1
|
Weberling LD, Albert D, Ochs A, Ochs M, Siry D, Salatzki J, Giannitsis E, Frey N, Riffel J, André F. Layer-specific fast strain-encoded cardiac magnetic resonance imaging aids in the identification and discrimination of acute myocardial injury: a prospective proof-of-concept study. J Cardiovasc Magn Reson 2024; 26:101001. [PMID: 38244931 PMCID: PMC11211227 DOI: 10.1016/j.jocmr.2024.101001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 01/11/2024] [Indexed: 01/22/2024] Open
Abstract
BACKGROUND Acute myocardial injury is a common diagnosis in the emergency department and differential diagnoses are numerous. Cardiac magnetic resonance (CMR) strain sequences, such as fast strain ENCoded (fSENC), are early predictors of myocardial function loss. This study assessed the potential diagnostic and prognostic benefits of a layer-specific approach. METHODS For this prospective study, patients in the emergency department fulfilling rule-in criteria for non-ST-elevation myocardial infarction (NSTEMI) received an ultra-fast fSENC CMR. Volunteers without cardiac diseases (controls) were recruited for comparison. Measurements were performed in a single heartbeat acquisition to measure global longitudinal strain (GLS) and segmental longitudinal strain and dysfunctional segments. The GLS was measured in two layers and a difference (GLSdifference = GLSepicardial - GLSendocardial) was calculated. The performance of those strain features was compared to standard care (physical examination, cardiac biomarkers, electrocardiogram). According to the final diagnosis after discharge, patients were divided into groups and followed up for 2 years. RESULTS A total of 114 participants, including 50 controls, were included. The 64 patients (51 male) were divided into a NSTEMI (25), myocarditis (16), and other myocardial injury group (23). GLS served as a potent predictor of myocardial injury (area under the curve (AUC) 91.8%). The GLSdifference provided an excellent diagnostic performance to identify a NSTEMI (AUC 83.2%), further improved by including dysfunctional segments (AUC 87.5%, p = 0.01). An optimal test was achieved by adding fSENC to standard care (AUC 95.5%, sensitivity 96.0%, specificity 86.5%, p = 0.03). No death occurred in 2 years for patients with normal GLS and ≤5 dysfunctional segments, while three patients died that showed abnormal GLS or >5 dysfunctional segments. CONCLUSIONS Layer-specific strain is a potential new marker with high diagnostic performance in the identification and differentiation of acute myocardial injuries.
Collapse
Affiliation(s)
- Lukas D Weberling
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany; DZHK (German Centre for Cardiovascular Research), Heidelberg, Germany.
| | - David Albert
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany
| | - Andreas Ochs
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany; DZHK (German Centre for Cardiovascular Research), Heidelberg, Germany
| | - Marco Ochs
- Department of Cardiology, Angiology, Frankfurt University Hospital, Frankfurt am Main, Germany; Faculty of Medicine, University of Heidelberg, Heidelberg, Germany
| | - Deborah Siry
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany
| | - Janek Salatzki
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany; DZHK (German Centre for Cardiovascular Research), Heidelberg, Germany
| | - Evangelos Giannitsis
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany; DZHK (German Centre for Cardiovascular Research), Heidelberg, Germany
| | - Norbert Frey
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany; DZHK (German Centre for Cardiovascular Research), Heidelberg, Germany
| | - Johannes Riffel
- Department of Cardiology and Angiology, Robert-Bosch-Hospital, Stuttgart, Germany
| | - Florian André
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany; DZHK (German Centre for Cardiovascular Research), Heidelberg, Germany
| |
Collapse
|
2
|
Guensch DP, Kuganathan S, Utz CD, Neuenschwander MD, Grob L, Becker P, Oeri S, Huber AT, Berto MB, Spano G, Gräni C, Friedrich MG, Eberle B, Fischer K. Analysis of bi-atrial function using CMR feature tracking and long-axis shortening approaches in patients with diastolic dysfunction and atrial fibrillation. Eur Radiol 2023; 33:7226-7237. [PMID: 37145149 PMCID: PMC10511591 DOI: 10.1007/s00330-023-09663-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 02/12/2023] [Accepted: 02/27/2023] [Indexed: 05/06/2023]
Abstract
