Lung nodule localization and size estimation on chest tomosynthesis.

Autor:	Diniz MO; University of Gothenburg, Sahlgrenska Academy, Institute of Clinical Sciences, Department of Radiology, Gothenburg, Sweden.; Region Västra Götaland, Sahlgrenska University Hospital, Department of Radiology, Gothenburg, Sweden., Khalil M; University of Gothenburg, Sahlgrenska Academy, Institute of Clinical Sciences, Department of Radiology, Gothenburg, Sweden., Fagman E; University of Gothenburg, Sahlgrenska Academy, Institute of Clinical Sciences, Department of Radiology, Gothenburg, Sweden.; Region Västra Götaland, Sahlgrenska University Hospital, Department of Radiology, Gothenburg, Sweden., Vikgren J; University of Gothenburg, Sahlgrenska Academy, Institute of Clinical Sciences, Department of Radiology, Gothenburg, Sweden.; Region Västra Götaland, Sahlgrenska University Hospital, Department of Radiology, Gothenburg, Sweden., Haj F; University of Gothenburg, Sahlgrenska Academy, Institute of Clinical Sciences, Department of Radiology, Gothenburg, Sweden., Svalkvist A; University of Gothenburg, Sahlgrenska Academy, Institute of Clinical Sciences, Department of Medical Radiation Sciences, Gothenburg, Sweden.; Region Västra Götaland, Sahlgrenska University Hospital, Department of Medical Physics and Biomedical Engineering, Gothenburg, Sweden., Båth M; University of Gothenburg, Sahlgrenska Academy, Institute of Clinical Sciences, Department of Medical Radiation Sciences, Gothenburg, Sweden.; Region Västra Götaland, Sahlgrenska University Hospital, Department of Medical Physics and Biomedical Engineering, Gothenburg, Sweden., Johnsson ÅA; University of Gothenburg, Sahlgrenska Academy, Institute of Clinical Sciences, Department of Radiology, Gothenburg, Sweden.; Region Västra Götaland, Sahlgrenska University Hospital, Department of Radiology, Gothenburg, Sweden.
Jazyk:	angličtina
Zdroj:	Journal of medical imaging (Bellingham, Wash.) [J Med Imaging (Bellingham)] 2025 Jan; Vol. 12 (Suppl 1), pp. S13007. Date of Electronic Publication: 2024 Oct 28.
DOI:	10.1117/1.JMI.12.S1.S13007
Abstrakt:	Purpose: We aim to investigate the localization, visibility, and measurement of lung nodules in digital chest tomosynthesis (DTS). Approach: Computed tomography (CT), maximum intensity projections (CT-MIP) (transaxial versus coronal orientation), and computer-aided detection (CAD) were used as location reference, and inter- and intra-observer agreement regarding lung nodule size was assessed. Five radiologists analyzed DTS and CT images from 24 participants with lung nodules ≥ 100    mm 3 , focusing on lung nodule localization, visibility, and measurement on DTS. Visual grading was used to compare if coronal or transaxial CT-MIP better facilitated the localization of lung nodules in DTS. Results: The majority of the lung nodules (79%) were rated as visible in DTS, although less clearly in comparison with CT. Coronal CT-MIP was the preferred orientation in the task of locating nodules on DTS. On DTS, area-based lung nodule size estimates resulted in significantly less measurement variability when compared with nodule size estimated based on mean diameter (mD) ( p < 0.05 ). Also, on DTS, area-based lung nodule size estimates were more accurate ( SEE = 38.7    mm 3 ) than lung nodule size estimates based on mean diameter ( SEE = 42.7    mm 3 ). Conclusions: Coronal CT-MIP images are superior to transaxial CT-MIP images in facilitating lung nodule localization in DTS. Most nodules ≥ 100    mm 3 found on CT can be visualized, correctly localized, and measured in DTS, and area-based measurement may be the key to more precise and less variable nodule measurements on DTS. (© 2024 The Authors.)
Databáze:	MEDLINE
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