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Cardiac Imaging and Diagnostics
Research Guide
What is Cardiac Imaging and Diagnostics?
Cardiac Imaging and Diagnostics is the application of imaging techniques such as echocardiography, computed tomography angiography, and magnetic resonance imaging to assess coronary artery disease, myocardial perfusion, myocardial infarction, coronary calcium, microvascular dysfunction, and cardiovascular risk while addressing radiation exposure concerns.
The field encompasses 157,549 works focused on advanced cardiac imaging for evaluating coronary artery disease and myocardial perfusion using computed tomography angiography and magnetic resonance imaging. Key guidelines include chamber quantification standards updated by Lang et al. (2015) with 17,399 citations and earlier recommendations by Lang et al. (2005) with 11,253 citations. Growth data over the past five years is not available.
Topic Hierarchy
Research Sub-Topics
Coronary Computed Tomography Angiography
Researchers evaluate CCTA for noninvasive diagnosis of coronary artery disease, plaque characterization, and ischemia assessment in stable and acute patients. Studies optimize protocols to reduce radiation while improving diagnostic accuracy.
Cardiac Magnetic Resonance Myocardial Perfusion
This sub-topic develops quantitative CMR perfusion imaging using stress agents to detect microvascular ischemia and infarction viability. Advanced sequences address motion artifacts and contrast kinetics modeling.
Coronary Artery Calcium Scoring
Scientists refine CAC scoring via CT to stratify cardiovascular risk in asymptomatic populations, integrating scores with risk models. Longitudinal studies validate prognostic value across ethnicities.
Cardiac Imaging Radiation Reduction Strategies
Research focuses on low-dose CT protocols, iterative reconstruction, and photon-counting detectors to minimize radiation in cardiac imaging. Dose optimization balances image quality and patient safety.
Microvascular Dysfunction Imaging
Studies employ PET, CMR, and echocardiography to quantify coronary microvascular dysfunction in heart failure and angina without obstructive CAD. Pathophysiological correlations link imaging biomarkers to outcomes.
Why It Matters
Cardiac Imaging and Diagnostics enables precise assessment of myocardial infarction and coronary artery disease, guiding management as outlined in ESC Guidelines by Ibáñez et al. (2017) with 9,496 citations and Roffi et al. (2015) with 8,224 citations. Quantification of coronary artery calcium by ultrafast computed tomography, as developed by Agatston et al. (1990) with 7,564 citations, supports cardiovascular risk assessment in clinical practice. These methods inform treatments for ST-elevation myocardial infarction per Antman et al. (2004) guidelines with 8,362 citations, reducing diagnostic uncertainty in patient care.
Reading Guide
Where to Start
'Recommendations for Cardiac Chamber Quantification by Echocardiography in Adults: An Update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging' by Lang et al. (2015), as it provides the most-cited foundational update (17,399 citations) on standardized measurements essential for entering the field.
Key Papers Explained
Lang et al. (2015) updates Lang et al. (2005) guidelines for chamber quantification, both highly cited at 17,399 and 11,253, incorporating technological advances; Schiller et al. (1989) focuses on left ventricle quantitation (8,125 citations), building foundational two-dimensional methods; Agatston et al. (1990) introduces coronary calcium scoring (7,564 citations), complementing echo with CT-based risk assessment; Sahn et al. (1978) surveys M-mode variability (7,451 citations), informing early standardization efforts.
Paper Timeline
Most-cited paper highlighted in red. Papers ordered chronologically.
Advanced Directions
Recent preprints explore AI in cardiac CT and MRI for workflow steps from acquisition to prognostication, including 'Application of artificial intelligence in non-invasive cardiovascular imaging for coronary artery disease: a systematic review and meta-analysis' by Liu et al. and 'Artificial intelligence-enhanced echocardiography in cardiovascular disease management'. News highlights AI bringing MRI-precision to clinics and FDA clearance for HeartFocus. GitHub tools like PTB-MR/cMRF support cardiac MRF sequences.
Papers at a Glance
In the News
Bedside Breakthrough: AI Brings MRI-Precision to Every ...
# Bedside Breakthrough: AI Brings MRI-Precision to Every Clinic Newswire.ca -Fri Jan 16, 10:56AM CST ***ISSUED ON BEHALF OF VENTRIPOINT DIAGNOSTICS LTD.*** * USANewsGroup.com News Commentary*
AI Brings MRI-Precision to Every Clinic | INN
heart assessments.
Bedside Breakthrough: AI Brings MRI-Precision to Every ...
heart assessments.
FDA Grants Clearance for HeartFocus, the Transformative ...
**DESKi Closes $6M Seed Round to Bring AI-Powered Heart Scans to Market**
Ontario funding boosts diagnostic services at Joseph Brant ...
1. Home 2. Local News # Ontario funding boosts diagnostic services at Joseph Brant Hospital Province announces $81 million in one-time funding to add CT scan hours at 86 hospitals across Ontario ...
Code & Tools
In this repository, you can find a (Py)Pulseq implementation of a cardiac MRF sequence and the corresponding image reconstruction and dictionary ma...
