Evidence map›Paper›PMID 18199609›Full record

ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2008

Diagnostic performance of an expert system for interpretation of 99mTc MAG3 scans in suspected renal obstruction.

Andrew Taylor, Ernest V Garcia, Jose Nilo G Binongo, Amita Manatunga, Raghuveer Halkar, Russell D Folks, Eva Dubovsky

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

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  9. Radionuclides in nephrourology, Part 2: pitfalls and diagnostic applications.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2014
    Review
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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

7 authors at 2 institutions in 1 country.

Andrew TaylorDepartment of Radiology, Emory University School of Medicine, Atlanta, Georgia 30322, USA. ataylor@emory.edu
Ernest V Garcia
Jose Nilo G Binongo
Amita Manatunga
Raghuveer Halkar
Russell D Folks
Eva Dubovsky
Emory University · USUniversity of Alabama at Birmingham · US

Funding

Decision Support Systems for MAG3 RenographyR01EB008838 · NIBIB · EMORY UNIVERSITY · PI TAYLOR, ANDREW THOMPSON · 2008 to 2011
$1.6M
Decision Support Systems for MAG3 RenographyR01LM007595 · NLM · EMORY UNIVERSITY · PI TAYLOR, ANDREW THOMPSON · 2002 to 2005
$1.2M
NIBIB NIH HHS R01 EB008838NLM NIH HHS R01 LM007595NLM NIH HHS R01-LM007595
6 · The paper itself

Abstract

unlabelledThe purpose of the study was to compare diuresis renography scan interpretation generated by a renal expert system with the consensus interpretation of 3 expert readers.

methodsThe expert system was evaluated in 95 randomly selected furosemide-augmented patient studies (185 kidneys) obtained for suspected obstruction; there were 55 males and 40 females with a mean age +/- SD of 58.6 +/- 16.5 y. Each subject had a baseline (99m)Tc-mercaptoacetyltriglycine ((99m)Tc-MAG3) scan followed by furosemide administration and a separate 20-min acquisition. Quantitative parameters were automatically extracted from baseline and furosemide acquisitions and forwarded to the expert system for analysis. Three experts, unaware of clinical information, independently graded each kidney as obstructed/probably obstructed, equivocal, and probably nonobstructed/nonobstructed; experts resolved differences by a consensus reading. These 3 expert categories were compared with the obstructed, equivocal, and nonobstructed interpretations provided by the expert system. Agreement was assessed using weighted kappa, and the predictive accuracy of the expert system compared with expert readers was assessed by the area under receiver-operating-characteristic (ROC curve) curves.

resultsThe expert system agreed with the consensus reading in 84% (101/120) of nonobstructed kidneys, in 92% (33/36) of obstructed kidneys, and in 45% (13/29) of equivocal kidneys. The weighted kappa between the expert system and the consensus reading was 0.72 and was comparable with the weighted kappa between experts. There was no significant difference in the areas under the ROC curves when the expert system was compared with each expert using the other 2 experts as the gold standard.

conclusionThe renal expert system showed good agreement with the expert interpretation and could be a useful educational and decision support tool to assist physicians in the diagnosis of renal obstruction. To better mirror the clinical setting, algorithms to incorporate clinical data must be designed, implemented, and tested.

Indexed as

AlgorithmsExpert SystemsTechnetium Tc 99m MertiatideFemaleHumansImage EnhancementImage Interpretation, Computer-AssistedMaleMiddle AgedPattern Recognition, AutomatedRadioisotope RenographyRadiopharmaceuticalsReproducibility of ResultsSensitivity and SpecificitySoftwareUreteral ObstructionRadiopharmaceuticalsTechnetium Tc 99m Mertiatide

Identifiers

PMID18199609
PMCPMC3179983
OpenAlexW2109200059

What OpenQuestion holds

Textmetadata
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.