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Atrial Fibrillation (AF)SEARCH-AFNCT07567508

Early Detection of Concealed Cardiac Amyloidosis Using AI-ECG and CT-Derived Extracellular Volume in Patients With Atrial Fibrillation

A study testing AI-ECG analysis, CT-ECV analysis and Atrial fibrillation treatment in people with Atrial Fibrillation (AF) and Cardiac Amyloidosis, run by Samsung Medical Center at 1 site in South Korea.

Not yet recruiting

Opening soon. The study is approved but enrolment has not started yet. Sites may already take enquiries.

Sites and contacts
Official record
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Trial summary

This study investigates the clinical efficacy of a non-invasive screening protocol using AI-ECG and CT-ECV analysis for cardiac amyloidosis. The study targets on atrial fibrillation(AF) patients with "red-flag" indicators. Participants are randomized 1:1 into either an early screening or usual care group. Read more about this study

Who is it for?
Ages 19 years and older
Conditions the study is for
Atrial Fibrillation (AF), Cardiac Amyloidosis
What is being tested?
AI-ECG analysis, CT-ECV analysis and Atrial fibrillation treatment
Could I receive a placebo?
No, everyone receives an active treatment
How many people
500 participants
Where
1 siteSouth Korea
Study dates
May 2026to 31 Dec 2029
Phase
Interventional
Are there results?
Not yet: the study is under way

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 19 years and older
  • All sexes
  • No healthy volunteers
  • Adult, Older adult

Who may be able to join

  • Adults aged 19 or older who have provided voluntary written informed consent.
  • Patients with a history of AF (paroxysmal or persistent) and one or more red-flag symptoms/signs.
  • Patients who can undergo at least one of the following: AI-ECG analysis or CT-ECV analysis.

Who cannot join

  • Patients previously diagnosed with cardiac amyloidosis (AL or ATTR).
  • Patients with severe heart failure (NYHA class IV) or terminal illness with a life expectancy of less than 1 year.
  • Patients deemed inappropriate for participation by the investigator.

Trial locations and contacts

1 site in 1 country. Contact the study team or a site near you to ask about taking part.

Ju Youn Kim, Ph.D contact

82+ 10-5482-7307

kzzoo921@gmail.com

South Korea1 site
  • Samsung Medical Center

    Seoul, Seoul, 06351

    Ju Youn Kim, Ph.D, 82+ 2-3410-3419, kzzoo921@gmail.com

    Ju hee Lee, RN, 82+ 2-2148-7611, phacyde12@gmail.com

Other trials in South Korea

About this study

This study investigates the clinical efficacy of a non-invasive screening protocol using AI-ECG and CT-ECV analysis for cardiac amyloidosis. The study targets on atrial fibrillation(AF) patients with "red-flag" indicators.

Participants are randomized 1:1 into either an early screening or usual care group.

  • Early screening group : AI- ECG and/or CT-ECV analysis + AF treatment
  • Usual care group : AF treatment Both groups followed for 2 years to compare CA detection rates and clinical outcomes.
Read the detailed description

This study is a prospective randomized trial designed to evaluate the clinical utility of non-invasive early screening for cardiac amyloidosis (CA) using AI-ECG and CT-ECV in patients with atrial fibrillation (AF). The study primarily targets patients presenting with "red-flag" signs, such as heart failure symptoms, ECG findings of low voltage or pseudo-infarction, Troponin T > 0.03 ng/L, NT-proBNP > 332 pg/mL, LV wall thickness > 12 mm, a history of carpal tunnel syndrome or spinal canal stenosis, or proteinuria (e.g., UACR ≥ 300 mg/g, 24-hour proteinuria ≥ 0.5-1.0 g/day, or nephrotic-range proteinuria > 3.5 g/day).

The objective is to assess whether early screening improves the detection rate of CA and whether such early detection and subsequent treatment can improve clinical outcomes for patients. Subjects who meet the inclusion and exclusion criteria and provide informed consent will be randomly assigned to either the Early Screening Group or the Usual Care Group in a 1:1 ratio for comparative analysis. Participants will be allocated using stratified block randomization (allocation ratio 1:1) with a computer-generated random number sequence. Stratification variables, including age (age ≥ 75 vs. < 75 years) and sex.

