Literature DB >> 28199043

Diagnostic performance of T1 and T2 mapping to detect intramyocardial hemorrhage in reperfused ST-segment elevation myocardial infarction (STEMI) patients.

Heerajnarain Bulluck1,2,3, Stefania Rosmini2, Amna Abdel-Gadir2, Anish N Bhuva2, Thomas A Treibel2, Marianna Fontana2, Esther Gonzalez-Lopez4, Manish Ramlall1,5,2, Ashraf Hamarneh1,5,2, Alex Sirker5,2, Anna S Herrey2, Charlotte Manisty2, Derek M Yellon1,5, James C Moon5,2, Derek J Hausenloy1,5,2,6,3.   

Abstract

PURPOSE: To investigate the performance of T1 and T2 mapping to detect intramyocardial hemorrhage (IMH) in ST-segment elevation myocardial infarction (STEMI) patients treated by primary percutaneous coronary intervention (PPCI).
MATERIALS AND METHODS: Fifty STEMI patients were prospectively recruited between August 2013 and July 2014 following informed consent. Forty-eight patients completed a 1.5T cardiac magnetic resonance imaging (MRI) with native T1 , T2 , and T2* maps at 4 ± 2 days. Receiver operating characteristic (ROC) analyses were performed to assess the performance of T1 and T2 to detect IMH.
RESULTS: The mean age was 59 ± 13 years old and 88% (24/48) were male. In all, 39 patients had interpretable T2* maps and 26/39 (67%) of the patients had IMH ( T2* <20 msec on T2* maps). Both T1 and T2 values of the hypointense core within the area-at-risk (AAR) performed equally well to detect IMH (T1 maps AUC 0.86 [95% confidence interval [CI] 0.72-0.99] versus T2 maps AUC 0.86 [95% CI 0.74-0.99]; P = 0.94). Using the binary assessment of presence or absence of a hypointense core on the maps, the diagnostic performance of T1 and T2 remained equally good (T1 AUC 0.87 [95% CI 0.73-1.00] versus T2 AUC 0.85 [95% CI 0.71-0.99]; P = 0.90) with good sensitivity and specificity (T1 : 88% and 85% and T2 : 85% and 85%, respectively).
CONCLUSION: The presence of a hypointense core on the T1 and T2 maps can detect IMH equally well and with good sensitivity and specificity in reperfused STEMI patients and could be used as an alternative when T2* images are not acquired or are not interpretable. LEVEL OF EVIDENCE: 2 Technical Efficacy: Stage 2 J. MAGN. RESON. IMAGING 2017;46:877-886.
© 2017 The Authors Journal of Magnetic Resonance Imaging published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  zzm321990T2* mapping; ST-segment elevation myocardial infarction; T1 mapping; T2 mapping; intramyocardial hemorrhage; microvascular obstruction

Mesh:

Year:  2017        PMID: 28199043      PMCID: PMC5573941          DOI: 10.1002/jmri.25638

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


Primary percutaneous coronary intervention (PPCI) is the reperfusion strategy of choice in ST‐segment elevation myocardial infarction (STEMI). However, paradoxically, the process of reperfusion itself can lead to microvascular obstruction (MVO) and intramyocardial hemorrhage (IMH).1, 2 Nearly 50% of patients develop MVO,3 and 35–40% have IMH,4, 5 as detected by cardiac magnetic resonance (MR). Both MVO and IMH are associated with larger myocardial infarct (MI) sizes, adverse left ventricular (LV) remodeling and poor clinical outcomes, as recently summarized in two meta‐analyses.3, 4 Cardiac MR within the first week following STEMI using imaging has been shown to detect IMH in animal models of acute MI6, 7 and a threshold value of T* <20 msec has subsequently been used in several clinical studies as the reference for IMH.2, 5, 8, 9 Although imaging is currently the reference standard for the detection of IMH, it is prone to motion, flow and off‐resonance artifacts.10 In a recent study by Carrick et al,5 only 86% of patients had analyzable data. Furthermore they also showed that MVO and IMH are dynamic and follow distinct time courses and had different prognostic significance.5 T 2‐weighted short tau inversion recovery (STIR) imaging, which has been used to delineate the area‐at‐risk (AAR) in reperfused STEMI patients, has also been used to detect IMH as the presence of a hypointense core within the AAR.11, 12, 13 However, STIR imaging has been shown to have a lower diagnostic performance for detecting IMH when compared to imaging.7, 8 Native T 1 and T 2 maps have been explored as alternative methods for quantifying the AAR in reperfused STEMI patients14, 15 and MVO and IMH can also manifest as a hypointense core on the native T 1 9, 16 and T 2 maps.7, 17, 18 However, the diagnostic performance of native T 1 and T 2 maps to detect the presence of IMH and MVO following STEMI has not been directly compared. Therefore, the main aim of this study was to investigate the performance of hypointense core on the native T 1 (referred to as T 1 throughout the article for simplicity) and T 2 maps to detect IMH within the first week in reperfused STEMI patients, using mapping as the reference standard for IMH.2, 5, 6, 7, 8, 9 Secondly, we also aimed to assess the performance of the hypointense core on the T 1 and T 2 maps to detect early and late MVO, using gadolinium enhancement as the reference standard for MVO.12, 19, 20, 21, 22

Materials and Methods

Study Population

The local Ethics Committee approved this study. The patients included in this study have been previously reported.41, 42, 43 In brief, between August 2013 and July 2014, consecutive patients were screened and 50 STEMI patients reperfused by PPCI within 12 hours of onset (diagnosis and treatment as per current guidelines23, 24 were prospectively recruited at one center. The main exclusion criteria were previous MI and standard recognized contraindications to cardiac MR such as estimated glomerular filtration rate <30 mL/min, ferromagnetic implants, and known claustrophobia.

