CHARTing the future: bridging disciplines to revolutionize non-invasive cardiovascular imaging
Cardiovascular diseases (CVDs) continue to dominate global mortality statistics, accounting for over 34% of annual deaths worldwide according to 2025 epidemiological data (1). This persistent burden has galvanized multinational initiatives targeting both primary prevention and secondary intervention strategies.
Timely detection through non-invasive diagnostic imaging, such as X-rays, computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), and ultrasound, is critical for early intervention (2). These modalities enable identification of vascular anomalies before symptom onset, forming the cornerstone of guideline-directed therapy to reduce disease progression and mortality.
For decades, engineering and medical imaging have shared a partnership, from genesis of imaging to today’s advanced imaging systems (3). In modern healthcare, medical imaging has become increasingly indispensable in clinical diagnosis, disease treatment, and monitoring. This has further propelled the advancement of medical imaging and established itself as a quintessential paradigm of medicine-engineering collaboration: clinicians identify unmet clinical needs, engineers develop new technologies or modalities to address them, and the solutions ultimately return to clinical practice to aid in disease diagnosis and treatment (4,5).
This precisely represents the origin, developmental model, and cornerstone of modern cardiology and interventional cardiology. In 1976, a then-obscure 37-year-old Swiss cardiologist Andreas Grüntzig presented the pioneering research on the first coronary angioplasty conducted on dogs and submitted his poster to the American Heart Association Scientific Sessions. Although the poster faced rejection from the cardiology section, it was enthusiastically embraced in the radiology segment of the conference (6,7). Dr. Andreas Grüntzig subsequently applied this pioneering technique to humans in 1977, marking a revolutionary shift in the treatment of coronary artery disease.
As demonstrated by Dr. Grüntzig and his colleagues, a collaborative approach unrestricted by subspecialization can be truly transformative for the medical field. My foray into the field of cardiovascular non-invasive imaging followed a similar trajectory. Since learning about the pressure wire-based fractional flow reserve (FFR) technique at an academic conference in 2009, I have been dedicated to exploring ways to obtain this metric using non-invasive coronary CT and hemodynamic simulation technologies (8,9). Despite encountering difficulties in interdisciplinary collaboration and the intersection of medicine and engineering in the early stages, the CT-derived FFR (CT-FFR) technique has now achieved significant success (10-14).
Inspired by Dr. Grüntzig’s pioneering spirit and the twists and turns of my own research journey, we began to envision the establishment of a platform in 2016 to facilitate interdisciplinary dialogue, knowledge sharing, and technology transfer, with the aim of advancing cardiovascular imaging research and enhancing patient healthcare.
CHART was thus born out of such a backdrop, it stands for “Chinese Non-Invasive Cardiovascular Imaging and Physiology Club”, which was originally “CHinese non-invasive cARdiovascular imaging and physiology sTudy group”, and is an organization for research and innovation networks.
The “Actions” under CHART serve to bridge research initiatives both within China and internationally, empowering researchers and innovators to cultivate and expand their ideas across diverse scientific and technological domains through peer-to-peer sharing.
The logo incorporates a blend of a circular form and a cross (Figure 1), featuring subtle concentric circles at its core, symbolizing vision and precision targeting. The pictographic heart is placed at the logo’s center, together forming a “bull’s eye chart”. Numerous non-invasive cardiac imaging results are presented utilizing a 17-segment “bull’s eye chart”, which acts as a standardized visual representation across all non-invasive cardiovascular imaging techniques (15). The “heart” at the core is composed of two distinct sections: the lower part portrays a schematic representation of the parasternal long-axis view as seen in an echocardiogram, highlighting that the majority of non-invasive imaging examinations observe the heart or blood vessels through various cross-sectional views. The upper section, on the other hand, depicts the general appearance of the heart. The integration of these two sections symbolizes the convergence and mutual enhancement of diverse information in non-invasive cardiovascular imaging. It underscores the significance of focusing on both the anatomical and physiological aspects of the cardiovascular system, heralding the dawn of an era characterized by comprehensive assessment that seamlessly combines structural and functional evaluations. In terms of its color scheme, initially, the results from X-ray, CT, and ultrasound examinations of the heart were mainly rendered in black-and-white. However, with ongoing technological advancements, novel examination techniques have progressively emerged, including ultrasonic Doppler technology, radionuclide myocardial imaging, CT perfusion imaging, CT-FFR, cardiac MRI, among others. These techniques not only infuse cardiac assessments with vivid hues but also furnish comprehensive and varied data for cardiovascular evaluation, spanning structural, functional, and even cellular dimensions. The “colored heart” signifies not merely a superficial display of examination outcomes but also encapsulates the profound and extensive insights these examinations yield.
