Pancreas image mining: a systematic review of radiomics
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 …
pancreas. Methods The search was conducted in the MEDLINE database. Human studies …
Radiomics in stratification of pancreatic cystic lesions: Machine learning in action
Pancreatic cystic lesions (PCLs) are well-known precursors of pancreatic cancer. Their
diagnosis can be challenging as their behavior varies from benign to malignant disease …
diagnosis can be challenging as their behavior varies from benign to malignant disease …
Radiomic machine-learning classifiers for prognostic biomarkers of advanced nasopharyngeal carcinoma
We aimed to identify optimal machine-learning methods for radiomics-based prediction of
local failure and distant failure in advanced nasopharyngeal carcinoma (NPC). We enrolled …
local failure and distant failure in advanced nasopharyngeal carcinoma (NPC). We enrolled …
Optimal co-clinical radiomics: Sensitivity of radiomic features to tumour volume, image noise and resolution in co-clinical T1-weighted and T2-weighted magnetic …
S Roy, TD Whitehead, JD Quirk, A Salter… - …, 2020 - thelancet.com
Background Radiomics analyses has been proposed to interrogate the biology of tumour as
well as to predict/assess response to therapy in vivo. The objective of this work was to …
well as to predict/assess response to therapy in vivo. The objective of this work was to …
Machine learning-based radiomic models to predict intensity-modulated radiation therapy response, Gleason score and stage in prostate cancer
Objective To develop different radiomic models based on the magnetic resonance imaging
(MRI) radiomic features and machine learning methods to predict early intensity-modulated …
(MRI) radiomic features and machine learning methods to predict early intensity-modulated …
A systematic review of prognosis predictive role of radiomics in pancreatic cancer: heterogeneity markers or statistical tricks?
Y Gao, S Cheng, L Zhu, Q Wang, W Deng, Z Sun… - European …, 2022 - Springer
Objectives We aimed to systematically evaluate the prognostic prediction accuracy of
radiomics features extracted from pre-treatment imaging in patients with pancreatic ductal …
radiomics features extracted from pre-treatment imaging in patients with pancreatic ductal …
Survival prediction in pancreatic ductal adenocarcinoma by quantitative computed tomography image analysis
Background Pancreatic cancer is a highly lethal cancer with no established a priori markers
of survival. Existing nomograms rely mainly on post-resection data and are of limited utility in …
of survival. Existing nomograms rely mainly on post-resection data and are of limited utility in …
Prognostic value of FDG-PET radiomics with machine learning in pancreatic cancer
Patients with pancreatic cancer have a poor prognosis, therefore identifying particular tumor
characteristics associated with prognosis is important. This study aims to investigate the …
characteristics associated with prognosis is important. This study aims to investigate the …
Radiomics in nuclear medicine applied to radiation therapy: methods, pitfalls, and challenges
Radiomics is a recent area of research in precision medicine and is based on the extraction
of a large variety of features from medical images. In the field of radiation oncology …
of a large variety of features from medical images. In the field of radiation oncology …
Radiomic analysis to predict local response in locally advanced pancreatic cancer treated with stereotactic body radiation therapy
Purpose Aim of this study is to assess the ability of contrast-enhanced CT image-based
radiomic analysis to predict local response (LR) in a retrospective cohort of patients affected …
radiomic analysis to predict local response (LR) in a retrospective cohort of patients affected …