The Future of Cardiac Imaging: Report of a Think Tank Convened by the American College of Cardiology

JACC: Cardiovascular Imaging

Volumn 9, Issue 10, 2016, Pages 1211-1223

  Douglas, Pamela S ^a,k   Cerqueira, Manuel ^k   Berman, Daniel S ^c,k   Chinnaiyan, Kavitha ^d,k   Cohen, Meryl ^k   Lundbye, Justin ^k   Patel, Rajan A G ^g,k   Sengupta, Partho P ^h,k   Soman, Prem ^i,k   Weissman, Neil J ^j,k   Wong, Timothy C ^i,k   Asch, Federico ^k   Bateman, Timothy M ^k   Biesbrock, Ginger ^k   Brinker, Jeffrey ^k   Brophy, David ^k   Dilsizian, Vasken ^k   Dudley, Joel ^k   Epstein, Frederick ^k   Gillam, Linda ^k   McCallister, Ben ^k   Narula, Jagat ^k   Reynolds, David ^k   Schoepf, U Joseph ^k   Shah, Nishant ^k   Udelson, James E ^k   Valeti, Uma S ^k   Walsh, Mary Norine ^k   Ward, R Parker ^k   Weigold, W Guy ^k   White, Richard D ^k   Wolinsky, David ^k   Zoghbi, William A ^k   more..

^a DUKE UNIVERSITY MEDICAL CENTER   (United States)

^b CLEVELAND CLINIC LERNER COLLEGE OF MEDICINE   (United States)

^c CEDARS SINAI MEDICAL CENTER   (United States)

^d WILLIAM BEAUMONT HOSPITAL   (United States)

^e UNIVERSITY OF PENNSYLVANIA   (United States)

^f NEW BRITAIN GENERAL HOSPITAL   (United States)

^g JOHN OCHSNER HEART AND VASCULAR INSTITUTE   (United States)

^h MOUNT SINAI SCHOOL OF MEDICINE   (United States)

ⁱ UNIVERSITY OF PITTSBURGH MEDICAL CENTER   (United States)

^j MEDSTAR RESEARCH INSTITUTE   (United States)

^k UPMC Heart and Vascular Institute ^*

more..

Author keywords

cardiac imaging; cardiac service line; imaging training; informatics; innovation

Indexed keywords

CARDIAC IMAGING; CLINICAL COMPETENCE; CLINICAL OUTCOME; CLINICAL PRACTICE; CLINICAL STUDY; DATA ANALYSIS; DIAGNOSTIC VALUE; FUNDING; HEALTH CARE NEED; HEALTH CARE SYSTEM; HUMAN; IMAGE QUALITY; INFORMATION PROCESSING; MEDICAL EDUCATION; MEDICAL SOCIETY; MULTIMODAL IMAGING; PATIENT CARE; PRIORITY JOURNAL; RANDOMIZED CONTROLLED TRIAL (TOPIC); REVIEW; ADVISORY COMMITTEE; DIAGNOSTIC IMAGING; FORECASTING; GROUP PROCESS; HEART DISEASE; MASS COMMUNICATION; PREDICTIVE VALUE; THINKING; TRENDS;

ADVISORY COMMITTEES; CARDIAC IMAGING TECHNIQUES; DIFFUSION OF INNOVATION; FORECASTING; GROUP PROCESSES; HEART DISEASES; HUMANS; PREDICTIVE VALUE OF TESTS; SOCIETIES, MEDICAL; THINKING;

EID: 84994085908     PISSN: 1936878X     EISSN: 18767591     Source Type: Journal    
DOI: 10.1016/j.jcmg.2016.02.027     Document Type: Review

References (53)