Cardiac MR Acquisition

Cardiac MR was performed on a 1.5T scanner (Magnetom Avanto, Siemens Medical Solutions, Erlangen, Germany) using a 32‐channel phased‐array cardiac coil. The imaging protocol included full left ventricular (LV) short axis coverage of cines, native T 1 mapping, T 2 mapping, three (basal, mid, and apical) LV short axis slices of mapping and full LV short axis coverage of early and late gadolinium enhancement (EGE and LGE). All the short axis images were aligned with the cine short axis slice position. Colored T 1/T/ maps using the default look up table from the scanner were generated.

Native T 1 mapping (Work In Progress 448B, Siemens Healthcare)

Native T 1 maps were acquired with a steady‐state free precession (SSFP)‐based modified Look–Locker inversion recovery (MOLLI) sequence (flip angle = 35°; pixel bandwidth 977 Hz/pixel; matrix = 256 × 144; echo time = 1.1 msec; slice thickness 6 mm; uninterpolated resolution = 1.5 × 1.5 mm) using a 5s(3s)3s sampling protocol.25 Motion correction and a nonlinear least‐square curve fitting of the set of images acquired at different inversion times were performed inline by the scanner to generate a pixel‐wise colored T 1 map.26

T 2 mapping (Work In Progress 448B, Siemens Healthcare)

Colored T 2 maps consisting of pixel‐wise T 2 values were generated inline following motion correction and fitting to estimate T 2 relaxation times27 after acquiring three single‐shot images (flip angle = 70°; pixel bandwidth 930 Hz/pixel; matrix = 116 × 192; echo time = 1.1 msec; repetition time = 3 × R‐R interval; slice thickness = 6 mm; uninterpolated resolution = 2.0 × 2.0 mm) at different T 2 preparation times (0 msec, 24 msec, and 55 msec, respectively).

Mapping (Work In Progress 448B, Siemens Healthcare)

maps were obtained (bandwidth 814(×8) Hz/pixel; echo times × 8: 2.7, 5, 7.3, 9.6, 11.9, 14.2, 16.5, 18.8 msec; flip angle = 18°; matrix = 256 × 115; slice thickness = 8 mm; uninterpolated resolution = 1.6 × 1.6 mm) and a colored pixel‐wise map was generated inline by the scanner.

Early and Late Gadolinium Enhancement

EGE images were acquired 1–2 minutes after the injection of 0.1 mmol/kg of gadoterate meglumine (Gd‐DOTA marketed as Dotarem, Guerbet, Paris, France) using inversion recovery single‐shot SSFP T 1‐weighted sequence at a fixed high inversion time of 440 msec19 (typical imaging parameters: bandwidth 898 Hz/pixel; echo time = 1.1 msec; repetition time = 700–900 msec; flip angle = 50°; acquisition matrix = 110 × 192; slice thickness = 8 mm; uninterpolated resolution = 2.1 × 2.1 mm). LGE images were acquired after 10–15 minutes, using either a standard segmented “fast low‐angle shot” 2D inversion‐recovery gradient echo sequence LGE phase sensitive inversion recovery (PSIR) sequence (in 25/48 patients; typical imaging parameters: bandwidth 140 Hz/pixel; echo time = 3.2 msec; repetition time = 700–900 msec; flip angle = 21°; acquisition matrix = 125 × 256; slice thickness = 8 mm; uninterpolated resolution = 1.6 × 1.6mm) or a respiratory motion‐corrected, free‐breathing single‐shot SSFP averaged PSIR sequence28 (in 23/48 patients; typical imaging parameters: bandwidth 977 Hz/pixel; echo time = 1.48 msec; repetition time = 700–900 msec; flip angle = 50°; acquisition matrix = 144 × 256; slice thickness = 8 mm: uninterpolated resolution = 1.6 × 1.6 mm).

