ClinicalTrials.gg
CompletedNCT04769310Updated Mar 5, 2026

Advanced Cardiac Imaging To Predict Embolic Stroke On Brain MRI: A Pilot Study

An interventional study of Cardiac and Brain MRI in Atrial Fibrillation, Stroke and Stroke, Cardiovascular, sponsored by Tulane University. Completed at 1 site in United States. Open to participants aged 18 Years to 120 Years. Per ClinicalTrials.gov, last updated 2026-03-05.

Sponsored by Tulane University · Not applicable, Interventional, and Diagnostic

Phase
Not applicable
Study type
Interventional
Enrollment
5
Allocation
Not applicable
Ages
18 Years to 120 Years
Sex
All
01

Study summary

Demonstrating the pathophysiological link between Left Atrial (LA) and Left Atrial Appendage (LAA) pathology and embolic strokes in non-Atrial Fibrillation (AF) individuals represents a major advance in stroke prevention strategies. Instead of relying on non-specific criteria for stroke risk assessment, the investigators propose to identify individuals with high-risk of embolic stroke using imaging criteria that reflect the underlying pathophysiology of embolic stroke of cardiac origin. the investigators can therefore lay the groundwork for future anticoagulation strategies for stroke prevention beyond AF.

Read the detailed description

The investigators propose a cross-sectional cohort study, where individuals with no history of AF and with a Congestive heart failure, Hypertension, Age ≥ 75 years, Diabetes mellitus, Stroke or transient ischemic attack (TIA), Vascular disease, Age 65 to 74 years, Sex category score (CHA2DS2VASC) ≥3, type II diabetes, congestive heart failure or a history of stroke/TIA will be included. Data on demographics, personal health habits, medications, and medical history will be obtained by interviewing participants and reviewing the electronic medical records. All participants will undergo a Cardiac Magnetic Resonance imaging (CMR) to assess for markers of LA and LAA pathology. Markers of LA and LAA pathology that will be studied include: LA fibrosis level, LA functional parameters, LA shape characteristics, and LAA characteristics (including morphology, orifice area and flow velocity). Additionally, all participants will undergo a brain Magnetic Resonance Imaging (MRI) at the same visit to assess for the presence of embolic-appearing brain infarcts, regardless of previous stroke-related symptoms.

The investigators will analyze the association between each cardiac imaging feature and the prevalence of embolic-appearing strokes on brain MRI to determine whether patients with higher LA and LAA remodeled features are more likely to have embolic-appearing brain infarcts on MRI. The LA and LAA pathology imaging features with the strongest statistical association will be used to develop an imaging predictive score capable of identifying patients with the highest risk of embolic stroke.

All brain and cardiac imaging data will be assessed by experienced operators at Tulane Medical Center facilities. Operators analyzing CMR will be blinded to brain MRI results, and operators assessing brain MRI will be blinded to CMR results. The study will include a single center study at Tulane Medical Center and Clinics, with investigators from different medical specialties, and the proper facilities and equipment to conduct the project accurately and safely. The investigators expect a recruitment of 120 subjects over a period of 18 months from both cardiology and neurology clinics to complete the study.

02

Conditions studied

  • Atrial Fibrillation
  • Stroke
  • Stroke, Cardiovascular
  • Vascular Cognitive Impairment
  • Strokes Thrombotic
  • Stroke, Ischemic

Keywords

  • Magnetic Resonance Imaging
  • Cardiac Magnetic Resonance Imaging
  • Brain infarcts
  • Left atrial
  • Left atrial appendage
  • Non invasive cardiac imaging
03

In context

Atrial Fibrillation

4,009 studies on the registry are indexed under Atrial Fibrillation; 961 are open to participants now.

This study's enrollment of 5 is below the median of 150 across 2,476 interventional studies indexed under Atrial Fibrillation.

Browse Atrial Fibrillation studies →

Lead sponsor

Tulane University is the lead sponsor of 96 studies on the registry; 23 are open to participants now.