1. 1 Douglas, P., Iskandrian, A.E., Krumholz, H.M., et al. Achieving quality in cardiovascular imaging: proceedings from the American College of Cardiology–Duke University Medical Center Think Tank on Quality in Cardiovascular Imaging. J Am Coll Cardiol 48 (2006), 2141–2151.
2. 2 Douglas, P.S., Chen, J., Gillam, L., et al. Achieving quality in cardiovascular imaging II: proceedings from the Second American College of Cardiology–Duke University Medical Center Think Tank on Quality in Cardiovascular Imaging. J Am Coll Cardiol Img 2 (2009), 231–240.
3. 3 Douglas, P.S., Carr, J.J., Cerqueira, M.D., et al. Developing an action plan for patient radiation safety in adult cardiovascular medicine: proceedings from the Duke University Clinical Research Institute/American College of Cardiology Foundation/American Heart Association Think Tank held on February 28, 2011. J Am Coll Cardiol 59 (2012), 1833–1847.
4. 4 Hendel, R.C., Patel, M.R., Allen, J.M., et al. Appropriate use of cardiovascular technology: 2013 ACCF appropriate use criteria methodology update: a report of the American College of Cardiology Foundation appropriate use criteria task force. J Am Coll Cardiol 61 (2013), 1305–1317.
5. 5 Bonow, R.O., Douglas, P.S., Buxton, A.E., et al. ACCF/AHA methodology for the development of quality measures for cardiovascular technology: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Performance Measures. J Am Coll Cardiol 58 (2011), 1517–1538.
6. 6 Douglas, P.S., Hoffmann, U., Patel, M.R., et al. Outcomes of anatomical versus functional testing for coronary artery disease. N Engl J Med 372 (2015), 1291–1300.
7. 7 Shaw, L.J., Berman, D.S., Picard, M.H., et al. Comparative definitions for moderate-severe ischemia in stress nuclear, echocardiography, and magnetic resonance imaging. J Am Coll Cardiol Img 7 (2014), 593–604.
8. 8 American College of Cardiology. Available at: www.acc.org. Accessed June 24, 2016.
9. 9 American College of Radiology. Available at: www.acr.org. Accessed June 24, 2016.
10. 10 American Heart Association. Available at: www.heart.org. Accessed June 24, 2016.
11. 11 American Society of Echocardiography. Available at: www.asecho.org. Accessed June 24, 2016.
12. 12 American Society of Nuclear Cardiology. Available at: www.asnc.org. Accessed June 24, 2016.
13. 13 Intersocietal Accreditation Commission. Available at: www.intersocietal.org. Accessed June 24, 2016.
14. 14 Radiological Society of North America. Available at: www.rsna.org. Accessed June 24, 2016.
15. 15 The Society for Cardiovascular Angiography and Interventions. Available at: www.scai.org. Accessed June 24, 2016.
16. 16 Society for Cardiovascular Magnetic Resonance. Available at: www.scmr.org. Accessed June 24, 2016.
17. 17 Society of Cardiovascular Computed Tomography. Available at: www.scct.org. Accessed June 24, 2016.
18. 18 Society of Nuclear Medicine and Molecular Imaging. Available at: www.snmmi.org. Accessed June 24, 2016.
19. 19 Douglas, P.S., Picard, M.H., Healthcare reform for imagers: finding a way forward now. J Am Coll Cardiol Img 6 (2013), 385–391.
20. 20 Chinnaiyan, K.M., Peyser, P., Goraya, T., et al. Impact of a continuous quality improvement initiative on appropriate use of coronary computed tomography angiography: results from a multicenter, statewide registry, the Advanced Cardiovascular Imaging Consortium. J Am Coll Cardiol 60 (2012), 1185–1191.
21. 21 Chinnaiyan, K.M., Boura, J.A., DePetris, A., et al. Progressive radiation dose reduction from coronary computed tomography angiography in a statewide collaborative quality improvement program: results from the Advanced Cardiovascular Imaging Consortium. Circ Cardiovasc Imaging 6 (2013), 646–654.
22. 22 Porter, M.E., What is value in health care?. N Engl J Med 363 (2010), 2477–2481.
23. 23 Sarwar, A., Boland, G., Monks, A., Kruskal, J.B., Metrics for radiologists in the era of value-based health care delivery. Radiographics 35 (2015), 866–876.
24. 24 Heidenreich, P.A., Gholami, P., Sahay, A., Massie, B., Goldstein, M.K., Clinical reminders attached to echocardiography reports of patients with reduced left ventricular ejection fraction increase use of beta-blockers: a randomized trial. Circulation 115 (2007), 2829–2834.
25. 25 SCOT-HEART Investigators. CT coronary angiography in patients with suspected angina due to coronary heart disease (SCOT-HEART): an open-label, parallel-group, multicentre trial [published correction appears in Lancet 2015;385:2354]. Lancet 385 (2015), 2383–2391.
26. 26 Phillips, R.A., Cyr, J., Keaney, J.F. Jr., et al. Creating and maintaining a successful service line in an academic medical center at the dawn of value-based care: lessons learned from the heart and vascular service line at UMass Memorial Health Care. Acad Med 90 (2015), 1340–1346.
27. 18F-FDG and integration with clinical management teams: the Ottawa-FIVE substudy of the PARR 2 trial. J Nucl Med 51 (2010), 567–574.
28. 28 Thomas, J.D., Zoghbi, W.A., Beller, G.A., et al. ACCF 2008 training statement on multimodality noninvasive cardiovascular imaging a report of the American College of Cardiology Foundation/American Heart Association/American College of Physicians Task Force on Clinical Competence and Training Developed in Collaboration With the American Society of Echocardiography, the American Society of Nuclear Cardiology, the Society of Cardiovascular Computed Tomography, the Society for Cardiovascular Magnetic Resonance, and the Society for Vascular Medicine. J Am Coll Cardiol 53 (2009), 125–146.