OBJECTIVES Atrial function can be assessed using advancing cardiovascular magnetic resonance (CMR) post-processing methods: atrial feature tracking (FT) strain analysis or a long-axis shortening (LAS) technique. This study aimed to first compare the two FT and LAS techniques in healthy individuals and cardiovascular patients and then investigated how left (LA) and right atrial (RA) measurements are related to the severity of diastolic dysfunction or atrial fibrillation. METHODS Sixty healthy controls and 90 cardiovascular disease patients with coronary artery disease, heart failure, or atrial fibrillation, underwent CMR. LA and RA were analyzed for standard volumetry as well as for myocardial deformation using FT and LAS for the different functional phases (reservoir, conduit, booster). Additionally, ventricular shortening and valve excursion measurements were assessed with the LAS module. RESULTS The measurements for each of the LA and RA phases were correlated (p < 0.05) between the two approaches, with the highest correlation coefficients occurring in the reservoir phase (LA: r = 0.83, p < 0.01, RA: r = 0.66, p < 0.01). Both methods demonstrated reduced LA (FT: 26 ± 13% vs 48 ± 12%, LAS: 25 ± 11% vs 42 ± 8%, p < 0.01) and RA reservoir function (FT: 28 ± 15% vs 42 ± 15%, LAS: 27 ± 12% vs 42 ± 10%, p < 0.01) in patients compared to controls. Atrial LAS and FT decreased with diastolic dysfunction and atrial fibrillation. This mirrored ventricular dysfunction measurements. CONCLUSION Similar results were generated for bi-atrial function measurements between two CMR post-processing approaches of FT and LAS. Moreover, these methods allowed for the assessment of incremental deterioration of LA and RA function with increasing left ventricular diastolic dysfunction and atrial fibrillation. A CMR-based analysis of bi-atrial strain or shortening discriminates patients with early-stage diastolic dysfunction prior to the presence of compromised atrial and ventricular ejection fractions that occur with late-stage diastolic dysfunction and atrial fibrillation. KEY POINTS • Assessing right and left atrial function with CMR feature tracking or long-axis shortening techniques yields similar measurements and could potentially be used interchangeably based on the software capabilities of individual sites. • Atrial deformation and/or long-axis shortening allow for early detection of subtle atrial myopathy in diastolic dysfunction, even when atrial enlargement is not yet apparent. • Using a CMR-based analysis to understand the individual atrial-ventricular interaction in addition to tissue characteristics allows for a comprehensive interrogation of all four heart chambers. In patients, this could add clinically meaningful information and potentially allow for optimal therapies to be chosen to better target the dysfunction.
Collapse
Affiliation(s)
- Dominik P Guensch
- Department of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Diagnostic, Interventional and Paediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Shagana Kuganathan
- Department of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Christoph D Utz
- Department of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Mario D Neuenschwander
- Department of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Leonard Grob
- Department of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Philipp Becker
- Department of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Salome Oeri
- Department of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Adrian T Huber
- Department of Diagnostic, Interventional and Paediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Martina Boscolo Berto
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Giancarlo Spano
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Christoph Gräni
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Matthias G Friedrich
- Department of Medicine, McGill University, Montreal, QC, Canada
- Department of Radiology, McGill University, Montreal, QC, Canada
| | - Balthasar Eberle
- Department of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Kady Fischer
- Department of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
- Department of Diagnostic, Interventional and Paediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
| |
Collapse
|
3
|
