ArticleBMC medical imaging2023
Computer-assisted evaluation of small airway disease in CT scans of Iran-Iraq war victims of chemical warfare by a locally developed software: comparison between different quantitative methods.
Article in BMC medical imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 4 citations in OpenAlex.
- Clinical application of computed tomographic volumetric imaging in postoperative lung function assessment in patients with lung cancer.BMC medical imaging · 2024Article
- Respiratory function after 30+ years following sulfur mustard exposure in survivors in Sweden.Frontiers in medicine · 2024Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
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Abstract
objectiveDiagnosis of small airway disease on computed tomography (CT) scans is challenging in patients with a history of chemical warfare exposure. We developed a software package based on different methodologies to identify and quantify small airway disease in CT images. The primary aim was to identify the best automatic methodology for detecting small airway disease in CT scans of Iran-Iraq War victims of chemical warfare.
methodsThis retrospective case-control study enrolled 46 patients with a history of chemical warfare exposure and 27 controls with inspiratory/expiratory (I/E) CT scans and spirometry tests. Image data were automatically segmented, and inspiratory images were registered into the expiratory images' frame using the locally developed software. Parametric response mapping (PRM) and air trapping index (ATI) mapping were performed on the CT images. Conventional QCT methods, including expiratory/inspiratory mean lung attenuation (E/I MLA) ratio, normal density E/I (ND E/I) MLA ratio, attenuation volume Index (AVI), %low attenuation areas (LAA) < -856 in exhale scans, and %LAA < -950 in inhale scans were also computed. QCT measurements were correlated with spirometry results and compared across the two study groups.
resultsThe correlation analysis showed a significant negative relationship between three air trapping (AT) measurements (PRM, ATI, and %LAA
conclusionQCT methods, including PRM, ATI, and %LAA
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