Of its 9 completed or terminated interventional studies of FDA-regulated products, 5 (56%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 120 Years
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Male or female patients
  • 18 Years and older
  • No history of atrial fibrillation
  • CHA2DS2VASC score ≥3
  • History pf type II diabetes
  • History of congestive heart failure or a history of (TIA)/stroke without an otherwise defined stroke etiology such as large vessel or small vessel disease

Exclusion criteria

Exclusion Criteria:

  • History of atrial fibrillation
  • Patients who had a clinically symptomatic acute stroke within the last 30-days
  • Any health-related gadolinium/MRI (including previous allergic reaction to Gadolinium, pacemakers, defibrillators, other devices/implants contraindicated for MRI)
  • Estimated (eGFR) cutoff in patients with Chronic kidney disease (CKD) where gadolinium cannot be used equals an eGFR \<30 ml/min
  • Weighing > 300 lbs (as CMR image quality decreases due to increased )
  • Current pregnancy or breastfeeding
  • Cognitive impairment preventing the patient from giving an
Terms in these criteria, in plain language(5)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

TIA (transient ischaemic attack)

A “mini-stroke”: temporary stroke-like symptoms caused by reduced blood flow to part of the brain, spinal cord or eye, without signs of a new stroke on a scan.

Stroke symptoms need emergency care at once, even if they go away.

Contraindication

A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.

GFR and eGFR (kidney filtering)

GFR (glomerular filtration rate) is how much blood the kidneys filter each minute. It is usually estimated from a blood test — eGFR, by formulas such as CKD-EPI or MDRD — and some studies ask for it to be measured directly instead. Usually given in mL/min/1.73 m².

Check the method, the units and the minimum the study states. A value of 90 or above is in the normal-or-high range, but kidney damage can show in other tests too.

BMI (body mass index)

Weight in kilograms divided by height in metres squared. Example: 70 kg and 1.75 m gives 70 ÷ (1.75 × 1.75) ≈ 22.9.

What counts as overweight or obesity differs between countries (some use lower cut-offs), so go by the range the study states.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Phase
Not applicable
Primary purpose
Diagnostic
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
5 participants (actual)

Study arms

  • Other
    Patient arm

    All patients will undergo a CMR to evaluate for LA and LAA high-risk features on either a 1.5 or 3 Tesla clinical MR scanner. Gadolinium injection will be administered. Gadolinium is a contrast product that helps define areas of fibrosis in the LA. High-resolution brain MRI with no contrast will include the following sequences for most accurate assessment of embolic lesions: 3D T1 MPRAGE, 3D FLAIR, DWI, ADC, and SWI

    Device: Cardiac and Brain MRI

Interventions

  • DeviceCardiac and Brain MRI

    A CMR to evaluate for LA and LAA high-risk features on either a 1.5 or 3 Tesla clinical MR scanner will be used. Gadolinium injection will be administered. Gadolinium is a contrast product that helps define areas of fibrosis in the LA. High-resolution brain MRI with no contrast will include the following sequences for most accurate assessment of embolic lesions: 3D T1 MPRAGE, 3D FLAIR, DWI, ADC, and SWI

06

What researchers measure

Primary outcomes

  1. The presence of covert embolic cerebral infarcts

    The covert embolic cerebral infarcts are defined as the presence of asymptomatic non-lacunar embolic infarct (acute or chronic based on MRI appearance), in the cortex, and juxtacortical regions, and cerebellum. They will be identified using brain MRI.

    Time frame: Day1

Secondary outcomes

  1. Number of counts of lacunar covert infracts

    Covert lacunar infarcts are asymptomatic infarct \< 15mm in greatest diameter in subcortical brain regions. They will be identified by size and location using brain MRI images.

    Time frame: Day1

  2. Number of counts of lacunar symptomatic infracts

    Symptomatic lacunar infarcts are symptomatic infarct \< 15mm in greatest diameter in subcortical brain regions. They will be identified by size and location using brain MRI images.

    Time frame: Day1

  3. Number of counts of embolic symptomatic infracts

    Symptomatic non-lacunar embolic infarcts are symptomatic infarcts of any size in the cortex or infarcts \>15 mm in greatest diameter in subcortical lesions. They will be identified by size and location using brain MRI images.

    Time frame: Day1

07

Study locations

1 site
  • Tulane University Medical Center
    New Orleans, Louisiana 70112, United States
08