Cardiac MRI Analysis

Imaging analysis was performed using CVI42 software (v. 5.1.2[303], Calgary, Canada). The endocardial and epicardial borders were manually drawn and MI size was quantified in grams and as a percentage of the LV volume (%LV) using a signal intensity threshold of 5 standard deviations (SD)29 above the remote myocardium. Areas of hypointense core of MVO were manually included as part of the MI zone. Although the T 1 and T 2 maps were performed with breath‐hold and motion‐correction, the raw images were visually assessed for any misalignment due to significant motion between single‐shot raw images, mistriggering, partial volume effects, and artifacts as previously described by von Knobelsdorff‐Brenkenhoff et al.30 The maps and their raw images were visually assessed for breathing, motion, and off‐resonance artifacts. The endocardial and epicardial borders were manually drawn on the T 2 maps and the AAR was obtained using a threshold of 2SD31, 32 above the remote myocardial T 2 relaxation time and expressed as %LV. Areas of hypointense core within the areas of hyperenhancement were manually included as part of the MI zone. On the T 1 and T 2 maps matching the maps, the 2SD threshold was also used to identify the hypointense core (hypointense area within the hyperenhanced area with a subendocardial margin) on both maps to identify the AAR and the hypointense core (Fig. 1). So far, no studies have validated a cutoff threshold to detect IMH and MVO from these maps and we chose to use the same threshold used to quantify the AAR to delineate the hypointense core as a semiautomated method to minimize bias (Fig. 1). These areas were included as part of the MI zone and AAR. Regions of interest (ROIs) were manually drawn in the hypointense core (expressed as T 1Core and T 2Core), the salvaged myocardium within the AAR (expressed as T 1Salvage and T 2Salvage), and the remote myocardium (expressed as T 1Remote and T 2Remote) on both maps. In cases when no hypointense core was identified, the ROI was drawn in the area of infarct. The T 1 and T 2 maps were also graded in a binary fashion to detect the presence or absence of a hypointense core (with the help of the semiautomated method as above).
Figure 1

Semiautomated method used to identify the hypointense core on the T 1 and T 2 maps.

Semiautomated method used to identify the hypointense core on the T 1 and T 2 maps. Ten randomly selected patients were separately analyzed by two investigators, 2 months apart for intraobserver and interobserver variability. Corresponding ROIs were drawn in the hypointense core of the maps and the remote myocardium (colocalized with the ROIs on the T 1 and T 2 maps) and representative values were recorded.

Cardiac MR Definitions

IMH was defined as a hypointense core on the maps with a <20 msec as previously validated6 and subsequently used in several clinical STEMI studies.2, 5, 8, 9 Early MVO was defined as areas of dark core within the infarcted territory visually detected (red arrow on the EGE image in Fig. 2) on the EGE images as previously described.12, 19, 20
Figure 2

Example of a patient with an acute inferior MI depicting the evidence of MVO on EGE and LGE scans with corresponding hypointense cores (red and black arrows) on the basal LV short axis , T 1, and T 2 maps.

Example of a patient with an acute inferior MI depicting the evidence of MVO on EGE and LGE scans with corresponding hypointense cores (red and black arrows) on the basal LV short axis , T 1, and T 2 maps. Late MVO was defined as areas of dark core within the areas of LGE (red arrow on the LGE image in Fig. 2) acquired 10–15 minutes postcontrast on the LGE images as previously described.12, 21, 22 The above definitions were used for the reference standard by cardiac MR for IMH, early MVO, and late MVO.

Statistical Analysis

Statistical analysis was performed using SPSS v. 22 (IBM, Armonk, NY) and MedCalc for Windows v. 15.6.1 (Medcalc Software, Ostend, Belgium). Continuous data were expressed as mean ± SD or median (interquartile range) and compared using paired or unpaired tests where appropriate. Categorical data were reported as frequencies and percentages. Patients with no interpretable maps were excluded from the analysis. Receiver operating characteristic (ROC) analyses were used to assess the diagnostic performance for T 1 and T 2 maps for detecting IMH on the acute scans and were compared using the method described by Delong et al.33 Interobserver and intraobserver variability for T 1 and T 2 values of the hypointense core were assessed in 10 patients and expressed as an intraclass correlation coefficient (ICC) (95% confidence interval [CI]). Cohen's kappa was used to assess interobserver and intraobserver agreement for the binary assessment of the maps. All statistical tests were two‐tailed, and P < 0.05 was considered statistically significant.

Results

Figure 3 provides the details of the patients' screening and recruitment into the study. Forty‐eight patients with a mean age of 59 ± 13 years and 88% (42/48) male gender completed the cardiac MR study at 4 ± 2 days post‐PPCI. Patients' clinical characteristics are listed in Table 1. The median onset‐to‐balloon time was 182 (128–328) minutes. The mean MI size was 27.4 ± 14.6% of the LV and the AAR was 42.7 ± 11.9% of the LV. Early MVO was present in 79% (38/48) of patients and late in 63% (30/48) of patients.
Figure 3

Details of the screening and recruitment of patients entering this study.

Table 1

Clinical Characteristics of STEMI Patients

DetailsNumber
Number of patients48
Male40 (83%)
Age58 ± 13
Diabetes mellitus9 (19%)
Hypertension15 (31%)
Smoking15 (31%)
Dyslipidemia15 (31%)
Chest pain onset to PPCI time (min)182 (128‐328)
Infarct artery (%)
LAD28 (58%)
RCA18 (38%)
Cx2 (4%)
Pre‐PPCI TIMI flow (%)
038(80%)
11 (2%)
24 (8%)
35 (10%)
Post‐PPCI TIMI flow (%)
01 (2%)
10 (0%)
210 (21%)
337 (77%)

LAD: left anterior descending artery; RCA: right coronary artery; Cx: circumflex artery; TIMI: thrombolysis in myocardial infarction.

