ArticleAcademic radiology2013
Detecting radiation-induced injury using rapid 3D variogram analysis of CT images of rat lungs.
Article in Academic radiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- The textures of sarcoidosis: quantifying lung disease through variograms.Physics in medicine and biology · 2025Article
- The textures of sarcoidosis: quantifying lung disease through variograms.medRxiv : the preprint server for health sciences · 2024Article
- Variogram Modeling of Spatially Variant Early Response to Therapy in Advanced Non-Small Cell Lung Cancer.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- Synergistic Effect of Saccharin and Caffeine on Antiproliferative Activity in Human Ovarian Carcinoma Ovcar-3 Cells.International journal of molecular sciences · 2023Article
- Dosimetry in Micro-computed Tomography: a Review of the Measurement Methods, Impacts, and Characterization of the Quantum GX Imaging System.Molecular imaging and biology · 2017Review
- Comparison of CT-derived ventilation maps with deposition patterns of inhaled microspheres in rats.Experimental lung research · 2015Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
RATIONALE AND
objectivesTo investigate the ability of variogram analysis of octree-decomposed computed tomography (CT) images and volume change maps to detect radiation-induced damage in rat lungs. MATERIALS AND
methodsThe lungs of female Sprague-Dawley rats were exposed to one of five absorbed doses (0, 6, 9, 12, or 15 Gy) of gamma radiation from a Co-60 source. At 6 months postexposure, pulmonary function tests were performed and four-dimensional (4D) CT images were acquired using a respiratory-gated microCT scanner. Volume change maps were then calculated from the 4DCT images. Octree decomposition was performed on CT images and volume change maps, and variogram analysis was applied to the decomposed images. Correlations of measured parameters with dose were evaluated.
resultsThe effects of irradiation were not detectable from measured parameters, indicating only mild lung damage. Additionally, there were no significant correlations of pulmonary function results or CT densitometry with radiation dose. However, the variogram analysis did detect a significant correlation with dose in both the CT images (r = -0.57, P = .003) and the volume change maps (r = -0.53, P = .008).
conclusionThis is the first study to use variogram analysis of lung images to assess pulmonary damage in a model of radiation injury. Results show that this approach is more sensitive to detecting radiation damage than conventional measures such as pulmonary function tests or CT densitometry.
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Registered trials
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