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.
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.
Authors: Naoki Takahashi; Robert P Hartman; Terri J Vrtiska; Akira Kawashima; Andrew N Primak; Oleksandr P Dzyubak; Jayawant N Mandrekar; Joel G Fletcher; Cynthia H McCollough Journal: AJR Am J Roentgenol Date: 2008-05 Impact factor: 3.959
Authors: Hans Scheffel; Paul Stolzmann; Thomas Frauenfelder; Thomas Schertler; Lotus Desbiolles; Sebastian Leschka; Borut Marincek; Hatem Alkadhi Journal: Invest Radiol Date: 2007-12 Impact factor: 6.016
Authors: Andrew N Primak; Joel G Fletcher; Terri J Vrtiska; Oleksandr P Dzyubak; John C Lieske; Molly E Jackson; James C Williams; Cynthia H McCollough Journal: Acad Radiol Date: 2007-12 Impact factor: 3.173
Authors: Daniel T Boll; Neil A Patil; Erik K Paulson; Elmar M Merkle; W Neal Simmons; Sean A Pierre; Glenn M Preminger Journal: Radiology Date: 2009-03 Impact factor: 11.105