scholarly journals International comparison of the German evidence-based S3-guidelines on the diagnosis and multimodal treatment of early and locally advanced gastric cancer, including adenocarcinoma of the lower esophagus

2014 ◽  
Vol 18 (3) ◽  
pp. 550-563 ◽  
Author(s):  
Markus Moehler ◽  
Christoph T. H. Baltin ◽  
Matthias Ebert ◽  
Wolfgang Fischbach ◽  
Ines Gockel ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Advanced Gastric Cancer ◽  
International Comparison ◽  
Multimodal Treatment ◽  
Locally Advanced ◽  
Evidence Based ◽  
Lower Esophagus ◽  
S3 Guidelines ◽  
Locally Advanced Gastric Cancer

Multimodal treatment in locally advanced gastric cancer

2018 ◽  
Vol 70 (2) ◽  
pp. 173-179 ◽  
Author(s):  
Oliver Thorsten Goetze ◽  
Salah-Eddin Al-Batran ◽  
Mickael Chevallay ◽  
Stefan Paul Mönig
Keyword(s):  
Gastric Cancer ◽  
Advanced Gastric Cancer ◽  
Multimodal Treatment ◽  
Locally Advanced ◽  
Locally Advanced Gastric Cancer

scholarly journals Multimodal Treatment of Locally Advanced Gastric Cancer: Will the West Meet the East?

2019 ◽  
Vol 26 (3) ◽  
pp. 918-918
Author(s):  
Luigina Graziosi ◽  
Elisabetta Marino ◽  
Annibale Donini
Keyword(s):  
Gastric Cancer ◽  
Advanced Gastric Cancer ◽  
Multimodal Treatment ◽  
Locally Advanced ◽  
The West ◽  
Locally Advanced Gastric Cancer

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

Achleving RO resection for locally advanced gastric cancer: Is it worth the risk with multi-organ resection?

2001 ◽  
Vol 120 (5) ◽  
pp. A488-A488
Author(s):  
R MARTINII ◽  
M BRENNAN ◽  
D JAQUES ◽  
D LEUNG ◽  
M KARPEH
Keyword(s):  
Gastric Cancer ◽  
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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