Complementary role of computed tomography texture analysis for differentiation of pancreatic ductal adenocarcinoma from pancreatic neuroendocrine tumors in the …

CP Reinert, K Baumgartner, T Hepp, M Bitzer… - Abdominal …, 2020 - Springer
Purpose To assess the role of CT-texture analysis (CTTA) for differentiation of pancreatic
ductal adenocarcinoma (PDAC) from pancreatic neuroendocrine neoplasm (PNEN) in the …

A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy

Y Naito, M Tsuneki, N Fukushima, Y Koga, M Higashi… - Scientific reports, 2021 - nature.com
Histopathological diagnosis of pancreatic ductal adenocarcinoma (PDAC) on endoscopic
ultrasonography-guided fine-needle biopsy (EUS-FNB) specimens has become the …

Radiomic features at CT can distinguish pancreatic cancer from noncancerous pancreas

PT Chen, D Chang, H Yen, KL Liu… - Radiology: Imaging …, 2021 - pubs.rsna.org
Purpose To identify distinguishing CT radiomic features of pancreatic ductal
adenocarcinoma (PDAC) and to investigate whether radiomic analysis with machine …

[HTML][HTML] Artificial intelligence and imaging for risk prediction of pancreatic cancer

TA Qureshi, S Javed, T Sarmadi… - Chinese clinical …, 2022 - ncbi.nlm.nih.gov
Objective: To emphasize the importance of pancreatic imaging and the application of
Artificial Intelligence (AI) for enhanced risk prediction of pancreatic ductal adenocarcinoma …

Current status of artificial intelligence analysis for endoscopic ultrasonography

T Kuwahara, K Hara, N Mizuno, S Haba… - Digestive …, 2021 - Wiley Online Library
Endoscopic ultrasonography (EUS) is an essential diagnostic tool for various types of
pancreatic diseases such as pancreatic tumors and chronic pancreatitis; however, EUS …

[HTML][HTML] Image-based machine learning algorithms for disease characterization in the human type 1 diabetes pancreas

X Tang, I Kusmartseva, S Kulkarni, A Posgai… - The American journal of …, 2021 - Elsevier
Emerging data suggest that type 1 diabetes affects not only the β-cell–containing islets of
Langerhans, but also the surrounding exocrine compartment. Using digital pathology …

Image-based molecular phenotyping of pancreatic ductal adenocarcinoma

GA Kaissis, S Ziegelmayer, FK Lohöfer… - Journal of clinical …, 2020 - mdpi.com
To bridge the translational gap between recent discoveries of distinct molecular phenotypes
of pancreatic cancer and tangible improvements in patient outcome, there is an urgent need …

[HTML][HTML] Development and multicenter validation of a CT-based radiomics signature for discriminating histological grades of pancreatic ductal adenocarcinoma

N Chang, L Cui, Y Luo, Z Chang, B Yu… - Quantitative imaging in …, 2020 - ncbi.nlm.nih.gov
Background The histological grade of pancreatic cancer is an important independent
predictor of outcome. However, we lack a method for safely and accurately obtaining the …

Pancreas image mining: a systematic review of radiomics

BM Abunahel, B Pontre, H Kumar, MS Petrov - European radiology, 2021 - Springer
Objectives To systematically review published studies on the use of radiomics of the
pancreas. Methods The search was conducted in the MEDLINE database. Human studies …

Prediagnostic image data, artificial intelligence, and pancreatic cancer: a tell-tale sign to early detection

MR Young, N Abrams, S Ghosh, JAS Rinaudo… - Pancreas, 2020 - journals.lww.com
Pancreatic cancer continues to be one of the deadliest malignancies and is the third leading
cause of cancer-related mortality in the United States. Based on several models, it is …