Evidence map›Paper›PMID 27224260›Full record

ArticleAJR. American journal of roentgenology2016

Dual-Energy CT for Quantification of Urinary Stone Composition in Mixed Stones: A Phantom Study.

Shuai Leng, Alice Huang, Juan Montoya Cardona, Xinhui Duan, James C Williams, Cynthia H McCollough

Open access · greenAbstract read
In one paragraph

Article in AJR. American journal of roentgenology, 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
2.6field-weighted citation impact, top 11% 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, 29 citations in OpenAlex.

  1. Layered structure of sialoliths compared with tonsilloliths and antroliths.Journal of the Korean Association of Oral and Maxillofacial Surgeons · 2024
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Renal Stone Characterization using High Resolution Imaging Mode on a Photon Counting Detector CT System.Proceedings of SPIE--the International Society for Optical Engineering · 2017
    Article
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

6 authors at 2 institutions in 1 country.

Shuai Leng1 Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905.
Alice Huang1 Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905.
Juan Montoya Cardona1 Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905.
Xinhui Duan1 Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905.
James C Williams3 Department of Anatomy and Cell Biology, Indiana University, Indianapolis, IN.
Cynthia H McCollough1 Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905.
Mayo Clinic · USIndiana University – Purdue University Indianapolis · US

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 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 R25 DK101405NIDDK NIH HHS U54 DK100227
6 · The paper itself

Abstract

objectiveThe purpose of this study was to assess the feasibility of using dual-energy CT to accurately quantify uric acid and non-uric acid components in urinary stones of mixed composition. MATERIALS AND

methodsA total of 24 urinary stones were analyzed with micro CT to serve as the reference standard for uric acid and non-uric acid composition. These stones were placed in water phantoms to simulate body attenuation of slim to obese adults and scanned with a third-generation dual-source CT scanner by use of dual-energy modes adaptively selected on the basis of phantom size. CT number ratio, which is distinct for different materials, was calculated for each pixel of the stones. Each pixel was then classified as uric acid and non-uric acid by comparison of the CT number ratio with preset thresholds ranging from 1.10 to 1.70. Minimal, maximal, and root-mean-square errors were calculated by comparing composition with the reference standard, and the threshold with the minimal root-mean-square error was determined. A paired t test was performed to compare the stone composition determined with dual-energy CT with the reference standard obtained with micro CT.

resultsThe optimal CT number ratio threshold ranged from 1.27 to 1.55, dependent on phantom size. The root-mean-square error ranged from 9.60% to 12.87% across all phantom sizes. Minimal absolute error ranged from 0.04% to 1.24% and maximal absolute error from 22.05% to 35.46%. Dual-energy CT and the reference micro CT did not differ significantly on uric acid and non-uric acid composition (paired t test, p = 0.20-0.96).

conclusionAccurate quantification of uric acid and non-uric acid composition in mixed stones is possible with dual-energy CT.

Indexed as

HumansPhantoms, ImagingRadiographic Image Interpretation, Computer-AssistedRadiography, Dual-Energy Scanned ProjectionTomography, X-Ray ComputedUrinary CalculiX-Ray Microtomographydual-energy CTmixed stonesstone compositionurinary stones

Identifiers

PMID27224260
PMCPMC5010238
OpenAlexW2407853688

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.