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Development and validation of an individualized nomogram to identify occult peritoneal metastasis in patients with advanced gastric cancer

Annals of oncology, 2019-03, Vol.30 (3), p.431-438

2019

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Extramedullary Plasmacytoma

RöFo : Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebende Verfahren, 2018-11, Vol.190 (11), p.1006

2018

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Peptide receptor radionuclide therapy in gastroenteropancreatic NEN G3: a multicenter cohort study

Endocrine-related cancer, 2019-02, Vol.26 (2), p.227-239

2019

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Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study

Annals of oncology, 2020-07, Vol.31 (7), p.912-920

2020

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Molecular Imaging of Gastroenteropancreatic Neuroendocrine Tumors: Current Status and Future Directions

Journal of Nuclear Medicine, 2016-12, Vol.57 (12), p.1949-1956

2016

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Impact of initial imaging with gallium‐68 dotatate PET/CT on diagnosis and management of patients with neuroendocrine tumors

Journal of surgical oncology, 2020-03, Vol.121 (3), p.480-485

2020

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68Ga-DOTATATE Compared with 111In-DTPA-Octreotide and Conventional Imaging for Pulmonary and Gastroenteropancreatic Neuroendocrine Tumors: A Systematic Review and Meta-Analysis

The Journal of nuclear medicine (1978), 2016-06, Vol.57 (6), p.872-878

2016

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A National Cohort Study Evaluating the Association Between Short-term Outcomes and Long-term Survival After Esophageal and Gastric Cancer Surgery

Annals of surgery, 2019-11, Vol.270 (5), p.868-876

2019

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Development and Validation of a Deep Learning CT Signature to Predict Survival and Chemotherapy Benefit in Gastric Cancer: A Multicenter, Retrospective Study

Annals of surgery, 2021-12, Vol.274 (6), p.e1153-e1161

2021

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Development and validation of a CT-based radiomic nomogram for preoperative prediction of early recurrence in advanced gastric cancer

Radiotherapy and oncology, 2020-04, Vol.145, p.13-20

2020

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Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images

Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association, 2018-07, Vol.21 (4), p.653-660

2018

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An update on the diagnosis of gastroenteropancreatic neuroendocrine neoplasms

World journal of gastroenterology : WJG, 2022-03, Vol.28 (10), p.1009-1023

2022

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Prognostic significance of CT-determined sarcopenia in patients with advanced gastric cancer

PloS one, 2018-08, Vol.13 (8), p.e0202700-e0202700

2018

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Dual Somatostatin Receptor/ 18 F-FDG PET/CT Imaging in Patients with Well-Differentiated, Grade 2 and 3 Gastroenteropancreatic Neuroendocrine Tumors

Journal of Nuclear Medicine, 2024-10, Vol.65 (10), p.1591-1596

2024

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Noninvasive imaging evaluation of tumor immune microenvironment to predict outcomes in gastric cancer

Annals of oncology, 2020-06, Vol.31 (6), p.760-768

2020

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Fluorescent‐guided surgery for sentinel lymph node detection in gastric cancer and carcinoembryonic antigen targeted fluorescent‐guided surgery in colorectal and pancreatic cancer

Journal of surgical oncology, 2018-08, Vol.118 (2), p.315-323

2018

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Effectiveness of the Korean National Cancer Screening Program in Reducing Gastric Cancer Mortality

Gastroenterology (New York, N.Y. 1943), 2017-05, Vol.152 (6), p.1319-1328.e7

2017

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Update version of the Japanese Guidelines for Gastric Cancer Screening

Japanese journal of clinical oncology, 2018-07, Vol.48 (7), p.673-683

Hamashima, Chisato

2018

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Larger Tumor Size and Elevated Serum Chromogranin A Levels Predict Metastatic Disease on DOTATATE Imaging in Patients with Gastroenteropancreatic Neuroendocrine Tumors