This repository provides a modular deep-learning pipeline for ECG and CMR representation learning, building on the work of Turgut et al. (2025) and...
A PyTorch based library to build and handle medical imaging model pipelines. Can be used to quickly get highly customizable U-Net or EncoderMLP mod...
This repo is the official implementation of "Screening and diagnosis of cardiovascular disease using artificial intelligence-enabled cardiac magnet...
This is the official implementation of our work Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac ...
Recent Preprints
Use of AI in Cardiac CT and MRI: A Scientific Statement ...
Artificial intelligence (AI) offers promising solutions for many steps of the cardiac imaging workflow, from patient and test selection through image acquisition, reconstruction, and interpretation...
Application of artificial intelligence in non-invasive cardiovascular imaging for coronary artery disease: a systematic review and meta-analysis
# Application of artificial intelligence in non-invasive cardiovascular imaging for coronary artery disease: a systematic review and meta-analysis Baiyun Liu 1\* Joana Reis 2Ankur Sharma3Wei Wang4
Artificial intelligence-enhanced echocardiography in cardiovascular disease management
- AI methods have shown potential in guiding image acquisition, automating routine echocardiographic measurements such as left ventricular function and detecting cardiovascular diseases such as car...
Comprehensive echocardiogram evaluation with view primed vision language AI
Echocardiography is the most widely used cardiac imaging modality, capturing ultrasound video data to assess cardiac structure and function 1 . Artificial intelligence (AI) in echocardiography has ...
CT and MRI radiomics in cardiovascular risk prediction: a systematic review and meta-analysis by the EuSoMII Radiomics Auditing Group
To conduct a comprehensive systematic review of the studies applying radiomics to CT and MRI for the evaluation of cardiac disease, and to perform a meta-analysis of their diagnostic accuracy, focu...
Latest Developments
Recent developments in cardiac imaging and diagnostics include advances in multimodal imaging techniques, AI-assisted image acquisition and analysis, and new prognostic tools such as cardiac PET/CT, accelerated MRI protocols, and view-primed AI for echocardiography, as reported in studies published between September and December 2025 (PMC, healthcare-in-europe, nature).
Sources
Frequently Asked Questions
What are the standard recommendations for cardiac chamber quantification by echocardiography?
Lang et al. (2015) in 'Recommendations for Cardiac Chamber Quantification by Echocardiography in Adults: An Update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging' provide updated guidelines addressing technological developments for adult echocardiography. These build on prior standards from Lang et al. (2005) with 11,253 citations. The recommendations standardize measurements for clinical consistency.
How is coronary artery calcium quantified using computed tomography?
Agatston et al. (1990) in 'Quantification of coronary artery calcium using ultrafast computed tomography' established a scoring method with 7,564 citations, used for cardiovascular risk assessment. The approach measures calcium density and area in coronary arteries via ultrafast CT. It associates higher scores with increased coronary artery disease risk.
What do ESC Guidelines say about managing ST-segment elevation myocardial infarction?
Ibáñez et al. (2017) in '2017 ESC Guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation' outline evidence-based strategies with 9,496 citations. The guidelines cover diagnosis and treatment based on available scientific knowledge. They apply to patients presenting with ST-elevation.
What role does echocardiography play in left ventricle quantitation?
Schiller et al. (1989) in 'Recommendations for Quantitation of the Left Ventricle by Two-Dimensional Echocardiography' standardize two-dimensional measurements with 8,125 citations. These recommendations ensure reproducible assessment of left ventricular function. They remain foundational for echocardiographic practice.
How have cardiac chamber quantification guidelines evolved?
Lang et al. (2015) updated 2005 guidelines by Lang et al., incorporating rapid technological developments in echocardiography with 17,399 and 11,253 citations respectively. The updates address changes in practice for chamber measurements. A similar update appears in European Heart Journal - Cardiovascular Imaging with 7,950 citations.
What are key concerns in cardiac imaging related to radiation?
The field addresses radiation exposure concerns alongside computed tomography angiography for coronary assessment. Techniques balance diagnostic benefits with risks in myocardial perfusion and infarction evaluation. Guidelines integrate these factors for patient safety.
Open Research Questions
- ? How can AI integration improve reproducibility in echocardiographic chamber quantification beyond current guidelines?
- ? What refinements to coronary artery calcium scoring enhance prediction of microvascular dysfunction?
- ? Which imaging protocols best minimize radiation exposure while assessing myocardial perfusion in acute coronary syndromes?
- ? How do multimodal imaging approaches combining CT and MRI advance risk stratification for myocardial infarction?
- ? What standardization is needed for quantitative M-mode echocardiography measurements in modern practice?
Recent Trends
Preprints from the last six months emphasize AI applications, such as in cardiac CT/MRI workflows and echocardiography for disease detection like amyloidosis, with systematic reviews by Liu et al.
2025News reports AI-enhanced heart scans gaining FDA clearance for HeartFocus and funding for CT expansions ($81 million in Ontario, 2026).
2025The field maintains 157,549 works without specified five-year growth.
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