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Erschienen in:
07.08.2024 | Hepatobiliary-Pancreas
An imaging-based model to predict the malignant potential of intraductal papillary mucinous neoplasm of the pancreas
Erschienen in: European Radiology | Ausgabe 2/2025
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Objectives
To develop and validate imaging-based models for predicting the malignancy risk of intraductal papillary mucinous neoplasm (IPMN).
Materials and methods
We retrospectively analyzed data from 241 IPMN patients who underwent preoperative CT and MRI for model development. Cyst size, presence and size of the enhancing mural nodule (EMN), main pancreatic duct (MPD) diameter, thickened/enhancing cyst wall, abrupt MPD caliber change with distal atrophy, and lymphadenopathy were assessed. Multiple logistic regression models predicting malignancy risk were created using either continuous (Model C) or dichotomized variables (Model D) using these imaging features. Validation included internal (n = 55) and external (n = 43) datasets. Model performance was assessed using the area under the receiver operating characteristic curve (AUC) and compared with that of the international guideline-based model (Model F).
Results
Model C identified age, EMN size, MPD diameter, and lymphadenopathy as independent predictors on CT, and age and presence and size of EMN on MRI. Model D identified age ≥ 68, cyst size ≥ 31 mm, EMN ≥ 6 mm, MPD ≥ 7 mm, and lymphadenopathy as independent predictors on CT, and age ≥ 68, EMN ≥ 4.5 mm, and lymphadenopathy on MRI. Model C (AUC, 0.763–0.899) performed slightly better than Model D (AUC, 0.753–0.912) without statistical significance. No significant difference was observed between Models C and F (AUC, 0.729–0.952). Combining Model C with obstructive jaundice improved performance (AUC, 0.802–0.941) without statistical significance.
Conclusion
Our imaging-based models effectively predicted the malignancy risk of IPMNs, comparable to international consensus guidelines.
Clinical relevance statement
Imaging features are important for predicting the malignant potential of IPMNs. Our imaging-based model may help determine surgical candidacy for patients with IPMNs.
Key Points
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Non-invasively determining the malignant potential of intraductal papillary mucinous neoplasms (IPMNs) allows for appropriate treatment decision-making
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We identified multiple imaging features that are associated with malignant transformation and developed models for this prediction.
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Our model performs comparably with international consensus guidelines in predicting the malignant potential of IPMNs.
Graphical Abstract
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