Background: The efficacy of the 14-day esomeprazole-amoxicillin (EA) dual therapy in eradicating () has been widely discussed previously. Vonoprazan, a novel potassium-competitive acid blocker, presents rapid, potent, and long-lasting acid inhibitory effects compared to esomeprazole. However, there is currently a scarcity of direct comparisons between the 10-day vonoprazan-amoxicillin (VA) and the 14-day EA dual therapy for eradication.
View Article and Find Full Text PDFA 56-year-old male patient was diagnosed with a submucosal tumor in the fundus of the stomach. The conventional operation method is endoscopic submucosal dissection. We present a case of rapid tumor resection without employing traditional endoscopic submucosal dissection instruments such as a mucotomy knife and endoscopic injection needle, resulting in substantial cost savings for the patients.
View Article and Find Full Text PDFLin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi
June 2024
To investigate the criteria for selecting surgical approaches for frontal and ethmoid sinus osteomas of different locations and sizes on CT imaging. Using sagittal and coronal CT images, the following lines were delineated: the F-line(a horizontal line passing nasofrontal beak), the M-line(a vertical line passing paries medialis orbitae), and the P-line(a vertical line passing the center of the pupil). Classification of frontal and ethmoid sinus osteomas was based on their relationship with these lines.
View Article and Find Full Text PDFObjectives: Accurate endoscopic optical prediction of the depth of cancer invasion is critical for guiding an optimal treatment approach of large sessile colorectal polyps but was hindered by insufficient endoscopists expertise and inter-observer variability. We aimed to construct a clinically applicable artificial intelligence (AI) system for the identification of presence of cancer invasion in large sessile colorectal polyps.
Methods: A deep learning-based colorectal cancer invasion calculation (CCIC) system was constructed.
Background And Aims: The optical diagnosis of colorectal cancer (CRC) invasion depth with white light (WL) and image-enhanced endoscopy (IEE) remains challenging. We aimed to construct and validate a 2-modal deep learning-based system, incorporated with both WL and IEE images (named Endo-CRC) in estimating the invasion depth of CRC.
Methods: Samples were retrospectively obtained from 3 hospitals in China.
Background And Aims: White-light endoscopy (WLE) is the most pivotal tool to detect gastric cancer in an early stage. However, the skill among endoscopists varies greatly. Here, we aim to develop a deep learning-based system named ENDOANGEL-LD (lesion detection) to assist in detecting all focal gastric lesions and predicting neoplasms by WLE.
View Article and Find Full Text PDFBackground: Inadequate bowel preparation is associated with a decrease in adenoma detection rate (ADR). A deep learning-based bowel preparation assessment system based on the Boston bowel preparation scale (BBPS) has been previously established to calculate the automatic BBPS (e-BBPS) score (ranging 0-20). The aims of this study were to investigate whether there was a statistically inverse relationship between the e-BBPS score and the ADR, and to determine the threshold of e-BBPS score for adequate bowel preparation in colonoscopy screening.
View Article and Find Full Text PDFBackground: Esophagogastroduodenoscopy (EGD) is a prerequisite for detecting upper gastrointestinal lesions especially early gastric cancer (EGC). An artificial intelligence system has been shown to monitor blind spots during EGD. In this study, we updated the system (ENDOANGEL), verified its effectiveness in improving endoscopy quality, and pretested its performance in detecting EGC in a multicenter randomized controlled trial.
View Article and Find Full Text PDFBackground: Accurate delineation of cancer margins is critical for endoscopic curative resection. This study aimed to train and validate real-time fully convolutional networks for delineating the resection margin of early gastric cancer (EGC) under indigo carmine chromoendoscopy (CE) or white light endoscopy (WLE), and evaluated its performance and that of magnifying endoscopy with narrow-band imaging (ME-NBI).
Methods: We collected CE and WLE images of EGC lesions to train fully convolutional networks ENDOANGEL.
Drug resistance inhibits the efficacy of doxorubicin in gastric cancer. Phosphatidylinositol 3,4,5-trisphosphate RAC exchanger 2a (P-REX2a) activates the phosphatidylinositol-3-kinase (PI3K)/protein kinase B (Akt) signaling pathway by binding to and inactivating phosphatase and tensin homolog (PTEN), which functions as a tumor promoter in a number of types of cancer. However, there is no research concerning the association between P-REX2a expression and drug resistance in gastric cancer.
View Article and Find Full Text PDFWien Klin Wochenschr
January 2017
Objectives: To summarize and appraise the available literature regarding the use of the C-urea breath test in the diagnosis of Helicobacter pylori infections in adult patients with dyspepsia and to calculate pooled diagnostic accuracy measures.
Methods: We systematically searched the PubMed, EMBASE, Cochrane Library, Chinese Journals Full-text (CNKI) and CBMDisc databases to identify published data regarding the sensitivity, specificity, and other measures of diagnostic accuracy of the C-urea breath test in the diagnosis of Helicobacter pylori infections in adult patients with dyspeptic symptoms. Risk of bias was assessed using the QUADAS (Quality Assessment of Diagnostic Accuracy Studies)-2 tool.