Details of the screening and recruitment of patients entering this study. Clinical Characteristics of STEMI Patients LAD: left anterior descending artery; RCA: right coronary artery; Cx: circumflex artery; TIMI: thrombolysis in myocardial infarction. Ten percent of the T 1 and T 2 maps were not interpretable and were predominantly the basal or apical slices. All patients had a least one short axis T 1 and T 2 map matching the maps. maps were not interpretable in 19% (9/48) of the patients (due to motion flow and off‐resonance artifacts) but their corresponding T 1 and T 2 maps were interpretable. The average scanning time was 59 ± 4 minutes, longer than a clinical cardiac MR scan, as on average an additional 15 minutes was required for T 1 and T 2 mapping acquisition (full LV coverage) and an additional 3 minutes for three short‐axis mapping acquisitions. Figure 2 shows an example of the different imaging modalities acquired. These are mid‐LV short axis images of a patient with an acute inferior STEMI with MVO and the corresponding maps showing IMH (arrows). A hypointense core was present on the T 2 maps in 60% (29/48) of the patients and on the T 1 maps in 63% (30/48) of the patients. Sixty‐seven percent (26/39) of the patients with interpretable maps had IMH.

Mapping for the Detection of IMH (n = 39)

In patients with a hypointense core on the maps, the mean value of the core was 13 ± 3 msec compared to 33 ± 4 msec in the remote myocardium, P < 0.001. IMH occurred in 67%(26/39) of patients. As expected, patients with IMH were more likely to have larger MI size (33.4 ± 11.3% of the LV vs. 17.5 ± 9.8% of the LV, P < 0.001) and worse ejection fraction (47 ± 7% vs. 53 ± 7%, P = 0.04). Further details on the cardiac MR findings are summarized in Table 2.
Table 2

Cardiac MR Characteristics of STEMI Patients Divided Into Those With and Without IMH

With IMH (n = 26)Without IMH (n = 13) P value
EDV/ml172 ± 44152 ± 170.06
ESV/ml91 ± 3073 ± 160.02a
EF/%47 ± 753 ± 70.04a
LV Mass/g117 ± 44111 ± 230.66
Infarct size/ % of LV33.4 ± 11.317.5 ± 9.8<0.001a
Infarct size/ g24.9 ± 8.611.4 ± 8.0<0.001a
AAR/ %LV46.5 ± 10.837.5 ± 13.30.03a
Late MVO/ % (n)96 (25)8 (1)<0.001a
Early MVO/ % (n)100 (26)46 (6)0.02a
T1Core/ ms997 ± 791124 ± 65b <0.001a
T1Remote/ ms1035 ± 461014 ± 55b 0.03a
T1Salvage/ ms1244 ± 791267 ± 650.43
T2Core/ ms50 ± 457 ± 4<0.001a
T2Remote/ ms51 ± 350 ± 30.35
T2Salvage/ ms66 ± 666 ± 70.85

Denotes statistically significant.

Includes patients with and without a detectable hypointense core.

IMH: intramyocardial hemorrhage; EDV: end diastolic volume; ESV: end systolic volume; EF: ejection fraction; LV: left ventricular mass; AAR: area‐at‐risk; MVO: microvascular obstruction.

Cardiac MR Characteristics of STEMI Patients Divided Into Those With and Without IMH Denotes statistically significant. Includes patients with and without a detectable hypointense core. IMH: intramyocardial hemorrhage; EDV: end diastolic volume; ESV: end systolic volume; EF: ejection fraction; LV: left ventricular mass; AAR: area‐at‐risk; MVO: microvascular obstruction.

Detection of IMH by T 1 and T 2 mapping (n = 39)

In patients with IMH, T 1Core was lower than T 1Remote (997 ± 79 msec vs. 1035 ± 46 msec, P = 0.02) whereas T 2Core was similar to T 2Remote (50 ± 4 msec vs. 51 ± 3 msec, P = 1.0). In patients without IMH, T 1Core and T 2Core were higher than T 1Remote and T 2Remote as shown in Fig. 4. ROC analyses of the T 1 and T 2 values of the hypointense core showed that both mapping techniques performed equally well at detecting IMH on the acute scans (T 1 maps: area under the curve (AUC) 0.86 [95% CI 0.72‐0.99], cutoff value for T 1Core: <1080 msec; T 2 maps: AUC 0.86 [95% CI 0.74‐0.99]; P = 0.94, cutoff value for T 2Core: <54 msec) (Fig. 5). When using the binary assessment of either presence or absence of a hypointense core on the T 1 and T 2 maps as a measure to detect IMH, T 1 and T 2 performed as well as the quantitative assessment of the maps (T 1: AUC 0.87 [95% CI 0.73‐1.00], T 2: AUC 0.85 [95% CI 0.71‐0.99]; P = 0.90). The presence of a hypointense core had a sensitivity of 88% and a specificity of 85% to detect IMH on the T 1 maps and a sensitivity of 85% and specificity of 85% on the T 2 maps. The accuracy by T 1 mapping was 87% and 85% by T 2 mapping. The positive predictive value by T 1 and T 2 mapping were both 92%. The negative predictive value was highest by T 1 mapping at 87% and 85% by T 2 mapping.
Figure 4

T 1 and T 2 values of the hypointense core, remote myocardium, and the salvaged myocardium. *Statistically significant difference.

