Literature DB >> 30076456

Diagnostic accuracy of third-generation dual-source dual-energy CT: a prospective trial and protocol for clinical implementation.

Tim Nestler1, Kai Nestler2, Andreas Neisius3, Hendrik Isbarn4, Christopher Netsch5, Stephan Waldeck2, Hans U Schmelz6, Christian Ruf6.   

Abstract

PURPOSE: Uric acid (UA) calculi can be referred to chemolitholysis rather than invasive treatment. Dual-energy computed tomography (DECT) may be able to distinguish between UA and non-UA (NUA) calculi. The aim of this study was to evaluate the validity of third-generation DECT for the first time and to investigate whether combining DECT with clinical parameters can increase its predictive accuracy.
MATERIALS AND METHODS: All patients who presented to our emergency department between January 2015 and March 2017 with urinary stones were prospectively included in this observational study and underwent DECT with subsequent interventional stone removal. Stone composition was analyzed using infrared spectrometry as the gold standard. Predictive accuracy of DECT and clinical covariates was computed by assessing univariate and multivariate areas under the curve (AUCs).
RESULTS: Of 84 patients with 144 urinary stones, 10 (11.9%) patients had UA stones according to infrared spectrometry, and the remaining stones were NUA or mixed stones. DECT had a positive predictive value of 100% and a negative predictive value of 98.5% for UA stones. The AUC for urine pH alone was 0.71 and 0.97 for DECT plus urine pH. No UA stones were found in patients with a urine pH above > 5.5. Mean DLP was 225.15 ± 128.60 mGy*cm and mean effective dose was 3.38 ± 1.93 mSv.
CONCLUSIONS: DECT is a safe method for assigning patients to oral chemolitholysis. Clinical preselection of patients based on urinary pH (< 6.0) leads to a more liable use of DECT. Third-generation DECT needs significant lower radiation doses compared to previous generations.

Entities:  

Keywords:  Chemolitholysis; Clinical algorithm; Clinical protocol; DECT; Dual-energy CT; Kidney stone; Multi-detector CT; Third generation; Uric acid; Urolithiasis

Mesh:

Substances:

Year:  2018        PMID: 30076456     DOI: 10.1007/s00345-018-2430-4

Source DB:  PubMed          Journal:  World J Urol        ISSN: 0724-4983            Impact factor:   4.226


  22 in total

1.  Determination of stone composition by noncontrast spiral computed tomography in the clinical setting.

Authors:  S Y Nakada; D G Hoff; S Attai; D Heisey; D Blankenbaker; M Pozniak
Journal:  Urology       Date:  2000-06       Impact factor: 2.649

Review 2.  EAU Guidelines on Diagnosis and Conservative Management of Urolithiasis.

Authors:  Christian Türk; Aleš Petřík; Kemal Sarica; Christian Seitz; Andreas Skolarikos; Michael Straub; Thomas Knoll
Journal:  Eur Urol       Date:  2015-08-28       Impact factor: 20.096

Review 3.  Epidemiology of stone disease.

Authors:  Gary C Curhan
Journal:  Urol Clin North Am       Date:  2007-08       Impact factor: 2.241

4.  Diagnostic performance of low-dose CT for the detection of urolithiasis: a meta-analysis.

Authors:  Tilo Niemann; Thilo Kollmann; Georg Bongartz
Journal:  AJR Am J Roentgenol       Date:  2008-08       Impact factor: 3.959

5.  Dual-energy computed tomography for characterizing urinary calcified calculi and uric acid calculi: A meta-analysis.

Authors:  Xingju Zheng; Yuanyuan Liu; Mou Li; Qiyan Wang; Bin Song
Journal:  Eur J Radiol       Date:  2016-08-19       Impact factor: 3.528

6.  100% uric acid stone formers: what makes them different?

