AIMC Topic: Carcinoma, Pancreatic Ductal

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

Endoscopy Nov 2, 2022
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...
Humans Retrospective Studies Carcinoma, Pancreatic Ductal Adenocarcinoma, Mucinous Pancreatic Intraductal Neoplasms Deep Learning Pilot Projects Pancreatic Neoplasms
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Preoperative data-based deep learning model for predicting postoperative survival in pancreatic cancer patients.

International journal of surgery (London, England) Aug 29, 2022
BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) has a poor prognosis even after curative resection. A deep learning-based stratification of postoperative survival in the preoperative setting may aid the treatment decisions for improving prognosis...
Carcinoma, Pancreatic Ductal Deep Learning Pancreatic Neoplasms Humans Prognosis Retrospective Studies
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Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer: A Retrospective Multicenter Study.

Annals of surgery Jul 4, 2022
OBJECTIVE: To develop an imaging-derived biomarker for prediction of overall survival (OS) of pancreatic cancer by analyzing preoperative multiphase contrast-enhanced computed topography (CECT) using deep learning.
Deep Learning Humans Pancreatic Neoplasms Prognosis Carcinoma, Pancreatic Ductal Retrospective Studies
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Artificial intelligence using deep learning analysis of endoscopic ultrasonography images for the differential diagnosis of pancreatic masses.

Endoscopy Jun 10, 2022
BACKGROUND : There are several types of pancreatic mass, so it is important to distinguish between them before treatment. Artificial intelligence (AI) is a mathematical technique that automates learning and recognition of data patterns. This study ai...
Humans Diagnosis, Differential Pancreatic Neoplasms Carcinoma, Pancreatic Ductal Artificial Intelligence Retrospective Studies Deep Learning Endosonography Pancreatitis, Chronic
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Deep learning radiomics based on contrast-enhanced ultrasound images for assisted diagnosis of pancreatic ductal adenocarcinoma and chronic pancreatitis.

BMC medicine Mar 2, 2022
BACKGROUND: Accurate and non-invasive diagnosis of pancreatic ductal adenocarcinoma (PDAC) and chronic pancreatitis (CP) can avoid unnecessary puncture and surgery. This study aimed to develop a deep learning radiomics (DLR) model based on contrast-e...
Carcinoma, Pancreatic Ductal Pancreatitis, Chronic Deep Learning Pancreatic Neoplasms Humans Retrospective Studies
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Segmentation of pancreatic ductal adenocarcinoma (PDAC) and surrounding vessels in CT images using deep convolutional neural networks and texture descriptors.

Scientific reports Feb 23, 2022
Fully automated and volumetric segmentation of critical tumors may play a crucial role in diagnosis and surgical planning. One of the most challenging tumor segmentation tasks is localization of pancreatic ductal adenocarcinoma (PDAC). Exclusive appl...
Deep Learning Imaging, Three-Dimensional Pancreatic Neoplasms Carcinoma, Pancreatic Ductal Neural Networks, Computer Tomography, X-Ray Computed Diagnosis, Computer-Assisted Humans
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Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma.

European journal of nuclear medicine and molecular imaging Oct 15, 2021
PURPOSE: Diagnosis of lymph node metastasis (LNM) is critical for patients with pancreatic ductal adenocarcinoma (PDAC). We aimed to build deep learning radiomics (DLR) models of dual-energy computed tomography (DECT) to classify LNM status of PDAC a...
Carcinoma, Pancreatic Ductal Humans Retrospective Studies Tomography, X-Ray Computed Deep Learning Lymphatic Metastasis Pancreatic Neoplasms
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Pancreatic Cancer Survival Prediction: A Survey of the State-of-the-Art.

Computational and mathematical methods in medicine Sep 30, 2021
Cancer early detection increases the chances of survival. Some cancer types, like pancreatic cancer, are challenging to diagnose or detect early, and the stages have a fast progression rate. This paper presents the state-of-the-art techniques used in...
Carcinoma, Pancreatic Ductal Survival Analysis Early Detection of Cancer Survival Rate Pancreatic Neoplasms Deep Learning Machine Learning Surveys and Questionnaires Algorithms Humans Computational Biology Prognosis Support Vector Machine Neural Networks, Computer
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Deep learning-based gene selection in comprehensive gene analysis in pancreatic cancer.

Scientific reports Aug 13, 2021
The selection of genes that are important for obtaining gene expression data is challenging. Here, we developed a deep learning-based feature selection method suitable for gene selection. Our novel deep learning model includes an additional feature-s...
Middle Aged Transcriptome Case-Control Studies Deep Learning Gene Expression Regulation, Neoplastic Pancreas Pancreatic Neoplasms Female Kaplan-Meier Estimate Aged Carcinoma, Pancreatic Ductal Genes, Neoplasm Male Survival Analysis Humans
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A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy.

Scientific reports Apr 19, 2021
Histopathological diagnosis of pancreatic ductal adenocarcinoma (PDAC) on endoscopic ultrasonography-guided fine-needle biopsy (EUS-FNB) specimens has become the mainstay of preoperative pathological diagnosis. However, on EUS-FNB specimens, accurate...
Image-Guided Biopsy Humans Pancreatic Neoplasms Retrospective Studies Carcinoma, Pancreatic Ductal Deep Learning Endoscopic Ultrasound-Guided Fine Needle Aspiration Adenocarcinoma
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