Annals of surgical oncology, 2024-10, Vol.31 (10), p.6875-6882

2024

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Endoscopic Screening in Asian Countries Is Associated With Reduced Gastric Cancer Mortality: A Meta-analysis and Systematic Review

Gastroenterology (New York, N.Y. 1943), 2018-08, Vol.155 (2), p.347-354.e9

2018

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Imaging strategies in the management of gastric cancer: current role and future potential of MRI

British journal of radiology, 2019-05, Vol.92 (1097), p.20181044-20181044

2019

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Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning

Nature communications, 2021-03, Vol.12 (1), p.1637-1637, Article 1637

2021

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High prognostic value of 18F-FDG PET for metastatic gastroenteropancreatic neuroendocrine tumors: a long-term evaluation

The Journal of nuclear medicine (1978), 2014-11, Vol.55 (11), p.1786-1790

2014

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Real-time artificial intelligence for detecting focal lesions and diagnosing neoplasms of the stomach by white-light endoscopy (with videos)

Gastrointestinal endoscopy, 2022-02, Vol.95 (2), p.269-280.e6

2022

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Identification of primary tumors in patients presenting with metastatic gastroenteropancreatic neuroendocrine tumors

Surgery, 2017-01, Vol.161 (1), p.272-279

2017

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Development and validation of an individualized nomogram to identify occult peritoneal metastasis in patients with advanced gastric cancer

Extramedullary Plasmacytoma

Peptide receptor radionuclide therapy in gastroenteropancreatic NEN G3: a multicenter cohort study

Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study

Molecular Imaging of Gastroenteropancreatic Neuroendocrine Tumors: Current Status and Future Directions

Impact of initial imaging with gallium‐68 dotatate PET/CT on diagnosis and management of patients with neuroendocrine tumors

68Ga-DOTATATE Compared with 111In-DTPA-Octreotide and Conventional Imaging for Pulmonary and Gastroenteropancreatic Neuroendocrine Tumors: A Systematic Review and Meta-Analysis

A National Cohort Study Evaluating the Association Between Short-term Outcomes and Long-term Survival After Esophageal and Gastric Cancer Surgery

Development and Validation of a Deep Learning CT Signature to Predict Survival and Chemotherapy Benefit in Gastric Cancer: A Multicenter, Retrospective Study

Development and validation of a CT-based radiomic nomogram for preoperative prediction of early recurrence in advanced gastric cancer

Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images

An update on the diagnosis of gastroenteropancreatic neuroendocrine neoplasms

Prognostic significance of CT-determined sarcopenia in patients with advanced gastric cancer

Dual Somatostatin Receptor/ 18 F-FDG PET/CT Imaging in Patients with Well-Differentiated, Grade 2 and 3 Gastroenteropancreatic Neuroendocrine Tumors

Noninvasive imaging evaluation of tumor immune microenvironment to predict outcomes in gastric cancer

Fluorescent‐guided surgery for sentinel lymph node detection in gastric cancer and carcinoembryonic antigen targeted fluorescent‐guided surgery in colorectal and pancreatic cancer

Effectiveness of the Korean National Cancer Screening Program in Reducing Gastric Cancer Mortality

Update version of the Japanese Guidelines for Gastric Cancer Screening

Larger Tumor Size and Elevated Serum Chromogranin A Levels Predict Metastatic Disease on DOTATATE Imaging in Patients with Gastroenteropancreatic Neuroendocrine Tumors

Endoscopic Screening in Asian Countries Is Associated With Reduced Gastric Cancer Mortality: A Meta-analysis and Systematic Review

Imaging strategies in the management of gastric cancer: current role and future potential of MRI

Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning

High prognostic value of 18F-FDG PET for metastatic gastroenteropancreatic neuroendocrine tumors: a long-term evaluation

Real-time artificial intelligence for detecting focal lesions and diagnosing neoplasms of the stomach by white-light endoscopy (with videos)

Identification of primary tumors in patients presenting with metastatic gastroenteropancreatic neuroendocrine tumors

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