References and documents

Publications

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  • Saver JL. CLINICAL PRACTICE. Cryptogenic Stroke. N Engl J Med. 2016 May 26;374(21):2065-74. doi: 10.1056/NEJMcp1503946. No abstract available. PubMed 27223148 ↗
  • Fanning JP, Wong AA, Fraser JF. The epidemiology of silent brain infarction: a systematic review of population-based cohorts. BMC Med. 2014 Jul 9;12:119. doi: 10.1186/s12916-014-0119-0. PubMed 25012298 ↗
  • Fanning JP, Wesley AJ, Wong AA, Fraser JF. Emerging spectra of silent brain infarction. Stroke. 2014 Nov;45(11):3461-71. doi: 10.1161/STROKEAHA.114.005919. Epub 2014 Oct 7. No abstract available. PubMed 25293663 ↗
  • Vermeer SE, Prins ND, den Heijer T, Hofman A, Koudstaal PJ, Breteler MM. Silent brain infarcts and the risk of dementia and cognitive decline. N Engl J Med. 2003 Mar 27;348(13):1215-22. doi: 10.1056/NEJMoa022066. PubMed 12660385 ↗
  • Gupta A, Giambrone AE, Gialdini G, Finn C, Delgado D, Gutierrez J, Wright C, Beiser AS, Seshadri S, Pandya A, Kamel H. Silent Brain Infarction and Risk of Future Stroke: A Systematic Review and Meta-Analysis. Stroke. 2016 Mar;47(3):719-25. doi: 10.1161/STROKEAHA.115.011889. PubMed 26888534 ↗
  • Brambatti M, Connolly SJ, Gold MR, Morillo CA, Capucci A, Muto C, Lau CP, Van Gelder IC, Hohnloser SH, Carlson M, Fain E, Nakamya J, Mairesse GH, Halytska M, Deng WQ, Israel CW, Healey JS; ASSERT Investigators. Temporal relationship between subclinical atrial fibrillation and embolic events. Circulation. 2014 May 27;129(21):2094-9. doi: 10.1161/CIRCULATIONAHA.113.007825. Epub 2014 Mar 14. PubMed 24633881 ↗
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  • Friberg L, Rosenqvist M, Lip GY. Evaluation of risk stratification schemes for ischaemic stroke and bleeding in 182 678 patients with atrial fibrillation: the Swedish Atrial Fibrillation cohort study. Eur Heart J. 2012 Jun;33(12):1500-10. doi: 10.1093/eurheartj/ehr488. Epub 2012 Jan 13. PubMed 22246443 ↗
  • Fang MC, Go AS, Chang Y, Borowsky L, Pomernacki NK, Singer DE; ATRIA Study Group. Comparison of risk stratification schemes to predict thromboembolism in people with nonvalvular atrial fibrillation. J Am Coll Cardiol. 2008 Feb 26;51(8):810-5. doi: 10.1016/j.jacc.2007.09.065. PubMed 18294564 ↗
  • Keogh C, Wallace E, Dillon C, Dimitrov BD, Fahey T. Validation of the CHADS2 clinical prediction rule to predict ischaemic stroke. A systematic review and meta-analysis. Thromb Haemost. 2011 Sep;106(3):528-38. doi: 10.1160/TH11-02-0061. Epub 2011 Jul 28. PubMed 21800003 ↗
  • Marrouche NF, Wilber D, Hindricks G, Jais P, Akoum N, Marchlinski F, Kholmovski E, Burgon N, Hu N, Mont L, Deneke T, Duytschaever M, Neumann T, Mansour M, Mahnkopf C, Herweg B, Daoud E, Wissner E, Bansmann P, Brachmann J. Association of atrial tissue fibrosis identified by delayed enhancement MRI and atrial fibrillation catheter ablation: the DECAAF study. JAMA. 2014 Feb 5;311(5):498-506. doi: 10.1001/jama.2014.3. PubMed 24496537 ↗
  • Zghaib T, Nazarian S. New Insights Into the Use of Cardiac Magnetic Resonance Imaging to Guide Decision Making in Atrial Fibrillation Management. Can J Cardiol. 2018 Nov;34(11):1461-1470. doi: 10.1016/j.cjca.2018.07.007. Epub 2018 Jul 12. PubMed 30297256 ↗
  • Bisbal F, Baranchuk A, Braunwald E, Bayes de Luna A, Bayes-Genis A. Atrial Failure as a Clinical Entity: JACC Review Topic of the Week. J Am Coll Cardiol. 2020 Jan 21;75(2):222-232. doi: 10.1016/j.jacc.2019.11.013. PubMed 31948652 ↗
  • King JB, Azadani PN, Suksaranjit P, Bress AP, Witt DM, Han FT, Chelu MG, Silver MA, Biskupiak J, Wilson BD, Morris AK, Kholmovski EG, Marrouche N. Left Atrial Fibrosis and Risk of Cerebrovascular and Cardiovascular Events in Patients With Atrial Fibrillation. J Am Coll Cardiol. 2017 Sep 12;70(11):1311-1321. doi: 10.1016/j.jacc.2017.07.758. PubMed 28882227 ↗
