Evaluation of low-dose dual energy computed tomography for in vivo assessment of renal/ureteric calculus composition
Korean Journal of Urology
;
: 587-593, 2015.
Article
in English
| WPRIM
| ID: wpr-65715
ABSTRACT
PURPOSE:
This study aimed to assess the accuracy of low-dose dual-energy computed tomography (DECT) in predicting the composition of urinary calculi. MATERIALS ANDMETHODS:
A total of 52 patients with urinary calculi were scanned with a 128-slice dual-source DECT scanner by use of a low-dose protocol. Dual-energy (DE) ratio, weighted average Hounsfield unit (HU) of calculi, radiation dose, and image noise levels were recorded. Two radiologists independently rated study quality. Stone composition was assessed after extraction by Fourier transform infrared spectroscopy (FTIRS). Analysis of variance was used to determine if the differences in HU values and DE ratios between the various calculus groups were significant. Threshold cutoff values to classify the calculi into separate groups were identified by receiver operating characteristic curve analysis.RESULTS:
A total of 137 calculi were detected. FTIRS analysis differentiated the calculi into five groups uric acid (n=17), struvite (n=3), calcium oxalate monohydrate and dihydrate (COM-COD, n=84), calcium oxalate monohydrate (COM, n=28), and carbonate apatite (n=5). The HU value could differentiate only uric acid calculi from calcified calculi (p80% sensitivity and specificity to differentiate them. The DE ratio could not differentiate COM from COM-COD calculi. No study was rated poor in quality by either of the observers. The mean radiation dose was 1.8 mSv.CONCLUSIONS:
Low-dose DECT accurately predicts urinary calculus composition in vivo while simultaneously reducing radiation exposure without compromising study quality.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Apatites
/
Phosphates
/
Radiation Dosage
/
Uric Acid
/
Calcium Oxalate
/
Image Interpretation, Computer-Assisted
/
Kidney Calculi
/
Ureteral Calculi
/
Tomography, X-Ray Computed
/
Prospective Studies
Type of study:
Observational study
/
Prognostic study
Limits:
Adult
/
Female
/
Humans
/
Male
Language:
English
Journal:
Korean Journal of Urology
Year:
2015
Type:
Article
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