Prediction of revascularization after myocardial perfusion SPECT by machine learning in a large population

Journal of Nuclear Cardiology

Volumn 22, Issue 5, 2015, Pages 877-884

  Arsanjani, Reza ^a,c   Dey, Damini ^a,c   Khachatryan, Tigran ^a   Shalev, Aryeh ^a   Hayes, Sean W ^a   Fish, Mathews ^b   Nakanishi, Rine ^a   Germano, Guido ^a,c   Berman, Daniel S ^a,c   Slomka, Piotr ^a,c,d  

^a CEDARS SINAI MEDICAL CENTER   (United States)

^b Sacred Heart Medical Center   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d Artificial Intelligence in Medicine Program   (United States)

Author keywords

coronary artery disease; Machine learning; myocardial perfusion SPECT; revascularization; total perfusion deficit

Indexed keywords

METHOXY ISOBUTYL ISONITRILE TECHNETIUM TC 99M; RADIOPHARMACEUTICAL AGENT; THALLIUM;

ADULT; AGED; ANGIOCARDIOGRAPHY; ARTICLE; CLINICAL FEATURE; CORONARY ARTERY BYPASS GRAFT; CORONARY ARTERY DISEASE; DIABETES MELLITUS; ELECTROCARDIOGRAM; EXERCISE; FEMALE; HEART EJECTION FRACTION; HEART MUSCLE PERFUSION; HUMAN; HYPERTENSION; IMAGE RECONSTRUCTION; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; PERCUTANEOUS CORONARY INTERVENTION; PRIORITY JOURNAL; REVASCULARIZATION; SINGLE PHOTON EMISSION COMPUTER TOMOGRAPHY; ST SEGMENT DEPRESSION; ALGORITHM; CHEMISTRY; CORONARY ANGIOGRAPHY; DIAGNOSTIC IMAGING; ELECTROCARDIOGRAPHY; EXERCISE TEST; HEART; HEART MUSCLE REVASCULARIZATION; IMAGE PROCESSING; MYOCARDIAL PERFUSION IMAGING; RETROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY; SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY;

AGED; ALGORITHMS; CORONARY ANGIOGRAPHY; CORONARY ARTERY DISEASE; ELECTROCARDIOGRAPHY; EXERCISE TEST; FEMALE; HEART; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MACHINE LEARNING; MALE; MIDDLE AGED; MYOCARDIAL PERFUSION IMAGING; MYOCARDIAL REVASCULARIZATION; RADIOPHARMACEUTICALS; RETROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY; TECHNETIUM TC 99M SESTAMIBI; THALLIUM RADIOISOTOPES; TOMOGRAPHY, EMISSION-COMPUTED, SINGLE-PHOTON;

EID: 84942295208     PISSN: 10713581     EISSN: 15326551     Source Type: Journal    
DOI: 10.1007/s12350-014-0027-x     Document Type: Article

References (33)