Figure 5

ROC curves for the diagnostic performance of T 1 and T 2 mapping to detect IMH on the acute scans when compared to maps

T 1 and T 2 values of the hypointense core, remote myocardium, and the salvaged myocardium. *Statistically significant difference. ROC curves for the diagnostic performance of T 1 and T 2 mapping to detect IMH on the acute scans when compared to maps

Detection of Early and Late MVO by T 1 and T 2 Maps (n = 48)

The AUC for the presence of a hypointense core on the maps to detect early MVO was 0.83 (95% CI 0.70–0.97) for T 1 (sensitivity: 76%; specificity: 90%) and 0.82 (95% CI 0.69–0.97) for T 2 (sensitivity: 77%; specificity: 90%). For the detection of late MVO the AUC was 0.79 (95% CI 0.64–0.95) for T 1 (sensitivity: 84%; specificity: 71%) 0.80 (95% CI 0.62–0.93) for T 2 (sensitivity: 80%; specificity of 72%). Table 3 summarizes further details on the diagnostic performances of T 1 and T 2 maps to detect IMH, early MVO, and late MVO.
Table 3

Summary of the Diagnostic Performances of T1 and T2 Maps to Detect IMH, Early MVO, and Late MVO

Sensitivity/ %Specificity/ %Positive predictive value/ %Negative predictive value/ %Accuracy/ %
IMH
T1 map8885927987
T2 map8585927385
Early MVO
T1 map7690975079
T2 map7490974777
Late MVO
T1 map8471877281
T2 map8072866879

IMH: intramyocardial hemorrhage; MVO: microvascular obstruction.

Summary of the Diagnostic Performances of T1 and T2 Maps to Detect IMH, Early MVO, and Late MVO IMH: intramyocardial hemorrhage; MVO: microvascular obstruction.

ROC Comparison for the Detection of IMH, early MVO, and Late MVO

There was no significant difference in the diagnostic performance for T 1 and T 2 mapping to detect IMH, early MVO, and late MVO (P values for ROC curves comparison for IMH vs. early MVO, IMH vs. late MVO, early MVO vs. late MVO for T 1 mapping: 0.90, 0.43, 0.37, respectively; for T 2 mapping: 0.81, 0.58, and 0.42 respectively)

Early MVO With and Without IMH (n = 32)

Thirty‐two patients had analyzable maps and early MVO. Eighty‐one percent (26/32) of the patients had early MVO with IMH and 19% (6/32) of the patients had early MVO without IMH. Both T 1 and T 2 values were significantly lower in patients with early MVO with IMH compared to those with early MVO without IMH (T 1Core: 998[954-1036] msec vs. 1116[1085-1168], P < 0001; T 2Core: 50[48-53] msec vs. 55[54-56] msec, P = 0.005). The same comparison was not performed for late MVO as only one patient had late MVO without IMH. All patients with early MVO with IMH developed late MVO compared to 2/6 (33%) of those with early MVO without IMH had late MVO, P < 0.0001.

Interobserver and Intraobserver Variability (n = 10)

On the quantitative mapping analysis of the hypointense core, for intraobserver variability the ICC for the quantification of the hypointense core for the T 1 maps was 0.944 (0.792–0.986) and for T 2 maps was 0.903 (0.637–0.976). For interobserver variability, the ICC for T 1 maps was 0.935 (0.746–0.984) and for T 2 maps was 0.887 (0.528–0.972). On the qualitative mapping analysis for the hypointense core detection using the semiautomatic method, the interobserver and intraobserver agreement was 100%, Cohen's kappa = 1.0, P < 0.0001.

