AIMC Topic: Pancreatic Neoplasms

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Robotic versus open pancreaticoduodenectomy in elderly patients: a propensity score-matched analysis.

HPB : the official journal of the International Hepato Pancreato Biliary Association
BACKGROUND: Pancreaticoduodenectomy (PD) is complex procedure with high morbidity in the elderly. This retrospective study aimed to compare post-operative outcomes in patients ≥75 years of age who underwent robot-assisted (RA)PD and open PD.

Spatio-temporally smoothed deep survival neural network.

Journal of biomedical informatics
The analysis of registry data has important implications for cancer monitoring, control, and treatment. In such analysis, (semi)parametric models, such as the Cox Proportional Hazards model, have been routinely adopted. In recent years, deep neural n...

Classification prediction of pancreatic cystic neoplasms based on radiomics deep learning models.

BMC cancer
BACKGROUND: Preoperative prediction of pancreatic cystic neoplasm (PCN) differentiation has significant value for the implementation of personalized diagnosis and treatment plans. This study aimed to build radiomics deep learning (DL) models using co...

Artificial intelligence to guide precision anticancer therapy with multitargeted kinase inhibitors.

BMC cancer
BACKGROUND: Vast amounts of rapidly accumulating biological data related to cancer and a remarkable progress in the field of artificial intelligence (AI) have paved the way for precision oncology. Our recent contribution to this area of research is C...

A multidomain fusion model of radiomics and deep learning to discriminate between PDAC and AIP based on F-FDG PET/CT images.

Japanese journal of radiology
PURPOSE: To explore a multidomain fusion model of radiomics and deep learning features based on F-fluorodeoxyglucose positron emission tomography/computed tomography (F-FDG PET/CT) images to distinguish pancreatic ductal adenocarcinoma (PDAC) and aut...

Effect of Operative Time on Outcomes of Minimally Invasive Versus Open Pancreatoduodenectomy.

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract
OBJECTIVE: To evaluate how operative time interacts with outcomes among different approaches to pancreaticoduodenectomy (PD). Minimally invasive PDs (MIPD), which include laparoscopic (LPD) and robotic (RPD) approaches, are increasingly performed in ...

Accurate prediction of histological grading of intraductal papillary mucinous neoplasia using deep learning.

Endoscopy
BACKGROUND: Risk stratification and recommendation for surgery for intraductal papillary mucinous neoplasm (IPMN) are currently based on consensus guidelines. Risk stratification from presurgery histology is only potentially decisive owing to the low...

Three-dimensional simulation of the pancreatic parenchyma, pancreatic duct and vascular arrangement in pancreatic surgery using a deep learning algorithm.

PloS one
Three-dimensional surgical simulation, already in use for hepatic surgery, can be used in pancreatic surgery. However, some problems still need to be overcome to achieve more precise pancreatic surgical simulation. The present study evaluates the per...