- ICH GCP
- 미국 임상 시험 레지스트리
- 임상시험 NCT07613398
An International Multicenter, Multivendor Evaluation of the Free-Running Framework for Cardiac Function (FAST-CMR)
Assessment and Validation of the Established Free-Running Framework for Cardiac Function by Magnetic Resonance Imaging (FAST-CMR): An International Multi-Center, Multi-Vendor Study at 1.5T
This project aims to evaluate a new cardiac MRI technique called the Free-Running Framework (FRF), which could simplify and accelerate the process of acquiring cardiac images. The investigators want to verify whether this method can provide functional heart measurements comparable to those obtained with traditional methods. More specifically, the goal of the study is to compare the measurements obtained with FRF to those obtained with standard sequences, to ensure they match and that this new approach can be reliably used in clinical practice. The FRF technique works differently from standard cardiac MRI. In standard exams, patients are asked to hold their breath several times and small electrodes (ECG) are used to monitor the heartbeat during the scan. These steps are needed to get clearer images of the heart as it moves. With FRF, these steps are no longer necessary: the scan is performed while patients' breath normally and without ECG monitoring. In addition, standard MRI takes multiple 2D slices of the heart, one after another. The FRF method instead captures a 3D image of the entire heart in one go, which can improve the consistency of the exam and reduce errors when doctors analyze the images later. This is all possible because the FRF method records data continuously and then organizes the images afterward based on how participants heart and breathing were moving during the exam. This helps the imager to get clear images of the heart, even without breath-holding or ECG monitoring. This project is aimed at individuals with heart disease who require cardiac MRI exams to monitor their health status (age ≥ 18 years) and are able to clearly understand the instructions provided by the research team. The investigators have already conducted small-scale technical and feasibility studies using FRF. These studies have shown that FRF is easy to use, faster than traditional methods, and provides image quality comparable to standard imaging techniques. The investigators now wish to evaluate its use in a clinical setting. More specifically, the investigators need to verify that FRF provides the same essential diagnostic information as standard techniques, so that it can be reliably used in future patient care. A maximum of 300 participants will be included in the investigation of this MRI technique between 2026 and 2031. This is a multi-center study, conducted internationally across 18 centers.
This project is being carried out in compliance with Swiss legislation. The investigators follow all internationally recognized guidelines. The competent ethics committee has reviewed and approved this project.
연구 개요
상세 설명
Cardiovascular disease remains the leading cause of death in industrialized nations. While a range of diagnostic tools exists for cardiovascular disease detection and monitoring, magnetic resonance imaging (MRI) remains the only modality that enables a safe, non-invasive assessment of the heart without exposure to ionizing radiation. MRI allows for a comprehensive evaluation of cardiac anatomy, function, myocardial tissue characterization, and blood flow quantification, making it a powerful tool for cardiovascular diagnostics.
Despite strong clinical evidence supporting its utility, cardiac MRI (CMR) remains underutilized, primarily due to the length and complexity of a traditional CMR exam. Several factors contribute to the length and complexity of a standard CMR exam. First, a standard CMR protocol relies heavily on two-dimensional (2D) image acquisitions, each requiring manual slice planning by an experienced technologist-a process that is both time consuming and highly dependent on operator expertise. Second, traditional image acquisition requires electrocardiogram (ECG) triggering to synchronize with the cardiac cycle, requiring additional setup and potentially introducing errors if the ECG signal is suboptimal. Finally, most conventional sequences rely on repeated patient breath-holding to minimize respiratory motion artifacts, which can be particularly challenging for individuals with severe cardiovascular disease, congenital anomalies, or limited compliance. Even for highly skilled personnel, this process is timeconsuming and inefficient. Consequently, a significant portion of the patient's time in the scanner is spent on preparation and planning rather than actual image acquisition, leading to prolonged exam durations and increased healthcare costs.
Given these challenges, there is a strong need for simplified, automated, and time-efficient CMR acquisitions. In response to this challenge, the investigators research group has developed an innovative "free-running framework" (FRF)-a set of MRI methods that continuously acquire threedimensional (3D) image data across the entire cardiac cycle and throughout free breathing, irrespective of cardiac or respiratory motion. Unlike conventional CMR sequences that require separate, prospectively planned acquisitions for each imaging plane and time point, FRF employs continuous, self-navigated data acquisition. This eliminates the need for complex slice planning and enables retrospective reconstruction of cardiac motion, ensuring that imaging is both standardized and independent of user expertise. By leveraging advanced motion-resolved reconstruction algorithms developed by the investigators group, the investigators can derive both cardiac and respiratory motion from a single dataset, providing a fully automated, 3D whole-heart imaging approach.