Discussion

We have shown that the presence of a hypointense core within the area if hyperenhancement (AAR) on the T 1 and T 2 maps obtained at day 4 following a reperfused STEMI detected the presence of IMH with good specificity and sensitivity compared to the reference standard method using maps. The binary assessment of presence or absence of a hypointense core performed as well as the quantitative assessment of the actual T 1 and T 2 values of the hypointense core. However, maps are still the modality of choice when available, as the accuracy for T 1 and T 2 maps to detect IMH was only 85 to 87%, respectively. T 1 and T 2 maps provide an alternative option for the detection of IMH when imaging is not available. The presence of a hypointense core on the T 1 and T 2 mapping performed equally well to detect early and late MVO. This is not surprising for late MVO, as most patients with late MVO also had IMH and therefore this approach performs well to detect hemorrhagic MVO in our cohort. Although numerically the AUCs were higher for the detection of early MVO than late MVO, ROC curves comparison did not show a statistical difference. T 1 and T 2 mapping could differentiate between early MVO with and without IMH. Furthermore, those with IMH were more likely to display late MVO. Early MVO likely represents a spectrum of etiologies for microvascular injury and late MVO represents the more severe form as IMH. A recent study34 using a porcine model of MI showed that T 2‐STIR imaging could not discriminate between IMH and MVO but imaging was performed at 8 days and no data were acquired. Given the recent evidence of the dynamic nature for the detection of the paramagnetic properties of IMH,35 it is not possible to put the results of that study into context with our findings. T 1 of the infarct core was recently shown to be more prognostic than LV ejection fraction, infarct core T 2, and IMH in a large cohort of STEMI patients.9 In a separate article of the same cohort of patients, Carrick et al5 showed that IMH was more closely associated with adverse LV remodeling than late MVO, but their timing of cardiac MR was a mean of 2.1 days and 87% of their patients with MVO had IMH. They also demonstrated the dynamic nature of MVO and IMH peaked at 2.9 days.5 So far, in other studies using for detection of IMH, CMR were performed at 2–3 days (O'Regan et al2: Day 3; Mather et al19: Day 2; Kali et al7: Day 3: Kandler et al8: Day 3; Zia et al17: Day 2). Whether performing cardiac MR ≥3 days post‐PPCI (our study: mean of 4 days—96% with MVO had IMH) may reveal more patients with MVO and IMH, which would have more prognostic significance, remains to be tested in future adequately powered studies. The hypointense core on the T 2 maps in reperfused STEMI patients has been noted in previous studies and was thought to be due to IMH.17, 32 Pedersen et al36 previously showed that T 1‐weighted inversion recovery images could detect IMH with high sensitivity and specificity in a porcine model of acute STEMI. However, we are the first study to directly compare the diagnostic performance of T 1 and T 2 mapping to detect IMH against mapping in the clinical setting. The mechanism of the low signal within the areas of IMH has previously been attributed to the paramagnetic properties of hemoglobin breakdown products.20 However, degradation of the extravasated erythrocytes to oxyhemoglobin, deoxyhemoglobin, and methemoglobin (strongly paramagnetic) is dynamic and would exhibit different T 1 and T 2 properties at various stages as previously described by Bradley et al37 in brain imaging. T 2 was better at identifying deoxyhemoglobin, whereas T 1 was better at detecting methemoglobin37 and this may explain the difference in sensitivities for T 1 and T 2 maps to detect IMH in our study. Breakdown of the erythrocyte membrane eventually leads to ferritin and hemosiderin deposits within macrophages.20 Although is the most sensitive to detect IMH, it is prone to motion artifacts due to relatively long breath‐hold duration and this has led to the development of free‐breathing mapping using motion corrected averaging.10 However, this is not widely available yet and therefore T 1 and T 2 mapping, which is increasingly becoming available in most centers performing STEMI research, may be an alternative option to assess for IMH and MVO. This approach would minimize patients dropping out of studies when mapping was not acquired or were not interpretable. The mechanism for a hypointense core on the T 1 and T 2 maps in patients without IMH but with MVO is not clear. It has been postulated that this may be due to a localized reduction in tissue water content due to obstruction of the capillaries by distal embolization and plaques and cellular debris and compression from extrinsic edema.5, 32 The alternative explanation could be that the hypointense core on the T 1 and T 2 maps may still represent IMH but the hemoglobin degradation products are not paramagnetic enough to be detected by if imaged too early; more work remains to be done.

Limitations

This was a small study of 39 patients and no formal power calculation was performed, but was similar in size to previous studies7, 19, 38, 39 and the large prevalence of IMH in our cohort may have been due to chance. Using a more conservative prevalence for IMH of 40% (expected AUC 0.85), the sample size required in prospective studies would need to be 85 patients (PASS 14 Power Analysis and Sample Size Software; 2015; NCSS, Kaysville, Utah) and almost double the number if the performance of the hypointense core on the T 1 and T 2 maps were assessed to differentiate between MVO with and without IMH. A large number of the maps were not interpretable in our study predominantly due to motion, flow, and off‐resonance artifacts and this highlights the challenge of performing a comprehensive cardiac MR scan with multiparametric mapping in acutely unwell STEMI patients (average scanning time of 1 hour) and also shown in a recent large study with 14% of maps being not analyzable.5 We did not quantify the extent of IMH, as whole coverage for were not available and this was not the aim of this study, and some patients with small areas of IMH may have been missed. Histological validation for the low T 1 and T 2 of the hypointense core was not possible in this study and warrants further investigation. We used two LGE readouts to accommodate for patients who preferred not to breath‐hold for the LGE acquisition given the long duration of the scan, and the difference in signal‐to‐noise ratio between the two may have affected the detection of MVO. The large majority of our patients with MVO also had IMH. Therefore, we could not assess whether the hypointense core on the T 1 and T 2 maps could differentiate between late MVO with IMH and late MVO without IMH. However, we did find a difference in the T 1Core and T 2Core between those with early MVO with IMH and early MVO without IMH and this needs to be confirmed in future studies. We did not acquire data on black blood T 2‐STIR images or susceptibility‐weighted cardiac MRI (which has been shown to improve the detection of IMH at 1.5 T40 and 3T38 for comparison. The reduction in T 1 and T 2 using SSFP readouts could have been due to a combination of both the on‐resonance and off‐resonance signals from the paramagnetic components of the IMH and this was not elucidated in this study. In conclusion, the presence of a hypointense core on T 1 and T 2 maps within the first week following a STEMI can detect IMH equally well and with good sensitivity and specificity. The T 1 and T 2 mapping techniques provide an alternative approach for the detection of IMH in situations when maps are not interpretable or not available. However, mapping currently remains the reference standard in the clinical setting and T 1 and T 2 mapping therefore may play a complementary role in future studies targeting IMH.
  43 in total