CHART will convene exceptional researchers who bring together diverse scientific expertise and state-of-the-art technologies to establish a collaborative platform for sharing insights, innovations, and educational materials. By doing so, it aims to drive scientific and imaging advancements that accelerate progress in the field and improve therapeutic outcomes for patients with cardiovascular conditions.
The initiative will leverage recent advancements and pivotal breakthroughs in scientific methodologies (as depicted in Figure 1), including (but not limited to):
- Omics-based technologies;
- Hemodynamics;
- Artificial intelligence;
- In vivo imaging to level with pathology.
These complementary resources will facilitate the development of harmonized and integrative approaches that extend from laboratory research to clinical application, offering novel insights not only into imaging techniques but also into their clinical significance. Meanwhile, CHART aims to make these accomplishments widely available to the entire imaging ecosystem.
A pivotal facet of the CHART initiative is the dissemination of knowledge. To achieve this, it will direct and promote the transfer of knowledge through a diverse range of channels:
- Multicenter innovative researches;
- Guideline or consensus development;
- Hands-on training for emerging techniques;
- Community-based knowledge dissemination;
- Digital centers/platform construction.
To date, CHART has conducted several pivotal clinical trials, including CHART-Blueprint (Brain-heart Interaction in Coronary Plaque Stability and Cardiovascular Events, Clinicaltrials.gov, unique identifier: NCT05545618), CHART-ACCORD [Lp(a) With CCTA Assessed Parameters and Clinical Outcomes, Clinicaltrials.gov, unique identifier: NCT05323227], and CHART-VISION (CHART Study of Coronary CT Angiography in Coronary Artery Disease, Clinicaltrials.gov, unique identifier: NCT05380622). These trials (16-21) have equipped clinicians with improved tools for diagnosing coronary artery disease, evaluating cardiovascular risks, and refining treatment strategies.
To enhance public awareness of diseases, information about the key accomplishments of the Action will be disseminated through a dedicated CHART Action website, newsletters, press releases, and social media platforms. On May 27, 2023, CHART convened its inaugural meeting in Shanghai (Figure 2).
Additionally, a significant milestone was marked by the formation of the CHART Alliance within the Guangdong-Hong Kong-Macao Greater Bay Area. By developing a lifecycle-oriented active health technology engine, CHART is spearheading a transformative shift from reactive healthcare to proactive health management.
By bridging regional gaps through these strategies, CHART drives a cohesive, global effort to advance cardiovascular science and patient outcomes.
Acknowledgments
None.
Footnote
Provenance and Peer Review: This article was commissioned by the editorial office, Radiology-X. The article did not undergo external peer review.
Funding: None.
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://rx.amegroups.com/article/view/10.21037/rx-26-0025/coif). N.D. serves as the Editor-in-Chief of Radiology-X. J.G. serves as the Honorary Editor-in-Chief of Radiology-X from February 2026 to January 2028. P.H. serves as an unpaid editorial board member of Radiology-X from February 2026 to January 2028. The other authors have no conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.
Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
References
- Martin SS, Aday AW, Allen NB, et al. 2025 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2025;151:e41-e660. [Crossref] [PubMed]
- Ketineni RR, Singh B, Chandralekha AR, et al. Advances in Radiological Imaging Modalities and Their Expanding Role in the Early Diagnosis, Monitoring, and Prognosis of Internal Medicine Disorders: A Comprehensive Review. Cureus 2025;17:e99513. [Crossref] [PubMed]
- Brink JA, Hricak H. Radiology 2040. Radiology 2023;306:69-72. [Crossref] [PubMed]
- Cohen DJ, Wyte-Lake T, Dorr DA, et al. Unmet information needs of clinical teams delivering care to complex patients and design strategies to address those needs. J Am Med Inform Assoc 2020;27:690-9. [Crossref] [PubMed]
- Adler-Milstein J, Aggarwal N, Ahmed M, et al. Meeting the Moment: Addressing Barriers and Facilitating Clinical Adoption of Artificial Intelligence in Medical Diagnosis. NAM Perspect 2022;2022:10. [Crossref] [PubMed]
- Parwani P, Lopez-Mattei J, Choi AD. Building Bridges in Cardiology and Radiology: Why Collaboration Is the Future of Cardiovascular Imaging. JACC Cardiovasc Imaging 2018;11:1713-7. [Crossref] [PubMed]
- Cohen B. Coronary angioplasty enters its 40th year. 2016 (accessed January 26 2026). Available online: http://www.ptca.org/voice/2016/02/04/40-years-ago-there-was-a-poster-at-the-american-heart-association-meeting-2565.
