AIMC Topic: Pancreas

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Transformer guided progressive fusion network for 3D pancreas and pancreatic mass segmentation.

Medical image analysis Mar 31, 2023
Pancreatic masses are diverse in type, often making their clinical management challenging. This study aims to address the task of various types of pancreatic mass segmentation and detection while accurately segmenting the pancreas. Although convoluti...
Image Processing, Computer-Assisted Pancreas Neural Networks, Computer Imaging, Three-Dimensional Humans
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The PD-ROBOSCORE: A difficulty score for robotic pancreatoduodenectomy.

Surgery Mar 25, 2023
BACKGROUND: Difficulty scoring systems are important for the safe, stepwise implementation of new procedures. We designed a retrospective observational study for building a difficulty score for robotic pancreatoduodenectomy.
Humans Retrospective Studies Postoperative Complications Robotics Robotic Surgical Procedures Female Male Pancreaticoduodenectomy Pancreas Pancreatic Fistula
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A primer on artificial intelligence in pancreatic imaging.

Diagnostic and interventional imaging Mar 24, 2023
Artificial Intelligence (AI) is set to transform medical imaging by leveraging the vast data contained in medical images. Deep learning and radiomics are the two main AI methods currently being applied within radiology. Deep learning uses a layered s...
Artificial Intelligence Humans Algorithms Radiology Diagnostic Imaging Pancreas
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Robotic Right Posterior Sectionectomy by Intrafascial Approach for Pancreas Neuroendocrine Liver Metastasis.

Annals of surgical oncology Mar 22, 2023
BACKGROUND: Liver resection is indicated for resectable liver metastases of neuroendocrine tumors. Minimally invasive liver resection offers decreased blood loss, reduces pain, reduces postoperative complications, and reduces time to functional recov...
Middle Aged Liver Neoplasms Pancreatic Neoplasms Humans Female Robotic Surgical Procedures Hepatectomy Pancreas Robotics Laparoscopy
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Comparison of different pancreatic stump management strategies during robot-assisted distal pancreatectomy.

The international journal of medical robotics + computer assisted surgery : MRCAS Oct 26, 2022
BACKGROUND: Postoperative pancreatic fistula (POPF) represents the most feared complication after distal pancreatectomy, and the possible role of robotic assistance in this setting is poorly investigated so far.
Suture Techniques Pancreatic Fistula Pancreas Pancreatectomy Postoperative Complications Robotics Humans Retrospective Studies
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Pancreatic Cancer Detection on CT Scans with Deep Learning: A Nationwide Population-based Study.

Radiology Sep 13, 2022
Background Approximately 40% of pancreatic tumors smaller than 2 cm are missed at abdominal CT. Purpose To develop and to validate a deep learning (DL)-based tool able to detect pancreatic cancer at CT. Materials and Methods Retrospectively collected...
Humans Deep Learning Pancreatic Neoplasms Pancreas Aged Sensitivity and Specificity Male Retrospective Studies Tomography, X-Ray Computed
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Impact of the transection plan on postoperative pancreatic fistulas occurring after robot-assisted distal pancreatectomy for nonmalignant pancreatic neoplasms.

Surgical endoscopy Aug 8, 2022
OBJECTIVES: Postoperative pancreatic fistula (POPF) is the main complication of distal pancreatectomy (DP) and affects the prognosis of patients. The impact of several clinical factors mentioned in recent studies on POPF remains controversial. This s...
Robotics Pancreas Pancreatic Fistula Pancreatectomy China Pancreatic Neoplasms Risk Factors Humans Postoperative Complications Retrospective Studies
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Multiscale unsupervised domain adaptation for automatic pancreas segmentation in CT volumes using adversarial learning.

Medical physics Jul 27, 2022
PURPOSE: Computer-aided automatic pancreas segmentation is essential for early diagnosis and treatment of pancreatic diseases. However, the annotation of pancreas images requires professional doctors and considerable expenditure. Due to imaging diffe...
Tomography, X-Ray Computed Pancreas Deep Learning Image Processing, Computer-Assisted
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Graph-enhanced U-Net for semi-supervised segmentation of pancreas from abdomen CT scan.

Physics in medicine and biology Jul 27, 2022
. Accurate segmentation of the pancreas from abdomen CT scans is highly desired for diagnosis and treatment follow-up of pancreatic diseases. However, the task is challenged by large anatomical variations, low soft-tissue contrast, and the difficulty...
Abdomen Deep Learning Neural Networks, Computer Pancreas Image Processing, Computer-Assisted Tomography, X-Ray Computed
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Identifying endotypes of individuals after an attack of pancreatitis based on unsupervised machine learning of multiplex cytokine profiles.

Translational research : the journal of laboratory and clinical medicine Jul 18, 2022
After an attack of pancreatitis, individuals may develop metabolic sequelae (eg, new-onset diabetes) and/or pancreatic cancer. These new-onset morbidities are, at least in part, driven by low-grade inflammation. The aim was to study the profiles of c...
Pancreatitis Unsupervised Machine Learning Pancreas Humans Cytokines Inflammation
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