|Quantitative characterization of myocardial infarction by cardiovascular magnetic resonance predicts future cardiovascular events in patients with ischemic cardiomyopathy.|
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|PMID: 18400089 Owner: NLM Status: MEDLINE|
|BACKGROUND: Cardiovascular magnetic resonance (CMR) can provide quantitative data of the myocardial tissue utilizing high spatial and temporal resolution along with exquisite tissue contrast. Previous studies have correlated myocardial scar tissue with the occurrence of ventricular arrhythmia. This study was conducted to evaluate whether characterization of myocardial infarction by CMR can predict cardiovascular events in patients with ischemic cardiomyopathy (ICM).
RESULTS: We consecutively studied 86 patients with ICM (LVEF < 50%, mean LVEF: 26 +/- 12%) with CMR before revascularization or medication therapy +/- implantable cardiac defibrillator, determined the amount of myocardial scar, and followed for development of cardiovascular events. Thirty-three patients (38%) had cardiovascular events (mean follow-up: 20 +/- 16 months). Patients who developed cardiovascular events had larger scar volume and scar percentage of the myocardium than those who did not develop cardiovascular events (16.8 +/- 12.4 cm3 vs. 11.7 +/- 12.6 cm3, p = 0.023 and 10.2 +/- 6.9% vs. 7.2 +/- 6.7%, p = 0.037, respectively). There were no significant differences in LVEDV, LVESV and LVEF between the patients with and without cardiovascular events (231 +/- 76 ml vs. 230 +/- 88 ml; 180 +/- 73 ml vs. 175 +/- 90 ml; and 25 +/- 10% vs. 27 +/- 13%, respectively).
CONCLUSION: Quantification of the scar volume and scar percentage by CMR is superior to LVEDV, LVESV, and LVEF in prognosticating the future likelihood of the development of cardiovascular events in patients with ICM.
|Hajime Yokota; Shahriar Heidary; Chandra K Katikireddy; Patricia Nguyen; John M Pauly; Michael V McConnell; Phillip C Yang|
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|Type: Journal Article Date: 2008-04-09|
|Title: Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Volume: 10 ISSN: 1532-429X ISO Abbreviation: J Cardiovasc Magn Reson Publication Date: 2008|
|Created Date: 2008-04-18 Completed Date: 2008-05-22 Revised Date: 2013-06-05|
Medline Journal Info:
|Nlm Unique ID: 9815616 Medline TA: J Cardiovasc Magn Reson Country: United States|
|Languages: eng Pagination: 17 Citation Subset: IM|
|Division of cardiovascular medicine, department of medicine, Stanford university, Stanford, CA, USA. firstname.lastname@example.org|
|APA/MLA Format Download EndNote Download BibTex|
Angioplasty, Balloon, Coronary
Cardiomyopathies / complications, etiology*, pathology, physiopathology, therapy
Cardiovascular Diseases / etiology*, pathology, physiopathology, therapy
Coronary Artery Bypass
Coronary Artery Disease / complications*, pathology, physiopathology, therapy
Magnetic Resonance Imaging*
Myocardial Infarction / complications, etiology, pathology*, physiopathology, therapy
Myocardium / pathology*
Predictive Value of Tests
Reproducibility of Results
Ventricular Function, Left
Journal ID (nlm-ta): J Cardiovasc Magn Reson
Publisher: BioMed Central
Copyright © 2008 Yokota et al; licensee BioMed Central Ltd.
