Abstract 180P
Background
Surgical quality control is a crucial determinant of evaluating the tumor efficacy. To assess the ClassIntra grade for quality control and oncological outcomes of robotic radical surgery for gastric cancer (GC).
Methods
Data of patients undergoing robotic radical surgery for GC at a high-volume center were retrospectively analyzed. Patients were categorized into two groups, the iAE (intraoperative adverse event) group and the non-iAE group, based on the occurrence of intraoperative adverse events. Surgical performance was assessed using the Objective Structured Assessment of Technical Skill (OSATS) and the General Error Reporting Tool.
Results
This study included 366 patients (iAE group: n=72 [19.7%] and non-iAE group: n=294 [80.3%]). The proportion of ClassIntra grade II patients was the highest in the iAE group (54.2%). In total and distal gastrectomies, iAEs occurred most frequently in the suprapancreatic area (50.0% and 54.8%, respectively). In total gastrectomy, grade IV iAEs were most common during lymph node dissection in the splenic hilum area (once for bleeding [grade IV] and once for injury [grade IV]). The overall survival (OS) and disease-free survival of the non-iAE group were significantly better than those of the iAE group (Log rank P<0.001). Uni- and multi-variate analyses showed that iAEs were key prognostic indicators, independent of tumor stage and adjuvant chemotherapy (P<0.001).
Conclusions
iAEs in patients who underwent robotic radical gastrectomy significantly correlated with the occurrence of postoperative complications and a poor long-term prognosis. Therefore, utilization and inclusion of ClassIntra grading as a crucial surgical quality control and prognostic indicator in the routine surgical quality evaluation system are recommended.
Clinical trial identification
na
Editorial acknowledgement
This study was approved by the institutional review board (2023KY109).
Legal entity responsible for the study
This study was approved by the institutional review board (2023KY109).
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
5P - Clinicopathologic features and genomic profiling of occult breast cancer
Presenter: Liansha Tang
Session: Poster Display
Resources:
Abstract
6P - Tumor cell-released autophagosomes (TRAPs) promote lung metastasis through inducing PD-L1 high expression of pulmonary vascular endothelial cells (PVECs) in breast cancer
Presenter: Xuru Wang
Session: Poster Display
Resources:
Abstract
7P - Tumor cell-released autophagosomes (TRAPs) promote breast cancer lung metastasis by modulating neutrophil extracellular traps formation
Presenter: Xiaohe Zhou
Session: Poster Display
Resources:
Abstract
9P - Clinicopathological features and prognosis of mucinous breast cancer: A retrospective analysis of 358 patients in Vietnam
Presenter: Hoai Hoang
Session: Poster Display
Resources:
Abstract
10P - Comparison of 28-gene and 70-gene panel in risk-prediction of Chinese women with early-stage HR-positive and HER2-negative breast cancer
Presenter: Lei Lei
Session: Poster Display
Resources:
Abstract
11P - Multimodal analysis of methylation and fragmentomic profiles in plasma cell-free DNA for differentiation of benign and malignant breast tumors
Presenter: Hanh Nguyen
Session: Poster Display
Resources:
Abstract
12P - Plasma cell-free mRNA profiles enable early detection of breast cancer
Presenter: Chi Nguyen
Session: Poster Display
Resources:
Abstract
13P - Relationship of distress and quality of life with gut microbiome composition in newly diagnosed breast cancer patients: A prospective, observational study
Presenter: Chi-Chan Lee
Session: Poster Display
Resources:
Abstract
14P - Classification of molecular subtypes of breast cancer in whole-slide histopathological images using a novel deep learning algorithm
Presenter: Hyung Suk Kim
Session: Poster Display
Resources:
Abstract
15P - The regulation of pregnenolone in breast cancer
Presenter: Hyeon-Gu Kang
Session: Poster Display
Resources:
Abstract