  • Daccarett M, Badger TJ, Akoum N, Burgon NS, Mahnkopf C, Vergara G, Kholmovski E, McGann CJ, Parker D, Brachmann J, Macleod RS, Marrouche NF. Association of left atrial fibrosis detected by delayed-enhancement magnetic resonance imaging and the risk of stroke in patients with atrial fibrillation. J Am Coll Cardiol. 2011 Feb 15;57(7):831-8. doi: 10.1016/j.jacc.2010.09.049. PubMed 21310320 ↗
  • Siebermair J, Suksaranjit P, McGann CJ, Peterson KA, Kheirkhahan M, Baher AA, Damal K, Wakili R, Marrouche NF, Wilson BD. Atrial fibrosis in non-atrial fibrillation individuals and prediction of atrial fibrillation by use of late gadolinium enhancement magnetic resonance imaging. J Cardiovasc Electrophysiol. 2019 Apr;30(4):550-556. doi: 10.1111/jce.13846. Epub 2019 Jan 24. PubMed 30661270 ↗
  • Habibi M, Zareian M, Ambale Venkatesh B, Samiei S, Imai M, Wu C, Launer LJ, Shea S, Gottesman RF, Heckbert SR, Bluemke DA, Lima JAC. Left Atrial Mechanical Function and Incident Ischemic Cerebrovascular Events Independent of AF: Insights From the MESA Study. JACC Cardiovasc Imaging. 2019 Dec;12(12):2417-2427. doi: 10.1016/j.jcmg.2019.02.021. Epub 2019 Apr 17. PubMed 31005519 ↗
  • Inoue YY, Alissa A, Khurram IM, Fukumoto K, Habibi M, Venkatesh BA, Zimmerman SL, Nazarian S, Berger RD, Calkins H, Lima JA, Ashikaga H. Quantitative tissue-tracking cardiac magnetic resonance (CMR) of left atrial deformation and the risk of stroke in patients with atrial fibrillation. J Am Heart Assoc. 2015 Apr 27;4(4):e001844. doi: 10.1161/JAHA.115.001844. PubMed 25917441 ↗
  • Kamel H, Okin PM, Merkler AE, Navi BB, Campion TR, Devereux RB, Diaz I, Weinsaft JW, Kim J. Relationship between left atrial volume and ischemic stroke subtype. Ann Clin Transl Neurol. 2019 Aug;6(8):1480-1486. doi: 10.1002/acn3.50841. Epub 2019 Jul 26. PubMed 31402612 ↗
  • Al-Saady NM, Obel OA, Camm AJ. Left atrial appendage: structure, function, and role in thromboembolism. Heart. 1999 Nov;82(5):547-54. doi: 10.1136/hrt.82.5.547. PubMed 10525506 ↗
  • Jeong WK, Choi JH, Son JP, Lee S, Lee MJ, Choe YH, Bang OY. Volume and morphology of left atrial appendage as determinants of stroke subtype in patients with atrial fibrillation. Heart Rhythm. 2016 Apr;13(4):820-7. doi: 10.1016/j.hrthm.2015.12.026. Epub 2015 Dec 18. PubMed 26707792 ↗
  • Yaghi S, Song C, Gray WA, Furie KL, Elkind MS, Kamel H. Left Atrial Appendage Function and Stroke Risk. Stroke. 2015 Dec;46(12):3554-9. doi: 10.1161/STROKEAHA.115.011273. Epub 2015 Oct 27. No abstract available. PubMed 26508750 ↗
  • Gaita F, Corsinovi L, Anselmino M, Raimondo C, Pianelli M, Toso E, Bergamasco L, Boffano C, Valentini MC, Cesarani F, Scaglione M. Prevalence of silent cerebral ischemia in paroxysmal and persistent atrial fibrillation and correlation with cognitive function. J Am Coll Cardiol. 2013 Nov 19;62(21):1990-1997. doi: 10.1016/j.jacc.2013.05.074. Epub 2013 Jul 10. PubMed 23850917 ↗
  • Bokura H, Kobayashi S, Yamaguchi S, Iijima K, Nagai A, Toyoda G, Oguro H, Takahashi K. Silent brain infarction and subcortical white matter lesions increase the risk of stroke and mortality: a prospective cohort study. J Stroke Cerebrovasc Dis. 2006 Mar-Apr;15(2):57-63. doi: 10.1016/j.jstrokecerebrovasdis.2005.11.001. PubMed 17904049 ↗
  • Debette S, Beiser A, DeCarli C, Au R, Himali JJ, Kelly-Hayes M, Romero JR, Kase CS, Wolf PA, Seshadri S. Association of MRI markers of vascular brain injury with incident stroke, mild cognitive impairment, dementia, and mortality: the Framingham Offspring Study. Stroke. 2010 Apr;41(4):600-6. doi: 10.1161/STROKEAHA.109.570044. Epub 2010 Feb 18. PubMed 20167919 ↗