Siry D, Riffel J, Salatzki J, André F, Weberling LD, Ochs M, Atia NA, Hillier E, Albert D, Katus HA, Giannitsis E, Frey N, Friedrich MG. A head-to-head comparison of fast-SENC and feature tracking to LV long axis strain for assessment of myocardial deformation in chest pain patients. BMC Med Imaging 2022; 22:159. [PMID: 36064332 PMCID: PMC9442977 DOI: 10.1186/s12880-022-00886-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 08/19/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Myocardial strain imaging has gained importance in cardiac magnetic resonance (CMR) imaging in recent years as an even more sensitive marker of early left ventricular dysfunction than left-ventricular ejection fraction (LVEF). fSENC (fast strain encoded imaging) and FT (feature tracking) both allow for reproducible assessment of myocardial strain. However, left-ventricular long axis strain (LVLAS) might enable an equally sensitive measurement of myocardial deformation as global longitudinal or circumferential strain in a more rapid and simple fashion. METHODS In this study we compared the diagnostic performance of fSENC, FT and LVLAS for identification of cardiac pathology (ACS, cardiac-non-ACS) in patients presenting with chest pain (initial hscTnT 5-52 ng/l). Patients were prospectively recruited from the chest pain unit in Heidelberg. The CMR scan was performed within 1 h after patient presentation. Analysis of LVLAS was compared to the GLS and GCS as measured by fSENC and FT. RESULTS In total 40 patients were recruited (ACS n = 6, cardiac-non-ACS n = 6, non-cardiac n = 28). LVLAS was comparable to fSENC for differentiation between healthy myocardium and myocardial dysfunction (GLS-fSENC AUC: 0.882; GCS-fSENC AUC: 0.899; LVLAS AUC: 0.771; GLS-FT AUC: 0.740; GCS-FT: 0.688), while FT-derived strain did not allow for differentiation between ACS and non-cardiac patients. There was significant variability between the three techniques. Intra- and inter-observer variability (OV) was excellent for fSENC and FT, while for LVLAS the agreement was lower and levels of variability higher (intra-OV: Pearson > 0.7, ICC > 0.8; inter-OV: Pearson > 0.65, ICC > 0.8; CoV > 25%). CONCLUSIONS While reproducibility was excellent for both FT and fSENC, it was only fSENC and the LVLAS which allowed for significant identification of myocardial dysfunction, even before LVEF, and therefore might be used as rapid supporting parameters for assessment of left-ventricular function.
Collapse
Affiliation(s)
- Deborah Siry
- Department of Cardiology, Angiology and Pneumology, University Clinic of Heidelberg, Heidelberg, Germany.
| | - Johannes Riffel
- Department of Cardiology and Angiology, Robert-Bosch-Hospital, Stuttgart, Germany
| | - Janek Salatzki
- Department of Cardiology, Angiology and Pneumology, University Clinic of Heidelberg, Heidelberg, Germany
| | - Florian André
- Department of Cardiology, Angiology and Pneumology, University Clinic of Heidelberg, Heidelberg, Germany
| | - Lukas Damian Weberling
- Department of Cardiology, Angiology and Pneumology, University Clinic of Heidelberg, Heidelberg, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg, Heidelberg, Germany
| | - Marco Ochs
- Department of Cardiology, Angiology and Internal Intensive Care, Theresien-Hospital, Mannheim, Germany
| | - Noura A Atia
- Diagnostic Radiology and Medical Imaging Department, Faculty of Medicine, Tanta University, Tanta, Egypt
| | - Elizabeth Hillier
- Departments of Medicine and Diagnostic Radiology, McGill University Health Centre, Montreal, QC, Canada
| | - David Albert
- Department of Cardiology, Angiology and Pneumology, University Clinic of Heidelberg, Heidelberg, Germany
| | - Hugo A Katus
- Department of Cardiology, Angiology and Pneumology, University Clinic of Heidelberg, Heidelberg, Germany
| | - Evangelos Giannitsis
- Department of Cardiology, Angiology and Pneumology, University Clinic of Heidelberg, Heidelberg, Germany
| | - Norbert Frey
- Department of Cardiology, Angiology and Pneumology, University Clinic of Heidelberg, Heidelberg, Germany
| | - Matthias G Friedrich
- Departments of Medicine and Diagnostic Radiology, McGill University Health Centre, Montreal, QC, Canada
| |
Collapse
|
4
|
Hypverventilation strain CMR imaging in patients with acute chest pain. Sci Rep 2022; 12:13584. [PMID: 35945332 PMCID: PMC9363440 DOI: 10.1038/s41598-022-17856-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 08/02/2022] [Indexed: 11/08/2022] Open
Abstract