open-access: This is an Open Access article distributed under the terms of the Creative Commons Attribution License (), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Received Day: 18 Month: 2 Year: 2008
Accepted Day: 9 Month: 4 Year: 2008
collection publication date: Year: 2008
Electronic publication date: Day: 9 Month: 4 Year: 2008
Volume: 10 Issue: 1
First Page: 17 Last Page: 17
Publisher Id: 1532-429X-10-17
PubMed Id: 18400089
|Quantitative characterization of myocardial infarction by cardiovascular magnetic resonance predicts future cardiovascular events in patients with ischemic cardiomyopathy|
|Hajime Yokota1||Email: email@example.com|
|Shahriar Heidary1||Email: firstname.lastname@example.org|
|Chandra K Katikireddy1||Email: email@example.com|
|Patricia Nguyen1||Email: firstname.lastname@example.org|
|John M Pauly2||Email: email@example.com|
|Michael V McConnell1||Email: firstname.lastname@example.org|
|Phillip C Yang1||Email: email@example.com|
1Division of cardiovascular medicine, department of medicine, Stanford university, Stanford, CA, USA
2Department of electrical engineering, Stanford university, Stanford, CA, USA
Congestive heart failure (CHF) has become a widespread public health concern, affecting approximately 5 million patients in the United States. Over 550,000 new cases and 300,000 deaths are reported annually . The most common cause of CHF is coronary artery disease. Of these, the highest mortality rate is seen in patients with ischemic cardiomyopathy (ICM) . The high morbidity and mortality in CHF have been associated with a high incidence of ventricular arrhythmia and left ventricular (LV) remodelling [3,4]. Post infarction LV remodelling provides a substrate to trigger high-grade ventricular arrhythmia . Specifically, areas of peri-infarct ischemia have been shown to be arrhythmogenic. It has been well known that revascularization of these ischemic territories results in a lower incidence of ventricular arrhythmia in patients with ICM [6-9]. Similarly, scar tissue has been associated with ventricular arrhythmia [10-12]. Previous studies have reported that myocardial scar as assessed by cardiovascular magnetic resonance (CMR), is more accurate than traditional measurements including left ventricular ejection fraction (LVEF) in identifying patients who develop ventricular arrhythmia [13-17]. However, these studies were not conducted in patients with significantly compromised LV function, who are most predisposed to developing cardiovascular events, including ventricular arrhythmia, pathological remodelling and worsening CHF. Furthermore, prognostic relationship between transmurality of the scar and occurrence of cardiovascular events in patients with ICM was not investigated. In order to address these issues, we systematically analyzed multiple imaging parameters generated from CMR to determine whether the characterization and quantitation of myocardial infarction (MI) by CMR can predict cardiovascular events in patients with ICM.
Eighty-six patients (73 men, 13 women; mean age 57 ± 12 years) with coronary artery disease and LV dysfunction (LVEF < 50%, mean LVEF was 26 ± 12%) scheduled to undergo either revascularization or medical therapy ± implantable cardiac defibrillator (ICD) placement were recruited consecutively for CMR. All patients underwent diagnostic coronary angiography before CMR examination. After CMR examination and assessment of total myocardial scar volume, all the patients were followed for the presence of cardiovascular events, as described below. 35 patients underwent revascularization (26 patients coronary artery bypass surgery (CABG) and 9 percutaneous coronary intervention (PCI) patients) ± ICD placement and 51 patients received medical therapy ± ICD placement. All patients had previous MI. But patients with acute infarction (within seven days), unstable angina pectoris, asthma, pulmonary disease, severe valvular disease, or contraindications to the CMR examination were excluded. The study protocol was approved by the human subjects committee at Stanford university.
All images were acquired on a 1.5-Tesla whole-body scanner (Signa, GE Healthcare, Milwaukee, WI) with the patient in a supine position using an 8-element phased-array radiofrequency coil with breath-holding and cardiac gating. Cine images of the LV in short and long axes were acquired using a steady-state free precession sequence (SSFP, TR 3.8, TE 1.6, FA 45°, slice thickness 10 mm, slice gap 0). Late gadolinium enhancement (LGE) images (segmented k-space inversion recovery sequence, TR 7.1, TE 3.1, TI 200–250, slice thickness 10 mm, slice gap 0) were acquired throughout the entire LV starting at 20 min, following administration of 0.2 mmol/kg of gadolinium diethytriaminepentaacetic acid (Gd-DTPA, Magnevist®, Schering AG, Germany). The inversion time set to null the signal of normal myocardium after Gd-DTPA administration was adjusted during the course of the scan as necessary.
Images were analyzed using MASS analysis software (MASS Analysis Plus Version 5.1, Leiden University). Automatic tracing with manual adjustment of endocardial and epicardial borders from short-axis images was performed to calculate left ventricular end-diastolic volume (LVEDV), left ventricular end-systolic volume (LVESV), and LVEF.
