Using quantitative imaging for personalized medicine in pancreatic cancer: a review of radiomics and deep learning applications
Simple Summary With a five-year survival rate of only 3% for the majority of patients,
pancreatic cancer is a global healthcare challenge. Radiomics and deep learning, two novel …
pancreatic cancer is a global healthcare challenge. Radiomics and deep learning, two novel …
[HTML][HTML] A primer on artificial intelligence in pancreatic imaging
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 …
contained in medical images. Deep learning and radiomics are the two main AI methods …
Pre-operative radiomics model for prognostication in resectable pancreatic adenocarcinoma with external validation
Objectives In resectable pancreatic ductal adenocarcinoma (PDAC), few pre-operative
prognostic biomarkers are available. Radiomics has demonstrated potential but lacks …
prognostic biomarkers are available. Radiomics has demonstrated potential but lacks …
Pancreatic ductal adenocarcinoma staging: a narrative review of radiologic techniques and advances
Radiology plays an important role in the initial diagnosis and staging of patients with
pancreatic ductal adenocarcinoma (PDAC). CT is the preferred modality over MRI due to …
pancreatic ductal adenocarcinoma (PDAC). CT is the preferred modality over MRI due to …
Re-assessing the role of peri-operative nutritional therapy in patients with pancreatic cancer undergoing surgery: a narrative review
Pancreatic cancer is the most common medical condition that requires pancreatic resection.
Over the last three decades, significant improvements have been made in the conditions …
Over the last three decades, significant improvements have been made in the conditions …
Setting the research agenda for clinical artificial intelligence in pancreatic adenocarcinoma imaging
Simple Summary Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest cancers
worldwide, associated with a 98% loss of life expectancy and a 30% increase in disability …
worldwide, associated with a 98% loss of life expectancy and a 30% increase in disability …
Current state of radiomic research in pancreatic cancer: focusing on study design and reproducibility of findings
Objectives To critically appraise methodology and reproducibility of published studies on CT
radiomics of pancreatic ductal adenocarcinoma (PDAC). Methods PRISMA literature search …
radiomics of pancreatic ductal adenocarcinoma (PDAC). Methods PRISMA literature search …
Pancreatic Ductal Adenocarcinoma: Update of CT-Based Radiomics Applications in the Pre-Surgical Prediction of the Risk of Post-Operative Fistula, Resectability …
G Pacella, MC Brunese, E D'Imperio… - Journal of Clinical …, 2023 - mdpi.com
Background: Pancreatic ductal adenocarcinoma (PDAC) is the seventh leading cause of
cancer-related deaths worldwide. Surgical resection is the main driver to improving survival …
cancer-related deaths worldwide. Surgical resection is the main driver to improving survival …
Development and external validation of a radiomics combined with clinical nomogram for preoperative prediction prognosis of resectable pancreatic ductal …
F Wang, Y Zhao, J Xu, S Shao, D Yu - Frontiers in Oncology, 2022 - frontiersin.org
Purpose To develop and externally validate a prognosis nomogram based on contrast-
enhanced computed tomography (CECT) combined clinical for preoperative prognosis …
enhanced computed tomography (CECT) combined clinical for preoperative prognosis …
[HTML][HTML] Comprehensive multimodal management of borderline resectable pancreatic cancer: Current status and progress
HY Wu, JW Li, JZ Li, QL Zhai, JY Ye… - World Journal of …, 2023 - ncbi.nlm.nih.gov
Borderline resectable pancreatic cancer (BRPC) is a complex clinical entity with specific
biological features. Criteria for resectability need to be assessed in combination with tumor …
biological features. Criteria for resectability need to be assessed in combination with tumor …