Evaluation of two diuresis renography decision support systems to determine the need for furosemide in patients with suspected obstruction

American Journal of Roentgenology

Volumn 188, Issue 5, 2007, Pages 1395-1402

  Taylor, Andrew ^a   Hill, Andrew N ^b   Binongo, José N E ^b   Manatunga, Amita K ^b   Halkar, Raghuveer ^a   Dubovsky, Eva V ^c   Garcia, Ernest V ^a  

^a EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b EMORY UNIVERSITY   (United States)

^c UNIVERSITY OF ALABAMA SCHOOL OF MEDICINE   (United States)

Author keywords

Genitourinary tract imaging; Kidney; Nuclear medicine; Radiology practice; Renal disease

Indexed keywords

FUROSEMIDE; MERTIATIDE TC 99M;

ADULT; AGED; ALGORITHM; ARTICLE; CLINICAL ARTICLE; CLINICAL DECISION MAKING; CLINICAL PRACTICE; CLINICAL PROTOCOL; COMPARATIVE STUDY; CONSENSUS; DECISION SUPPORT SYSTEM; DIURESIS; DIURESIS RENOGRAPHY; EVALUATION; EXPERT SYSTEM; FEMALE; HUMAN; KNOWLEDGE BASE; MAJOR CLINICAL STUDY; MALE; PILOT STUDY; PRIORITY JOURNAL; RADIOLOGICAL PARAMETERS; RENOGRAPHY; STATISTICAL ANALYSIS; URETER OBSTRUCTION;

ADULT; AGED; CLINICAL PROTOCOLS; DECISION SUPPORT SYSTEMS, CLINICAL; DIURETICS; FEMALE; FUROSEMIDE; HUMANS; MALE; MIDDLE AGED; PROSPECTIVE STUDIES; RADIOISOTOPE RENOGRAPHY; RADIOPHARMACEUTICALS; RETROSPECTIVE STUDIES; TECHNETIUM TC 99M MERTIATIDE; URETERAL OBSTRUCTION;

EID: 34247600940     PISSN: 0361803X     EISSN: None     Source Type: Journal    
DOI: 10.2214/AJR.06.0931     Document Type: Article

References (29)

1. O'Reilly P, Aurell M, Britton K, Kletter K, Rosenthal L, Testa T. Consensus on diuresis renography for investigating the dilated upper urinary tract. J Nucl Med 1996; 37:1872-1876
2. Kuyvenhoven J, Piepsz A, Ham H. When could the administration of furosemide be avoided? Clin Nucl Med 2003; 28:732-737
3. IMV Medical Information Division. 2003 nuclear medicine census market summary report. Des Plaines, IL: IMV Limited, 2003:7-11
4. Garcia EV, Halkar R, Folks R, Krishna M, Taylor A. RENEX: an expert system for the interpretation of Tc-99m MAG3 scans to detect renal obstruction. J Nucl Med 2005; 46:205P-206P
5. Garcia EV, Taylor A, Halkar R, et al. RENEX: an expert system for the interpretation of Tc-99m MAG3 scans to detect renal obstruction. J Nucl Med 2006; 47:320-329
6. Breiman L, Friedman J, Olshen R, Stone C. Classification and regression trees. Belmont, CA: Wadsworth, 1984
7. Taylor A Jr, Corrigan PL, Galt J, et al. Measuring technetium-99m-MAG3 clearance with an improved camera-based method. J Nucl Med 1995; 36:1689-1695
8. Taylor A, Manatunga A, Morton K, et al. Multicenter trial validation of a camera-based method to measure Tc-99m mercaptoacetyltriglycine, or Tc-99m MAG3, clearance. Radiology 1997; 204:47-54
9. Taylor A, Lewis C, Giacometti A, et al. Improved formulas for the estimation of renal depth in adults. J Nucl Med 1993; 34:1766-1769
10. Taylor A. Formulas to estimate renal depth in adults. J Nucl Med 1994; 35:2054-2055
11. Shortliffe EH. Computer-based medical consultations: MYCIN. Amsterdam, The Netherlands: Elsevier Scientific Publishing, 1976:264
12. Garcia EV, Cooke CD, Folks RD, et al. Diagnostic performance of an expert system for the interpretation of myocardial perfusion SPECT studies. J Nucl Med 2001; 42:1185-1191
13. Ezquerra N, Mullick R, Cooke D, Krawczynska E, Garcia E. PERFEX: an expert system for interpreting 3D myocardial perfusion. Expert Systems with Applications 1993; 6:459-468
14. Esteves FP, Halkar RK, Issa MM, Grant S, Taylor A. Comparison of camera-based Tc-99m MAG3 and 24-hour creatinine clearances for evaluation of kidney function. AJR 2006; 187:833; [Web] W316-W319
15. 99mTc-MAG3 clearance, MAG3 curve parameters, excretory parameters, and residual urine volume. AJR 2006; 187:1563; [Web] W1-W8
16. Venables WN, Ripley BD. Modern applied statistics with S-plus, 3rd ed. New York, NY: Springer-Verlag, 1999:303-310
17. Hastie T, Tibshirani R, Friedman J. The elements of statistical learning: data mining, inference, and prediction. New York, NY: Springer, 2001:246-250
18. R Project Web site. Comprehensive R Archive Network (CRAN). Available at www.r-project.org. Accessed January 19, 2007
19. Efron B, Tibshirani R. An introduction to the bootstrap. London, UK: Chapman and Hall, 1993
20. McNemar Q. Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika 1947; 12:153-157
21. Newcombe RG. Two-sided confidence intervals for the single proportion: comparison of seven methods. Stat Med 1998; 17:857-872
22. Agresti A, Coull BA. Approximate is better than "exact" for interval estimation of binomial proportions. Am Statistician 1998; 52:119-126
23. Fujita H, Katafuchi T, Uehara T, Nishimura T. Application of neural network to computer-aided diagnosis of coronary artery disease in myocardial SPECT bull's-eye images. J Nucl Med 1992; 33:272-276
24. Porenta G, Dorffner G, Kundrat S, Petta P, Duit-Schedlmayer J, Sochor H. Automated interpretation of planar thallium-201-dipyridamole stress-redistribution scintigrams using artificial neural networks. J Nucl Med 1994; 35:2041-2047
25. Hamilton D, Riley PJ, Miola UJ, Amro AA. A feed forward neural network for classification of bull's-eye myocardial perfusion images. Eur J Nucl Med 1995; 22:108-115
26. Haddad M, Adlassnig KP, Porenta G. Feasibility analysis of a case-based reasoning system for automated detection of coronary heart disease from myocardial scintigrams. Artif Intell Med 1997; 9:61-78
27. Michaely HJ, Schoenberg SO, Carina I, Dikow R, Bock M, Guenther M. Renal disease: value of functional magnetic resonance imaging with flow and perfusion measurements. Invest Radiol 2004; 39:698-705
28. 0 scintigraphy in decision making for emergency intervention in renal colic after helical CT positive for a urolith. J Nucl Med 2000; 41:1813-1822
29. Wong DC, Rossleight MA, Farnsworth RH. F + 0 diuresis renography in infants and children. J Nucl Med 1999; 40:1805-1811