Evidence map›Paper›PMID 21785077›Full record

ArticleAJR. American journal of roentgenology2011

Key variables for interpreting 99mTc-mercaptoacetyltriglycine diuretic scans: development and validation of a predictive model.

Jieqiong Bao, Amita Manatunga, Jose Nilo G Binongo, Andrew T Taylor

Open access · greenAbstract readValidation Study
In one paragraph

Article in AJR. American journal of roentgenology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.0field-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

16 citing papers in PubMed, 28 citations in OpenAlex.

  1. Unscaled Indices for Assessing Agreement of Functional Data.Biometrical journal. Biometrische Zeitschrift · 2025
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  2. Assessing intra- and inter-method agreement of functional data.Statistical methods in medical research · 2024
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  6. Head to head comparison of [EJNMMI research · 2021
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  7. Diagnostics (Basel, Switzerland) · 2020
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  11. Radiology · 2017
    Article
  12. Article
  13. Radionuclides in nephrourology, Part 2: pitfalls and diagnostic applications.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2014
    Review
  14. Radionuclides in nephrourology, part 1: Radiopharmaceuticals, quality control, and quantitative indices.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2014
    Review
  15. Review
  16. 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

4 authors at 1 institution in 1 country.

Jieqiong BaoDepartment of Biostatistics and Bioinformatics, Emory University School of Public Health, Atlanta, GA, USA.
Amita Manatunga
Jose Nilo G Binongo
Andrew T Taylor
Emory University · US

Funding

Decision Support Systems for MAG3 RenographyR01EB008838 · NIBIB · EMORY UNIVERSITY · PI TAYLOR, ANDREW THOMPSON · 2008 to 2011
$1.6M
NIBIB NIH HHS R01 EB008838NIBIB NIH HHS R01-EB008838
6 · The paper itself

Abstract

objectiveThe purpose of this study was to facilitate interpretation of (99m)Tc-mercaptoacetyltriglycine (MAG3) diuretic scans by identifying key interpretative variables and developing a predictive model for computer-assisted diagnosis. MATERIALS AND

methodsNinety-seven studies were randomly selected from an archived database of MAG3 baseline and furosemide acquisitions and scan interpretations (obstruction, equivocal finding, or no obstruction) derived from a consensus of three experts. Sixty-one studies (120 kidneys) were randomly chosen to build a predictive model for diagnosing or excluding obstruction. The other 36 studies (71 kidneys) composed the validation group. The probability of normal drainage (no obstruction) at the baseline acquisition and the probability of no obstruction, equivocal finding, or obstruction after furosemide administration were determined by logistic regression analysis and proportional odds modeling of MAG3 renographic data.

resultsThe single most important baseline variable for excluding obstruction was the ratio of postvoid counts to maximum counts. Renal counts in the last minute of furosemide acquisition divided by the maximum baseline acquisition renal counts and time to half-maximum counts after furosemide administration in a pelvic region of interest were the critical variables for determining obstruction. The area under the receiver operating characteristic curve (AUC) for predicting normal drainage in the validation sample was 0.93 (standard error, 0.02); sensitivity, 85%; specificity, 93%. The AUC for the diagnosis of obstruction after furosemide administration was 0.84 (standard error, 0.06); sensitivity, 82%; specificity, 83%.

conclusionA predictive system has been developed that provides a promising computer-assisted diagnosis approach to the interpretation of MAG3 diuretic renal scans; this system has also identified the key variables required for scan interpretation.

Indexed as

RadiopharmaceuticalsTechnetium Tc 99m MertiatideAdultAgedAged, 80 and overArea Under CurveDiagnosis, Computer-AssistedFemaleFurosemideHumansLogistic ModelsMaleMiddle AgedPredictive Value of TestsRadionuclide ImagingROC CurveFurosemideRadiopharmaceuticalsTechnetium Tc 99m Mertiatide

Identifiers

PMID21785077
PMCPMC3179984
OpenAlexW2141729789

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.