1. Klocke FJ, Baird MG, Lorell BH, Bateman TM, Messer JV, Berman DS, et al. ACC/AHA/ASNC guidelines for the clinical use of cardiac radionuclide imaging—Executive summary. Circulation 2003;108:1404-18.
2. Gould KL, Lipscomb K, Hamilton GW. Physiologic basis for assessing critical coronary stenosis. Instantaneous flow response and regional distribution during coronary hyperemia as measures of coronary flow reserve. Am J Cardiol 1974;33:87-94.
3. Holly TA, Abbott BG, Al-Mallah M, Calnon DA, Cohen MC, DiFilippo FP, et al. Single photon-emission computed tomography. J Nucl Cardiol 2010;17:941-73.
4. Danias PG, Ahlberg AW, Travin MI, Mahr NC, Abreu JE, Marini D, et al. Visual assessment of left ventricular perfusion and function with electrocardiography-gated SPECT has high intraobserver and interobserver reproducibility among experienced nuclear cardiologists and cardiology trainees. J Nucl Cardiol 2002;9:263-70.
5. Amanullah AM, Berman DS, Hachamovitch R, Kiat H, Kang X, Friedman JD. Identification of severe or extensive coronary artery disease in women by adenosine technetium-99m sestamibi SPECT. Am J Cardiol 1997;80:132-7.
6. Slomka PJ, Nishina H, Berman DS, Akincioglu C, Abidov A, Friedman JD, et al. Automatic quantification of myocardial perfusion stress-rest change: A new measure of ischemia. J Nucl Med 2004;45:183-91.
7. Slomka PJ, Nishina H, Berman DS, Akincioglu C, Abidov A, Friedman JD, et al. Automated quantification of myocardial perfusion SPECT using simplified normal limits. J Nucl Cardiol 2005;12:66-77.
8. Abidov A, Bax JJ, Hayes SW, Hachamovitch R, Cohen I, Gerlach J, et al. Transient ischemic dilation ratio of the left ventricle is a significant predictor of future cardiac events in patients with otherwise normal myocardial perfusion SPECT. J Am Coll Cardiol 2003;42:1818-25.
9. Johnson LL, Verdesca SA, Aude WY, Xavier RC, Nott LT, Campanella MW, et al. Postischemic stunning can affect left ventricular ejection fraction and regional wall motion on post-stress gated sestamibi tomograms. J Am Coll Cardiol 1997;30:1641-8.
10. Arsanjani R, Xu Y, Hayes SW, Fish M, Lemley M, Gerlach J, et al. Comparison of fully automated computer analysis and visual scoring for detection of coronary artery disease from myocardial perfusion SPECT in a large population. J Nucl Med 2013;54:221-8.
11. Arsanjani R, Xu Y, Dey D, Vahistha V, Shalev A, Nakanishi R, et al. Improved accuracy of myocardial perfusion SPECT for detection of coronary artery disease by machine learning in a large population. J Nucl Cardiol 2013;20:553-62.
12. Friedman J, Hastie T, Tibshirani R. Additive logistic regression: A statistical view of boosting (with discussion and a rejoinder by the authors). Ann Stat 2000;28:337-407.
13. Berman DS, Kiat H, Friedman JD, Wang FP, Van-Train K, Matzer L, et al. Separate acquisition rest thallium-201/stress technetium-99m sestamibi dual-isotope myocardial perfusion single-photon emission computed tomography: A clinical validation study. J Am Coll Cardiol 1993;22:1455-64.
14. Nishina H, Slomka PJ, Abidov A, Yoda S, Akincioglu C, Kang X, et al. Combined supine and prone quantitative myocardial perfusion SPECT: Method development and clinical validation in patients with no known coronary artery disease. J Nucl Med 2006;47:51-8.
15. Amanullah AM, Kiat H, Friedman JD, Berman DS. Adenosine technetium-99m sestamibi myocardial perfusion SPECT in women: Diagnostic efficacy in detection of coronary artery disease. J Am Coll Cardiol 1996;27:803-9.
16. Berman DS, Kang X, Hayes SW, Friedman JD, Cohen I, Abidov A, et al. Adenosine myocardial perfusion single-photon emission computed tomography in women compared with men. Impact of diabetes mellitus on incremental prognostic value and effect on patient management. J Am Coll Cardiol 2003;41:1125-33.
17. Hayes SW, De Lorenzo A, Hachamovitch R, Dhar SC, Hsu P, Cohen I, et al. Prognostic implications of combined prone and supine acquisitions in patients with equivocal or abnormal supine myocardial perfusion SPECT. J Nucl Med 2003;44:1633-40.
18. Germano G, Kavanagh PB, Su HT, Mazzanti M, Kiat H, Hachamovitch R, et al. Automatic reorientation of three-dimensional, transaxial myocardial perfusion SPECT images. J Nucl Med 1995;36:1107-14.
19. Matsumoto N, Berman DS, Kavanagh PB, Gerlach J, Hayes SW, Lewin HC, et al. Quantitative assessment of motion artifacts and validation of a new motion-correction program for myocardial perfusion SPECT. J Nucl Med 2001;42:687-94.
20. Germano G, Kavanagh PB, Slomka PJ, Van Kriekinge SD, Pollard G, Berman DS. Quantitation in gated perfusion SPECT imaging: The Cedars-Sinai approach. J Nucl Cardiol 2007;14:433-54.
21. Diamond GA, Forrester JS. Analysis of probability as an aid in the clinical diagnosis of coronary-artery disease. N Engl J Med 1979;300:1350-8.
22. Xu Y, Arsanjani R, Clond M, Hyun M, Lemley M Jr, Fish M, et al. Transient ischemic dilation for coronary artery disease in quantitative analysis of same-day sestamibi myocardial perfusion SPECT. J Nucl Cardiol 2012;19:465-73.
23. Cerqueira MD, Weissman NJ, Dilsizian V, Jacobs AK, Kaul S, Laskey WK, et al. Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart: A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association. Circulation 2002;105:539-42.
24. Guyon I, Elisseeff A. An introduction to variable and feature selection. J Mach Learn Res 2003;3:1157-82.
25. Hall M, Frank E, Holmes G, Pfahringer B, Reutemann P, Witten I. The WEKA data mining software: An update. SIGKDD Explor 2009;11:10-8.
26. Molinaro AM, Simon R, Pfeiffer RM. Prediction error estimation: A comparison of resampling methods. Bioinforma Oxf Engl 2005;21:3301-7.
27. Geisser S. Predictive inference: An introduction. New York: Chapman & Hall; 1993. p. 31-42.
28. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach. Biometrics 1988;44:837-45.
29. Patel MR, Peterson ED, Dai D, Brennan JM, Redberg RF, Anderson HV, et al. Low diagnostic yield of elective coronary angiography. N Engl J Med 2010;362:886-95.
30. Golub RJ, Ahlberg AW, McClellan JR, Herman SD, Travin MI, Mather JF, et al. Interpretive reproducibility of stress Tc-99 m sestamibi tomographic myocardial perfusion imaging. J Nucl Cardiol 1999;6:257-69.
31. Golub RJ, McClellan JR, Herman SD, Travin MI, Kline GM, Aitken PW, et al. Effectiveness of nuclear cardiology training guidelines: A comparison of trainees with experienced readers. J Nucl Cardiol 1996;3:114-8.
32. Hachamovitch R, Hayes SW, Friedman JD, Cohen I, Berman DS. Comparison of the short-term survival benefit associated with revascularization compared with medical therapy in patients with no prior coronary artery disease undergoing stress myocardial perfusion single photon emission computed tomography. Circulation 2003;107:2900-7.
33. Hachamovitch R, Rozanski A, Shaw LJ, Stone GW, Thomson LE, Friedman JD, et al. Impact of ischaemia and scar on the therapeutic benefit derived from myocardial revascularization vs. medical therapy among patients undergoing stress-rest myocardial perfusion scintigraphy. Eur Heart J 2011;32:1012-24.