Evidence map›Paper›PMID 27717761›Full record

ArticleAcademic radiology2016

Quantitative Prediction of Stone Fragility From Routine Dual Energy CT: Ex vivo proof of Feasibility.

Andrea Ferrero, Juan C Montoya, Lisa E Vaughan, Alice E Huang, Ian O McKeag, Felicity T Enders, James C Williams, Cynthia H McCollough

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Academic radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 15 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

8 authors at 2 institutions in 1 country.

Andrea FerreroDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905.
Juan C MontoyaDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905.
Lisa E VaughanDepartment of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota.
Alice E HuangDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905.
Ian O McKeagDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905.
Felicity T EndersDepartment of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota.
James C WilliamsDepartment of Anatomy and Cell Biology, Indiana University School of Medicine, Indianapolis, Indiana.
Cynthia H McColloughDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905. Electronic address: mccollough.cynthia@mayo.edu.
Mayo Clinic · USIndiana University School of Medicine

Funding

SWL AND RENAL INJURY AND STONE COMMINUTIONP01DK043881 · NIDDK · UNIVERSITY OF WASHINGTON · PI WILLIAMS, JAMES C · 1994 to 2023
$33.5M
VISUALIZATION AND PATHOPHYSIOLOGY OF RENAL STONE PRECURSOR LESIONSU54DK100227 · NIDDK · MAYO CLINIC ROCHESTER · PI LIESKE, JOHN C · 2013 to 2017
$6.3M
Mayo Clinic Urology O'Brien Research CenterP50DK083007 · NIDDK · MAYO CLINIC ROCHESTER · PI LIESKE, JOHN C · 2008 to 2012
$5.3M
Mayo Clinic Summer Undergraduate Research in Nephrology & UrologyR25DK101405 · NIDDK · MAYO CLINIC ROCHESTER · PI MICHAEL F. ROMERO · 2014 to 2026
$1.6M
NIDDK NIH HHS P01 DK043881NIDDK NIH HHS P50 DK083007NIDDK NIH HHS R25 DK101405NIDDK NIH HHS U54 DK100227
6 · The paper itself

Abstract

RATIONALE AND

objectivesPrevious studies have demonstrated a qualitative relationship between stone fragility and internal stone morphology. The goal of this study was to quantify morphologic features from dual-energy computed tomography (CT) images and assess their relationship to stone fragility. MATERIALS AND

methodsThirty-three calcified urinary stones were scanned with micro-CT. Next, they were placed within torso-shaped water phantoms and scanned with the dual-energy CT stone composition protocol in routine use at our institution. Mixed low- and high-energy images were used to measure volume, surface roughness, and 12 metrics describing internal morphology for each stone. The ratios of low- to high-energy CT numbers were also measured. Subsequent to imaging, stone fragility was measured by disintegrating each stone in a controlled ex vivo experiment using an ultrasonic lithotripter and recording the time to comminution. A multivariable linear regression model was developed to predict time to comminution.

resultsThe average stone volume was 300 mm

conclusionsDual-energy CT number ratios, volume, and morphologic metrics may provide a method for predicting stone fragility, as measured by time to comminution from ultrasonic lithotripsy.

Indexed as

Equipment DesignFeasibility StudiesHumansLithotripsyPhantoms, ImagingTomography, X-Ray ComputedUrinary CalculiKidney calculiLithotripsyX-ray computed tomography

Identifiers

PMID27717761
PMCPMC5111401
OpenAlexW2528524075

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.