Once diagnosed, patients with cardiac diseases often require lifelong monitoring and repeated imaging assessments to guide treatment decisions and evaluate disease progression. This makes a non-ionizing imaging modality like CMR admirable. Nonetheless, the prolonged scan durations and intricate manual planning associated with traditional CMR limit its accessibility and practical feasibility. By eliminating the need for slice planning and reducing scan complexity, FRF has the potential to significantly improve imaging for cardiac disease patients by:
- Standardizing imaging: producing user-independent results robust to anatomical variations.
- Reducing scan times: without compromising diagnostic information.
- Improving accessibility: enabling easier adoption in centers with less experienced technologists.
The feasibility of FRF has been demonstrated in experimental, pre-clinical, and small observational clinical studies, with no observed adverse effects. This study aims to evaluate its clinical feasibility and efficiency in real-world cardiac disease patients across multiple cardiac institutions, serving as a precursor for larger validation studies and eventual clinical implementation. This study will provide the first systematic clinical evaluation of 3D FRF across multiple cardiac institutions in cardiac disease patients, assessing both its technical feasibility and potential workflow benefits in a real-world setting. In particular, this study will:
- Evaluate whether diagnostic information from FRF matches or exceeds standard CMR.
- Assess the efficiency gains and the impact of automated, self-navigated imaging on scan duration and patient comfort.
If successful, this study will lay the groundwork for future multi-center validation clinical trial studies and eventual clinical integration, addressing a critical gap in CMR accessibility and efficiency.
연구 유형
등록 (추정된)
연락처 및 위치
연구 연락처
- 이름: Katerina Eyre, PhD
- 전화번호: +41213147513
- 이메일: katerina.eyre@chuv.ch
연구 연락처 백업
- 이름: Matthias Stuber, PhD
- 전화번호: +41213147534
- 이메일: matthias.stuber@chuv.ch
연구 장소
-
-
Western Cape
-
Cape Town, Western Cape, 남아프리카, 7700
- University of Cape Town
-
연락하다:
- Ntobeko Ntusi, MD, PhD
- 전화번호: +27 21 406 6358
- 이메일: ntobeko.ntusi@uct.ac.za
-
-
-
-
Limburg
-
Maastricht, Limburg, 네덜란드, 6229 HX
- Maastricht University Medical Center
-
연락하다:
- Robert J. Holtackers, PhD
- 전화번호: +31 43 387 49 10
- 이메일: rob.holtackers@mumc.nl
-
-
-
-
North Rhine-Westphalia
-
Bonn, North Rhine-Westphalia, 독일, 53113
- University of Bonn
-
연락하다:
- Julian Luetkens, MD, PhD
- 전화번호: +49 228 287 19860
- 이메일: Julian.Luetkens@ukbonn.de
-
Cologne, North Rhine-Westphalia, 독일, 50931
- Cologne University Medical Center
-
연락하다:
- David Maintz, MD, PhD
- 전화번호: +49 221 478-82035
- 이메일: david.maintz@uk-koeln.de
-
-
State of Berlin
-
Berlin, State of Berlin, 독일, 10117
- Charité - Universitätsmedizin Berlin
-
연락하다:
- Sebastian Kelle, MD, PhD
- 전화번호: +493045931182
- 이메일: sebastian.kelle@dhzc-charite.de
-
-
-
-
California
-
Los Angeles, California, 미국, 90095
- University of California, Los Angeles
-
연락하다:
- Kim-Lien Nguyen, MD
- 전화번호: +1 (310) 825-1234
- 이메일: KimLienNguyen@mednet.ucla.edu
-
-
Georgia
-
Atlanta, Georgia, 미국, 30322
- Emory University
-
연락하다:
- John Oshinski, PhD
- 전화번호: +1 404-727-5894
- 이메일: jnoshin@emory.edu
-
-
Illinois
-
Chicago, Illinois, 미국, 60611
- Ann & Robert H Lurie Children's Hospital of Chicago
-
연락하다:
- Joshua D. Robinson, MD
- 전화번호: +1 312-227-4638
- 이메일: jdrobinson@luriechildrens.org
-
-
Massachusetts
-
Boston, Massachusetts, 미국, 02115
- Boston's Children Hospital
-
연락하다:
- Andrew Powell, MD
- 전화번호: +1 617-355-2079
