Quantitative chest X-ray radiomics for therapy response monitoring in patients with pulmonary tuberculosis
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Date
Authors
Du Plessis, Tamarisk
Rae, William Ian Duncombe
Ramkilawon, Gopika Devi
Martinson, Neil Alexander
Sathekge, Mike Machaba
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI
Abstract
Tuberculosis (TB) remains the second leading cause of death globally from a single infectious agent, and there is a critical need to develop improved imaging biomarkers and aid rapid assessments of responses to therapy. We aimed to utilize radiomics, a rapidly developing image analysis tool, to develop a scoring system for this purpose. A chest X-ray radiomics score (RadScore) was developed by implementing a unique segmentation method, followed by feature extraction and parameter map construction. Signature parameter maps that showed a high correlation to lung pathology were consolidated into four frequency bins to obtain the RadScore. A clinical score (TBscore) and a radiological score (RLscore) were also developed based on existing scoring algorithms. The correlation between the change in the three scores, calculated from serial X-rays taken while patients received TB therapy, was evaluated using Spearman’s correlation. Poor correlations were observed between the
changes in the TBscore and the RLscore (0.09 (p-value = 0.36)) and the TBscore and the RadScore (0.02 (p-value = 0.86)). The changes in the RLscore and the RadScore had a much stronger correlation of 0.22, which is statistically significant (p-value = 0.02). This shows that the developed RadScore has the potential to be a quantitative monitoring tool for responses to therapy.
Description
DATA AVAILABILITY STATEMENT : Data are available on request from the corresponding author.
Keywords
Radiomics, Segmentation, Feature extraction, Chest X-rays, Radiomics score, Tuberculosis (TB), SDG-03: Good health and well-being
Sustainable Development Goals
SDG-03:Good heatlh and well-being
Citation
Du Plessis, T.; Rae, W.I.D.; Ramkilawon, G.; Martinson, N.A.; Sathekge, M.M. Quantitative Chest X-ray Radiomics for Therapy Response Monitoring in Patients with Pulmonary Tuberculosis. Diagnostics 2023, 13, 2842. https://DOI.org/10.3390/diagnostics13172842.