Upon enrollment, all patients will undergo a baseline evaluation encompassing demographic information, medical history, and medication status, along with blood tests (e.g., NT-proBNP, troponin, creatinine). Additionally, AI-ECG analysis using standard 12-lead ECG or ECV analysis using cardiac CT will be performed. For AI-ECG analysis, the Mayo Clinic AI-ECG algorithm will be utilized; raw ECG data will be transmitted, and results will be received only for those patients who have provided specific consent. Patients who test positive in the AI-ECG analysis or cardiac CT-ECV analysis will undergo further diagnostic workup, including SPEP, UPEP, IFE, Free Light Chain Assay, and 99mTc-DPD scintigraphy. For those who test positive in these subsequent evaluations, definitive diagnosis will be attempted through endomyocardial biopsy or genetic testing.

Being tested
AI-ECG analysis, CT-ECV analysis, Atrial fibrillation treatment
Keywords
AI-ECG, Amyloidosis, Cardiac amyloidosis, Atrial Fibrillation
Medical subject headings
Atrial Fibrillation, Amyloid Neuropathies, Familial, Amyloidosis

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • AI-ECG analysisDiagnostic test

    Artificial Intelligence-enhanced Electrocardiogram (AI-ECG), developed by Mayo Clinic, is gaining attention as a non-invasive screening tool. AI-ECG predicts myocardial amyloid deposition based on a standard 12-lead ECG with high accuracy, AUC 0.84(95% CI 0.82-0.86) In particular, it demonstrated superior performance with an AUC of 0.9 or higher in ECGs exhibiting low voltage or pseudo-infarction patterns, suggesting its potential to detect the disease even before structural changes become apparent.

  • CT-ECV analysisDiagnostic test

    Myocardial Extracellular Volume (CT-ECV) analysis using cardiac CT is a tissue characterization technique that can be easily added to conventional cardiac CT protocols, enabling the quantification of myocardial fibrosis or infiltrative diseases. Among 874 subjects who underwent coronary CT, 12.4% exhibited a CT-ECV of ≥ 35%, and cardiac amyloidosis was incidentally discovered in 14.3% of these individuals.

  • Atrial fibrillation treatmentOther

    Standard care and treatment in accordance with established AF guidelines.

Study groups in NCT07567508
Study groupRoleWhat they receive
Early screening groupExperimentalAI-ECG and/or CT ECV analysis with standard atrial fibrillation treatment
Receives: Diagnostic Test: AI-ECG analysis; Diagnostic Test: CT-ECV analysis; Other: Atrial fibrillation treatment
Usual care groupActive comparatorStandard atrial fibrillation treatment
Receives: Other: Atrial fibrillation treatment

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Cardiac amyloidosis(CA) detection rate

    CA detection rate in the early screening group based on AI-ECG and CT-ECV results The superiority hypothesis (detection rate of the early screening group > control group) will be tested, utilizing the chi-squared test or Fisher's exact test as the primary analysis. Effect sizes will be reported as the difference in proportions, odds ratio (OR), and relative risk (RR), along with 95% CIs and p-values.

    Measured: From enrollment to the 2 year follow-up

Secondary outcomes (2)
  1. Diagnostic Sensitivity and Specificity of AI-ECG alone, CT-ECV alone, and the combined Model

    Compare the diagnostic sensitivity and specificity of each model, the difference in proportions between groups will be analyzed as a primary analysis using the chi-squared test or Fisher's exact test. Furthermore, since the sensitivity and specificity of the AI-ECG, CT-ECV, and combined models are paired indicators derived from the same subjects, the McNemar test will be used for the comparison of sensitivity and specificity between models. In cases where it is necessary to adjust for covariates (e.g., age, sex, NT-proBNP) or to consider repeated measures/correlation structures, a logistic regression analysis based on Generalized Estimating Equations (GEE) with subject IDs as clusters will be performed to compare model effects.

    Measured: From enrollment to 2 year follow-up

  2. Correlation of AI-ECG/CT-ECV values with other screening results in patients with confirmed CA

    In patients with a confirmed CA, the association between AI-ECG scores/probabilities, CT-ECV (continuous), and clinical findings-such as biopsy results (if available), degree of DPD uptake (e.g., grade), and SPEP/UPEP/IFE results (positive/negative or quantitative values)-will be evaluated using Spearman correlation analysis and, if necessary, logistic or linear regression analysis.

