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| http://dx.doi.org/10.4103/EUS-D-21-00220 | DOI Listing |
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Deep learning segmentation architectures for automatic detection of pancreatic ductal adenocarcinoma in EUS-guided fine-needle biopsy samples based on whole-slide imaging.
Endosc Ultrasound
December 2024
Department of Gastroenterology, Ponderas Academic Hospital, Bucharest, Romania.
Background: EUS-guided fine-needle biopsy is the procedure of choice for the diagnosis of pancreatic ductal adenocarcinoma (PDAC). Nevertheless, the samples obtained are small and require expertise in pathology, whereas the diagnosis is difficult in view of the scarcity of malignant cells and the important desmoplastic reaction of these tumors. With the help of artificial intelligence, the deep learning architectures produce a fast, accurate, and automated approach for PDAC image segmentation based on whole-slide imaging.
View Article and Find Full Text PDFA prospective comparative trial to determine the optimal number of EUS-guided fineneedle passes for successful organoid creation in pancreatic ductal adenocarcinoma.
Endosc Ultrasound
December 2024
Center of Excellence for Stem Cell and Cell Therapy, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Introduction: EUS-guided fine-needle organoid creation (EUS-FNO) from pancreatic cancer (PC) has been increasingly important for precision medicine. The cost for pancreatic organoid creation is substantial and close to 2000 USD/specimen in our institution, and the specimen has to be processed immediately after tissue acquisition so the more passes and specimens, the higher cost of organoid creation will incur. To date, no prospective comparison trial has answered how many needle passes of EUS-FNO needed for a successful organoid creation.
View Article and Find Full Text PDFEUS-guided fine-needle biopsy fine-needle aspiration for histopathological evidence for type 1 autoimmune pancreatitis: A single-center retrospective study in China.
Endosc Ultrasound
December 2024
Department of Gastroenterology, National Clinical Research Center for Digestive Diseases, Changhai Hospital; and National Key Laboratory of Immunity and Inflammation, Naval Medical University, Shanghai, China.
Background And Objectives: EUS is recommended for guiding pancreatic tissue acquisition in suspected autoimmune pancreatitis (AIP) cases. However, there is a lack of comparative research on the effectiveness between EUS-guided fine-needle aspiration (EUS-FNA) and EUS-guided fine-needle biopsy (EUS-FNB) for diagnosing AIP in China. This study aimed to evaluate the diagnostic accuracy of EUS-guided tissue acquisition (EUS-TA) specifically for type 1 AIP.
View Article and Find Full Text PDFOptimal tissue acquisition method for pancreatic mass.
Dig Endosc
December 2024
Department of Internal Medicine and Liver Research Institute, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Pancreatic masses pose a diagnostic difficulty due to the technical complexities related to tissue acquisition. Endoscopic ultrasound (EUS)-guided tissue acquisition has transformed the field by allowing access to pancreatic lesions through fine-needle and biopsy. However, diagnostic accuracy differs based on tumor characteristics and procedural factors.
View Article and Find Full Text PDFEndoscopic ultrasound-guided fine-needle biopsy needle can facilitate histological diagnosis of type 1 autoimmune pancreatitis.
J Hepatobiliary Pancreat Sci
December 2024
Department of Gastroenterology and Hepatology, Yokohama City University Hospital, Yokohama, Kanagawa, Japan.
Background: The choice between 22-gauge endoscopic ultrasound-guided fine-needle biopsy (EUS-FNB) and EUS-guided fine-needle aspiration (EUS-FNA) for histological diagnosis of type 1 autoimmune pancreatitis (AIP) is unclear. We retrospectively examined the detection rate of histological findings for AIP using EUS-FNA/FNB.
Methods: Patients diagnosed with type 1 AIP using EUS-FNB (Franseen needle) or EUS-FNA (conventional needle) with 22-gauge needles at our hospital between 2012 and 2023 were included in this study.
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