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Objective To evaluate the potential cerebral cortical volume alterations in type 2 diabetes mellitus (T2DM) patients with mild cognitive impairment (MCI) compared with T2DM patients and healthy controls,and to observe the correlations with the scores of neuropsychological scales.Methods Cortical volume based on high-resolution MR T1WI data from 30 healthy controls (HC),30 T2DM patients and 30 T2DM with MCI patients were evaluated with FreeSurfer software and compared with variance analysis.The correlations between cerebral cortical volume which had statistical difference and the scores of neuropsychological scales were analyzed.Results There were significant differences in auditory verbal learning test (AVLT) scores,complex figure test-delayed recall (20 min) scores,digit symbol-coding subtest scores,MoCA scores and higher trail-making test-A scores,as well as trail-making test-B scores between T2DM and T2DM with MCI patients (all P＜0.05).Compared with T2DM patients,cortical volume of left entorhinal cortex,left lateral orbitofrontal gyrus,left posterior cingulate gyrus and the right lateral orbitofrontal gyrus,right pars orbitalis,right insula reduced in T2DM with MCI patients (all P＜0.05).In T2DM with MCI patients,AVLT scores were positively correlated with volume of the left entorhinal cortex (r=0.452,P=0.018).Conclusion Several cortical volume reductions are exhibited in T2DM patients with MCI.The volume of the left entorhinal cortex may be a potential biomarker to diagnose and evaluate MCI in T2DM.
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ObjectiveTo evaluate the feasibility of determining the chemical composition of kidney stones using gemstone spectral imaging ( GSI ).Methods One hundred and sixty eight extracted human kidney stones immersed in a 10 cm deep water tank underwent CT (Discovery CT750 HD) scans with GSI mode and conventional polychromatic imaging ( CPI,120 kVp) mode.All GSI data were transferred to Workstation AW 4.4 to acquire monochromatic images of 50 keY,effective atomic number (Zeff) mapping images,water (calcium)-based images and calcium (Water)-based images with GSI Viewer.CT numbers of stones were measured and compared at 50 keV monochromatic images and 120 kVp polychromatic images,the mean Zeff,calcium density and water density were measured at Zeff mapping images,Calcium (Water) -based images and Water (Calcium)-based images,respectively.The mean Zeff,spectral HU curve slope and calcium water ratio (CWR) were compared with ANOVA and Wilcoxon test.The composition of kidney stones was determined by infrared spectrometer after CT examination.According to the result of stone composition determined by infrared spectroscopy,108 pure kidney stones were divided into five groups:Uric acid stones ( UA,n = 13 ),struvite stones ( STR,n = 24),cystine stones ( CYS,n = 14),calcium phosphate stones ( CaP,n = 18),and calcium oxalate stones ( COX,n = 39).ResultsThe mean Zeff,CWR,the mean CT numbers at 50 keV images,120 kVp images and spectral HU curve slope of each group were listed as the following:UA [ 7.4 ± 0.4,0.0085 ± 0.0021,( 503 ± 168 ) HU,(495 ± 106 ) HU and - 0.77 ] ; STR [ 11.8 ± 0.9,0.1743 ± 0.0677,( 1056 ± 290 ) HU,( 799 ± 165 ) HU and 18.72 ] ; CYS [ 11.2 ± 0.6,0.1253 ± 0.0297,( 740 ± 172 ) HU,( 565 ± 129 ) HU and 12.79 ] ; CaP [ 16.0 ± 0.4,0.6781 ± 0.0952,( 2567 ±178 ) HU,( 1602 ± 200 ) HU and 37.14 ] ; COX [ 15.4 ± 0.4,0.5683 ± 0.0759,( 2267 ± 385 ) HU,( 1489 ±284) HU and 36.36 ],there were significant differences among groups ( P ＜ 0.01 ).The differences in the mean Zeff,CRW,spectral HU curve slope were statistically significant among the five groups ( P ＜ 0.05 ).Conclusion Spectral CT imaging provides a new method to characterize the kidney stones with the information orovided by mean Zeff,CRW and the CT numbers at 50 keV.
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Objective To evaluate dual-source dual-energy CT(DSCT) for the differentiation of urinary stone composition in vitro. Methods Ninety-seven urinary stones were obtained by endoscopic lithotripsy and scanned using dual-source dual-energy CT. The stones were divided into six groups according to infrared spectroscopy stone analysis: uric acid ( UA ) stones ( n = 10 ), cystine stones ( n = 5 ), struvite stones( n = 6), calcium oxalate ( CaOx ) stones ( n = 22 ), mixed UA stones ( n=7 ) and mixed calcium stones(n=47). Hounsfield units (HU) of each stone were recorded for the 80 kV and the 140 kV datasets by hand-drawing method. HU difference, HU ratio and dual energy index ( DEI ) were calculated and compared among the stone groups with one-way ANOVA. Using dual energy software to determine the composition of all stones, results were compared to infrared spectroscopy analysis. Results There were statistical differences in HU difference [(-17±13), (229±34),(309 ±45), (512 ±97), (201±64)and (530±71) HU respectively], in HU ratio (0.96±0.03, 1.34 ±0.04, 1.41 ±0.03, 1.47 ±0.03,1.30±0.07, and 1.49 ±0.03 respectively), and DEI( -0.006 ±0.004, 0.064 ±0.007, 0.080 ±0. 007, 0. 108±0.011 ,0. 055 ±0.014 and 0. 112 ±0.008 respectively ) among different stone groups(F=124. 894,407.028, 322. 864 respectively, P ＜0. 01 ). There were statistical differences in HU difference,HU ratio and DE1 between UA stones and the other groups( P ＜ 0. 01 ). There were statistical differences in HU difference, HU ratio and DEI between CaOx or mixed calcium stones and the other four groups (P＜0. 01 ). There was statistical difference in HU ratio between cystine and struvite stones ( P ＜ 0. 01 ). There were statistical differences in HU difference, HU ratio and DEI between struvite and mixed UA stones (P＜0. 05 ). Dual energy software correctly characterized 10 UA stones, 4 cystine stones, 22 CaOx stones and 6 mixed UA stones. Two struvite stones were considered to contain cystine. One cystine stone, 1 mixed UA stone, 4 struvite stones and 47 mixed calcium stones were considered to contain oxalate. Conclusions DSCT has the ability to differentiate urinary stone composition in vitro. With dual energy software, the UA, cystine and mixed UA stones can be differentiated from other types of stones.