1、SD ! M VOL.27 No.09 sNTSZs1 FW Ssi 1 b qsT; sT1 b T l“ 8 FSb U Fa Fa Fa Fa Fc F)6sYaaaa)61sYaaaa % sT1 ? q U Fa U Fa F F 6 Fa c Fa U Fa U F F ( MY sb %4$5? s8 = Fs V P? q V z us8 = U FaU Fa Fc F us F#sc Fi 4b $5 ? 8 9L9 U“ F ; “CTUSBDU 0CKFDUJWF To evaluate the ability of dual-source dual-energy CT
2、to differentiate urinary stone of different compositions in vivo. .FUIPET Sixty-four patients with known urinary stone disease were scanned using a DSCT scanner in the dual-energy mode. Hounsfield units (HU) of each stone were recorded for the 80 kV and the 140 kV datasets by hand-drawing method. HU
3、 difference, HU ratio and DEI were calculated. Urinary stones were classified as UA stones, mixed UA stones, cystine stones and calcium stones based on dual energy software, the results compared with the infrared spectroscopy analysis of stone samples. Use one-way ANOVA to compare HU difference, HU
4、ratio and DEI of different stones groups according to infrared spectroscopy. 3FTVMUT In 55 patients, stones were sampled. Dual energy software correctly characterized 4 UA stones, 1 mixed UA stone, 2 cystine stone, and 42 calcium stones. 4 struvite stones, 1 mixed ammonium urate and calcium stone, 1
5、 mixed UA stone were classified as calcium stones. Statistical differences in HU difference (1812), (21421), (32935), (36049), (45897) and (497110) HU respectively, HU ratio (1.040.02, 1.360.02, 1.490.04, 1.500.08, 1.520.05 and 1.530.04 respectively), and DEI (0.0060.004, 0.0620.002, 0.0890.006, 0.0
6、950.013, 0.1070.011 and 0.1120.012 respectively) among UA stones, cystine stone, struvite stones, CaP stones, CaOx stones and mix calcium stones (P Cb +9DB$5.3 i C U S;)“/(8BOTIJB:“/(2JGBOHB .4 $“3 s F f l“$5_ |8 FS; sbs PF; 1s“ d -*3? b | F 3 !1 b | F“NH_NHKx =n = 0N)%x i SD ! M VOL.27 No.09 b YV q
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