AIMC Topic: Stomach Neoplasms

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[Robot-assisted Total Gastrectomy with D2 Lymphadenectomy and Intracorporal Reconstruction].

Zentralblatt fur Chirurgie
Robot-assisted total gastrectomy for gastric cancer is a demanding operation that is increasingly being performed, not only in Asia but also in specialised centres in Europe. The minimally invasive resection - and above all the lymphadenectomy and th...

Quantifying the cell morphology and predicting biological behavior of signet ring cell carcinoma using deep learning.

Scientific reports
Signet ring cell carcinoma (SRCC) is a malignant tumor of the digestive system. This tumor has long been considered to be poorly differentiated and highly invasive because it has a higher rate of metastasis than well-differentiated adenocarcinoma. Bu...

DeepTI: A deep learning-based framework decoding tumor-immune interactions for precision immunotherapy in oncology.

SLAS discovery : advancing life sciences R & D
BACKGROUND: Increasing evidence suggests the immunomodulatory potential of genes in oncology. But the identification of immune attributes of genes is costly and time-consuming, which leads to an urgent demand to develop a prediction model.

Unsupervised learning of cross-modal mappings in multi-omics data for survival stratification of gastric cancer.

Future oncology (London, England)
This study presents a survival stratification model based on multi-omics integration using bidirectional deep neural networks (BiDNNs) in gastric cancer. Based on the survival-related representation features yielded by BiDNNs through integrating tr...

Alimentary tract obstruction attributed to use of barbed suture for double tract reconstruction after robot-assisted proximal gastrectomy: a case report.

BMC surgery
BACKGROUND: Anastomotic stenosis following esophagojejunostomy reconstruction by the overlap method with absorbable barbed sutures occurs only rarely in patients who have undergone laparoscopic surgery. We report anastomotic stenosis by the overlap m...

Application of convolutional neural networks for evaluating the depth of invasion of early gastric cancer based on endoscopic images.

Journal of gastroenterology and hepatology
BACKGROUND AND AIM: Recently, artificial intelligence (AI) has been used in endoscopic examination and is expected to help in endoscopic diagnosis. We evaluated the feasibility of AI using convolutional neural network (CNN) systems for evaluating the...

Combination of artificial intelligence-based endoscopy and miR148a methylation for gastric indefinite dysplasia diagnosis.

Journal of clinical laboratory analysis
BACKGROUND AND AIM: Gastrointestinal endoscopy and biopsy-based pathological findings are needed to diagnose early gastric cancer. However, the information of biopsy specimen is limited because of the topical procedure; therefore, pathology doctors s...

Detecting immunotherapy-sensitive subtype in gastric cancer using histologic image-based deep learning.

Scientific reports
Immune checkpoint inhibitor (ICI) therapy is widely used but effective only in a subset of gastric cancers. Epstein-Barr virus (EBV)-positive and microsatellite instability (MSI) / mismatch repair deficient (dMMR) tumors have been reported to be high...