TY - JOUR
T1 - Mastering CT-based radiomic research in lung cancer: a practical guide from study design to critical appraisal
AU - Horne, Ashley
AU - Abravan, Azadeh
AU - Fornacon-Wood, Isabella
AU - O’Connor, James P. B.
AU - Price, Gareth
AU - McWilliam, Alan
AU - Faivre-Finn, Corinne
PY - 2025/3/18
Y1 - 2025/3/18
N2 - Radiomics is a health technology that has the potential to extract clinically meaningful biomarkers from standard of care imaging. Despite a wealth of exploratory analysis performed on scans acquired from patients with lung cancer and existing guidelines describing some of the key steps, no radiomic-based biomarker has been widely accepted. This is primarily due to limitations with methodology, data analysis and interpretation of the available studies. There is currently a lack of guidance relating to the entire radiomic workflow from study design to critical appraisal. This guide, written with early career lung cancer researchers, describes a more complete radiomic workflow. Lung cancer image analysis is the focus due to some of the unique challenges encountered such as patient movement from breathing. The guide will focus on CT imaging as these are the most common scans performed on patients with lung cancer. The aim of this article is to support the production of high-quality research that has the potential to positively impact outcome of patients with lung cancer.
AB - Radiomics is a health technology that has the potential to extract clinically meaningful biomarkers from standard of care imaging. Despite a wealth of exploratory analysis performed on scans acquired from patients with lung cancer and existing guidelines describing some of the key steps, no radiomic-based biomarker has been widely accepted. This is primarily due to limitations with methodology, data analysis and interpretation of the available studies. There is currently a lack of guidance relating to the entire radiomic workflow from study design to critical appraisal. This guide, written with early career lung cancer researchers, describes a more complete radiomic workflow. Lung cancer image analysis is the focus due to some of the unique challenges encountered such as patient movement from breathing. The guide will focus on CT imaging as these are the most common scans performed on patients with lung cancer. The aim of this article is to support the production of high-quality research that has the potential to positively impact outcome of patients with lung cancer.
U2 - 10.1093/bjr/tqaf051
DO - 10.1093/bjr/tqaf051
M3 - Article
SN - 0007-1285
JO - British Journal of Radiology
JF - British Journal of Radiology
M1 - tqaf051
ER -