Characterisation of urinary stones in the presence of iodinated contrast medium using dual-energy CT: a phantom study.

Objective: To develop a dual-energy CT (DECT) method for differentiating uric acid (UA) from non-UA stones in the presence of iodinated contrast medium.Methods: Thirty UA and 45 non-UA stones were selected after infra-red spectroscopic analysis and independently placed in a 1.5-ml vial, which was fi...

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Publicado en:European Radiology Vol. 22; no. 12; pp. 2589 - 2597
Autores principales: Wang J, Qu M, Duan X, Takahashi N, Kawashima A, Leng S, McCollough CH, Wang, Jia, Qu, Mingliang, Duan, Xinhui, Takahashi, Naoki, Kawashima, Akira, Leng, Shuai, McCollough, Cynthia H
Formato: research Journal Article
Publicado: Springer Nature Dec2012
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2012
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      pub: Springer Nature
      place: New York, New York
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        atl: Characterisation of urinary stones in the presence of iodinated contrast medium using dual-energy CT: a phantom study.
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        au:
          Wang J
          Qu M
          Duan X
          Takahashi N
          Kawashima A
          Leng S
          McCollough CH
          Wang, Jia
          Qu, Mingliang
          Duan, Xinhui
          Takahashi, Naoki
          Kawashima, Akira
          Leng, Shuai
          McCollough, Cynthia H
        affil: Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
      sug:
        subj:
          Tomography, X-Ray Computed Methods
          Urinary Calculi Radiography
          Contrast Media Diagnostic Use
          Human
          Image Processing, Computer Assisted
          Phantoms, Imaging
          ROC Curve
          Sensitivity and Specificity
          Urinary Calculi
          Urography Methods
      ab: Objective: To develop a dual-energy CT (DECT) method for differentiating uric acid (UA) from non-UA stones in the presence of iodinated contrast medium.Methods: Thirty UA and 45 non-UA stones were selected after infra-red spectroscopic analysis and independently placed in a 1.5-ml vial, which was filled first with saline and then with increasing concentrations of iodine. For each condition, tubes were put in a 35-cm water phantom and examined using a dual-source CT system at 100 and 140 kV. Virtual unenhanced images created from CT data sets of the stones in iodine-containing solutions provided position and volume information. This map was used to calculate a CT number ratio to differentiate stone type. A region-growing method was developed to improve the ability to differentiate between UA and non-UA stones with iodinated contrast medium.Results: The sensitivity for detecting UA stones was 100 % for unenhanced images but fell to 18 % with 20 mgI/ml iodine solution and 0 % for higher concentrations. With region growing, the sensitivity for detecting UA stones was increased to 100 %, 82 %, 57 %, 50 % and 21 % for iodine solutions of 20, 40, 60, 80 and 100 mgI/ml.Conclusion: The region-growing method improves differentiation of UA from non-UA stones on contrast-enhanced DECT urograms.Key Points: Computed tomography is widely used to assess renal tract calculi. Dual-energy CT can assess stone composition and provide virtual unenhanced images. However, iodinated contrast medium affects the volume estimation for urinary stones. CTR of stones is altered by the surrounding iodine in CT urograms. The region-growing method improves the identification of uric acid stones.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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