Authors:  Chad Reichard; Bradley C Gill; Carl Sarkissian; Shubha De; Manoj Monga
Journal:  Urology       Date:  2014-10-30       Impact factor: 2.649

7.  Uric acid and calcium oxalate nephrolithiasis.

Authors:  F L Coe
Journal:  Kidney Int       Date:  1983-09       Impact factor: 10.612

8.  Multisection CT protocols: sex- and age-specific conversion factors used to determine effective dose from dose-length product.

Authors:  Paul D Deak; Yulia Smal; Willi A Kalender
Journal:  Radiology       Date:  2010-10       Impact factor: 11.105

9.  Focused Dual-energy CT Maintains Diagnostic and Compositional Accuracy for Urolithiasis Using Ultralow-dose Noncontrast CT.

Authors:  Konrad Wilhelm; Martin Schoenthaler; Simon Hein; Fabian Adams; Daniel Schlager; Franklin Emmanuel Kuehhas; Sabina Sevcenco; Gregor Pache; Mathias Langer; Stefan Bulla; Arkadiusz Miernik
Journal:  Urology       Date:  2015-09-14       Impact factor: 2.649

10.  Role of dual-source dual-energy computed tomography versus X-ray crystallography in prediction of the stone composition: a retrospective non-randomized pilot study.

Authors:  Murat Akand; Mustafa Koplay; Necat Islamoglu; Murat Gul; Ozcan Kilic; Merter Bora Erdogdu
Journal:  Int Urol Nephrol       Date:  2016-05-20       Impact factor: 2.370

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  6 in total

1.  The combination of mean and maximum Hounsfield Unit allows more accurate prediction of uric acid stones.

Authors:  Long Qin; Jianhua Zhou; Wei Hu; Hu Zhang; Yunhui Tang; Mingyong Li
Journal:  Urolithiasis       Date:  2022-06-06       Impact factor: 2.861

2.  Pre-operative Percutaneous Nephrolithotripsy Characterisation of Kidney Stones with Second-Generation Dual-Source Dual-Energy Computed Tomography.

Authors:  Dk Mella Mohd Ali; Mohd Hafizi Mahmud; Noor Shafini Mohamad
Journal:  Malays J Med Sci       Date:  2020-10-27

3.  Prevalence of Monosodium Urate (MSU) Deposits in Cadavers Detected by Dual-Energy Computed Tomography (DECT).

Authors:  Andrea S Klauser; Sylvia Strobl; Christoph Schwabl; Werner Klotz; Gudrun Feuchtner; Bernhard Moriggl; Julia Held; Mihra Taljanovic; Jennifer S Weaver; Monique Reijnierse; Elke R Gizewski; Hannes Stofferin
Journal:  Diagnostics (Basel)       Date:  2022-05-16

4.  Revolution spectral CT for urinary stone with a single/mixed composition in vivo: a large sample analysis.

Authors:  Xian Li; Lu-Ping Wang; Li-Li Ou; Xiao-Yan Huang; Qing-Si Zeng; Wen-Qi Wu
Journal:  World J Urol       Date:  2021-01-25       Impact factor: 4.226

5.  Changes in the Selected Antioxidant Defense Parameters in the Blood of Patients after High Resolution Computed Tomography.

Authors:  Amira Bryll; Wirginia Krzyściak; Anna Jurczak; Robert Chrzan; Anna Lizoń; Andrzej Urbanik
Journal:  Int J Environ Res Public Health       Date:  2019-04-26       Impact factor: 3.390

6.  Clinical Low Dose Photon Counting CT for the Detection of Urolithiasis: Evaluation of Image Quality and Radiation Dose.

Authors:  Julius Henning Niehoff; Alexandra Fiona Carmichael; Matthias Michael Woeltjen; Jan Boriesosdick; Ingo Lopez Schmidt; Arwed Elias Michael; Nils Große Hokamp; Hansjuergen Piechota; Jan Borggrefe; Jan Robert Kroeger
Journal:  Tomography       Date:  2022-06-23
  6 in total

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