1.  Impact of early vs. late microvascular obstruction assessed by magnetic resonance imaging on long-term outcome after ST-elevation myocardial infarction: a comparison with traditional prognostic markers.

Authors:  Suzanne de Waha; Steffen Desch; Ingo Eitel; Georg Fuernau; Johannes Zachrau; Anja Leuschner; Matthias Gutberlet; Gerhard Schuler; Holger Thiele
Journal:  Eur Heart J       Date:  2010-07-30       Impact factor: 29.983

Review 2.  2013 ACCF/AHA guideline for the management of ST-elevation myocardial infarction: executive summary: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines: developed in collaboration with the American College of Emergency Physicians and Society for Cardiovascular Angiography and Interventions.

Authors:  Patrick T O'Gara; Frederick G Kushner; Deborah D Ascheim; Donald E Casey; Mina K Chung; James A de Lemos; Steven M Ettinger; James C Fang; Francis M Fesmire; Barry A Franklin; Christopher B Granger; Harlan M Krumholz; Jane A Linderbaum; David A Morrow; L Kristin Newby; Joseph P Ornato; Narith Ou; Martha J Radford; Jacqueline E Tamis-Holland; Carl L Tommaso; Cynthia M Tracy; Y Joseph Woo; David X Zhao
Journal:  Catheter Cardiovasc Interv       Date:  2013-01-08       Impact factor: 2.692

3.  Reperfusion haemorrhage as determined by cardiovascular MRI is a predictor of adverse left ventricular remodelling and markers of late arrhythmic risk.

Authors:  Adam N Mather; Timothy A Fairbairn; Stephen G Ball; John P Greenwood; Sven Plein
Journal:  Heart       Date:  2010-11-04       Impact factor: 5.994

4.  Motion correction for myocardial T1 mapping using image registration with synthetic image estimation.

Authors:  Hui Xue; Saurabh Shah; Andreas Greiser; Christoph Guetter; Arne Littmann; Marie-Pierre Jolly; Andrew E Arai; Sven Zuehlsdorff; Jens Guehring; Peter Kellman
Journal:  Magn Reson Med       Date:  2011-08-29       Impact factor: 4.668

5.  Characterizing myocardial edema and hemorrhage using quantitative T2 and T2* mapping at multiple time intervals post ST-segment elevation myocardial infarction.

Authors:  Mohammad I Zia; Nilesh R Ghugre; Kim A Connelly; Bradley H Strauss; John D Sparkes; Alexander J Dick; Graham A Wright
Journal:  Circ Cardiovasc Imaging       Date:  2012-06-28       Impact factor: 7.792

6.  Microvascular Obstruction: The Bane of Myocardial Reperfusion.

Authors:  Heerajnarain Bulluck; Derek J Hausenloy
Journal:  Rev Esp Cardiol (Engl Ed)       Date:  2015-11

Review 7.  CMR of microvascular obstruction and hemorrhage in myocardial infarction.

Authors:  Katherine C Wu
Journal:  J Cardiovasc Magn Reson       Date:  2012-09-29       Impact factor: 5.364

8.  The relation between hypointense core, microvascular obstruction and intramyocardial haemorrhage in acute reperfused myocardial infarction assessed by cardiac magnetic resonance imaging.

Authors:  Diana Kandler; Christian Lücke; Matthias Grothoff; Claudia Andres; Lukas Lehmkuhl; Stefan Nitzsche; Franziska Riese; Meinhard Mende; Suzanne de Waha; Steffen Desch; Philipp Lurz; Ingo Eitel; Matthias Gutberlet
Journal:  Eur Radiol       Date:  2014-08-06       Impact factor: 5.315

9.  Cardiovascular MR T2-STIR imaging does not discriminate between intramyocardial haemorrhage and microvascular obstruction during the subacute phase of a reperfused myocardial infarction.

