Publications by authors named "C De Jongh"
Article Synopsis
- This study evaluates the effectiveness of Robot-assisted minimally invasive esophagectomy (RAMIE) for treating esophageal cancer at various centers globally, aiming to pinpoint areas for enhancement in surgical outcomes.
- Over three time periods (2016-2023), data from 28 centers was analyzed, revealing improvements in textbook outcome rates, lymph node yields, and decreased hospital stays, particularly with McKeown procedures.
- The results showed varying success rates in surgical outcomes and complications, with a noteworthy decrease in anastomotic leakage rates and hospital stays over time, highlighting advancements in surgical techniques.
Introduction: Telementoring could increase the quality, reduce the time, and increase cost efficiency of the proctoring program for robot-assisted minimally invasive esophagectomy (RAMIE). However, feasibility is unclear as no studies assessed telementoring for RAMIE.
Methods: The feasibility of telementoring was assessed during the thoracic part of RAMIE procedures in three high-volume centers.
Objective: To clarify the impact of the preoperative time intervals on short-term postoperative and pathologic outcomes in patients with esophageal cancer who underwent neoadjuvant chemoradiotherapy (nCRT) followed by esophagectomy.
Background: The impact of preoperative intervals on patients with esophageal cancer who received multimodality treatment remains unknown.
Methods: Patients (cT1-4aN0-3M0) treated with nCRT plus esophagectomy were included using the Dutch national DUCA database.
Background: Unnecessary D2-gastrectomy and associated costs can be prevented after detecting non-curable gastric cancer, but impact of staging on treatment costs is unclear. This study determined the cost impact of F-fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) and staging laparoscopy (SL) in gastric cancer staging.
Materials And Methods: In this cost analysis, four staging strategies were modeled in a decision tree: (1) FDG-PET/CT first, then SL, (2) SL only, (3) FDG-PET/CT only, and (4) neither SL nor FDG-PET/CT.