ArticleAJR. American journal of roentgenology2011
Key variables for interpreting 99mTc-mercaptoacetyltriglycine diuretic scans: development and validation of a predictive model.
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.
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Who cites it
16 citing papers in PubMed, 28 citations in OpenAlex.
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- A Bayesian Latent Class Model to Predict Kidney Obstruction in the Absence of Gold Standard.Journal of the American Statistical Association · 2020Article
- Assessing alignment between functional markers and ordinal outcomes based on broad sense agreement.Biometrics · 2019Article
- SNMMI Procedure Standard/EANM Practice Guideline for Diuretic Renal Scintigraphy in Adults With Suspected Upper Urinary Tract Obstruction 1.0.Seminars in nuclear medicine · 2018Article
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- Urinary Proteomics Yield Pathological Insights for Ureteropelvic Junction Obstruction.Molecular & cellular proteomics : MCP · 2016Article
- Radionuclides in nephrourology, Part 2: pitfalls and diagnostic applications.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2014Review
- Radionuclides in nephrourology, part 1: Radiopharmaceuticals, quality control, and quantitative indices.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2014Review
- Computer-assisted diagnosis in renal nuclear medicine: rationale, methodology, and interpretative criteria for diuretic renography.Seminars in nuclear medicine · 2014Review
- Development of a relational database to capture and merge clinical history with the quantitative results of radionuclide renography.Journal of nuclear medicine technology · 2012Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
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.
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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.