The short-axis LGE images were evaluated for the presence of scar and traced manually to measure total scar volume. An infarct region was defined as an area of hyperenhancement, with a higher signal intensity (≥ 2 SD) compare to remote region in the same slice . Myocardial and scar volume were calculated (myocardial or scar area × slice thickness of 10 mm). The scar percentage of myocardial volume was also expressed as percentage of the total myocardial volume (scar volume/myocardial volume × 100) as shown in figure 1. We analyzed contrast-enhanced images using the 72-segment model in which the left ventricle was divided into 12 circumferential segments in six short-axis views . In patients with microvascular obstruction, these hypointense areas were included as scar area. Isolated midwall or subepicardial hyperenhancement was excluded because this was not considered as scar area [19,20]. The transmural extent of hyperenhancement was graded as a percentage of scar tissue in each segment: 0%, 1 to 25%, 26 to 50%, and 51 to 75% (non-transmural); and 76 to 100% (transmural).
Clinical characteristics of the study population are summarized in table 1. Thirty-five patients were revascularized (26 CABG, 9 PCI patients). Clinical follow-up over a period of 20 ± 16 months (minimum period was 1 month, maximum period was 56 months) was obtained in all patients. Twenty-four of the 86 patients (28%) had 2 vessel disease (left main, or two vessel with proximal left anterior descending artery), and 49 patients (57%) had 3 vessel disease. During the follow-up period, 33 patients (38%) had cardiovascular events (mean follow-up period was 20 ± 16 months). Fifteen patients of the 33 patients had CHF, 9 patients had ventricular arrhythmia, 2 patients had syncope, 2 patients had MI, 5 patients needed revascularization and 6 patients died due to cardiovascular cause during the follow-up period. There were any deaths or events were related to revascularization procedures.
CMR parameters among the patients ± cardiovascular events are summarized in table 2. Both mean scar volume and scar percentage of the myocardium were larger in patients with cardiovascular events than those without cardiovascular events (16.8 ± 12.4 cm3 vs. 11.7 ± 12.6 cm3, p = 0.023 and 10.2 ± 6.9% vs. 7.2 ± 6.7%, p = 0.037, respectively). There were no significant differences in LVEDV, LVESV and LVEF between the patients with and without cardiovascular events (234 ± 76 ml vs. 230 ± 88 ml, 180 ± 73 ml vs. 175 ± 90 ml, 25 ± 10% vs. 27 ± 13%, respectively).
The transmurality of the scar was also analyzed by dividing into non-transmural vs. transmural extent of MI (1–75% vs. 76–100%, respectively) among the patients as shown in table 3. Patients with cardiovascular events had larger number of non-transmural segments than patients without cardiovascular events (18.4 ± 14.0% vs. 13.8 ± 11.2%, p = 0.049). Specifically, higher incidences of cardiovascular events were seen in the 26–50% non-transmural segments (9.2 ± 10.6% vs. 3.2 ± 3.6%, p = 0.03). In subanalysis, there were no significant difference in the number of both non-transmural segments and transmural segment in patients with and without ventricular arrhythmia (p = 0.71, p = 0.64, respectively). In addition, there were no significant difference in the number of both non-transmural segment and transmural segment in patients with and without worsening CHF (p = 0.94, p = 0.06, respectively).
The correlation of LVEF, LVEDV and LVESV with scar volume and scar percentage of the myocardium is shown in figure 2, 3, 4 (figure 2: LVEF, figure 3: LVEDV, figure 4: LVESV). These measurements did not correlate with scar volume with r values of 0.16, 0.08 and 0.10, respectively and did not correlate with scar percentage of the myocardium with r values of 0.08, 0.01 and 0.02, respectively.
When the patients were analyzed between the revascularization (CABG or PCI ± ICD placement) and the no revascularization groups (medical therapy ± ICD placement), there were more patients with 3 vessel disease and with ICD placement who underwent revascularization (p = 0.02, for each) as shown in table 1. However, there was no significant difference in both scar volume and percentage of the myocardium between the 2 groups (p = 0.60 and 0.37, respectively). Finally, there was no significant difference in the incidence of cardiovascular events between these two groups (p = 0.24).
Analyses of clinical characteristics of all patients with and without cardiovascular events are summarized in table 4. There was no significant difference in clinical parameters between these two groups.
