and Clinical Indicators — Jingjing Chu, Yilei Zhao, et al. · 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 (2025) | TGRS Research Map | TGRS