scholarly journals Surgical strategy for locally advanced gastric cancer

2018 ◽  
Vol 2 (1) ◽  
pp. 10-18
Author(s):  
Thakur Binay ◽  
Devkota Mukti ◽  
Bishal Sapkota
Keyword(s):  
Gastric Cancer ◽  
Soviet Union ◽  
Advanced Gastric Cancer ◽  
Former Soviet Union ◽  
Locally Advanced ◽  
Multimodality Treatment ◽  
Surgical Strategy ◽  
Locally Advanced Gastric Cancer ◽  
Pet Ct ◽  
Nodal Dissection

Gastric cancer is endemic in China, Japan, Korea, Brazil and Former Soviet Union. Patients are diagnosed usually in locally advanced stage. Endoscopy, PET-CT, Endoscopic ultrasound and staging laparoscopy are the tools for proper evaluation of such patients. Locally advanced gastric cancer (T2-4N0 or T any N+) requires multimodality treatment including surgery. Surgical strategy requires gastrectomy with D2 nodal dissection.

scholarly journals Evidence Based Surgical Approach to Locally Advanced Gastric Cancer

2019 ◽  
Vol 17 (2) ◽  
pp. 133-140
Author(s):  
Binay Thakur ◽  
Mukti Devkota ◽  
Amit Sharma ◽  
Manish Chaudhary
Keyword(s):  
Gastric Cancer ◽  
Soviet Union ◽  
Advanced Gastric Cancer ◽  
Former Soviet Union ◽  
Locally Advanced ◽  
Population Level ◽  
Multimodality Treatment ◽  
Current Evidence ◽  
Curative Surgery ◽  
Locally Advanced Gastric Cancer

Gastric cancer is endemic in China, Japan, Korea, Brazil and Former Soviet Union. Patients are diagnosed usually in locally advanced stage. Endoscopy, Positron Emission Therapy- Computed Tomography, Endoscopic ultrasound and staging laparoscopy are the tools for proper evaluation of such patients. Locally advanced gastric cancer (T2-4N0 or TanyN+) requires multimodality treatment including surgery. Resection is the cornerstone of cure for gastric adenocarcinoma; however, several aspects of surgical intervention remain controversial or are suboptimally applied at a population level. Current evidence shows a D2 gastrectomy has got the best survival results. At least 15 lymph nodes should be assessed for adequate staging. Laparoscopic resections should be performed to the same standards as those for for open resections, by surgeons who are experienced in both advanced laparoscopic surgery and gastric cancer management.Keywords: Curative surgery; gastrectomy; stomach neoplasms.

Assessing the feasibility of full robotic interaortocaval nodal dissection for locally advanced gastric cancer

2014 ◽  
Vol 11 (2) ◽  
pp. 218-222 ◽  
Author(s):  
Franco Roviello ◽  
Riccardo Piagnerelli ◽  
Francesco Ferrara ◽  
Edda Caputo ◽  
Maximilian Scheiterle ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Advanced Gastric Cancer ◽  
Locally Advanced ◽  
Locally Advanced Gastric Cancer ◽  
Nodal Dissection

CPT-11/Cisplatin neoadjuvant therapy downstages locally advanced gastric cancer

2001 ◽  
Vol 120 (5) ◽  
pp. A129-A129
Author(s):  
E NEWMAN ◽  
S MARCUS ◽  
M POTMESIL ◽  
H HOCHSTER ◽  
H YEE ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Neoadjuvant Therapy ◽  
Advanced Gastric Cancer ◽  
Locally Advanced ◽  
Locally Advanced Gastric Cancer

scholarly journals A radiomics-based model for predicting prognosis of locally advanced gastric cancer in the preoperative setting

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jaeseung Shin ◽  
Joon Seok Lim ◽  
Yong-Min Huh ◽  
Jie-Hyun Kim ◽  
Woo Jin Hyung ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Advanced Gastric Cancer ◽  
Cox Regression ◽  
Characteristic Curve ◽  
External Validation ◽  
Locally Advanced ◽  
Clinical Model ◽  
Locally Advanced Gastric Cancer ◽  
Contrast Enhanced Ct ◽  
Preoperative Ct

AbstractThis study aims to evaluate the performance of a radiomic signature-based model for predicting recurrence-free survival (RFS) of locally advanced gastric cancer (LAGC) using preoperative contrast-enhanced CT. This retrospective study included a training cohort (349 patients) and an external validation cohort (61 patients) who underwent curative resection for LAGC in 2010 without neoadjuvant therapies. Available preoperative clinical factors, including conventional CT staging and endoscopic data, and 438 radiomic features from the preoperative CT were obtained. To predict RFS, a radiomic model was developed using penalized Cox regression with the least absolute shrinkage and selection operator with ten-fold cross-validation. Internal and external validations were performed using a bootstrapping method. With the final 410 patients (58.2 ± 13.0 years-old; 268 female), the radiomic model consisted of seven selected features. In both of the internal and the external validation, the integrated area under the receiver operating characteristic curve values of both the radiomic model (0.714, P < 0.001 [internal validation]; 0.652, P = 0.010 [external validation]) and the merged model (0.719, P < 0.001; 0.651, P = 0.014) were significantly higher than those of the clinical model (0.616; 0.594). The radiomics-based model on preoperative CT images may improve RFS prediction and high-risk stratification in the preoperative setting of LAGC.

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