In patients with suspected acute coronary syndrome high-sensitivity cardiac tropnonin T is used for rapid patient triage. Some acute coronary syndrome patients assigned to the observe zone based on high-sensitivity cardiac troponin T after 1 h require further diagnostic testing. Fast-strain encoded CMR imaging with breathing maneuvers may accelerate diagnostic work-up and identify patients suffering from acute coronary syndrome. Patients presenting with acute chest pain (high-sensitivity cardiac troponin T level 5-52 ng/L) were prospectively enrolled (consecutive sampling, time of recruitment: 09/18-06/19). Fast-strain-encoded imaging was performed within the 1-h timeframe (0 h/1 h algorithm) prior to 2nd high-sensitivity troponin T lab results. Images were acquired at rest as well as after 1-min of hyperventilation followed by a short breath-hold. In 108 patients (59 male; mean age: 57 ± 17y) the mean study time was 17 ± 3 min. An abnormal strain response after the breathing maneuver (persistent/increased/new onset of increased strain rates) correctly identified all 17 patients with a high-sensitivity troponin T dynamic (0 h/1 h algorithm) and explanatory significant coronary lesions, while in 86 patients without serologic or angiographic evidence for severe coronary artery disease the strain response was normal (sensitivity 100%, specificity 94.5%; 5 false positive results). The number of dysfunctional segments (strain > - 10%) proved to be a quantifiable marker for identifying patients with acute coronary syndrome. In patients with suspected acute coronary syndrome and inconclusive initial high-sensitivity troponin T, fast-strain-encoded imaging with a breathing maneuver may safely and rapidly identify patients with acute coronary syndrome, without the need for vasodilators, stress, or contrast agents.
Collapse
|
5
|
Rajiah PS, Kalisz K, Broncano J, Goerne H, Collins JD, François CJ, Ibrahim ES, Agarwal PP. Myocardial Strain Evaluation with Cardiovascular MRI: Physics, Principles, and Clinical Applications. Radiographics 2022; 42:968-990. [PMID: 35622493 DOI: 10.1148/rg.210174] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Myocardial strain is a measure of myocardial deformation, which is a more sensitive imaging biomarker of myocardial disease than the commonly used ventricular ejection fraction. Although myocardial strain is commonly evaluated by using speckle-tracking echocardiography, cardiovascular MRI (CMR) is increasingly performed for this purpose. The most common CMR technique is feature tracking (FT), which involves postprocessing of routinely acquired cine MR images. Other CMR strain techniques require dedicated sequences, including myocardial tagging, strain-encoded imaging, displacement encoding with stimulated echoes, and tissue phase mapping. The complex systolic motion of the heart can be resolved into longitudinal strain, circumferential strain, radial strain, and torsion. Myocardial strain metrics include strain, strain rate, displacement, velocity, torsion, and torsion rate. Wide variability exists in the reference ranges for strain dependent on the imaging technique, analysis software, operator, patient demographics, and hemodynamic factors. In anticancer therapy cardiotoxicity, CMR myocardial strain can help identify left ventricular dysfunction before the decline of ejection fraction. CMR myocardial strain is also valuable for identifying patients with left ventricle dyssynchrony who will benefit from cardiac resynchronization therapy. CMR myocardial strain is also useful in ischemic heart disease, cardiomyopathies, pulmonary hypertension, and congenital heart disease. The authors review the physics, principles, and clinical applications of CMR strain techniques. Online supplemental material is available for this article. ©RSNA, 2022.
Collapse
Affiliation(s)
- Prabhakar Shantha Rajiah
- From the Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 559905 (P.S.R., J.D.C., C.J.F.); Department of Radiology, Duke University Medical Center, Durham, NC (K.K.); Department of Radiology, Hospital San Juan de Dios, Hospital de la Cruz Roja, HT-RESALTA, HT Médica, Córdoba, Spain (J.B.); Department of Radiology, Division of Cardiac Imaging, Imaging and Diagnostic Center CID, Guadalajara, Mexico (H.G.); Department of Radiology, Medical College of Wisconsin, Milwaukee, Wis (E.S.I.); and Department of Radiology, University of Michigan, Ann Arbor, Mich (P.P.A.)
| | - Kevin Kalisz
- From the Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 559905 (P.S.R., J.D.C., C.J.F.); Department of Radiology, Duke University Medical Center, Durham, NC (K.K.); Department of Radiology, Hospital San Juan de Dios, Hospital de la Cruz Roja, HT-RESALTA, HT Médica, Córdoba, Spain (J.B.); Department of Radiology, Division of Cardiac Imaging, Imaging and Diagnostic Center CID, Guadalajara, Mexico (H.G.); Department of Radiology, Medical College of Wisconsin, Milwaukee, Wis (E.S.I.); and Department of Radiology, University of Michigan, Ann Arbor, Mich (P.P.A.)
