Evidence map›Paper›PMID 32242275›Full record

ArticleEuropean radiology2020

Protocol analysis of dual-energy CT for optimization of kidney stone detection in virtual non-contrast reconstructions.

Matthias Lazar, Helmut Ringl, Pascal Baltzer, Daniel Toth, Christian Seitz, Bernhard Krauss, Ewald Unger, Stephan Polanec, Dietmar Tamandl, Christian J Herold and 1 more

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In one paragraph

Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 2 countries.

Matthias LazarDepartment of Biomedical Imaging and Image-guided Therapy, Medical University Vienna/Vienna General Hospital, Vienna, Austria.
Helmut RinglDepartment of Biomedical Imaging and Image-guided Therapy, Medical University Vienna/Vienna General Hospital, Vienna, Austria.
Pascal BaltzerDepartment of Biomedical Imaging and Image-guided Therapy, Medical University Vienna/Vienna General Hospital, Vienna, Austria.
Daniel TothDepartment of Biomedical Imaging and Image-guided Therapy, Medical University Vienna/Vienna General Hospital, Vienna, Austria.
Christian SeitzDepartment of Urology, Medical University Vienna/Vienna General Hospital, Vienna, Austria.
Bernhard KraussSiemens Healthineers, Forchheim, Germany.
Ewald UngerCenter for Medical Physics and Biomedical Engineering, Medical University Vienna, Vienna, Austria.
Stephan PolanecDepartment of Biomedical Imaging and Image-guided Therapy, Medical University Vienna/Vienna General Hospital, Vienna, Austria.
Dietmar TamandlDepartment of Biomedical Imaging and Image-guided Therapy, Medical University Vienna/Vienna General Hospital, Vienna, Austria.
Christian J HeroldDepartment of Biomedical Imaging and Image-guided Therapy, Medical University Vienna/Vienna General Hospital, Vienna, Austria.
Michael ToepkerDiagnosezentrum Favoriten, Radiology Center, Am Hauptbahnhof 2/4, 1100, Vienna, Austria. mt@dz10.at.
Vienna General Hospital · ATMedical University of Vienna · ATSiemens Healthcare (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPrevious studies have shown that split-bolus protocols in virtual non-contrast (VNC) reconstructions of dual-energy computed tomography (DE-CT) significantly decrease radiation dose in patients with urinary stone disease. To evaluate the impact on kidney stone detection rate of stone composition, size, tube voltage, and iodine concentration for VNC reconstructions of DE-CT.

methodsIn this prospective study, 16 kidney stones of different sizes (1.2-4.5 mm) and compositions (struvite, cystine, whewellite, brushite) were placed within a kidney phantom. Seventy-two scans with nine different iodine contrast agents/saline solutions with increasing attenuation (0-1400 HU) and different kilovoltage settings (70 kV/150 kV; 80 kV/150 kV; 90 kV/150 kV; 100 kV/150 kV) were performed. Two experienced radiologists independently rated the images for the presence and absence of stones. Multivariate classification tree analysis and descriptive statistics were used to evaluate the diagnostic performance.

resultsClassification tree analysis revealed a higher detection rate of renal calculi > 2 mm in size compared with that of renal calculi < 2 mm (84.7%; 12.7%; p < 0.001). For stones with a diameter > 2 mm, the best results were found at 70 kV/Sn 150 kV and 80 kV/Sn 150 kV in scans with contrast media attenuation of 600 HU or less, with sensitivity of 99.6% and 96.0%, respectively. A higher luminal attenuation (> 600 HU) resulted in a significantly decreased detection rate (91.8%, 0-600 HU; 70.7%, 900-1400 HU; p < 0.001). In our study setup, the detection rates were best for cystine stones.

conclusionScan protocols in DE-CT with lower tube current and lower contrast medium attenuation show excellent results in VNC for stones larger than 2 mm but have limitations for small stones. KEY POINTS: • The detection rate of virtual non-contrast reconstructions is highly dependent on the surrounding contrast medium attenuation at the renal pelvis and should be kept as low as possible, as at an attenuation higher than 600 HU the VNC reconstructions are susceptible to masking ureteral stones. • Protocols with lower tube voltages (70 kV/Sn 150 kV and 80 kV/Sn 150 kV) improve the detection rate of kidney stones in VNC reconstructions. • The visibility of renal stones in virtual non-contrast of dual-energy CT is highly associated with the size, and results in a significantly lower detection rate in stones below 2 mm.

Indexed as

Contrast MediaCalcium OxalateCalcium PhosphatesCystineHumansImage Processing, Computer-AssistedIodineKidney CalculiPhantoms, ImagingProspective StudiesRadiation DosageStruviteTomography, X-Ray ComputedUrinary CalculiCalcium Oxalatecalcium phosphate, dibasic, dihydrateCalcium PhosphatesContrast MediaCystineIodineStruvitewhewelliteContrast mediaPhantoms, imagingRadiation dosageTomography, spiral computedUrinary stones

Identifiers

PMID32242275
OpenAlexW3015068721

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.