Review of the Latest Research Directions and Clinical Application Advances in Cardiac CT

Journal: Journal of Clinical Medicine Research DOI: 10.32629/jcmr.v7i1.5070

Kaining Yang1, Jilong Jin2

1. Changzhi Medical College, Changzhi, Shanxi, China
2. Department of Radiology, Jincheng General Hospital, Jincheng, Shanxi, China

Abstract

Objective: To systematically review the latest research findings on cardiac computed tomography (CT) in terms of hardware innovation, intelligent technology integration, and expanded clinical applications. This review emphasizes its value in precision diagnosis and treatment for conditions such as atrial fibrillation and aortic valve stenosis, providing reference for the advancement of precision medicine in cardiovascular diseases. Methods: We retrieved data from core domestic and international journals, multicenter clinical trials, and authoritative guidelines (ESC, ACC/AHA, Chinese Medical Association Radiology Branch) published between 2021 and 2025. Analyses focused on technological breakthroughs in cardiac CT and disease-specific assessments through AI integration. Results: Dual-slice dual-source CT and photon-counting detector CT (PCD-CT) achieved the integration of low dose and high resolution, while AI technology revolutionized the entire image reconstruction workflow. CT demonstrates critical value in pre-ablation assessment for atrial fibrillation and throughout transcatheter aortic valve replacement (TAVR) for aortic stenosis. Left atrial appendage volume >9.25 ml serves as an independent predictor of post-ablation recurrence (HR=1.160, 95% CI: 1.095–1.229, P<0.001).An independent predictor of post-ablation recurrence (HR=1.160, 95% CI: 1.095–1.229, P<0.001). Pre-TAVR CT assessment achieves over 95% accuracy in valve selection. Recommendations for CCT differ between the 2024 ESC and ACC/AHA guidelines, with ACC/AHA's Class COR-IIa recommendation rate (51.9%) significantly higher than ESC's (35%) (P=0.04). Conclusion: Cardiac CT has evolved into an integrated diagnostic and therapeutic platform characterized by "intelligence, precision, and comprehensive care." Future efforts should focus on advancing technical standardization and improving accessibility at the primary care level to enhance its role in early disease screening and personalized treatment.

Keywords

cardiac CT; photon-counting detector; artificial intelligence; atrial fibrillation; aortic valve stenosis; transcatheter aortic valve replacement; low-dose imaging; clinical guidelines