  • Gorelick PB, Scuteri A, Black SE, Decarli C, Greenberg SM, Iadecola C, Launer LJ, Laurent S, Lopez OL, Nyenhuis D, Petersen RC, Schneider JA, Tzourio C, Arnett DK, Bennett DA, Chui HC, Higashida RT, Lindquist R, Nilsson PM, Roman GC, Sellke FW, Seshadri S; American Heart Association Stroke Council, Council on Epidemiology and Prevention, Council on Cardiovascular Nursing, Council on Cardiovascular Radiology and Intervention, and Council on Cardiovascular Surgery and Anesthesia. Vascular contributions to cognitive impairment and dementia: a statement for healthcare professionals from the american heart association/american stroke association. Stroke. 2011 Sep;42(9):2672-713. doi: 10.1161/STR.0b013e3182299496. Epub 2011 Jul 21. PubMed 21778438 ↗
  • Cogswell RJ, Norby FL, Gottesman RF, Chen LY, Solomon S, Shah A, Alonso A. High prevalence of subclinical cerebral infarction in patients with heart failure with preserved ejection fraction. Eur J Heart Fail. 2017 Oct;19(10):1303-1309. doi: 10.1002/ejhf.812. Epub 2017 Jul 24. PubMed 28738140 ↗
  • Chubb H, Karim R, Roujol S, Nunez-Garcia M, Williams SE, Whitaker J, Harrison J, Butakoff C, Camara O, Chiribiri A, Schaeffter T, Wright M, O'Neill M, Razavi R. The reproducibility of late gadolinium enhancement cardiovascular magnetic resonance imaging of post-ablation atrial scar: a cross-over study. J Cardiovasc Magn Reson. 2018 Mar 19;20(1):21. doi: 10.1186/s12968-018-0438-y. PubMed 29554919 ↗
  • Margulescu AD, Nunez-Garcia M, Alarcon F, Benito EM, Enomoto N, Cozzari J, Chipa F, Fernandez H, Borras R, Guasch E, Butakoff C, Tolosana JM, Arbelo E, Camara O, Mont L. Reproducibility and accuracy of late gadolinium enhancement cardiac magnetic resonance measurements for the detection of left atrial fibrosis in patients undergoing atrial fibrillation ablation procedures. Europace. 2019 May 1;21(5):724-731. doi: 10.1093/europace/euy314. PubMed 30649273 ↗
  • Bisbal F, Gomez-Pulido F, Cabanas-Grandio P, Akoum N, Calvo M, Andreu D, Prat-Gonzalez S, Perea RJ, Villuendas R, Berruezo A, Sitges M, Bayes-Genis A, Brugada J, Marrouche NF, Mont L. Left Atrial Geometry Improves Risk Prediction of Thromboembolic Events in Patients With Atrial Fibrillation. J Cardiovasc Electrophysiol. 2016 Jul;27(7):804-10. doi: 10.1111/jce.12978. Epub 2016 May 13. PubMed 27027899 ↗
09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Ran from Apr 2021 to primary completion in Jan 2026, 57 months.

Of 796 non-industry interventional studies with no phase under Atrial Fibrillation, half reached primary completion within 40 months of starting (the median), counting those still running; a quarter within 21 and three quarters within 59. This study's 57 months is above that.

Counting every sponsor, half of 1,051 studies reached it within 33 months; a quarter within 18 and three quarters within 54.

How these figures are worked out, and which studies are left out of them.

Registered
Feb 19, 2021
First posted
Feb 24, 2021
StartActual
Apr 26, 2021
Primary completionActual
Jan 27, 2026
CompletionActual
Jan 27, 2026
Last update
Mar 5, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Mar 5, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT04769310
Lead sponsor
Tulane University
Responsible party
Sponsor
First posted
Feb 24, 2021
Start date
Apr 26, 2021
Primary completion
Jan 27, 2026
Completion
Jan 27, 2026
Last update
Mar 5, 2026

Study contacts

Nassir Marrouche, MD
principal investigator · Tulane School of Medicine

Oversight

FDA-regulated drug
No
FDA-regulated device
Yes
View the source record on ClinicalTrials.gov ↗

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