JOURNAL ARTICLE
The incremental value of histogram analysis in the differentiation between hyperdense cysts and solid renal masses on unenhanced CT images.
Published In: British Journal of Radiology, 2025, v. 98, n. 1165. P. 100 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: de Souza Torres, Cecília Vidal; de Freitas Secaf, André; Maia Vieira, David Freire; de Moraes Morgado, Alexandre Souto; de Moraes Palma, Matheus; Andrade Ramos, Gabriel; Elias Jr., Jorge; Reis, Rodolfo B; Muglia, Valdair F 3 of 3
Abstract
The article investigates the utility of voxel histogram analysis (HA) in differentiating hyperdense renal cysts from small solid malignant renal masses on unenhanced CT scans. In a retrospective study of 99 hyperdense cystic lesions and 28 solid malignant lesions, HA using the 75th and 90th percentiles of voxel attenuation values demonstrated significantly higher diagnostic accuracy (77.2% and 68.5%, respectively) compared to the conventional mean attenuation threshold of 70 Hounsfield Units (HU) (37.0%). Most lesions exhibited a Gaussian distribution of voxel attenuation, allowing percentile calculations from a single region of interest (ROI) measurement. The findings suggest that HA, particularly using a 75th percentile cutoff of 65 HU, could improve sensitivity in characterizing hyperdense cysts without compromising specificity, though external multi-institutional validation is needed.
Additional Information
- Source:British Journal of Radiology. 2025/01, Vol. 98, Issue 1165, p100
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2025
- ISSN:0007-1285
- DOI:10.1093/bjr/tqae198
- Accession Number:185489050
- Copyright Statement:Copyright of British Journal of Radiology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.