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논문 기본 정보

자료유형
학술저널
저자정보
Harshavardhan Mahalingam (Postgraduate Institute of Medical Education and Research) Anupam Lal (Postgraduate Institute of Medical Educat) Arup K Mandal (Postgraduate Institute of Medical Educat) Shrawan Kumar Singh (Postgraduate Institute of Medical Educat) Shalmoli Bhattacharyya (Postgraduate Institute of Medical Educat) Niranjan Khandelwal (Postgraduate Institute of Medical Education and Research)
저널정보
대한비뇨기과학회 Investigative and Clinical Urology Investigative and Clinical Urology Vol.56 No.8
발행연도
2015.1
수록면
587 - 593 (7page)

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Purpose: This study aimed to assess the accuracy of low-dose dual-energy computed tomography (DECT) in predicting the compositionof urinary calculi. Materials and Methods: A total of 52 patients with urinary calculi were scanned with a 128-slice dual-source DECT scanner byuse of a low-dose protocol. Dual-energy (DE) ratio, weighted average Hounsfield unit (HU) of calculi, radiation dose, and imagenoise levels were recorded. Two radiologists independently rated study quality. Stone composition was assessed after extractionby Fourier transform infrared spectroscopy (FTIRS). Analysis of variance was used to determine if the differences in HU values andDE ratios between the various calculus groups were significant. Threshold cutoff values to classify the calculi into separate groupswere 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 carbonateapatite (n=5). The HU value could differentiate only uric acid calculi from calcified calculi (p<0.001). The DE ratio could confidentlydifferentiate uric acid, struvite, calcium oxalate, and carbonate apatite calculi (p<0.001) with cutoff values of 1.12, 1.34, and 1.66,respectively, giving >80% sensitivity and specificity to differentiate them. The DE ratio could not differentiate COM from COM-CODcalculi. 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 exposurewithout compromising study quality.

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