| Helical CT evaluation of the chemical composition of urinary tract calculi with a discriminant analysis of CT-attenuation values and density. | |
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MedLine Citation:
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PMID: 15221262 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The aim of this study was to evaluate the efficacy of helical CT using a combination of CT-attenuation values and visual assessment of stone density as well as discriminant linear analysis to predict the chemical composition of urinary calculi. One hundred human urinary calculi were obtained from a stone-analysis laboratory and placed in 20 excised pig kidneys. They were scanned at 80, 120 and 140 kV with 3-mm collimation. Average, highest and lowest CT-attenuation values and CT variability were recorded. The internal calculus structure was assessed using a wide window setting, and visual assessment of stone density was recorded. A stepwise discriminant linear analysis was performed. The following three variables were discriminant: highest CT-attenuation value, visual density, and highest CT-attenuation value/area ratio, all at 80 kV. The probability of correctly classifying stone composition with these three variables was 0.64, ranging from 0.54 for mixed calculi to 0.69 for pure calculi. The probabilities of correctly classifying calculus composition were: 0.91 for calcium oxalate monohydrate and brushite, 0.89 for cystine, 0.85 for uric acid, 0.11 for calcium oxalate dihydrate, 0.10 for hydroxyapatite, and 0.07 for struvite calculi. When the first two ranks of highest probability for the accurate classification of each calculus type were taken into account, 81% of the calculi were correctly classified. Assessment at 80 kV of the highest CT-attenuation value, visual density and the highest CT-attenuation value/area ratio accurately predicts the chemical composition of 64-81% of urinary calculi. When the first two ranks of highest probability for the accurate classification of each calculus type were taken into account, all cystine, calcium oxalate monohydrate and brushite calculi were correctly classified. |
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Authors:
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Marie-France Bellin; Raphaëlle Renard-Penna; Pierre Conort; Anne Bissery; Jean-Baptiste Meric; Michel Daudon; Alain Mallet; François Richard; Philippe Grenier |
Publication Detail:
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Type: Evaluation Studies; Journal Article Date: 2004-06-25 |
Journal Detail:
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Title: European radiology Volume: 14 ISSN: 0938-7994 ISO Abbreviation: Eur Radiol Publication Date: 2004 Nov |
Date Detail:
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Created Date: 2004-10-25 Completed Date: 2005-03-17 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9114774 Medline TA: Eur Radiol Country: Germany |
Other Details:
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Languages: eng Pagination: 2134-40 Citation Subset: IM |
Affiliation:
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Department of Radiology, Hôpital Paul-Brousse, AP-HP, Université Paris 11, 12-14 av P.V. Couturier, 94804 Villejuif Cedex, France. marie-france.bellin@pbr.ap-hop-paris.fr |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Animals Calcium Oxalate / analysis Calcium Phosphates / analysis Cystine / analysis Discriminant Analysis Durapatite / analysis Humans Magnesium Compounds / analysis Phosphates / analysis Predictive Value of Tests Swine Tomography, Spiral Computed / methods* Uric Acid / analysis Urinary Calculi / chemistry*, diagnosis* Urography / methods* |
| Chemical | |
Reg. No./Substance:
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0/Calcium Phosphates; 0/Magnesium Compounds; 0/Phosphates; 1306-06-5/Durapatite; 14567-92-1/brushite; 15490-91-2/struvite; 25454-23-3/Calcium Oxalate; 56-89-3/Cystine; 69-93-2/Uric Acid |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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