| | - Jordi Broncano
- From the Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 559905 (P.S.R., J.D.C., C.J.F.); Department of Radiology, Duke University Medical Center, Durham, NC (K.K.); Department of Radiology, Hospital San Juan de Dios, Hospital de la Cruz Roja, HT-RESALTA, HT Médica, Córdoba, Spain (J.B.); Department of Radiology, Division of Cardiac Imaging, Imaging and Diagnostic Center CID, Guadalajara, Mexico (H.G.); Department of Radiology, Medical College of Wisconsin, Milwaukee, Wis (E.S.I.); and Department of Radiology, University of Michigan, Ann Arbor, Mich (P.P.A.)
| | - Harold Goerne
- From the Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 559905 (P.S.R., J.D.C., C.J.F.); Department of Radiology, Duke University Medical Center, Durham, NC (K.K.); Department of Radiology, Hospital San Juan de Dios, Hospital de la Cruz Roja, HT-RESALTA, HT Médica, Córdoba, Spain (J.B.); Department of Radiology, Division of Cardiac Imaging, Imaging and Diagnostic Center CID, Guadalajara, Mexico (H.G.); Department of Radiology, Medical College of Wisconsin, Milwaukee, Wis (E.S.I.); and Department of Radiology, University of Michigan, Ann Arbor, Mich (P.P.A.)
| | - Jeremy D Collins
- From the Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 559905 (P.S.R., J.D.C., C.J.F.); Department of Radiology, Duke University Medical Center, Durham, NC (K.K.); Department of Radiology, Hospital San Juan de Dios, Hospital de la Cruz Roja, HT-RESALTA, HT Médica, Córdoba, Spain (J.B.); Department of Radiology, Division of Cardiac Imaging, Imaging and Diagnostic Center CID, Guadalajara, Mexico (H.G.); Department of Radiology, Medical College of Wisconsin, Milwaukee, Wis (E.S.I.); and Department of Radiology, University of Michigan, Ann Arbor, Mich (P.P.A.)
| | - Christopher J François
- From the Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 559905 (P.S.R., J.D.C., C.J.F.); Department of Radiology, Duke University Medical Center, Durham, NC (K.K.); Department of Radiology, Hospital San Juan de Dios, Hospital de la Cruz Roja, HT-RESALTA, HT Médica, Córdoba, Spain (J.B.); Department of Radiology, Division of Cardiac Imaging, Imaging and Diagnostic Center CID, Guadalajara, Mexico (H.G.); Department of Radiology, Medical College of Wisconsin, Milwaukee, Wis (E.S.I.); and Department of Radiology, University of Michigan, Ann Arbor, Mich (P.P.A.)
| | - El-Sayed Ibrahim
- From the Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 559905 (P.S.R., J.D.C., C.J.F.); Department of Radiology, Duke University Medical Center, Durham, NC (K.K.); Department of Radiology, Hospital San Juan de Dios, Hospital de la Cruz Roja, HT-RESALTA, HT Médica, Córdoba, Spain (J.B.); Department of Radiology, Division of Cardiac Imaging, Imaging and Diagnostic Center CID, Guadalajara, Mexico (H.G.); Department of Radiology, Medical College of Wisconsin, Milwaukee, Wis (E.S.I.); and Department of Radiology, University of Michigan, Ann Arbor, Mich (P.P.A.)
| | - Prachi P Agarwal
- From the Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 559905 (P.S.R., J.D.C., C.J.F.); Department of Radiology, Duke University Medical Center, Durham, NC (K.K.); Department of Radiology, Hospital San Juan de Dios, Hospital de la Cruz Roja, HT-RESALTA, HT Médica, Córdoba, Spain (J.B.); Department of Radiology, Division of Cardiac Imaging, Imaging and Diagnostic Center CID, Guadalajara, Mexico (H.G.); Department of Radiology, Medical College of Wisconsin, Milwaukee, Wis (E.S.I.); and Department of Radiology, University of Michigan, Ann Arbor, Mich (P.P.A.)