Authors:  Esben Søvsø Szocska Hansen; Steen Fjord Pedersen; Steen Bønløkke Pedersen; Uffe Kjærgaard; Nikolaj Hjort Schmidt; Hans Erik Bøtker; Won Yong Kim
Journal:  Open Heart       Date:  2016-04-20

10.  T1 mapping and T2 mapping at 3T for quantifying the area-at-risk in reperfused STEMI patients.

Authors:  Heerajnarain Bulluck; Steven K White; Stefania Rosmini; Anish Bhuva; Thomas A Treibel; Marianna Fontana; Amna Abdel-Gadir; Anna Herrey; Charlotte Manisty; Simon M Y Wan; Ashley Groves; Leon Menezes; James C Moon; Derek J Hausenloy
Journal:  J Cardiovasc Magn Reson       Date:  2015-08-12       Impact factor: 5.364

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  15 in total

1.  Native T1 mapping to detect extent of acute and chronic myocardial infarction: comparison with late gadolinium enhancement technique.

Authors:  Amardeep Ghosh Dastidar; Iwan Harries; Giulia Pontecorboli; Vito D Bruno; Estefania De Garate; Charlie Moret; Anna Baritussio; Thomas W Johnson; Elisa McAlindon; Chiara Bucciarelli-Ducci
Journal:  Int J Cardiovasc Imaging       Date:  2018-10-24       Impact factor: 2.357

Review 2.  The coronary circulation in acute myocardial ischaemia/reperfusion injury: a target for cardioprotection.

Authors:  Derek J Hausenloy; William Chilian; Filippo Crea; Sean M Davidson; Peter Ferdinandy; David Garcia-Dorado; Niels van Royen; Rainer Schulz; Gerd Heusch
Journal:  Cardiovasc Res       Date:  2019-06-01       Impact factor: 10.787

Review 3.  Towards accurate and precise T 1 and extracellular volume mapping in the myocardium: a guide to current pitfalls and their solutions.

Authors:  Donnie Cameron; Vassilios S Vassiliou; David M Higgins; Peter D Gatehouse
Journal:  MAGMA       Date:  2017-06-12       Impact factor: 2.310

Review 4.  Role of Cardiac Magnetic Resonance Imaging in Myocardial Infarction.

Authors:  Gianluca Pontone; Patrizia Carità; Mark G Rabbat; Marco Guglielmo; Andrea Baggiano; Giuseppe Muscogiuri; Andrea I Guaricci
Journal:  Curr Cardiol Rep       Date:  2017-08-31       Impact factor: 2.931

5.  Full left ventricular coverage is essential for the accurate quantification of the area-at-risk by T1 and T2 mapping.

Authors:  Heerajnarain Bulluck; Jennifer A Bryant; Mei Xing Lim; Xiao Wei Tan; Manish Ramlall; Rohin Francis; Tushar Kotecha; Hector A Cabrera-Fuentes; Daniel S Knight; Marianna Fontana; James C Moon; Derek J Hausenloy
Journal:  Sci Rep       Date:  2017-07-07       Impact factor: 4.379

6.  Interrogation of the infarcted and salvaged myocardium using multi-parametric mapping cardiovascular magnetic resonance in reperfused ST-segment elevation myocardial infarction patients.

Authors:  Derek J Hausenloy; Mei Xing Lim; Mervyn H H Chan; Valeria Paradies; Rohin Francis; Tushar Kotecha; Daniel S Knight; Marianna Fontana; Peter Kellman; James C Moon; Heerajnarain Bulluck
Journal:  Sci Rep       Date:  2019-06-21       Impact factor: 4.379

Review 7.  Cardiovascular Magnetic Resonance in Acute ST-Segment-Elevation Myocardial Infarction: Recent Advances, Controversies, and Future Directions.

Authors:  Heerajnarain Bulluck; Rohan Dharmakumar; Andrew E Arai; Colin Berry; Derek J Hausenloy
Journal:  Circulation       Date:  2018-05-01       Impact factor: 29.690

8.  Redefining viability by cardiovascular magnetic resonance in acute ST-segment elevation myocardial infarction.

Authors:  Heerajnarain Bulluck; Stefania Rosmini; Amna Abdel-Gadir; Anish N Bhuva; Thomas A Treibel; Marianna Fontana; Daniel S Knight; Sabrina Nordin; Alex Sirker; Anna S Herrey; Charlotte Manisty; James C Moon; Derek J Hausenloy
Journal:  Sci Rep       Date:  2017-11-07       Impact factor: 4.379

9.  Quantification of both the area-at-risk and acute myocardial infarct size in ST-segment elevation myocardial infarction using T1-mapping.

Authors:  Heerajnarain Bulluck; Matthew Hammond-Haley; Marianna Fontana; Daniel S Knight; Alex Sirker; Anna S Herrey; Charlotte Manisty; Peter Kellman; James C Moon; Derek J Hausenloy
Journal:  J Cardiovasc Magn Reson       Date:  2017-08-01       Impact factor: 5.364

10.  Cardiovascular magnetic resonance native T2 and T2* quantitative values for cardiomyopathies and heart transplantations: a systematic review and meta-analysis.

Authors:  G J H Snel; M van den Boomen; L M Hernandez; C T Nguyen; D E Sosnovik; B K Velthuis; R H J A Slart; R J H Borra; N H J Prakken
Journal:  J Cardiovasc Magn Reson       Date:  2020-05-11       Impact factor: 5.364

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