scholarly journals Prediction of Lymph Node Metastases in Gastric Cancer by Serum APE1 Expression

2017 ◽  
Vol 8 (8) ◽  
pp. 1492-1497 ◽  
Author(s):  
Xi Wei ◽  
Yi-bo Li ◽  
Ying Li ◽  
Ben-cheng Lin ◽  
Xiao-Min Shen ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Lymph Node ◽  
Lymph Node Metastases ◽  
Node Metastases

scholarly journals 18F-FDG PET/CT Radiomics for Preoperative Prediction of Lymph Node Metastases and Nodal Staging in Gastric Cancer

2021 ◽  
Vol 11 ◽  
Author(s):  
Qiufang Liu ◽  
Jiaru Li ◽  
Bowen Xin ◽  
Yuyun Sun ◽  
Dagan Feng ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Lymph Node ◽  
Lymph Node Metastases ◽  
Fdg Pet ◽  
Fixed Ratio ◽  
Preoperative Prediction ◽  
Pet Ct ◽  
N Stage ◽  
Node Metastases ◽  
Fdg Pet Ct

ObjectivesThe accurate assessment of lymph node metastases (LNMs) and the preoperative nodal (N) stage are critical for the precise treatment of patients with gastric cancer (GC). The diagnostic performance, however, of current imaging procedures used for this assessment is sub-optimal. Our aim was to investigate the value of preoperative 18F-FDG PET/CT radiomic features to predict LNMs and the N stage.MethodsWe retrospectively collected clinical and 18F-FDG PET/CT imaging data of 185 patients with GC who underwent total or partial radical gastrectomy. Patients were allocated to training and validation sets using the stratified method at a fixed ratio (8:2). There were 2,100 radiomic features extracted from the 18F-FDG PET/CT scans. After selecting radiomic features by the random forest, relevancy-based, and sequential forward selection methods, the BalancedBagging ensemble classifier was established for the preoperative prediction of LNMs, and the OneVsRest classifier for the N stage. The performance of the models was primarily evaluated by the AUC and accuracy, and validated by the independent validation methods. Analysis of the feature importance and the correlation were also conducted. We also compared the predictive performance of our radiomic models to that with the contrast-enhanced CT (CECT) and 18F-FDG PET/CT.ResultsThere were 185 patients—127 men, 58 women, with the median age of 62, and an age range of 22–86 years. One CT feature and one PET feature were selected to predict LNMs and achieved the best performance (AUC: 82.2%, accuracy: 85.2%). This radiomic model also detected some LNMs that were missed in CECT (19.6%) and 18F-FDG PET/CT (35.7%). For predicting the N stage, four CT features and one PET feature were selected (AUC: 73.7%, accuracy: 62.3%). Of note, a proportion of patients in the validation set whose LNMs were incorrectly staged by CECT (57.4%) and 18F-FDG PET/CT (55%) were diagnosed correctly by our radiomic model.ConclusionWe developed and validated two machine learning models based on the preoperative 18F-FDG PET/CT images that have a predictive value for LNMs and the N stage in GC. These predictive models show a promise to offer a potentially useful adjunct to current staging approaches for patients with GC.

scholarly journals Evaluation of lymph node metastases in gastric cancer with spiral computed tomography

2006 ◽  
Vol 14 (31) ◽  
pp. 3060
Author(s):  
Zhi-Qing Zhao ◽  
Ke-Guo Zheng ◽  
Jing-Xian Shen ◽  
Wei Wang ◽  
Zi-Ping Li ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Computed Tomography ◽  
Lymph Node ◽  
Lymph Node Metastases ◽  
Spiral Computed Tomography ◽  
Spiral Computed ◽  
Node Metastases

Preoperative assessment of lymph node metastases in patients with gastric cancer: evaluation of the Maruyama computer program

1992 ◽  
Vol 79 (2) ◽  
pp. 156-160 ◽  
Author(s):  
E. Bollschweiler ◽  
K. Boettcher ◽  
A. H. Hoelscher ◽  
M. Sasako ◽  
T. Kinoshita ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Lymph Node ◽  
Computer Program ◽  
Lymph Node Metastases ◽  
Preoperative Assessment ◽  
Node Metastases

scholarly journals Is surgery alone sufficient for treating T1 gastric cancer with extensive lymph node metastases?