References

[1] Ghimire A, Alkurdi M, Mohanty S, et al. AI-enabled image processing approach for efficient clustering and identification of hardware Trojans [J]. Integration, 2026, 107102628-102628.
[2] Ravindran J, Hasslacher S, Su T, et al. Validation of Echocardiographic Parameters in Assessing Right Ventricular Size and Function With Cardiac MRI[J].Heart, Lung and Circulation, 2024, 33(S4): S224-S224.
[3] Zhou E, Li W, Xu W, et al. A cone-beam photon-counting CT dataset for spectral image reconstruction and deep learning[J]. Scientific Data, 2025, 12(1):1955-1955.
[4] Aldajani A, Lauzier TP. Artificial intelligence in Pre-TAVR coronary evaluation: A step forward. Journal of cardiovascular computed tomography, 2025, 19(5):520-521.
[5] Gnasso C, Nagy VM, Hagar TM, et al. Impact of Photon-counting CT-based Virtual Monoenergetic Imaging on Detecting Myocardial Late Iodine Enhancement Compared to Cardiac MRI. [J]. Radiology. Cardiothoracic Imaging, 2025, 7(6): e250072.
[6] Takahata M, Shiono Y, Taniguchi M, et al. Qualitative and quantitative evaluation of microvascular obstruction with delayed enhancement cardiac computed tomography in patients with ST-segment elevation myocardial infarction. The international journal of cardiovascular imaging, 2025, (prepublish):1-8.
[7] Cadour F, Dacher NJ. Photon-counting CT myocardial perfusion imaging: A future candidate in the guidelines for functional assessment of coronary artery disease. [J]. Diagnostic and Interventional Imaging, 2025, 107(3): 85-86. DOI: 10.1016/J.DIII.2025.11.002.
[8] Romain C, Laurence B, David G, et al. Artificial Intelligence in Fetal MRI: Principles, Applications, Limitations, and Future Directions[J]. Clinical Obstetrics & Gynecology, 2026, 69(1): 75-81. DOI: 10.1097/GRF.0000000000000987.
[9] Zeng Z, Wang Y, Lin Z, et al. A segmented backprojection tensor degradation feature encoding model for motion artifacts correction in dental cone beam computed tomography[J]. Journal of Southern Medical University, 2025, 45(2):422-436.
[10] Guo Jingjing, Ren Wen, Li Dong. Application Progress of CT-SYNTAX Score in Decision-Making for Myocardial Revascularization in Complex Coronary Artery Disease [J]. International Journal of Medical Radiology, 2021, 44(05): 574-578.
[11] Zhang R, Fu W, Xu J, et al. Combined prognostic value of AI-derived CT-FFR and high-risk plaque characteristics in patients with newly diagnosed chronic coronary syndrome: a prospective cohort study[J]. Frontiers in Cardiovascular Medicine, 2025, 121674126. DOI:10.3389/FCVM.2025.1674126.
[12] Yang S, Chung J, Lesina K, et al. Long-term prognostic implications of CT angiography-derived fractional flow reserve: Results from the DISCOVER-FLOW study. [J]. Journal of cardiovascular computed tomography, 2024, 18(3):251-258.
[13] Reil CJ, Sequeira V, Lucas P, et al. Activation of the Anrep Effect in Aortic Stenosis Pre-TAVR and Post-TAVR: An Echocardiographic Pressure-Volume Analysis[J]. JACC. Advances, 2025, 5(1):102424.
[14] O'Neill B, Halboni A, Giustino G, et al. Treatment Patterns of Patients With Mitral Valve Disease and Critical Neo-LVOT Obstruction[J]. Catheterization and Cardiovascular Interventions: Official Journal of the Society for Cardiac Angiography & Interventions, 2025, 106(4): 2488-2494.
[15] Sritharan PH, Chia J, Gardiner K, et al. The utility of conversational artificial intelligence with large language models for patient information on cardiac electrophysiology procedures. [J]. Heart Rhythm, 2024, 22(8):2131-2133.
[16] Spreen D, Kueffer T, Iqbal R U S, et al. Impact of left atrial anatomy on pulmonary vein isolation with cryoballoon ablation: Insights from the randomized controlled COMPARE CRYO study.Heart Rhythm O2, 2025, 6(10): 1499-1507.
[17] Zaher W, Abdelali M, Fortuna M, et al. Pulsed Field Ablation Preserves Left Atrial Volume Compared to Radiofrequency in Persistent Atrial Fibrillation Ablation Beyond Pulmonary Veins[J]. Europace: European pacing, arrhythmias, and cardiac electrophysiology: journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology, 2025;27(9):euaf222. doi:10.1093/europace/euaf222
[18] Kim J H, Lee H C. Pulsed field ablation: focused on atrial fibrillation ablation. [J]. The Korean Journal of Internal Medicine, 2026;41(2):197-209. DOI:10.3904/KJIM.2025.193.
[19] Geng J, Ma D, Xu M, et al. Dimensionality-tailored pure organic semiconductor with high hole mobility for low-dose X-ray imaging. Nature Communications, 2025, 16(1):10369.
[20] Wu J, Li X, Li N, et al. Application of cardiac magnetic resonance feature tracking (CMR-FT) for quantitative assessment of left atrial function in nonobstructive hypertrophic cardiomyopathy[J]. Quantitative Imaging in Medicine and Surgery, 2025, 15(5): 4527-4540.
[21] Cao K, Yeung J, Wei K Y M, et al. Improving the prediction of chemotherapy dose-limiting toxicity in colon cancer patients using an AI-CT-based 3D body composition of the entire L1–L5 lumbar spine[J]. Supportive Care in Cancer, 2024, 33(1):45-45.

Copyright © 2026 Kaining Yang, Jilong Jin

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License