- 이메일: andrew.powell@cardio.chboston.org
-
-
Minnesota
-
Rochester, Minnesota, 미국, 55902
- Mayo Clinic
-
연락하다:
- Tim Leiner, MD, PhD
- 전화번호: +1 507-284-2511
- 이메일: leiner.tim@mayo.edu
-
-
Missouri
-
St Louis, Missouri, 미국, 63130
- Washington University in St. Louis
-
연락하다:
- Pamela Woodard, MD
- 전화번호: +1 314-747-3386
- 이메일: woodardp@nospam.wustl.edu
-
-
Ohio
-
Columbus, Ohio, 미국, 43210
- Ohio State University
-
연락하다:
- Yuchi Han, MD
- 전화번호: +1 614-292-6446
- 이메일: yuchi.han@osumc.edu
-
-
Pennsylvania
-
Philadelphia, Pennsylvania, 미국, 19104
- Children's Hospital of Philadelphia
-
연락하다:
- Mark Fogel, MD
- 전화번호: +1 215-590-3534
- 이메일: fogel@email.chop.edu
-
-
Texas
-
Dallas, Texas, 미국, 75390
- UT Southwestern Medical Center
-
연락하다:
- Franz Gerald Greil, MD, PhD
- 전화번호: +1 214-648-3111
- 이메일: gerald.greil@utsouthwestern.edu
-
-
-
-
Singapore
-
Singapore, Singapore, 싱가포르, 119275
- National University of Singapore
-
연락하다:
- Liang Zhong, PhD
- 전화번호: +65 67042237
- 이메일: gmszl@nus.edu.sg
-
-
-
-
London
-
London, London, 영국, WC2R2LS
- King's College London
-
연락하다:
- Amedeo Chiribiri, MD, PhD
- 전화번호: +44 20 7188 8259
- 이메일: amedeo.chiribiri@kcl.ac.uk
-
-
-
-
Lazio
-
Rome, Lazio, 이탈리아, 00168
- Università Cattolica - Fondazione Policlinico Gemelli IRCCS
-
연락하다:
- Luigi Natale, MD
- 전화번호: +971 56 666 0984
- 이메일: luigi.natale@unicatt.it
-
-
-
-
Mie-ken
-
Tsu, Mie-ken, 일본, 514-8507
- Mie University
-
연락하다:
- Hajime Sakuma, MD, PhD
- 전화번호: +81 59 231 5029
- 이메일: sakuma@med.mie-u.ac.jp
-
-
-
-
Capital District
-
Bogotá, Capital District, 콜롬비아, 111156
- Fundacion Cardioinfantil-LaCardio
-
연락하다:
- Carlos Guerrero, MD
- 전화번호: +57 (601) 744 2000
- 이메일: ceguerrero@lacardio.org
-
-
-
-
Victoria
-
Melbourne, Victoria, 호주, 3010
- University of Melbourne
-
연락하다:
- Ruth Lim, MD
- 전화번호: +61 3 9035 5511
- 이메일: ruthplim74@gmail.com
-
-
참여기준
자격 기준
공부할 수 있는 나이
- 어린이
- 성인
- 고령자
건강한 자원 봉사자를 받아들입니다
샘플링 방법
연구 인구
설명
Inclusion Criteria:
- Diagnosed with cardiac disease of any complexity and scheduled for a clinical cardiac MRI on a clinical 1.5T MRI scanner
- Able to understand and provide written informed consent or, for minors, ability to provide assent with written consent from a parent/legal representative, per local law and site policy prior to the study
- Ability to undergo MRI without contraindications
- Agrees to be informed in the event of incidental findings
Exclusion Criteria:
- Severe claustrophobia preventing MRI completion
- Presence of non-MRI compatible implants (e.g., pacemakers, certain metallic implants)
- Contraindications to the intravenous contrast agent
- Movement disorders or inability to remain still during the scan
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
코호트 및 개입
그룹/코호트 |
|---|
|
Patients with congenital heart disease
FAST-CMR will evaluate the technique's performance in complex, heterogeneous anatomy.
|
|
Patients unable to perform breath-holding
including those with advanced heart failure, pulmonary hypertension, or chronic obstructive pulmonary disease (COPD), representing a subgroup where conventional breath-held CMR techniques are often suboptimal or not feasible.
|
|
Other cardiovascular disease patients who are able to perform breath-holding
This group represents the standard patient population for whom conventional CMR is currently optimized.
|
연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
|
mean paired difference (bias) in left ventricular ejection fraction (LVEF) between 5D FISS-FRF and conventional 2D cine CMR
기간: Baseline (during study MRI acquisition)
|
estimated with a two-sided 95% confidence interval within each pre-defined patient cohort.
