AIMC Topic: Pancreatic Neoplasms
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ASO Author Reflections: Open/Robotic-Splenic Vessels Preserving Distal Pancreatectomy can be a Good Option for Post-Distal Gastrectomy Patients.
Annals of surgical oncology
Jul 9, 2023
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.
Performance comparison between multi-center histopathology datasets of a weakly-supervised deep learning model for pancreatic ductal adenocarcinoma detection.
Cancer imaging : the official publication of the International Cancer Imaging Society
Jun 26, 2023
BACKGROUND: Pancreatic ductal carcinoma patients have a really poor prognosis given its difficult early detection and the lack of early symptoms. Digital pathology is routinely used by pathologists to diagnose the disease. However, visually inspectin...
Diagnostic ability of deep learning in detection of pancreatic tumour.
Scientific reports
Jun 15, 2023
Pancreatic cancer is associated with higher mortality rates due to insufficient diagnosis techniques, often diagnosed at an advanced stage when effective treatment is no longer possible. Therefore, automated systems that can detect cancer early are c...
Jejunum Patch Technique During Robot-Assisted Central Pancreatectomy: A Lesson from Open Procedure Experience.
Annals of surgical oncology
Jun 14, 2023
BACKGROUND: Central pancreatectomy (CP) has been established as the most common type of parenchyma-sparing pancreatectomy; however, CP is associated with higher morbidity and a higher pancreatic fistula (PF) rate than distal pancreatectomy or pancrea...
Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic adenocarcinoma.
Nature communications
Jun 13, 2023
Two tumor (Classical/Basal) and stroma (Inactive/active) subtypes of Pancreatic adenocarcinoma (PDAC) with prognostic and theragnostic implications have been described. These molecular subtypes were defined by RNAseq, a costly technique sensitive to ...
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...
Short-term outcomes between robot-assisted and open pancreaticoduodenectomy in patients with high body mass index: A propensity score matched study.
Cancer medicine
May 31, 2023
BACKGROUND: High body mass index was considered as a risk factor for minimally invasive surgery. The short-term outcomes of robot-assisted pancreaticoduodenectomy (RPD) remain controversial. This study aims to investigate the feasibility and advantag...
Predicting the survival of patients with pancreatic neuroendocrine neoplasms using deep learning: A study based on Surveillance, Epidemiology, and End Results database.
Cancer medicine
May 11, 2023
BACKGROUND: The study aims to evaluate the performance of three advanced machine learning algorithms and a traditional Cox proportional hazard (CoxPH) model in predicting the overall survival (OS) of patients with pancreatic neuroendocrine neoplasms ...
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