AIMC Topic: Carcinoma, Pancreatic Ductal
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Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images.
Diagnostic pathology
Jul 28, 2020
BACKGROUND: Multiplex immunohistochemistry (mIHC) permits the labeling of six or more distinct cell types within a single histologic tissue section. The classification of each cell type requires detection of the unique colored chromogens localized to...
Radiogenomics for predicting p53 status, PD-L1 expression, and prognosis with machine learning in pancreatic cancer.
British journal of cancer
Jul 21, 2020
BACKGROUND: Radiogenomics is an emerging field that integrates "Radiomics" and "Genomics". In the current study, we aimed to predict the genetic information of pancreatic tumours in a simple, inexpensive, and non-invasive manner, using cancer imaging...
Predicted Prognosis of Patients with Pancreatic Cancer by Machine Learning.
Clinical cancer research : an official journal of the American Association for Cancer Research
Jan 28, 2020
PURPOSE: Pancreatic cancer remains a disease of high mortality despite advanced diagnostic techniques. Mucins (MUC) play crucial roles in carcinogenesis and tumor invasion in pancreatic cancers. MUC1 and MUC4 expression are related to the aggressive ...
A machine learning model for the prediction of survival and tumor subtype in pancreatic ductal adenocarcinoma from preoperative diffusion-weighted imaging.
European radiology experimental
Oct 17, 2019
BACKGROUND: To develop a supervised machine learning (ML) algorithm predicting above- versus below-median overall survival (OS) from diffusion-weighted imaging-derived radiomic features in patients with pancreatic ductal adenocarcinoma (PDAC).
A machine learning algorithm predicts molecular subtypes in pancreatic ductal adenocarcinoma with differential response to gemcitabine-based versus FOLFIRINOX chemotherapy.
PloS one
Oct 2, 2019
PURPOSE: Development of a supervised machine-learning model capable of predicting clinically relevant molecular subtypes of pancreatic ductal adenocarcinoma (PDAC) from diffusion-weighted-imaging-derived radiomic features.
Machine Learning
Retrospective Studies
Female
Adult
Survival Rate
Sensitivity and Specificity
Male
Deoxycytidine
Middle Aged
Humans
Neoplasm Proteins
Gemcitabine
Antineoplastic Combined Chemotherapy Protocols
Keratins, Type II
Irinotecan
Oxaliplatin
Fluorouracil
Leucovorin
Keratins, Hair-Specific
Carcinoma, Pancreatic Ductal
Pancreatic Neoplasms
Disease-Free Survival
Nano-biotinylated liposome-based immunoassay for the ultrasensitive detection of protein biomarker in urine.
Talanta
Nov 21, 2017
With the development of proteomics and the continuous discovery of biomarkers of trace proteins, it is important to accurately quantify low abundance protein, especially in urine for clinical diagnostics. In this paper, we reported a novel nano-bioti...
Computer-assisted cytologic diagnosis in pancreatic FNA: An application of neural networks to image analysis.
Cancer cytopathology
Sep 8, 2017
BACKGROUND: Fine-needle aspiration (FNA) biopsy is an accurate method for the diagnosis of solid pancreatic masses. However, a significant number of cases still pose a diagnostic challenge. The authors have attempted to design a computer model to aid...
Pancreas
Biopsy, Fine-Needle
Pancreatectomy
Cytodiagnosis
Carcinoma, Pancreatic Ductal
Humans
Bile Duct Neoplasms
Image Processing, Computer-Assisted
Neural Networks, Computer
Adenocarcinoma
Computer Simulation
Diagnosis, Differential
Reproducibility of Results
Pancreatic Neoplasms
Diagnosis, Computer-Assisted
Medical management of pancreatic cancer: from personalization to broadening treatment strategies.
Cancer treatment reviews
Jul 1, 2025
Pancreatic ductal adenocarcinoma (PDAC) is one of the most heterogeneous and deadly cancers. This review examines recently implemented strategies to integrate predictive tools and targeted therapies to improve treatments personalization and patient o...
Integrating AI/ML and multi-omics approaches to investigate the role of TNFRSF10A/TRAILR1 and its potential targets in pancreatic cancer.
Computers in biology and medicine
Jul 1, 2025
Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, with a five-year survival of under 10 % despite current therapies. Aggressive tumor biology, a desmoplastic stroma that limits drug delivery and immune cell infiltra...
Computationally Enabled Polychromatic Polarized Imaging Enables Mapping of Matrix Architectures that Promote Pancreatic Ductal Adenocarcinoma Dissemination.
The American journal of pathology
Jul 1, 2025
Pancreatic ductal adenocarcinoma (PDA) is a highly metastatic and lethal disease. In PDA, extracellular matrix (ECM) architectures, known as tumor-associated collagen signatures (TACSs), regulate invasion and metastatic spread in both early dissemina...
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