Cargando…

Quantitative Chest X-ray Radiomics for Therapy Response Monitoring in Patients with Pulmonary Tuberculosis

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 deve...

Descripción completa

Detalles Bibliográficos
Autores principales: Du Plessis, Tamarisk, Rae, William Ian Duncombe, Ramkilawon, Gopika, Martinson, Neil Alexander, Sathekge, Mike Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10486768/
https://www.ncbi.nlm.nih.gov/pubmed/37685380
http://dx.doi.org/10.3390/diagnostics13172842
_version_ 1785103085336526848
author Du Plessis, Tamarisk
Rae, William Ian Duncombe
Ramkilawon, Gopika
Martinson, Neil Alexander
Sathekge, Mike Michael
author_facet Du Plessis, Tamarisk
Rae, William Ian Duncombe
Ramkilawon, Gopika
Martinson, Neil Alexander
Sathekge, Mike Michael
author_sort Du Plessis, Tamarisk
collection PubMed
description 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.
format Online
Article
Text
id pubmed-10486768
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-104867682023-09-09 Quantitative Chest X-ray Radiomics for Therapy Response Monitoring in Patients with Pulmonary Tuberculosis Du Plessis, Tamarisk Rae, William Ian Duncombe Ramkilawon, Gopika Martinson, Neil Alexander Sathekge, Mike Michael Diagnostics (Basel) Article 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. MDPI 2023-09-01 /pmc/articles/PMC10486768/ /pubmed/37685380 http://dx.doi.org/10.3390/diagnostics13172842 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Du Plessis, Tamarisk
Rae, William Ian Duncombe
Ramkilawon, Gopika
Martinson, Neil Alexander
Sathekge, Mike Michael
Quantitative Chest X-ray Radiomics for Therapy Response Monitoring in Patients with Pulmonary Tuberculosis
title Quantitative Chest X-ray Radiomics for Therapy Response Monitoring in Patients with Pulmonary Tuberculosis
title_full Quantitative Chest X-ray Radiomics for Therapy Response Monitoring in Patients with Pulmonary Tuberculosis
title_fullStr Quantitative Chest X-ray Radiomics for Therapy Response Monitoring in Patients with Pulmonary Tuberculosis
title_full_unstemmed Quantitative Chest X-ray Radiomics for Therapy Response Monitoring in Patients with Pulmonary Tuberculosis
title_short Quantitative Chest X-ray Radiomics for Therapy Response Monitoring in Patients with Pulmonary Tuberculosis
title_sort quantitative chest x-ray radiomics for therapy response monitoring in patients with pulmonary tuberculosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10486768/
https://www.ncbi.nlm.nih.gov/pubmed/37685380
http://dx.doi.org/10.3390/diagnostics13172842
work_keys_str_mv AT duplessistamarisk quantitativechestxrayradiomicsfortherapyresponsemonitoringinpatientswithpulmonarytuberculosis
AT raewilliamianduncombe quantitativechestxrayradiomicsfortherapyresponsemonitoringinpatientswithpulmonarytuberculosis
AT ramkilawongopika quantitativechestxrayradiomicsfortherapyresponsemonitoringinpatientswithpulmonarytuberculosis
AT martinsonneilalexander quantitativechestxrayradiomicsfortherapyresponsemonitoringinpatientswithpulmonarytuberculosis
AT sathekgemikemichael quantitativechestxrayradiomicsfortherapyresponsemonitoringinpatientswithpulmonarytuberculosis