Patients surviving MI and developing chronic ICM are at risk for developing cardiovascular events. However, not all patients with chronic ICM have similar risk profiles. Traditional clinical indicators (LVEF, NYHA functional class, and coronary anatomy) and electrocardiographic markers (QRS duration, T-wave alternans, and signal average ECG) have been used to identify patients at risk for developing ventricular arrhythmia and sudden death [21,22]. However, these markers have low predictive value. They are descriptors of myocardial and electrical dysfunctions rather than specific physiologic markers to identify patients at risk for developing cardiovascular events. This is the first study to confirm that the quantitation of the scar volume and percentage by CMR can predict the development of cardiovascular events in patients with ICM. The traditional risk factors including LVEF, LVEDV, and LVESV did not differentiate the patients who did and did not develop cardiovascular events. Furthermore, these parameters did not correlate with the quantitative characterizations of myocardial infarction by CMR.
Based on our study, a more detailed analysis of the injured myocardium using CMR may predict the future occurrence of cardiovascular events in patients with ICM. We have performed an extensive analysis of image-based data using CMR to identify specific tissue characteristics of the infarcted myocardium that may serve as a longitudinal prognostic marker for developing cardiovascular events in patients with ICM. In addition to the scar volume and percentage, patients with non-transmural segments had developed more cardiovascular events than patients with transmural segments. Recent studies indicate that injured but viable myocytes in the peri-infarct territory consistent with non-transmural infarction may lead to cardiovascular events [23,24]. The presence of residual viable myocardium, as a path of conduction and/or site of peri-infarct ischemia, may be a necessary cofactor in the pathogenesis of cardiovascular events, a conclusion that has been reported in previous studies [23,24]. Ejection fraction is good predictor of cardiovascular events, but it could not reveal all of LV remodeling. Therefore, a more precise predictor may be possible when both infarct size and presence of peri-infarct injury can be considered through a more quantitative evaluation of the non-transmural extent of MI.
Quantitative characterization of the scar volume and percentage by CMR is superior to LVEDV, LVESV, and LVEF in prognosticating the future likelihood of the development of cardiovascular events in patients with ICM. This patient population could benefit from this study in which the scar volume and percentage measured by CMR has been validated as a quantitative prognostic marker.
CHF: congestive heart failure, ICM: ischemic cardiomyopathy, LV: left ventricular, CMR: cardiac magnetic resonance, LVEF: left ventricular ejection fraction, MI: myocardial infarction, ICD: implantable cardiac defibrillator, CABG: coronary artery bypass graft surgery, PCI: percutaneous coronary intervention, SSFP: steady-state free precession sequence, LGE: late gadolinium enhancement, Gd-DTPA: gadolinium diethytriaminepentaacetic acid, LVEDV: left ventricular end diastolic volume, LVESV: left ventricular end systolic volume, NYHA: New York Heart Association.
The author(s) declare that they have no competing interests.
HY, CKK, and PN contributed to the data collection, data analysis, and manuscript preparation. JMP contributed to the MRI sequence, data analysis, and manuscript review. MVMcC and PCY contributed to the study design, data interpretation, and manuscript review. All authors approved the final version of the manuscript submitted. Finally, JMP, MVMcC, and PCY receive research support from GE Healthcare, Inc. All research support is acknowledged on the title page of the manuscript.
