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Stomach Neoplasms

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Deep neural network-assisted computed tomography diagnosis of metastatic lymph nodes from gastric cancer.

Chinese medical journal
BACKGROUND: Artificial intelligence-assisted image recognition technology is currently able to detect the target area of an image and fetch information to make classifications according to target features. This study aimed to use deep neural networks...

[Short-Term Outcomes of Laparoscopic-Assisted Total Gastrectomy Using the Endoscopic Purse-String Suture Instrument ENDO-PSI].

Gan to kagaku ryoho. Cancer & chemotherapy
Laparoscopic-assisted total gastrectomy(LATG)has several complications early during the introduction of the procedure, so a careful approach is necessary. In this study, we evaluated short-term outcomes after LATG at our hospital. From 2014 to 2017, ...

[A Case of Disseminated Carcinomatosis of the Bone Marrow Developing 15 Months after Gastrectomy].

Gan to kagaku ryoho. Cancer & chemotherapy
The patient was a 60-year-old man who underwent distal gastrectomy for gastric cancer. The pathological diagnosis was Stage ⅡB. He received adjuvant chemotherapy(capecitabine plus oxaliplatin: CapeOX)for 6months and the postoperative course was uneve...

[Laparoscopic Gastro-Jejunostomy Using the Overlap Method after Subtotal Gastrectomy for Upper Gastric Cancer].

Gan to kagaku ryoho. Cancer & chemotherapy
BACKGROUND: Due to an aging society, patients with gastric cancer are also getting older. Although total gastrectomy should be avoided for elderly patients, laparoscopic subtotal gastrectomy(LSTG)is a technically demanding procedure. Here, we present...

[Clinical application of convolutional neural network in pathological diagnosis of metastatic lymph nodes of gastric cancer].

Zhonghua wai ke za zhi [Chinese journal of surgery]
To examine the value and clinical application of convolutional neural network in pathological diagnosis of metastatic lymph nodes of gastric cancer. Totally 124 patients with advanced gastric cancer who underwent radical gastrectomy plus D2 lymphad...

Application of preoperative artificial neural network based on blood biomarkers and clinicopathological parameters for predicting long-term survival of patients with gastric cancer.

World journal of gastroenterology
BACKGROUND: Because of the powerful abilities of self-learning and handling complex biological information, artificial neural network (ANN) models have been widely applied to disease diagnosis, imaging analysis, and prognosis prediction. However, the...

Objective Assessment of the Utility of Chromoendoscopy with a Support Vector Machine.

Journal of gastrointestinal cancer
PURPOSE: The utility of chromoendoscopy for early gastric cancer (GC) was determined by machine learning using data of color differences.

Overview of Deep Learning in Gastrointestinal Endoscopy.

Gut and liver
Artificial intelligence is likely to perform several roles currently performed by humans, and the adoption of artificial intelligence-based medicine in gastroenterology practice is expected in the near future. Medical image-based diagnoses, such as p...

[CA19-9 Producing Gastric Cancer with Early Recurrence of Multiple Colon Metastases Following Gastrectomy-A Case Report].

Gan to kagaku ryoho. Cancer & chemotherapy
A 90-year-old male underwent total gastrectomy for gastric cancer 10 months earlier. The cancer was pathologically diagnosed as Stage ⅢA. Preoperative serum CA19-9 level was as high as 1,326 U/mL, but quickly decreased after surgery. Although the ser...