    Measured: From enrollment to 2 year follow-up

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted5 May 2026
  2. Study startMay 2026 (estimated)
  3. Primary completion31 Dec 2029 (estimated)
  4. Study completion31 Dec 2029 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Interventional
Phase
Phase N/A
Primary purpose
Screening
Allocation
Randomised
Intervention model
Parallel groups
Masking
None (open label)
Enrolment
500 participants (estimated)
IDs, dates and publications
ClinicalTrials.gov ID
NCT07567508
Sponsor's protocol ID
SMC 2025-12-132
Other IDs
KCT0009027
Acronym
SEARCH-AF
Status last verified
Feb 2026
First submitted
28 Apr 2026
Last updated
5 May 2026
Results posted
No
Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
Undecided

Publications

  • Oguni T, Takashio S, Kuyama N, Hirakawa K, Hanatani S, Oike F, Usuku H, Matsuzawa Y, Kidoh M, Oda S, Yamamoto E, Ueda M, Hirai T, Tsujita K. Clinical characteristics of patients with high extracellular volume fraction evaluated by cardiac computed tomography for coronary artery evaluation. Eur Heart J Open. 2024 Apr 27;4(3):oeae036. doi: 10.1093/ehjopen/oeae036. eCollection 2024 May.

    PubMed 38751455
  • Shinzato K, Takahashi Y, Yamaguchi T, Otsubo T, Nakashima K, Yoshioka G, Yokoi K, Tsuruta K, Osako R, Shichida S, Nishimura Y, Edayoshi M, Kawano Y, Shintani-Domoto Y, Miyazaki K, Fukui A, Kawaguchi A, Aoki S, Nomura S, Takahashi N, Ito K, Node K. Atrial amyloidosis identified by biopsy in atrial fibrillation: prevalence and clinical presentation. Eur Heart J. 2025 Sep 15;46(35):3437-3449. doi: 10.1093/eurheartj/ehaf332.

    PubMed 40392565
  • Yamasaki H, Kondo H, Shiroo T, Iwata N, Masuda T, Makita T, Iwabuchi Y, Tanazawa K, Takahashi M, Ono Y, Ogawa N, Harada T, Mitarai K, Yamauchi S, Takano M, Kodama N, Hirota K, Miyoshi M, Yonezu K, Tawara K, Abe I, Saito S, Fukui A, Fukuda T, Akioka H, Shinohara T, Akiyoshi K, Teshima Y, Yufu K, Daa T, Matsubara E, Asayama Y, Ueda M, Takahashi N. Efficacy of Computed Tomography-Based Evaluation of Myocardial Extracellular Volume Combined With Red Flags for Early Screening of Concealed Cardiac Amyloidosis in Patients With Atrial Fibrillation. Circ J. 2024 Jun 25;88(7):1167-1175. doi: 10.1253/circj.CJ-23-0948. Epub 2024 Mar 22.

    PubMed 38522901
  • Harmon DM, Mangold K, Suarez AB, Scott CG, Murphree DH, Malik A, Attia ZI, Lopez-Jimenez F, Friedman PA, Dispenzieri A, Grogan M. Postdevelopment Performance and Validation of the Artificial Intelligence-Enhanced Electrocardiogram for Detection of Cardiac Amyloidosis. JACC Adv. 2023 Oct;2(8):100612. doi: 10.1016/j.jacadv.2023.100612. Epub 2023 Sep 14.

    PubMed 38638999
  • Garcia-Pavia P, Rapezzi C, Adler Y, Arad M, Basso C, Brucato A, Burazor I, Caforio ALP, Damy T, Eriksson U, Fontana M, Gillmore JD, Gonzalez-Lopez E, Grogan M, Heymans S, Imazio M, Kindermann I, Kristen AV, Maurer MS, Merlini G, Pantazis A, Pankuweit S, Rigopoulos AG, Linhart A. Diagnosis and treatment of cardiac amyloidosis: a position statement of the ESC Working Group on Myocardial and Pericardial Diseases. Eur Heart J. 2021 Apr 21;42(16):1554-1568. doi: 10.1093/eurheartj/ehab072.

    PubMed 33825853

Questions about this trial

What is this clinical trial studying?

A study testing AI-ECG analysis, CT-ECV analysis and Atrial fibrillation treatment in people with Atrial Fibrillation (AF) and Cardiac Amyloidosis, run by Samsung Medical Center at 1 site in South Korea.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 3 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: opening soon, as of the sponsor's last update on 5 May 2026. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in South Korea. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

This study is still under way. Results are not available in the source record yet.

How can a doctor refer a patient or contact the research team?

Contact Ju Youn Kim, Ph.D (82+ 10-5482-7307, kzzoo921@gmail.com), or a site near the patient. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Cardiac amyloidosis(CA) detection rate (time frame: From enrollment to the 2 year follow-up). It is what the study was designed to measure, not a finding.

Where can I read the original study information?

On the ClinicalTrials.gov record for NCT07567508, which also lists 5 linked publications.

Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 5 May 2026.

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