AIMC Topic: Pancreas
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A review of deep learning and radiomics approaches for pancreatic cancer diagnosis from medical imaging.
Current opinion in gastroenterology
Jul 18, 2023
PURPOSE OF REVIEW: Early and accurate diagnosis of pancreatic cancer is crucial for improving patient outcomes, and artificial intelligence (AI) algorithms have the potential to play a vital role in computer-aided diagnosis of pancreatic cancer. In t...
Robotic distal pancreatectomy using a docking-free system (the hinotori™ Surgical Robot System).
Surgical oncology
Jul 11, 2023
BACKGROUND: Although robotic surgery has rapidly spread in pancreatectomy [1], the procedure is performed by the da Vinci™ Surgical System (Intuitive Surgical Inc., CA), the most common surgical robot in the world [2]. We herein present our first exp...
Deep-learning image reconstruction for 80-kVp pancreatic CT protocol: Comparison of image quality and pancreatic ductal adenocarcinoma visibility with hybrid-iterative reconstruction.
European journal of radiology
Jul 4, 2023
PURPOSE: To evaluate the image quality and visibility of pancreatic ductal adenocarcinoma (PDAC) in 80-kVp pancreatic CT protocol and compare them between hybrid-iterative reconstruction (IR) and deep-learning image reconstruction (DLIR) algorithms.
The future of robotic pancreaticoduodenal surgery: a bibliometric analysis.
Journal of robotic surgery
Jun 28, 2023
OBJECTIVES: Robotic pancreaticoduodenectomy (RPD) has garnered significant research attention in the last decade. However, no bibliometric studies have been conducted on this field yet. Therefore, the aim of this study is to provide an up-to-date ana...
Automatic Detection of Pancreatic Lesions and Main Pancreatic Duct Dilatation on Portal Venous CT Scans Using Deep Learning.
Investigative radiology
Jun 8, 2023
OBJECTIVES: This study proposes and evaluates a deep learning method to detect pancreatic neoplasms and to identify main pancreatic duct (MPD) dilatation on portal venous computed tomography scans.
Learning Curves in Establishing a New Minimally Invasive Pancreas Program.
The American surgeon
Jun 6, 2023
INTRODUCTION: Robotic pancreaticoduodenectomy (rPD) is a complex operation with a reported learning curve of 80 cases. Two recent graduates of a formal robotic complex general surgical oncology training program have been performing rPD at our institu...
The efficacy of low-dose CT with deep learning image reconstruction in the surveillance of incidentally detected pancreatic cystic lesions.
Abdominal radiology (New York)
May 19, 2023
PURPOSE: To evaluate the efficacy of low-dose CT (LDCT) with deep learning image reconstruction (DLIR) for the surveillance of pancreatic cystic lesions (PCLs) compared with standard-dose CT (SDCT) with adaptive statistical iterative reconstruction (...
Robotic instruments outside the surgical field can cause problems: A case of critical bleeding during robotic distal pancreatectomy.
Asian journal of endoscopic surgery
May 7, 2023
Robotic surgery has technical advantages including high optical magnification and articulation of forceps. However, the surgical field tends to be narrow due to the high magnification, and the forceps have no tactile sensation. A case of severe intra...
Artificial intelligence assisted whole organ pancreatic fat estimation on magnetic resonance imaging and correlation with pancreas attenuation on computed tomography.
Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.]
Apr 26, 2023
BACKGROUND: Fatty pancreas is associated with inflammatory and neoplastic pancreatic diseases. Magnetic resonance imaging (MRI) is the diagnostic modality of choice for measuring pancreatic fat. Measurements typically use regions of interest limited ...
Endoscopic ultrasound diagnosis system based on deep learning in images capture and segmentation training of solid pancreatic masses.
Medical physics
Apr 10, 2023
BACKGROUND: Early detection of solid pancreatic masses through contrast-enhanced harmonic endoscopic ultrasound (CH-EUS) is important. But CH-EUS is difficult to learn.
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