Literature DB >> 29676347

Dual-energy computed tomography: A reliable and established tool for In vivo differentiation of uric acid from nonuric acid renal Stones.

Mohd Ilyas1, Ghanshyam Dev1, Anchal Gupta1, Tameem Ahmad Bhat1, Shwait Sharma1.   

Abstract

BACKGROUND: Dual-energy computed tomography (DECT) utilises the technique of simultaneous image acquisition of a body part at two different energy levels of the X-ray tubes. We used the DECT in this project to study its accuracy in non-invasive in vivo differentiation of uric acid (UA) calculi from non-UA calculi using the 3rd generation dual-source computed tomography (CT) scanner.
MATERIALS AND METHODS: The DECT ratios of the various stones were noted and compared with the postextraction analysis of stones for composition. Sixty stones from 53 patients were included in the study, and their DECT results were compared with the post-extraction analysis (by infrared spectroscopy as the standard comparative method).
RESULTS: DECT was highly sensitive and specific in the diagnosis of various types of calculi based on their dual-energy ratio. It was found to be 100% sensitive and specific for differentiating UA stones from the non-UA stones. The DE ratio for the UA stones was found to be 0.98-1.13. Most of the stones belonged to non-UA category (85%), and only 15% were UA calculi. The sensitivity and specificity in differentiating a calcium oxalate from non-calcium oxalate calculus was 97.8% and 92.3%, respectively.
CONCLUSION: DECT using the 3rd generation CT scanners is highly sensitive in the determination of urinary calculi composition which will be very helpful to the treating surgeon in selecting the optimal modality of treatment as UA stones are amenable to medical therapy while most of the non-UA stones require surgical intervention.

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Keywords:  Tomography; uric acid; urolithiasis

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Year:  2018        PMID: 29676347     DOI: 10.4103/npmj.npmj_24_18

Source DB:  PubMed          Journal:  Niger Postgrad Med J


  3 in total

1.  Role of Dual-Energy Computed Tomography in Characterization of Ureteric Calculi and Urinary Obstruction.

Authors:  Anchal Singh; Sachin Khanduri; Nazia Khan; Poonam Yadav; Mushahid Husain; Ahmad Umar Khan; Mazhar Khan; Shreshtha Jain
Journal:  Cureus       Date:  2020-05-07

2.  Value of artificial intelligence model based on unenhanced computed tomography of urinary tract for preoperative prediction of calcium oxalate monohydrate stones in vivo.

Authors:  Lei Tang; Wuchao Li; Xianchun Zeng; Rongpin Wang; Xiushu Yang; Guangheng Luo; Qijian Chen; Lihui Wang; Bin Song
Journal:  Ann Transl Med       Date:  2021-07

3.  The role of third-generation dual-source dual-energy computed tomography in characterizing the composition of renal stones with infrared spectroscopy as the reference standard.

Authors:  Shweta Shalini; Venkatesh Kasi Arunachalam; Rajesh Kumar Varatharajaperumal; Pankaj Mehta; Thambidurai S; Mathew Cherian
Journal:  Pol J Radiol       Date:  2022-03-11
  3 in total

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