A new machine learning model using endoscopic ultrasound can differentiate main-duct intraductal papillary mucinous neoplasm (MD-IPMN) from chronic pancreatitis (CP), which is crucial for surgical decision-making.

• Key features to note: intraductal nodules (2.4% CP vs 20.0% MD-IPMN, p = .003) and ductal stones (77.1% CP vs 2.5% MD-IPMN, p < .001).
• The model achieved a high accuracy (AUC 0.946) and remained effective in stone-negative cases (AUC 0.830).

This tool could streamline evaluations when imaging is unclear, potentially improving patient outcomes.

• Surveillance for IPMNs rose significantly, with 74% of 3,304 patients managed this way.
• Rates of high-grade dysplasia and invasive carcinoma increased after surveillance, with high-risk stigmata rising from 9% to 48%.

Timely surgical intervention is crucial, as delayed resections may lead to worse outcomes.

• Overall, low-grade dysplasia decreased, but invasive cancer remains a concern, highlighting the need for better monitoring and intervention strategies.

Surgeons can now consider double mini upper transversal hepatectomy for colorectal liver metastases involving major veins, previously deemed unresectable.

• This novel approach utilizes peripheral communicating veins to achieve an R0 resection while preserving liver functionality.
• Patients in this study faced no major complications and were discharged by postoperative day 12.

This method expands surgical options for challenging cases, enhancing patient outcomes and potentially improving survival rates.