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DOI 10.1186/s12872-019-1031-5

Медицинская библиотека · BMC cardiovascular disorders · 2019

Strain-encoded cardiac magnetic resonance imaging: a new approach for fast estimation of left ventricular function.

Lapinskas Tomas, Zieschang Victoria, Erley Jennifer, Stoiber Lukas, Schnackenburg Bernhard, Stehning Christian, Gebker Rolf, Patel Amit R, Kawaji Keigo, Steen Henning, Zaliunas Remigijus, Backhaus Sören J, Schuster Andreas, Makowski Marcus, Giusca Sorin, Korosoglou Grigorious, Pieske Burkert, Kelle Sebastian

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

BACKGROUND

Recently introduced fast strain-encoded (SENC) cardiac magnetic resonance (CMR) imaging (fast-SENC) provides real-time acquisition of myocardial performance in a single heartbeat. We aimed to test the ability and accuracy of real-time strain-encoded CMR imaging to estimate left ventricular volumes, ejection fraction and mass.

METHODS

Thirty-five subjects (12 healthy volunteers and 23 patients with known or suspected coronary artery disease) were investigated. All study participants were imaged at 1.5 Tesla MRI scanner (Achieva, Philips) using an advanced CMR study protocol which included conventional cine and fast-SENC imaging. A newly developed real-time free-breathing SENC imaging technique based on the acquisition of two images with different frequency modulation was employed.

RESULTS

All parameters were successfully derived from fast-SENC images with total study time of 105 s (a 15 s scan time and a 90 s post-processing time). There was no significant difference between fast-SENC and cine imaging in the estimation of LV volumes and EF, whereas fast-SENC underestimated LV end-diastolic mass by 7%.

CONCLUSION

The single heartbeat fast-SENC technique can be used as a good alternative to cine imaging for the precise calculation of LV volumes and ejection fraction while the technique significantly underestimates LV end-diastolic mass.

Для цитирования: Lapinskas Tomas, Zieschang Victoria, Erley Jennifer, Stoiber Lukas, Schnackenburg Bernhard, Stehning Christian, Gebker Rolf, Patel Amit R, Kawaji Keigo, Steen Henning, Zaliunas Remigijus, Backhaus Sören J, Schuster Andreas, Makowski Marcus, Giusca Sorin, Korosoglou Grigorious, Pieske Burkert, Kelle Sebastian. Strain-encoded cardiac magnetic resonance imaging: a new approach for fast estimation of left ventricular function.. BMC cardiovascular disorders. 2019. DOI: 10.1186/s12872-019-1031-5.

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