The study is designed to ensure that the half-width of this confidence interval does not exceed 1.25% LVEF per cohort.
|
Baseline (during study MRI acquisition)
|
2차 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
|
Scan Efficiency
기간: Baseline (during study MRI acquisition)
|
|
Baseline (during study MRI acquisition)
|
|
Quantitative Image Quality
기간: Baseline (during study MRI acquisition)
|
o Contrast ratio and endocardial-to-blood-pool interface sharpness between 5D FISS-FRF and conventional 2D cine.
|
Baseline (during study MRI acquisition)
|
|
Qualitative Image Quality
기간: Baseline (during study MRI acquisition)
|
o Likert scale (0-4) consensus grading by ≥2 expert CMR readers blinded to images from both techniques.
|
Baseline (during study MRI acquisition)
|
|
Failure Rate
기간: Baseline (during study MRI acquisition)
|
o Percentage of non-diagnostic or excluded scans.
|
Baseline (during study MRI acquisition)
|
|
Anatomical Coverage
기간: Baseline (during study MRI acquisition)
|
o Extent of volumetric coverage of the entire heart and related great vessels.
|
Baseline (during study MRI acquisition)
|
|
Multiparametric Capability
기간: Baseline (during study MRI acquisition)
|
o Presence of additional diagnostic insights from respiratory motion tracking of FRF.
|
Baseline (during study MRI acquisition)
|
|
Clinical Acceptability of LVEF Measurements (±5% Threshold)
기간: Baseline (during study MRI acquisition)
|
o Exploratory analyses will assess whether observed agreement metrics are compatible with commonly used clinical acceptability thresholds (e.g., ±5% LVEF).
These analyses are hypothesis-generating and intended to inform future confirmatory studies.
|
Baseline (during study MRI acquisition)
|
|
LV mass
기간: Baseline (during study MRI acquisition)
|
Comparison between 5D FISS-FRF and 2D conventional cine
|
Baseline (during study MRI acquisition)
|
|
Regional wall motion abnormalities
기간: Baseline (during study MRI acquisition)
|
assessed using a 4-point likert scale per AHA segment (normal, hypokinesia, akinesia, dyskinesia)
|
Baseline (during study MRI acquisition)
|
|
Left and right atrial volumes
기간: Baseline (during study MRI acquisition)
|
maximum and minimum volumes and total atrial emptying fraction derived from conventional 2D cine long-axis views compared to 5D FISS-FRF
|
Baseline (during study MRI acquisition)
|
|
Agreement of Automated Ventricular Ejection Fraction Measurements (LVEF, RVEF)
기간: Baseline (during study MRI acquisition)
|
Agreement of automatically post-processed ventricular ejection fraction measurements (LVEF, RVEF) derived from 5D FISS-FRF with (1) standard post-processing of 5D FISS-FRF and (2) standard post-processing of conventional 2D cine cardiac MRI.
Agreement will be assessed using appropriate statistical metrics.
|
Baseline (during study MRI acquisition)
|
|
Agreement of Automated Ventricular Function Measurements (LVEDV, LVESV, LVSV, RVEDV, RVESV, RVSV)
기간: Baseline (during study MRI acquisition)
|
Agreement of automatically post-processed ventricular function metrics (LVEDV, LVESV, LVSV, RVEDV, RVESV, RVSV) derived from 5D FISS-FRF with (1) standard post-processing of 5D FISS-FRF and (2) standard post-processing of conventional 2D cine cardiac MRI.
Agreement will be assessed using appropriate statistical metrics.
|
Baseline (during study MRI acquisition)
|
|
Feasibility of AI-Based Image Reconstruction
기간: Baseline (during study MRI acquisition)
|
Percentage of reconstructed datasets that are considered clinically usable based on predefined quality criteria.
|
Baseline (during study MRI acquisition)
|
|
Reconstruction Time
기간: Baseline (during study MRI acquisition)
|
Comparison of reconstruction time between AI-based reconstruction and standard compressed sensing methods.
|
Baseline (during study MRI acquisition)
|
|
Accuracy of Ventricular Ejection Fraction Measurements
기간: Baseline (during study MRI acquisition)
|
Comparison of left and right ventricular ejection fraction (LVEF, RVEF) between AI-based and standard reconstructions.
|
Baseline (during study MRI acquisition)
|
|
Accuracy of Ventricular Volume Measurements
기간: Baseline (during study MRI acquisition)
|
Comparison of left and right ventricular end-diastolic volume (EDV), end-systolic volume (ESV), and stroke volume (SV) between AI-based and standard reconstructions.