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Clinical profile of patients
|All (n = 86)||Revascularization (n = 35)||No Revascularization (n = 51)||p-value|
|Age, years||57 ± 12||58 ± 11||57 ± 14||0.32|
|Gender, male||73 (85%)||32 (91%)||41 (80%)||0.16|
|History of hypertension||54 (63%)||26 (74%)||28 (55%)||0.07|
|History of HL||59 (69%)||25 (71%)||34 (67%)||0.64|
|History of diabetes||24 (28%)||11 (31%)||13 (25%)||0.55|
|History of smoking||26 (30%)||12 (34%)||14 (27%)||0.50|
|Beta Blocker Use||62 (78%)||27 (90%)||35 (71%)||0.06|
|Ace-I or ARB Use||45 (57%)||17 (57%)||28 (57%)||0.36|
|Coronary anatomy, n (%)|
|1 vessel disease||13 (15%)||3 (9%)||10 (20%)||0.16|
|2 vessels disease†||24 (28%)||7 (21%)||17 (33%)||0.17|
|3 vessels disease||49 (57%)||25 (71%)||24 (47%)||0.02|
|ICD placement (%)||31 (36%)||8 (23%)||24 (47%)||0.02|
|Scar volume (cm3)||13.7 ± 12.7||14.5 ± 12.0||13.1 ± 13.3||0.60|
|Scar % of myocardium (%)||8.3 ± 6.9||9.2 ± 7.6||7.8 ± 6.3||0.37|
|LVEF (%)||26 ± 12||29 ± 13||24 ± 11||0.10|
|LVEDV (ml%)||231 ± 83||230 ± 97||232 ± 73||0.88|
|LVESV (ml%)||177 ± 83||173 ± 96||180 ± 74||0.69|
|LVED mass/volume (g/ml)||0.79 ± 0.30||0.83 ± 0.28||0.77 ± 0.31||0.22|
|Ant, sep infarct lesion||55 (64%)||23 (66%)||32 (63%)||0.78|
|Lat infarct lesion||40 (47%)||16 (46%)||24 (47%)||0.53|
|Inf infarct lesion||63 (73%)||25 (71%)||38 (75%)||0.75|
|Cardiovascular events||33 (38%)||16 (46%)||17 (33%)||0.24|
Values are expressed as a mean ± SD. HL = hypercholesterolemia;
Ace-I = Angiotensin Converting Enzyme – Inhibitor, ARB = Angiotensin Receptor Blocker ICD = implantable cardiac defibrillator; LVEF = left ventricular ejection fraction;
LVEDV = left ventricular end diastolic volume; LVESV = left ventricular end systolic volume;
† 2 vessel disease include P-LAD or LMT.
Predictors of cardiovascular events
|Cardiovascular events (+)||Cardiovascular events (-)||p – value|
|Scar volume (cm3)||16.8 ± 12.4||11.7 ± 12.6||0.023|
|Scar % of the myocardium (%)||10.2 ± 6.9||7.2 ± 6.7||0.037|
|LVEF (%)||25 ± 10||27 ± 13||0.26|
|LVEDV (ml)||234 ± 76||230 ± 88||0.41|
|LVESV (ml)||180 ± 73||175 ± 90||0.40|
|LVED mass/volume (g/ml)||0.73 ± 0.25||0.84 ± 0.32||0.06|
Values are expressed as a mean ± SD. LVEF = left ventricular ejection fraction; LVEDV = left ventricular end diastolic volume; LVESV = left ventricular end systolic volume.
The proportion of non-transmural vs. transmural segments of myocardial infarction
|Cardiovascular events (+)||Cardiovascular events (-)||p – value|
|Non-transmural MI (1–75% scar of myocardium)||18.4 ± 14.0||13.8 ± 11.2||0.049|
|1 – 25% scar of myocardium||9.2 ± 11.0||6.7 ± 9.3||0.12|
|26 – 50% scar of myocardium||9.2 ± 10.6||3.2 ± 3.6||0.03|
|51 – 75% scar of myocardium||3.5 ± 4.2||4.0 ± 4.5||0.30|
|Transmural MI (76–100% scar of myocardium)||5.8 ± 10.2||7.2 ± 11.4||0.28|
Values are expressed as a mean ± SD.
Predictors of cardiovascular events
|Cardiovascular events (+) (n = 33)||Cardiovascular events (-) (n = 53)||p-value|
|Age, years||56 ± 13||58 ± 12||0.18|
|Gender, male||28 (85%)||45 (85%)||0.99|
|History of hypertension||22 (67%)||32 (60%)||0.56|
|History of hyperlipidemia||22 (67%)||37 (70%)||0.76|
|History of diabetes||11 (33%)||13 (25%)||0.38|
|Beta Blocker Use||25 (81%)||37 (77%)||0.10|
|Ace-I or ARB Use||18 (58%)||27 (56%)||0.25|
|History of smoking||13 (39%)||13 (25%)||0.14|
|Coronary anatomy, n (%)|
|1 vessel disease||3 (9%)||10 (19%)||0.22|
|2 vessels disease||10 (30%)||14 (26%)||0.70|
|3 vessels disease||20 (61%)||29 (55%)||0.59|
Values are expressed as a mean ± SD. Ace-I = Angiotensin Converting Enzyme – Inhibitor, ARB = Angiotensin Receptor Blocker
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