Evidence map›Paper›PMID 26526527›Full record

ArticleClinical imaging

Detection of different kidney stone types: an ex vivo comparison of ultrashort echo time MRI to reference standard CT.

El-Sayed H Ibrahim, Joseph G Cernigliaro, Robert A Pooley, Mellena D Bridges, Jamie G Giesbrandt, James C Williams, William E Haley

Abstract readComparative Study
In one paragraph

Article in Clinical imaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Trial
  2. Article
  3. Three Dimensional Ultra-short Echo Time MRI Can Depict Cholesterol Components of Gallstones Bright.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2021
    Article
  4. Article
  5. Review
  6. Review
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

El-Sayed H IbrahimMayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224, USA; University of Michigan, 1500 East Medical Center Drive, Ann Arbor, MI 48109, USA. Electronic address: elsayei@umich.edu.
Joseph G CernigliaroMayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224, USA.
Robert A PooleyMayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224, USA.
Mellena D BridgesMayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224, USA.
Jamie G GiesbrandtMayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224, USA.
James C WilliamsIndiana University, 340 West 10th Street, Indianapolis, IN 46202, USA.
William E HaleyMayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224, USA.

Funding

SWL AND RENAL INJURY AND STONE COMMINUTIONP01DK043881 · NIDDK · UNIVERSITY OF WASHINGTON · PI WILLIAMS, JAMES C · 1994 to 2023
$33.5M
Mayo Clinic Urology O'Brien Research CenterP50DK083007 · NIDDK · MAYO CLINIC ROCHESTER · PI LIESKE, JOHN C · 2008 to 2012
$5.3M
SkyScan 1176 Micro CT SystemS10OD016208 · OD · INDIANA UNIVERSITY INDIANAPOLIS · PI WILLIAMS, JAMES C · 2014 to 2014
$383k
NIDDK NIH HHS P01 DK043881NIDDK NIH HHS P50 DK083007NIH HHS S10 OD016208
6 · The paper itself

Abstract

background and purposeWith the development of ultrashort echo time (UTE) sequences, it may now be possible to detect kidney stones by using magnetic resonance imaging (MRI). In this study, kidney stones of varying composition and sizes were imaged using both UTE MRI as well as the reference standard of computed tomography (CT), with different surrounding materials and scan setups.

methodsOne hundred and fourteen kidney stones were inserted into agarose and urine phantoms and imaged both on a dual-energy CT (DECT) scanner using a standard renal stone imaging protocol and on an MRI scanner using the UTE sequence with both head and body surface coils. A subset of the stones representing all composition types and sizes was then inserted into the collecting system of porcine kidneys and imaged in vitro with both CT and MRI.

resultsAll of the stones were visible on both CT and MRI imaging. DECT was capable of differentiating between uric acid and nonuric acid stones. In MRI imaging, the choice of coil and large field of view (FOV) did not affect stone detection or image quality. The MRI images showed good visualization of the stones' shapes, and the stones' dimensions measured from MRI were in good agreement with the actual values (R(2)=0.886, 0.895, and 0.81 in the agarose phantom, urine phantom, and pig kidneys, respectively). The measured T2 relaxation times ranged from 4.2 to 7.5ms, but did not show significant differences among different stone composition types.

conclusionsUTE MRI compared favorably with the reference standard CT for imaging stones of different composition types and sizes using body surface coil and large FOV, which suggests potential usefulness of UTE MRI in imaging kidney stones in vivo.

Indexed as

AnimalsHumansKidney CalculiMagnetic Resonance ImagingPhantoms, ImagingReference StandardsSwineTomography, X-Ray ComputedAbdominal CTDual-energy computed tomography (DECT)Kidney stone imagingMRIUltrashort echo time

Identifiers

PMID26526527
PMCPMC5485418

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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.