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Quantitative Prediction of Stone Fragility From Routine Dual Energy CT: Ex vivo proof of Feasibility.
Ferrero, Andrea; Montoya, Juan C; Vaughan, Lisa E; Huang, Alice E; McKeag, Ian O; Enders, Felicity T; Williams, James C; McCollough, Cynthia H.
Afiliação
  • Ferrero A; Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905.
  • Montoya JC; Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905.
  • Vaughan LE; Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota.
  • Huang AE; Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905.
  • McKeag IO; Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905.
  • Enders FT; Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota.
  • Williams JC; Department of Anatomy and Cell Biology, Indiana University School of Medicine, Indianapolis, Indiana.
  • McCollough CH; Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905. Electronic address: mccollough.cynthia@mayo.edu.
Acad Radiol ; 23(12): 1545-1552, 2016 12.
Article em En | MEDLINE | ID: mdl-27717761
ABSTRACT
RATIONALE AND

OBJECTIVES:

Previous studies have demonstrated a qualitative relationship between stone fragility and internal stone morphology. The goal of this study was to quantify morphologic features from dual-energy computed tomography (CT) images and assess their relationship to stone fragility. MATERIALS AND

METHODS:

Thirty-three calcified urinary stones were scanned with micro-CT. Next, they were placed within torso-shaped water phantoms and scanned with the dual-energy CT stone composition protocol in routine use at our institution. Mixed low- and high-energy images were used to measure volume, surface roughness, and 12 metrics describing internal morphology for each stone. The ratios of low- to high-energy CT numbers were also measured. Subsequent to imaging, stone fragility was measured by disintegrating each stone in a controlled ex vivo experiment using an ultrasonic lithotripter and recording the time to comminution. A multivariable linear regression model was developed to predict time to comminution.

RESULTS:

The average stone volume was 300 mm3 (range 134-674 mm3). The average comminution time measured ex vivo was 32 seconds (range 7-115 seconds). Stone volume, dual-energy CT number ratio, and surface roughness were found to have the best combined predictive ability to estimate comminution time (adjusted R2 = 0.58). The predictive ability of mixed dual-energy CT images, without use of the dual-energy CT number ratio, to estimate comminution time was slightly inferior, with an adjusted R2 of 0.54.

CONCLUSIONS:

Dual-energy CT number ratios, volume, and morphologic metrics may provide a method for predicting stone fragility, as measured by time to comminution from ultrasonic lithotripsy.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cálculos Urinários Tipo de estudo: Evaluation_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Humans Idioma: En Revista: Acad Radiol Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cálculos Urinários Tipo de estudo: Evaluation_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Humans Idioma: En Revista: Acad Radiol Ano de publicação: 2016 Tipo de documento: Article