| |
Collapse
|
6
|
Spicher B, Fischer K, Zimmerli ZA, Yamaji K, Ueki Y, Bertschinger CN, Jung B, Otsuka T, Bigler MR, Gräni C, von Tengg-Kobligk H, Räber L, Eberle B, Guensch DP. Combined Analysis of Myocardial Deformation and Oxygenation Detects Inducible Ischemia Unmasked by Breathing Maneuvers in Chronic Coronary Syndrome. Front Cardiovasc Med 2022; 9:800720. [PMID: 35282374 PMCID: PMC8907543 DOI: 10.3389/fcvm.2022.800720] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Accepted: 01/31/2022] [Indexed: 12/20/2022] Open
Abstract
Introduction In patients with chronic coronary syndromes, hyperventilation followed by apnea has been shown to unmask myocardium susceptible to inducible deoxygenation. The aim of this study was to assess whether such a provoked response is co-localized with myocardial dysfunction. Methods A group of twenty-six CAD patients with a defined stenosis (quantitative coronary angiography > 50%) underwent a cardiovascular magnetic resonance (CMR) exam prior to revascularization. Healthy volunteers older than 50 years served as controls (n = 12). Participants hyperventilated for 60s followed by brief apnea. Oxygenation-sensitive images were analyzed for changes in myocardial oxygenation and strain. Results In healthy subjects, hyperventilation resulted in global myocardial deoxygenation (-10.2 ± 8.2%, p < 0.001) and augmented peak circumferential systolic strain (-3.3 ± 1.6%, p < 0.001). At the end of apnea, myocardial signal intensity had increased (+9.1 ± 5.3%, p < 0.001) and strain had normalized to baseline. CAD patients had a similar global oxygenation response to hyperventilation (−5.8 ± 9.6%, p = 0.085) but showed no change in peak strain from their resting state (-1.3 ± 1.6%), which was significantly attenuated in comparison the strain response observed in controls (p = 0.008). With apnea, the CAD patients showed an attenuated global oxygenation response to apnea compared to controls (+2.7 ± 6.2%, p < 0.001). This was accompanied by a significant depression of peak strain (3.0 ± 1.7%, p < 0.001), which also differed from the control response (p = 0.025). Regional analysis demonstrated that post-stenotic myocardium was most susceptible to de-oxygenation and systolic strain abnormalities during respiratory maneuvers. CMR measures at rest were unable to discriminate post-stenotic territory (p > 0.05), yet this was significant for both myocardial oxygenation [area under the curve (AUC): 0.88, p > 0.001] and peak strain (AUC: 0.73, p = 0.023) measured with apnea. A combined analysis of myocardial oxygenation and peak strain resulted in an incrementally higher AUC of 0.91, p < 0.001 than strain alone. Conclusion In myocardium of patients with chronic coronary syndromes and primarily intermediate coronary stenoses, cine oxygenation-sensitive CMR can identify an impaired vascular and functional response to a vasoactive breathing maneuver stimulus indicative of inducible ischemia.
Collapse
Affiliation(s)
- Barbara Spicher
- Department of Anaesthesiology and Pain Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Kady Fischer
- Department of Anaesthesiology and Pain Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Zoe A. Zimmerli
- Department of Anaesthesiology and Pain Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Kyohei Yamaji
- Department of Cardiology, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Yasushi Ueki
- Department of Cardiology, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Carina N. Bertschinger
- Department of Diagnostic, Interventional and Paediatric Radiology, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Bernd Jung
- Department of Diagnostic, Interventional and Paediatric Radiology, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Tatsuhiko Otsuka
- Department of Cardiology, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Marius R. Bigler
- Department of Cardiology, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Christoph Gräni
- Department of Cardiology, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Hendrik von Tengg-Kobligk
- Department of Diagnostic, Interventional and Paediatric Radiology, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Lorenz Räber
- Department of Cardiology, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Balthasar Eberle
- Department of Anaesthesiology and Pain Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Dominik P. Guensch
- Department of Anaesthesiology and Pain Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
- Department of Diagnostic, Interventional and Paediatric Radiology, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
- *Correspondence: Dominik P. Guensch
| |
Collapse
|