Automated assessment of renal cortical surface roughness from computerized tomography images and its association with age
| Autor: | Cynthia H. McCollough, Mariam P. Alexander, Terri J. Vrtiska, Ramesh Avula, Andrew D. Rule, Hisham E. Elsherbiny, Lilach O. Lerman, Xinhui Duan |
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| Rok vydání: | 2014 |
| Předmět: |
Adult
Male Pathology medicine.medical_specialty Aging Surface finish Kidney Sensitivity and Specificity Article Pattern Recognition Automated Imaging Three-Dimensional Surface roughness medicine Humans Radiology Nuclear Medicine and imaging Cortical surface Nephrosclerosis business.industry Reproducibility of Results Odds ratio Radiographic Image Enhancement medicine.anatomical_structure Radiographic Image Interpretation Computer-Assisted Female Tomography Abdominal computed tomography Nuclear medicine business Tomography X-Ray Computed Algorithms |
| Zdroj: | Academic radiology. 21(11) |
| ISSN: | 1878-4046 |
| Popis: | Rationale and Objectives Nephrosclerosis occurs with aging and is characterized by increased kidney subcapsular surface irregularities at autopsy. Assessments of cortical roughness in vivo could provide an important measure of nephrosclerosis. The purpose of this study was to develop and validate an image-processing algorithm for quantifying renal cortical surface roughness in vivo and determine its association with age. Materials and methods Renal cortical surface roughness was measured on contrast-enhanced abdominal computed tomography (CT) images of potential living kidney donors. A roughness index was calculated based on geometric curvature of each kidney from three-dimensional images and compared to visual observation scores. Cortical roughness was compared between the oldest and youngest donors, and its interaction with cortical volume and age assessed. Results The developed quantitative roughness index identified significant differences in kidneys with visual surface roughness scores of 0 (minimal), 1 (mild), and 2 (moderate; P |
| Databáze: | OpenAIRE |
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