1.Efficacy of robot-assisted versus laparoscopic parenchymal-sparing pancreatectomy in treatment of pancreatic neuroendocrine neoplasm
Guihu WENG ; Zhe CAO ; Yueze LIU ; Taiping ZHANG
Journal of Clinical Hepatology 2025;41(6):1156-1160
ObjectiveTo compare and analyze the clinical application of robot-assisted parenchymal-sparing pancreatectomy (R-PSP) and laparoscopic parenchymal-sparing pancreatectomy (L-PSP) in the treatment of pancreatic neuroendocrine neoplasm (pNEN), and to evaluate the safety and efficacy of the R-PSP procedure. MethodsA retrospective analysis was performed for the clinical data of pNEN patients who underwent parenchymal-sparing pancreatectomy in Department of General Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, from December 2017 to August 2023, and according to the minimally invasive surgical procedure, they were divided into R-PSP group and L-PSP group. R-PSP and L-PSP were compared in terms of the efficacy of minimally invasive procedure, the outcome of postoperative complications, and oncological efficacy. The independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between two groups; the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups; the Mann-Whitney U test was used for comparison of ranked data between two groups. ResultsA total of 45 pNEN patients were included, with 9 in the R-PSP group and 36 in the L-PSP group, and there were no significant differences in baseline data between the two groups (all P>0.05). There were no significant differences between the two groups in time of operation, intraoperative blood loss, intraoperative blood transfusion, and the rate of conversion to laparotomy (all P>0.05). Compared with the L-PSP group, the R-PSP group had a significantly longer length of postoperative hospital stay [10.00 (9.00 — 15.00) days vs 7.50 (6.00 — 10.00) days, Z=-2.356, P=0.017] and significantly higher hospital costs [86 610.44 (81 905.39 — 114 401.24) yuan vs 38 781.20 (31 708.39 — 50 514.76) yuan, Z=-4.001, P<0.001]. There were no significant differences between the two groups in the incidence rates of serious postoperative complications (Clavien-Dindo grade ≥Ⅲ), clinically relevant pancreatic fistula, delayed gastric emptying, and intra-abdominal infection (all P>0.05). The postoperative 90-day mortality rate was 0% for both groups. ConclusionR-PSP has acceptable safety and efficacy in pNEN patients in clinical practice.
2.Research and guidelines interpretation of neoadjuvant therapy for resectable pancreatic cancer,promising or lim-ited?
Taiping ZHANG ; Guihu WENG ; Yueze LIU
Journal of Surgery Concepts & Practice 2024;29(1):1-4
As a systemic disease,pancreatic cancer is highly malignant and has a high rate of recurrence and metastasis,which makes it particularly difficult in diagnosis,treatment and management.In recent years,with the concept of neoadjuvant therapy deeply rooted in the hearts of the people,the treatment of pancreatic cancer has increasingly emphasized the development of comprehensive and individualized treatment schemes in the whole process and multi-dimensional management of pancreatic cancer patients.However,there still remain many controversies about the application of neoadjuvant therapy for resectable pancreatic cancer.This review intended to discuss the hot topics and related controversies in the implementation of neoadjuvant therapy for patients with resectable pancreatic cancer based on domestic and foreign guidelines and the latest research progress,which may vastly promote the standardized application of neoadjuvant therapy for resectable pancreatic cancer.
3.Application of Artificial Intelligence in the Diagnosis and Treatment of Pancreatic Cancer
Yifan FU ; Guihu WENG ; Zhe CAO ; Taiping ZHANG
Medical Journal of Peking Union Medical College Hospital 2024;15(4):747-750
Pancreatic cancer, a highly malignant digestive system tumor, presents significant challenges in surgical treatment and generally has a poor prognosis. Luckily, the rapid development of medical artificial intelligence has facilitated its application in areas related to pancreatic cancer, including preoperative imaging diagnostics, rapid pathological diagnosis, surgical robotic systems, and the training of pancreatic surgery specialists. In this paper, we review the latest advancements in the application of medical artificial intelligence in pancreatic cancer, aiming to promote the deep integration of artificial intelligence in the field of pancreatic cancer surgery.

Result Analysis
Print
Save
E-mail