Kaohsiung J Med Sci
December 2022
Esophageal neuroendocrine neoplasms (NEN) are extremely rare and little is known about their risk factors. To identify the potential risk factors, we evaluated whether the history of substance use, including alcohol, tobacco and areca nut consumption was associated with esophageal NEN. Forty-one esophageal NEN patients diagnosed between 2002 and 2019 from 17 hospital in Taiwan were enrolled as the cases.
View Article and Find Full Text PDFThis study uses hyperspectral imaging (HSI) and a deep learning diagnosis model that can identify the stage of esophageal cancer and mark the locations. This model simulates the spectrum data from the image using an algorithm developed in this study which is combined with deep learning for the classification and diagnosis of esophageal cancer using a single-shot multibox detector (SSD)-based identification system. Some 155 white-light endoscopic images and 153 narrow-band endoscopic images of esophageal cancer were used to evaluate the prediction model.
View Article and Find Full Text PDFBackground & Aims: Esophageal neuroendocrine tumors (NET) are very rare and mostly carcinomic, carrying poor prognosis. There is still no guideline or consensus on the treatment for esophageal NET.
Methods: Patients with histologically-proven esophageal neuroendocrine tumor were recruited from 9 hospitals in Taiwan between 2002 and 2017.
Gastric neuroendocrine tumors (GNETs) are a heterogeneous group of neoplasm with varying biological characteristics. This study aimed to investigate the clinical features and outcomes of GNET patients after endoscopic diagnosis and treatment in a multicenter registry. Patients with GNETs confirmed histologically were recruited from 17 hospitals between January 2010 and April 2016 in Taiwan.
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