Gastric ectopic pancreas with a pseudocyst.

Ectopic pancreas (EP) is defined as pancreatic tissue that lacks anatomical or vascular connections to the normal pancreas. EP is generally asymptomatic and is detected incidentally during endoscopy. However, due to pseudocyst formation, inflammation, or malignant transformation, it may cause non-specific gastrointestinal symptoms, such as abdominal pain, abdominal discomfort, nausea, vomiting, and bleeding. Pseudocyst formation in EP may result from the retention of exocrine secretions in the absence of connections between the glandular epithelium and gastric lumen. We herein report a case of EP with a pseudocyst associated with epigastric pain. EP with a pseudocyst, although rare, needs to be considered in a differential diagnosis of cystic lesions of the stomach.

Successful prevention of stenosis after circumferential endoscopic resection of esophageal cancer.

Circumferential resection of a >5-cm longitudinal mucosal defect following esophageal endoscopic submucosal dissection (ESD) is a risk factor for refractory stenosis. Circumferential ESD was performed in 3 patients with 64, 69, and 70 mm longitudinal mucosal defects. A local steroid injection was used to treat the postoperative ulcer, followed by an oral steroid. In all three cases, the ulcer healed without the need for endoscopic dilation. A combination of local injection and oral steroids effectively prevented esophageal stenosis in patients with high-risk stenosis after ESD.

Novel endoscopic approaches using the endocytoscopy for the target biopsy in esophageal eosinophilia.

BACKGROUND AND AIMS: Multiple biopsies are recommended for the diagnosis of eosinophilic esophagitis (EoE) because inflammatory changes are frequently patchy. Reports on EoE using endocytoscopy (ECS) are limited. This present study aimed to assess if diagnostic yield improves by adding ECS on conventional white light imaging (WLI) in patients with esophageal eosinophilia (EE). METHODS: A total of 284 biopsy specimens from 71 patients with a known diagnosis of EE were enrolled and divided into the WLI group (156 specimens) or the ECS group (128 specimens). Four biopsies from 5 and 10 cm proximal to the esophagogastric junction were taken from each patient. In the ECS group, the biopsy was performed where bilobed nuclei were observed. The biopsy sensitivity for EE, eosinophil count of a single specimen and the biopsy sensitivity of each endoscopic finding were evaluated between both groups. RESULTS: The sensitivity of a single biopsy specimen was higher in the ECS group than that of the WLI group (62.5 vs. 41.7%, P < 0.001). In addition, the median eosinophil count in the ECS group was significantly higher [19 vs. 6.5/high-power field (HPF), P < 0.001]. For each endoscopic finding, ECS-based biopsy had higher sensitivity than that of WLI in the diagnosis of edema (33.1 vs. 11.3%, P = 0.007) and linear furrows (75.8 vs. 52%, P = 0.005). CONCLUSION: This study showed that adding ECS to WLI improved the biopsy sensitivity and eosinophil detection in patients with EE.

Artificial intelligence-based diagnosis of upper gastrointestinal subepithelial lesions on endoscopic ultrasonography images.

BACKGROUND: Endoscopic ultrasonography (EUS) is useful for the differential diagnosis of subepithelial lesions (SELs); however, not all of them are easy to distinguish. Gastrointestinal stromal tumors (GISTs) are the commonest SELs, are considered potentially malignant, and differentiating them from benign SELs is important. Artificial intelligence (AI) using deep learning has developed remarkably in the medical field. This study aimed to investigate the efficacy of an AI system for classifying SELs on EUS images. METHODS: EUS images of pathologically confirmed upper gastrointestinal SELs (GIST, leiomyoma, schwannoma, neuroendocrine tumor [NET], and ectopic pancreas) were collected from 12 hospitals. These images were divided into development and test datasets in the ratio of 4:1 using random sampling; the development dataset was divided into training and validation datasets. The same test dataset was diagnosed by two experts and two non-experts. RESULTS: A total of 16,110 images were collected from 631 cases for the development and test datasets. The accuracy of the AI system for the five-category classification (GIST, leiomyoma, schwannoma, NET, and ectopic pancreas) was 86.1%, which was significantly higher than that of all endoscopists. The sensitivity, specificity, and accuracy of the AI system for differentiating GISTs from non-GISTs were 98.8%, 67.6%, and 89.3%, respectively. Its sensitivity and accuracy were significantly higher than those of all the endoscopists. CONCLUSION: The AI system, classifying SELs, showed higher diagnostic performance than that of the experts and may assist in improving the diagnosis of SELs in clinical practice.

Collision Tumors of Gastric Adenocarcinoma and Mucosa-associated Lymphoid Tissue Lymphoma.

A 65-year-old woman with a history of treatment for splenic marginal zone B-cell lymphoma and gastric mucosa-associated lymphoid tissue (MALT) lymphoma underwent esophagogastroduodenoscopy. A reddish elevated lesion was found in the fundus of the stomach. On image-enhanced endoscopy, several findings, such as glandular structures of varying sizes suggesting well-differentiated adenocarcinoma, pruned blood vessels, and dilated blood vessels in deeper mucosa suggesting MALT lymphoma, were observed. The final pathological diagnosis after surgical resection was collision tumors of well-differentiated adenocarcinoma and MALT lymphoma. The features of both tumors could be observed simultaneously with image-enhanced endoscopy.

Alternative poly(A) site-selection regulates the production of alternatively spliced vesl-1/homer1 isoforms that encode postsynaptic scaffolding proteins.

The vesl-1/homer1 gene encodes a scaffold protein that interacts with several receptors to modulate synaptic functions. The gene also encodes two shorter forms that counteract the functions of the long form of Vesl. Expression of the shorter forms is driven by neural activities such as long-term potentiation. Here we analyzed the mechanism regulating vesl-1 alternative splicing. Each functional poly(A) site was in a different part of the 3'-terminal exon, with promoter-proximal and promoter-distal sites at the end of exons corresponding to the short and long form Vesl-1, respectively. 3'-End-processing at proximal poly(A) site, specifically at the vesl-1M poly(A) site, was enhanced by extracellular stimuli, thereby switching transcription termination from promoter-distal to -proximal poly(A) site. This switch was not specifically coupled to the vesl-1 promoter and was independent of de novo protein synthesis. Analysis of transcripts from mini-genes that mimic the structure of endogenous vesl-1 revealed that the vesl-1M poly(A) region plays a crucial role in switching to the alternative pre-mRNA splicing that is triggered by extracellular stimuli. Therefore, a 3'-end-processing event regulates the neural activity-dependent alternative splicing of vesl-1. This is the first report of a gene in which alternative poly(A) site-selection regulates alternative splicing in a protein synthesis-independent manner.