Published online Nov 15, 2019. doi: 10.4251/wjgo.v11.i11.1043
Peer-review started: May 23, 2019
First decision: July 31, 2019
Revised: September 6, 2019
Accepted: September 13, 2019
Article in press: September 13, 2019
Published online: November 15, 2019
Processing time: 177 Days and 15.5 Hours
Intraductal papillary mucinous neoplasm (IPMN) has the potential to become malignant. Thus, preoperative prediction of its malignancy is of vital importance to clinical practice. Currently, several models are available for predicting the malignancy of IPMN. However, whether these models can be widely applied in clinical practice remains unknown. This study aimed to externally validate these models and compare their accuracy in predicting the individualized probability of malignancy in patients with IPMN. The results may aid clinicians in assessing an individual’s risk for malignant IPMN.
To better facilitate clinicians’ evaluation of a patient’s risk–benefit profile for IPMN resection vs surveillance.
The aim of this study was to perform a head-to-head comparison of four models for predicting the malignancy of IPMN. The results may provide a reference for clinicians when evaluating the malignant potential of IPMN.
Data of 181 patients with available preoperative endoscopic ultrasound records and pathologically confirmed IPMN were collected from a prospectively maintained institutional database over a 9-year period. Model comparison was assessed by using concordance index (C-index), calibration plots, decision curve analyses, and diagnostic tests.
The C-index of the model from the Pancreatic Surgery Consortium (PSC) was 0.842 [95% confidence interval (CI): 0.782-0.901], which was the highest among the four examined models. Calibration plots showed that the PSC model had the least pronounced departure from ideal predictions. In the decision curve analyses, the PSC model showed a better clinical net benefit than the three other models. Diagnostic tests also showed that the PSC model had the highest accuracy (0.801).
The PSC model showed the best performance characteristics. Therefore, the PSC model should be considered the best tool for assessing an individual’s risk for malignant IPMN and may facilitate clinical decision-making regarding resection vs surveillance.
Future studies should focus on integrating CA19-9 into the PSC model and develop reliable biomarkers for predicting IPMN malignancy.