Blog: Artificial intelligence could prevent unneeded tests in patients with stable chest pain – EurekAlert
Lisbon, Portugal – 12 May 2019: Artificial intelligence (AI) could prevent unnecessary diagnostic tests in patients with stable chest pain, according to research presented today at ICNC 2019.1 A decision support system saved one hour of testing per patient.
The International Conference on Nuclear Cardiology and Cardiac CT (ICNC) is co-organised by the American Society of Nuclear Cardiology (ASNC), the European Association of Cardiovascular Imaging (EACVI) of the European Society of Cardiology (ESC), and the European Association of Nuclear Medicine (EANM).
Study author Dr Marco Mazzanti, of the Royal Brompton Hospital, London, UK, said: “We know that doctors overtest patients and ignore recommendations about when a test justified about two-thirds of the time. Our ‘super brain’ decision support system, called ARTICA, strictly follows ESC guidelines and does not advise unnecessary examinations.”
The study enrolled 982 patients with stable chest pain, a frequent cause of visits to emergency departments and general practitioners. The researchers compared decisions on which tests to perform made by a cardiologist and by ARTICA on the same day. ARTICA advised no further testing in 658 (67%) patients whereas a cardiologist decided that only 45 (4.6%) patients did not need more tests.
A computed tomography angiography (CTA) scan showed that 639 (97%) of the patients ARTICA said did not need tests had no significant coronary artery disease, meaning the decision was correct. Avoiding these tests would save staff one hour and patients two hours on average.
Dr Mazzanti said: “AI has the potential to save costs and staff time by identifying patients with chest pain who do not have significant coronary artery disease and therefore do not need expensive cardiac imaging.”
To take one example, a CTA scan, used to look for blocked blood vessels, costs €200-400. Cardiologists recommended it for 816 (83%) patients while ARTICA recommended it for just 95 patients (10%).
Dr Mazzanti said: “As doctors we order a lot of tests which cost a lot of money and waste time. ARTICA is like a second set of eyes to make sure we follow recommendations.”
He noted that ARTICA recommended exercise testing or functional imaging for 224 (23%) patients while cardiologists recommended it for just 100 (10%) patients. “We know that when ARTICA says don’t do a test it is almost 100% right because the CTA scan confirmed no blocked arteries,” said Dr Mazzanti. “When ARTICA decides a test is needed, we are less certain that this is correct. By adding more data to the super brain these decisions will become more accurate and enable us to deliver more personalised care.”
ARTICA, which stands for ARTificial Intelligence for clinical Cardiac nAvigation, is a decision support system created by the researchers. It uses machine learning, a type of AI, to make decisions that adhere to recommended practice. The researchers inputted guidelines for patients with stable chest pain2 and routinely collected medical data. A machine learning algorithm analysed the information repeatedly until it learned to identify who needed a test (and which test) and who did not.
Authors: ESC Press Office
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Notes to editor
Sources of funding: None.
References and notes
1 The abstract ‘Cost analysis of cardiac imaging using artificial intelligence in subjects with stable chest pain. Results from the ARTICA database’ will be presented during the Best oral abstract session on Sunday 12 May at 10:05 to 10:55 WEST in room Porto.
2 Montalescot G, Sechtem U, Achenbach S, et al. 2013 ESC guidelines on the management of stable coronary artery disease. Eur Heart J. 2013;34:2949-3003. doi:10.1093/eurheartj/eht296.
The International Conference on Nuclear Cardiology and Cardiac CT (ICNC) is held every two years and is co-organised by the European Association of Cardiovascular Imaging (EACVI) of the European Society of Cardiology (ESC), the American Society of Nuclear Cardiology (ASNC), and the European Association of Nuclear Medicine (EANM).
About the American Society of Nuclear Cardiology (ASNC)
ASNC, located in Fairfax (Virginia, USA) is committed to excellence in imaging. Representing over 4,500 nuclear cardiologists, radiologists, technologists, scientists and academics all over the world. ASNC is the leader in the development of established standards of care and guidelines in nuclear cardiovascular imaging. ASNC continuously supports the advancement of the profession through education, research, and advocacy.
About the European Association of Cardiovascular Imaging (EACVI)
The European Association of Cardiovascular Imaging (EACVI) – a branch of the ESC – is the world leading network of Cardiovascular Imaging (CVI) experts, gathering four imaging modalities under one entity (Echocardiography, Cardiovascular Magnetic Resonance, Nuclear Cardiology and Cardiac Computed Tomography). Its aim is to promote excellence in clinical diagnosis, research, technical development, and education in cardiovascular imaging. The EACVI welcomes over 11,000 professionals including cardiologists, sonographers, nurses, basic scientists and allied professionals.
About the European Society of Cardiology
The European Society of Cardiology brings together health care professionals from more than 150 countries, working to advance cardiovascular medicine and help people lead longer, healthier lives.
About the European Association of Nuclear Medicine (EANM)
The European Association of Nuclear Medicine (EANM) is the largest organisation dedicated to nuclear medicine and multimodality imaging in Europe, with a strong focus on interdisciplinary. This is especially reflected in the educational offers of the European School of Multimodality Imaging and Therapy (ESMIT) and the programme of the EANM Annual Congress.
Information for journalists attending ICNC 2019
ICNC 2019 will be held 12 to 14 May at the Lisbon Congress Centre (CCL) in Lisbon, Portugal. Explore the scientific programme.
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