2019 ◽  
Vol 23 (2) ◽  
pp. 349-355 ◽  
Author(s):  
Masahiro Yura ◽  
Takaki Yoshikawa ◽  
Sho Otsuki ◽  
Yukinori Yamagata ◽  
Shinji Morita ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Lymph Node ◽  
Lymph Node Metastases ◽  
Node Metastases ◽  
Extensive Lymph Node

Gastric cancer with para-aortic lymph node metastases: do not miss a chance of cure!

2014 ◽  
Vol 74 (2) ◽  
pp. 433-434 ◽  
Author(s):  
Daniele Marrelli ◽  
Maria Antonietta Mazzei ◽  
Franco Roviello
Keyword(s):  
Gastric Cancer ◽  
Lymph Node ◽  
Lymph Node Metastases ◽  
Aortic Lymph Node ◽  
Node Metastases

Lymph-node metastases: efficacy for detection with helical CT in patients with gastric cancer.

Radiology ◽  
1995 ◽  
Vol 197 (3) ◽  
pp. 705-711 ◽  
Author(s):  
T Fukuya ◽  
H Honda ◽  
T Hayashi ◽  
K Kaneko ◽  
Y Tateshi ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Lymph Node ◽  
Lymph Node Metastases ◽  
Helical Ct ◽  
Node Metastases

The prognostic value of P53 in the nodal metastization of gastric cancer.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e14673-e14673
Author(s):  
Luisa Quaresma ◽  
Antonio CALDEIRA Fradique ◽  
Fernanda Cabrita ◽  
Alexandra Pupo ◽  
Guedes DA Silva ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Lymph Node ◽  
Prognostic Factor ◽  
Gastric Carcinoma ◽  
Lymph Node Metastases ◽  
P53 Protein ◽  
Mutant P53 ◽  
P53 Expression ◽  
Major Interest ◽  
Node Metastases

e14673 Background: Lymph node Metastases play a major role as an independent prognostic factor in gastric cancer. Presence of distal lymph node metastases assumes a pejorative prognostic significance, and represents a problem in terms of therapeutic approach. For this reason it’s of major interest to find predictive markers of distal lymph node chain involvement. The P53 tumor suppressor gene, a product of the TP53 gene works normally as a brake on DNA replication, as suppressor of angiogenesis and triggering of apoptosis. The gene most frequently mutated in gastric cancer is the TP53, that is responsible for the production of P53 mutant protein, which forms inactive complex with the native protein, and manifest by the overexpression of p53 in immunocytochemistry. The overexpression of P53 gene has been considered a bad prognostic factor associated mainly with lymph node metastases. Methods: This study seeks to determine the relation between the expression of P53 and the presence of distal lymph node metastases as an indicator for an extended lymphadenectomy. A total of 50 patients undergoing surgery with D2 lymphadenectomy for gastric carcinoma with curative intent were enrolled in this work. Therefore it was evaluated in 1,786 lymph nodes the correlation between the P53 expression with tumor location, size, histological type, depth , number of nodes involved, number of distal lymph node metastases and the TNM stage. Results: In all parameters, mutant P53 protein related with indicators of poor prognosis. In particular has demonstrated a statistical significant correlation (p=0.019) with the presence of distal lymph node metastases. The main objective of this study which was finding a prognostic predictor of distal nodal metastases has been reached. Conclusions: Mutant P53 protein is a good prognostic indicator, for the presence of distal lymph node involvement in gastric carcinoma.

High Accuracy of Multislices Computed Tomography (MSCT) for Para-Aortic Lymph Node Metastases from Gastric Cancer: A Prospective Single-Center Study

2011 ◽  
Vol 18 (8) ◽  
pp. 2265-2272 ◽  
Author(s):  
Daniele Marrelli ◽  
Maria Antonietta Mazzei ◽  
Corrado Pedrazzani ◽  
Marianna Di Martino ◽  
Carla Vindigni ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Computed Tomography ◽  
Lymph Node ◽  
Lymph Node Metastases ◽  
High Accuracy ◽  
Single Center ◽  
Single Center Study ◽  
Aortic Lymph Node ◽  
Node Metastases ◽  
Center Study
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