Applications and limitations of radiomics

SSF Yip, HJWL Aerts - Physics in Medicine & Biology, 2016 - iopscience.iop.org
Radiomics is an emerging field in quantitative imaging that uses advanced imaging features
to objectively and quantitatively describe tumour phenotypes. Radiomic features have …

Receiver operating characteristic (ROC) curves: review of methods with applications in diagnostic medicine

NA Obuchowski, JA Bullen - Physics in Medicine & Biology, 2018 - iopscience.iop.org
Receiver operating characteristic (ROC) analysis is a tool used to describe the
discrimination accuracy of a diagnostic test or prediction model. While sensitivity and …

Radiomics in nuclear medicine: robustness, reproducibility, standardization, and how to avoid data analysis traps and replication crisis

A Zwanenburg - European journal of nuclear medicine and molecular …, 2019 - Springer
Radiomics in nuclear medicine is rapidly expanding. Reproducibility of radiomics studies in
multicentre settings is an important criterion for clinical translation. We therefore performed a …

Characterization of PET/CT images using texture analysis: the past, the present… any future?

M Hatt, F Tixier, L Pierce, PE Kinahan… - European journal of …, 2017 - Springer
After seminal papers over the period 2009–2011, the use of texture analysis of PET/CT
images for quantification of intratumour uptake heterogeneity has received increasing …

Survival outcome prediction in cervical cancer: Cox models vs deep-learning model

K Matsuo, S Purushotham, B Jiang… - American journal of …, 2019 - Elsevier
Background Historically, the Cox proportional hazard regression model has been the
mainstay for survival analyses in oncologic research. The Cox proportional hazard …

[HTML][HTML] Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners

S Reuzé, F Orlhac, C Chargari, C Nioche, E Limkin… - Oncotarget, 2017 - ncbi.nlm.nih.gov
Objectives To identify an imaging signature predicting local recurrence for locally advanced
cervical cancer (LACC) treated by chemoradiation and brachytherapy from baseline 18 F …

Radiomics in stratification of pancreatic cystic lesions: Machine learning in action

V Dalal, J Carmicheal, A Dhaliwal, M Jain, S Kaur… - Cancer letters, 2020 - Elsevier
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 …

Reproducibility of F18‐FDG PET radiomic features for different cervical tumor segmentation methods, gray‐level discretization, and reconstruction algorithms

BA Altazi, GG Zhang, DC Fernandez… - Journal of applied …, 2017 - Wiley Online Library
Site‐specific investigations of the role of radiomics in cancer diagnosis and therapy are
emerging. We evaluated the reproducibility of radiomic features extracted from 18Flourine …

Application of texture analysis based on apparent diffusion coefficient maps in discriminating different stages of rectal cancer

L Liu, Y Liu, L Xu, Z Li, H Lv, N Dong… - Journal of Magnetic …, 2017 - Wiley Online Library
Purpose To explore the potential of texture analysis based on apparent diffusion coefficient
(ADC) maps, as a predictor of local invasion depth (stage pT1‐2 versus pT3‐4) and nodal …

Radiomics in oncological PET/CT: clinical applications

JW Lee, SM Lee - Nuclear medicine and molecular imaging, 2018 - Springer
Abstract 18 F–fluorodeoxyglucose (FDG) positron emission tomography/computed
tomography (PET/CT) is widely used for staging, evaluating treatment response, and …