Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Mar:15:100126.
doi: 10.1016/j.ahjo.2022.100126. Epub 2022 Apr 6.

Artificial intelligence and imaging: Opportunities in cardio-oncology

Nidhi Madan  1 , Julliette Lucas  2 , Nausheen Akhter  3 , Patrick Collier  4 , Feixiong Cheng  5 , Avirup Guha  6 , Lili Zhang  7 , Abhinav Sharma  8 , Abdulaziz Hamid  2 , Imeh Ndiokho  2 , Ethan Wen  2 , Noelle C Garster  8 , Marielle Scherrer-Crosbie  9 , Sherry-Ann Brown  10
Affiliations

Artificial intelligence and imaging: Opportunities in cardio-oncology

Nidhi Madan et al. Am Heart J Plus. 2022 Mar.

Abstract

Cardiovascular disease is a leading cause of death in cancer survivors. It is critical to apply new predictive and early diagnostic methods in this population, as this can potentially inform cardiovascular treatment and surveillance decision-making. We discuss the application of artificial intelligence (AI) technologies to cardiovascular imaging in cardio-oncology, with a particular emphasis on prevention and targeted treatment of a variety of cardiovascular conditions in cancer patients. Recently, the use of AI-augmented cardiac imaging in cardio-oncology is gaining traction. A large proportion of cardio-oncology patients are screened and followed using left ventricular ejection fraction (LVEF) and global longitudinal strain (GLS), currently obtained using echocardiography. This use will continue to increase with new cardiotoxic cancer treatments. AI is being tested to increase precision, throughput, and accuracy of LVEF and GLS, guide point-of-care image acquisition, and integrate imaging and clinical data to optimize the prediction and detection of cardiac dysfunction. The application of AI to cardiovascular magnetic resonance imaging (CMR), computed tomography (CT; especially coronary artery calcium or CAC scans), single proton emission computed tomography (SPECT) and positron emission tomography (PET) imaging acquisition is also in early stages of analysis for prediction and assessment of cardiac tumors and cardiovascular adverse events in patients treated for childhood or adult cancer. The opportunities for application of AI in cardio-oncology imaging are promising, and if availed, will improve clinical practice and benefit patient care.

Keywords: Artificial intelligence; Cancer; Cardiac tumors; Cardio-oncology; Echocardiography; Imaging.

PubMed Disclaimer

Conflict of interest statement

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig. 1
Fig. 1
Opportunities for the application of artificial intelligence to echocardiography in Cardio-Oncology include automation of left ventricular function assessment and strain, as well as real-time AI-guided image acquisition particularly with point-of-care tools at the bedside, in the examination room, or in low resource settings.
Fig. 2
Fig. 2
Implementing artificial intelligence in imaging in cardio-oncology clinical practice.
See this image and copyright information in PMC

References

    1. HN Noone A.M., Krapcho M., Miller D., Brest A., Yu M., Ruhl J., Tatalovich Z., Mariotto A., Lewis D.R., Chen H.S., Feuer E.J., Cronin K.A., editors. SEER Cancer Statistics Review, 1975-2015. National Cancer Institute; Bethesda, MD: 2018. https://seer.cancer.gov/csr/1975_2015/ Available from:
    1. Chow E.J., Leger K.J., Bhatt N.S., Mulrooney D.A., Ross C.J., Aggarwal S., et al. Paediatric cardio-oncology: epidemiology, screening, prevention, and treatment. Cardiovasc. Res. 2019;115(5):922–934. - PMC - PubMed
    1. Mehta L.S., Watson K.E., Barac A., Beckie T.M., Bittner V., Cruz-Flores S., et al. Cardiovascular disease and breast cancer: where these entities intersect: a scientific statement from the American Heart Association. Circulation. 2018;137(8):e30–e66. - PMC - PubMed
    1. Patnaik J.L., Byers T., DiGuiseppi C., Dabelea D., Denberg T.D. Cardiovascular disease competes with breast cancer as the leading cause of death for older females diagnosed with breast cancer: a retrospective cohort study. Breast Cancer Res. 2011;13(3):R64. - PMC - PubMed
    1. Sturgeon K.M., Deng L., Bluethmann S.M., Zhou S., Trifiletti D.M., Jiang C., et al. A population-based study of cardiovascular disease mortality risk in US cancer patients. Eur. Heart J. 2019;40(48):3889–3897. - PMC - PubMed