Semiannual surveillance facilitates detection of surgically treatable intraductal papillary mucinous neoplasm-derived and concomitant carcinoma: a multicenter prospective observational study.

Intraductal papillary mucinous neoplasm (IPMN) is a well-recognized precursor of pancreatic cancer; however, the optimal surveillance strategy for IPMN remains controversial. This study aimed to evaluate the clinical impact of semiannual surveillance using endoscopic ultrasonography (EUS) and magnetic resonance imaging (MRI) for the detection of malignant transformation, including IPMN-derived and concomitant carcinoma.

This multicenter prospective observational study included 360 patients with branch-duct or mixed-type IPMN enrolled between April 2018 and December 2025. Patients underwent surveillance every 6 months with blood tests and EUS or MRI. The primary endpoint was the curative resection rate among patients diagnosed with IPMN-derived or concomitant carcinoma. Secondary endpoints included the incidence of newly developed worrisome features (WF) and high-risk stigmata (HRS), as well as the cumulative incidence of malignancy.

During a median follow-up period of 69 months, newly developed WF and HRS were observed in 30.3% and 2.5% of patients, respectively. Malignant transformation was confirmed in 12 patients (3.3%), including nine with IPMN-concomitant carcinoma and three with IPMN-derived carcinoma. Curative resection was performed in 9 of these patients, resulting in a surgical transition rate of 75.0%. All malignant pancreatic lesions were detected at a resectable or borderline-resectable stage at diagnosis.

Semiannual surveillance using EUS and MRI facilitated the detection of malignant pancreatic lesions at a surgically treatable stage in patients with IPMN. This surveillance strategy may be clinically valuable for identifying IPMN-derived and concomitant carcinoma at stages amenable to surgical treatment in high-risk populations.
Cancer
Care/Management

Authors

Ohashi Ohashi, Maruta Maruta, Koizumi Koizumi, Iwata Iwata, Uemura Uemura, Tezuka Tezuka, Iwasa Iwasa, Okuno Okuno, Iwata Iwata, Mukai Mukai, Ichikawa Ichikawa, Mita Mita, Yoshida Yoshida, Iwashita Iwashita, Shimizu Shimizu
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