Comprehensive Computed Tomography Guidance of Coronary Bypass Graft Surgery

NCT ID: NCT03894423

Last Updated: 2025-03-30

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

200 participants

Study Classification

OBSERVATIONAL

Study Start Date

2019-05-01

Study Completion Date

2028-01-31

Brief Summary

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Apply CT angiography, CT perfusion imaging and advanced image processing techniques to improve revascularization decision-making and surgical strategies in patients undergoing coronary artery bypass graft surgery.

Detailed Description

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The objective of this study is to integrate noninvasively acquired anatomical and functional information to develop clinically applicable tools for meaningful per-vessel revascularization decisions. The decisions will be based on quantitative lesion-specific ischemia and viability and flow simulations. These will be based on CT anatomy enhanced with a function for prediction of hemodynamic improvement after CABG.

Aim 1: Predict restoration of myocardial perfusion from coronary artery bypass graft surgery. The investigators will perform cardiac CT before and after CABG and measure absolute changes in myocardial perfusion as the functional outcome of CABG. The investigators will investigate clinical, surgical and imaging variables in association with post-CABG perfusion improvement on a per-vessel and per-patient level.

Aim 2: Non-invasively quantify vessel-specific ischemia for meaningful CABG decisions.

The investigators will develop and validate tools for assessment of vessel-specific ischemia and viability. The investigators will assess the potential impact of CT guided CABG by comparing the per-vessel need for grafting with standard care.

Aim 3: Predict CABG benefit through multi-parameter flow simulations Hypothesis: Integration of myocardial perfusion and viability can improve flow simulation models to predict CABG outcome. The investigators will develop new computational fluid dynamics models enriched with functional parameters and explore the potential of virtual grafting to improve hemodynamic outcomes.

Conditions

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CAD Atheroscleroses, Coronary Computed Tomography Coronary Artery Bypass

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Planned elective CABG for coronary artery disease.
* CABG is the primary indication for surgery (but may include treatment of mild-moderate valvular disease).
* Age: ≥40 years.

Exclusion Criteria

* Technical feasibility of the cardiac CT exams: redo-CABG, significant arrhythmia/mal-conduction, congenital conditions, severe valvular disease or cardiomyopathy (to the extent that the CT acquisition is technically challenged), inadequate understanding of the English language (to provide consent or follow instructions during the exams).
* Overall safety: unstable clinical condition (clinical heart failure, unstable angina, myocardial infarction \<1 month prior).
* Radiation risk: pregnancy (cannot be ruled out), body weight \>100kg.
* CT contrast medium-related: known allergy, renal failure
* Vasodilator related: known allergy, bronchial asthma requiring daily use of bronchodilators, Mobitz II or 3rd degree AV block, sick sinus node disease, clinically significant carotid artery narrowing, severe aortic stenosis or LVOT narrowing, systolic blood pressure below 90mmHg, (continued) use of dipyridamole or aminophylline.
* Inability to provide informed consent.
Minimum Eligible Age

40 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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National Heart, Lung, and Blood Institute (NHLBI)

NIH

Sponsor Role collaborator

University of California, San Diego

OTHER

Sponsor Role collaborator

VA Palo Alto Health Care System

FED

Sponsor Role collaborator

Stanford University

OTHER

Sponsor Role lead

Responsible Party

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Koen Nieman

Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Koen Nieman, MD, PhD

Role: PRINCIPAL_INVESTIGATOR

Stanford University

Locations

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Palo Alto Veterans Affaird Healthcare System

Palo Alto, California, United States

Site Status RECRUITING

Stanford University

Palo Alto, California, United States

Site Status RECRUITING

University of California San Diego

San Diego, California, United States

Site Status RECRUITING

Countries

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United States

Central Contacts

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Sarah Magee

Role: CONTACT

(650) 723-2300

Facility Contacts

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Phyo Aung

Role: primary

Patricia Nguyen, MD

Role: backup

Sarah Magee

Role: primary

(650) 723-2300

Koen Nieman, MD, PhD

Role: backup

Andrew Kahn, MD

Role: primary

Other Identifiers

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1R01HL141712-01A1

Identifier Type: NIH

Identifier Source: secondary_id

View Link

MZ-0048352

Identifier Type: OTHER

Identifier Source: secondary_id

IRB-49945

Identifier Type: -

Identifier Source: org_study_id

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