- Dai N, Xia HH, Xu YW. Noninvasive approach to assess coronary artery stenoses and ischemia. JAMA 2013;309:235-6. [Crossref] [PubMed]
- Dai N, Lv HJ, Xiang YF, et al. Three-dimensional modeling and numerical analysis of fractional flow reserve in human coronary arteries. Postepy Kardiol Interwencyjnej 2016;12:25-31. [Crossref] [PubMed]
- Hong D, Dai N, Lee SH, et al. Fractional Flow Reserve and Fractional Flow Reserve Gradient From CCTA for Predicting Future Coronary Events. JACC Asia 2024;4:735-47. [Crossref] [PubMed]
- Ihdayhid AR, Ben Zekry S. Machine Learning CT FFR: The Evolving Role of On-Site Techniques. Radiol Cardiothorac Imaging 2020;2:e200228. [Crossref] [PubMed]
- Rajiah P, Cummings KW, Williamson E, et al. CT Fractional Flow Reserve: A Practical Guide to Application, Interpretation, and Problem Solving. Radiographics 2022;42:340-58. [Crossref] [PubMed]
- Shaikh K, Lozano PR, Evangelou S, et al. CT derived fractional flow reserve: Part 1 - Comprehensive review of methodologies. J Cardiovasc Comput Tomogr 2025;19:390-6. [Crossref] [PubMed]
- Rodriguez-Lozano PF, Waheed A, Evangelou S, et al. CT derived fractional flow reserve: Part 2 - Critical appraisal of the literature. J Cardiovasc Comput Tomogr 2025;19:397-408. [Crossref] [PubMed]
- Cerqueira MD, Weissman NJ, Dilsizian V, 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. [Crossref] [PubMed]
- Dai N, Tang X, Weng X, et al. Stress-Related Neural Activity Associates With Coronary Plaque Vulnerability and Subsequent Cardiovascular Events. JACC Cardiovasc Imaging 2023;16:1404-15. [Crossref] [PubMed]
- Dai N, Tang X, Hu Y, et al. SARS-CoV-2 Infection Association with Atherosclerotic Plaque Progression at Coronary CT Angiography and Adverse Cardiovascular Events. Radiology 2025;314:e240876. [Crossref] [PubMed]
- Dai N, Tang X, Weng X, et al. Sex Differences in Coronary Inflammation and Atherosclerosis Phenotypes in Response to Imaging Marker of Stress-Related Neural Activity. Circ Cardiovasc Imaging 2024;17:e016057. [Crossref] [PubMed]
- Dai N, Hu Y, Tang X, et al. Cholesterol, Atherosclerotic, and Inflammatory Risks Among Patients With Statin Therapy. JACC Cardiovasc Imaging 2025;18:242-4. [Crossref] [PubMed]
- Dai N, Chen Z, Zhou F, et al. Coronary CT angiography-derived plaque characteristics and physiologic patterns for peri-procedural myocardial infarction and subsequent events. Eur Heart J Cardiovasc Imaging 2023;24:897-908. [Crossref] [PubMed]
- Dai N, Yuan S, Dou K, et al. Prognostic Implications of Prestent Pullback Pressure Gradient and Poststent Quantitative Flow Ratio in Patients Undergoing Percutaneous Coronary Intervention. J Am Heart Assoc 2022;11:e024903. [Crossref] [PubMed]
Cite this article as: Dai N, Edavi PP, Zhang X, Wang Y, Yang M, Shi H, Shu X, Qian J, Hu P, Lu B, Ge J; the Core Group and Members of the Committee of CHART. CHARTing the future: bridging disciplines to revolutionize non-invasive cardiovascular imaging. Radiology-X 2026;1:3.