29. 29 Narula, J., Chandrashekhar, Y.S., Dilsizian, V., et al. COCATS 4 Task Force 4: Training in Multimodality Imaging. J Am Coll Cardiol 65 (2015), 1778–1785.
30. 30 Shah, N.R., Cullen, M.W., Cheezum, M.K., Julien, H., Sivaram, C.A., Soman, P., Current state of advanced cardiovascular imaging training in the United States. J Am Coll Cardiol Img 9 (2016), 1120–1121.
31. 31 Berwick, D.M., Launching accountable care organizations: the proposed rule for the Medicare Shared Savings Program. N Engl J Med, 364, 2011, e32.
32. 32 Harrington, R.A., Califf, R.M., There is a role for industry-sponsored education in cardiology. Circulation 121 (2010), 2221–2227.
33. 33 Yanavitski, M., Innovation in cardiology fellowship and early careers. J Am Coll Cardiol 64 (2014), 523–525.
34. 34 Collins, F.S., Varmus, H., A new initiative on precision medicine. N Engl J Med 372 (2015), 793–795.
35. 35 Narula, J., Are we up to speed? From big data to rich insights in CV imaging for a hyperconnected world. J Am Coll Cardiol Img 6 (2013), 1222–1224.
36. 36 Collaborative quality initiatives. Blue Cross Blue Shield of Michigan website. Available at: http://www.bcbsm.com/providers/value-partnerships/collaborative-quality-initiatives.html. Accessed June 24, 2016.
37. 37 Sengupta, P.P., Intelligent platforms for disease assessment: novel approaches in functional echocardiography. J Am Coll Cardiol Img 6 (2013), 1206–1211.
38. 38 Barla, A., Jurman, G., Riccadonna, S., Merler, S., Chierici, M., Furlanello, C., Machine learning methods for predictive proteomics. Brief Bioinform 9 (2008), 119–128.
39. 39 Larrañaga, P., Calvo, B., Santana, R., et al. Machine learning in bioinformatics. Brief Bioinform 7 (2006), 86–112.
40. 40 Libbrecht, M.W., Noble, W.S., Machine learning applications in genetics and genomics. Nat Rev Genet 16 (2015), 321–332.
41. 41 Cohen, A.M., Smalheiser, N.R., McDonagh, M.S., et al. Automated confidence ranked classification of randomized controlled trial articles: an aid to evidence-based medicine. J Am Med Inform Assoc 22 (2015), 707–717.
42. 42 Badawi, O., Brennan, T., Celi, L.A., et al. Making big data useful for health care: a summary of the inaugural MIT critical data conference. JMIR Med Inform, 2, 2014, e22.
43. 43 Mell, P., Grance, T., The NIST Definition of Cloud Computing: Recommendations of the National Institute of Standards and Technology. NIST Special Publication 800-145. 2011, National Institute of Standards and Technology, U.S. Department of Commerce, Gaithersburg, MD.
44. 44 McComb, J.M., Implanted defibrillators and cancer: the power of registries. Europace 17 (2015), 1741–1742.
45. 45 Bhatt, D.L., Drozda, J.P. Jr., Shahian, D.M., et al. ACC/AHA/STS statement on the future of registries and the performance measurement enterprise: a report of the American College of Cardiology/American Heart Association Task Force on Performance Measures and The Society of Thoracic Surgeons. J Am Coll Cardiol 66 (2015), 2230–2245.
46. 46 MERIT-HR Study Group. Effect of metoprolol CR/XL in chronic heart failure: Metoprolol CR/XL Randomised Intervention Trial in Congestive Heart Failure (MERIT-HF). Lancet 353 (1999), 2001–2007.
47. 47 Packer, M., Bristow, M.R., Cohn, J.N., et al., for the U.S. Carvedilol Heart Failure Study Group. The effect of carvedilol on morbidity and mortality in patients with chronic heart failure. N Engl J Med 334 (1996), 1349–1355.
48. 48 Modell, B., Khan, M., Darlison, M., Westwood, M.A., Ingram, D., Pennell, D.J., Improved survival of thalassaemia major in the UK and relation to T2* cardiovascular magnetic resonance. J Cardiovasc Magn Reson, 10, 2008, 42.
49. 49 Poon, M., Cortegiano, M., Abramowicz, A.J., et al. Associations between routine coronary computed tomographic angiography and reduced unnecessary hospital admissions, length of stay, recidivism rates, and invasive coronary angiography in the emergency department triage of chest pain. J Am Coll Cardiol 62 (2013), 543–552.
50. 50 Hoffmann, U., Truong, Q.A., Schoenfeld, D.A., et al. Coronary CT angiography versus standard evaluation in acute chest pain. N Engl J Med 367 (2012), 299–308.
51. 51 Orakzai, R.H., Nasir, K., Orakzai, S.H., et al. Effect of patient visualization of coronary calcium by electron beam computed tomography on changes in beneficial lifestyle behaviors. Am J Cardiol 101 (2008), 999–1002.
52. 52 Rozanski, A., Gransar, H., Shaw, L.J., et al. Impact of coronary artery calcium scanning on coronary risk factors and downstream testing: a prospective randomized trial. J Am Coll Cardiol 57 (2011), 1622–1632.
53. 53 Nagueh, S.F., Bierig, S.M., Budoff, M.J., et al. American Society of Echocardiography clinical recommendations for multimodality cardiovascular imaging of patients with hypertrophic cardiomyopathy: endorsed by the American Society of Nuclear Cardiology, Society for Cardiovascular Magnetic Resonance, and Society of Cardiovascular Computed Tomography. J Am Soc Echocardiogr 24 (2011), 473–498.