Radiogenomics: bridging imaging and genomics
From diagnostics to prognosis to response prediction, new applications for radiomics are
rapidly being developed. One of the fastest evolving branches involves linking imaging …
rapidly being developed. One of the fastest evolving branches involves linking imaging …
[HTML][HTML] Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions
Removing the bias and variance of multicentre data has always been a challenge in large
scale digital healthcare studies, which requires the ability to integrate clinical features …
scale digital healthcare studies, which requires the ability to integrate clinical features …
Repeatability and reproducibility of MRI-based radiomic features in cervical cancer
Purpose The aims of this study are to evaluate the stability of radiomic features from T2-
weighted MRI of cervical cancer in three ways:(1) repeatability via test–retest;(2) …
weighted MRI of cervical cancer in three ways:(1) repeatability via test–retest;(2) …
Radiomics: a primer on high-throughput image phenotyping
Radiomics is a high-throughput approach to image phenotyping. It uses computer
algorithms to extract and analyze a large number of quantitative features from radiological …
algorithms to extract and analyze a large number of quantitative features from radiological …
Radiomics-based prediction of microsatellite instability in colorectal cancer at initial computed tomography evaluation
JS Golia Pernicka, J Gagniere, J Chakraborty… - Abdominal …, 2019 - Springer
Purpose To predict microsatellite instability (MSI) status of colon cancer on preoperative CT
imaging using radiomic analysis. Methods This retrospective study involved radiomic …
imaging using radiomic analysis. Methods This retrospective study involved radiomic …
A deep look into the future of quantitative imaging in oncology: a statement of working principles and proposal for change
The adoption of enterprise digital imaging, along with the development of quantitative
imaging methods and the re-emergence of statistical learning, has opened the opportunity …
imaging methods and the re-emergence of statistical learning, has opened the opportunity …
[HTML][HTML] The impact of the variation of imaging parameters on the robustness of Computed Tomography radiomic features: A review
The field of radiomics is at the forefront of personalized medicine. However, there is concern
that high variation in imaging parameters will impact robustness of radiomic features and …
that high variation in imaging parameters will impact robustness of radiomic features and …
Radiomic feature reproducibility in contrast-enhanced CT of the pancreas is affected by variabilities in scan parameters and manual segmentation
R Yamashita, T Perrin, J Chakraborty, JF Chou… - European …, 2020 - Springer
Objectives This study aims to measure the reproducibility of radiomic features in pancreatic
parenchyma and ductal adenocarcinomas (PDAC) in patients who underwent consecutive …
parenchyma and ductal adenocarcinomas (PDAC) in patients who underwent consecutive …
Radiomics for classifying histological subtypes of lung cancer based on multiphasic contrast-enhanced computed tomography
E Linning, L Lu, L Li, H Yang… - Journal of computer …, 2019 - journals.lww.com
Objectives The aim of this study was to evaluate the performance of the radiomics method in
classifying lung cancer histological subtypes based on multiphasic contrast-enhanced …
classifying lung cancer histological subtypes based on multiphasic contrast-enhanced …
Impact of inter-reader contouring variability on textural radiomics of colorectal liver metastases
F Rizzetto, F Calderoni, C De Mattia, A Defeudis… - European radiology …, 2020 - Springer
Background Radiomics is expected to improve the management of metastatic colorectal
cancer (CRC). We aimed at evaluating the impact of liver lesion contouring as a source of …
cancer (CRC). We aimed at evaluating the impact of liver lesion contouring as a source of …