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Quantitative assessment of myocardial edema using a breath-hold T2 mapping pulse sequence

  • 1,
  • 1 and
  • 1
Journal of Cardiovascular Magnetic Resonance201012 (Suppl 1) :P277

https://doi.org/10.1186/1532-429X-12-S1-P277

  • Published:

Keywords

  • Myocarditis
  • Increase Signal Intensity
  • Relaxation Curve
  • Myocardial Edema
  • Acute Myocardial Ischemia

Introduction

An inflammatory response to various diseases, including acute myocardial ischemia, cardiac transplantation rejection and acute myocarditis, results in water accumulation in the myocardium. Excess water accumulation results in myocardial edema, which can lead to various conditions including myocardial stiffness, diastolic dysfunction, and tissue swelling [1]. Conventional T2-weighted (T2w) MRI can be used to qualitatively detect myocardial edema, but often yield non-uniform signal due to surface coil effects [2]. We propose to quantitatively detect myocardial edema using a breath-hold T2 mapping pulse sequence based on multi-echo, spin-echo (ME-SE) imaging [3].

Purpose

To quantitatively assess myocardial edema using a breath-hold, ME-SE T2 mapping pulse sequence in patients with clinical evidence of cardiac disease.

Methods

We imaged 7 female patients with various types of heart disease (see Table 1 for clinical history) on a 1.5 T MR scanner (Siemens;Avanto), using both the conventional T2w and ME-SE T2 mapping pulse sequences in 3 short-axis views of the heart. The relevant imaging parameters for the T2 mapping pulse sequence are: spatial resolution = 2 mm × 2 mm × 8 mm, echo-spacing = 4.5 ms, turbo-factor = 4, number of images = 8, and breath-hold duration = 13 s.
Table 1

Clinical history, T2 measurement, and diagnosis of myocardial edema

Patient age (years)

Disease

T2 (ms)

Diagnosis of myocardial edema (T2w/T2)

23

sarcoidosis

60.9

No/No

65

acute coronary syndrome

67.1

Yes/Yes

78

chronic coronary artery disease

56.0

No/No

62

sarcoidosis

88.1

Yes/Yes

58

sarcoidosis

57.9

No/No

69

myocarditis

71.1

Yes/Yes

21

mildly elevated troponin with normal coronary arteries

57.4

No/No

Conventional T2w images were qualitatively evaluated by a cardiologist for presence of myocardial edema. For the ME-SE data, myocardial contours were segmented manually using short-axis planes, and the corresponding pixel-by-pixel T2 maps were calculated by non-linear least square fitting of the mono-exponential relaxation curve. T2 values were averaged over the entire myocardium. The clinical reading and T2 data analysis were performed independently.

For the ME-SE data, an upper limit cutoff T2 value of 62.9 ms (5 standard deviations above the mean) was chosen based on prior ME-SE data obtained from a control group [3]. The accuracy of quantitative detection of myocardial edema was correlated with qualitative evaluation.

Results

Figure 1 shows T2w images and corresponding T2 maps from a patient diagnosed with myocardial edema compared to those from a patient without edema. Three out of seven patients were diagnosed with myocardial edema based on increased signal intensity on conventional T2w images and based on increased T2(Table 1).
Figure 1
Figure 1

(Left column) T 2 w images and (right coulmn) T 2 maps: (top row) patients without edema; bottom row) patient with edema.

Conclusion

This study demonstrates the feasibility of quantitatively detecting myocardial edema using a breath-hold ME-SE T2 mapping pulse sequence. Clinical evaluation for myocardial edema is challenging with conventional T2w imaging due to surface coil effects and lack of a normal myocardium reference signal. Future directions for this research include correlating increased T2 values with specific cardiac conditions and evaluating the clinical utility of this quantitative technique for assessment of myocardial edema.

Declarations

Acknowledgements

Grant sponsor: AHA0790141N, AHA 0630041N, NIG R01-DK069373, NIG R01-EB000447-07A1, NIH R01-HL083309, DD CSDA 2006066.

Authors’ Affiliations

(1)
New York University School of Medicine, New York, NY, USA

References

  1. Boxt LM, et al: MRI. 1993, 11: 375-387. 10.1016/0730-725X(93)90070-T.View ArticleGoogle Scholar
  2. Arai A: Circulation. 2008, 795-96. 10.1161/CIRCULATIONAHA.108.797373.Google Scholar
  3. Kim D, et al: MRM. 2009, 62: 300-306.PubMed CentralView ArticlePubMedGoogle Scholar

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