|
Baseline (during study MRI acquisition)
|
|
Accuracy of Left Ventricular Mass Measurements
기간: Baseline (during study MRI acquisition)
|
Comparison of left ventricular mass between AI-based and standard reconstructions.
|
Baseline (during study MRI acquisition)
|
|
Voxel-wise Image Similarity Between Reconstruction Methods
기간: Baseline (during study MRI acquisition)
|
Image similarity assessed using structural similarity index measure (SSIM), peak signal-to-noise ratio (PSNR), and root mean squared error (RMSE).
|
Baseline (during study MRI acquisition)
|
|
Quantitative Image Quality
기간: Baseline (during study MRI acquisition)
|
Contrast ratio and endocardial-to-blood-pool interface sharpness between reconstruction methods.
|
Baseline (during study MRI acquisition)
|
|
Qualitative Image Quality
기간: Baseline (during study MRI acquisition)
|
Likert scale (0-4) consensus grading by ≥2 expert CMR readers blinded to images from both reconstruction methods.
|
Baseline (during study MRI acquisition)
|
공동 작업자 및 조사자
스폰서
수사관
- 수석 연구원: Matthias Stuber, PhD, CHUV
- 수석 연구원: Tim Leiner, MD, PhD, Mayo Clinic
- 수석 연구원: Kim-Lien Nguyen, MD, University of California, Los Angeles
간행물 및 유용한 링크
일반 간행물
- Ogier AC, Baup S, Ilanjian G, Touray A, Rocca A, Banus J, Monton Quesada I, Nicoletti M, Ledoux JB, Richiardi J, Holtackers RJ, Yerly J, Stuber M, Hullin R, Rotzinger D, van Heeswijk RB. Cardiac function assessment with deep-learning-based automatic segmentation of free-running four-dimensional whole-heart cardiovascular magnetic resonance. J Cardiovasc Magn Reson. 2025 Dec 24;28(1):102677. doi: 10.1016/j.jocmr.2025.102677. Online ahead of print.
- Koktzoglou I, Edelman RR. Radial fast interrupted steady-state (FISS) magnetic resonance imaging. Magn Reson Med. 2018 Apr;79(4):2077-2086. doi: 10.1002/mrm.26881. Epub 2017 Aug 30.
- Yerly J, Roy CW, Milani B, Eyre K, Raifee MJ, Stuber M. High on sparsity: Interbin compensation of cardiac motion for improved assessment of left-ventricular function using 5D whole-heart MRI. Magn Reson Med. 2025 Mar;93(3):975-992. doi: 10.1002/mrm.30323. Epub 2024 Oct 9.
- Bastiaansen JAM, Piccini D, Di Sopra L, Roy CW, Heerfordt J, Edelman RR, Koktzoglou I, Yerly J, Stuber M. Natively fat-suppressed 5D whole-heart MRI with a radial free-running fast-interrupted steady-state (FISS) sequence at 1.5T and 3T. Magn Reson Med. 2020 Jan;83(1):45-55. doi: 10.1002/mrm.27942. Epub 2019 Aug 27.
- Di Sopra L, Piccini D, Coppo S, Stuber M, Yerly J. An automated approach to fully self-gated free-running cardiac and respiratory motion-resolved 5D whole-heart MRI. Magn Reson Med. 2019 Dec;82(6):2118-2132. doi: 10.1002/mrm.27898. Epub 2019 Jul 18.
연구 기록 날짜
연구 주요 날짜
연구 시작 (추정된)
기본 완료 (추정된)
연구 완료 (추정된)
연구 등록 날짜
최초 제출
QC 기준을 충족하는 최초 제출
처음 게시됨 (실제)
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
추가 정보
이 연구와 관련된 용어
키워드
추가 관련 MeSH 약관
기타 연구 ID 번호
- 2025-00923
약물 및 장치 정보, 연구 문서
미국 FDA 규제 의약품 연구
미국 FDA 규제 기기 제품 연구
이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .
심장병에 대한 임상 시험
-
Near East University, TurkeyAl-Ahli Hospital, Hebron모집하지 않고 적극적으로DVT 예방 | DVT - 심부 정맥 혈전증 | 심장 온펌프 수술 | DVT 예방 | On-pump Cardiac Surgery - Prevention - Intervention - Experimental Group - Control Group - Incidence - Complications | 간호 관리 프로토콜키프로스
-
University of Pennsylvania완전한Intrntl Classification of Diseases, 9th Revision, (ICD-9-CM) 410의 주진단 또는 이차진단 코드가 있는 환자(5번째 숫자가 2인 경우 제외)미국