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Rapid and accurate left ventricular chamber quantification using a novel CMR segmentation algorithm: A clinical validation study by Noel C.F. Codella; Matthew D. Cham; Richard Wong; Christopher Chu; James K. Min; Martin R. Prince; Yi Wang; Jonathan W. Weinsaft is a Medicine article available to read on EtoBox.

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## Abstract ## Purpose: To evaluate the clinical performance of a novel automated left ventricle (LV) segmentation algorithm (LV‐METRIC) that involves no geometric assumptions. ## Materials and Methods: LV‐METRIC and manual tracing (MT) were used independently to quantify LV volumes and LVEF (ejection fraction) for 151 consecutive patients who underwent cine‐CMR (steady‐state free precession). Phase contrast imaging was used to independently measure stroke volume. ## Results: LV‐METRIC was successful in all cases. Mean LVEF was within 1 point of MT (Δ 0.6 ± 2.3%, __P__ < 0.05), with smaller differences among patients with (0.5 ± 2.5%) versus those without (0.9 ± 2.3%; __P__ = 0.01) advanced systolic dysfunction (LVEF ≤ 35% by MT). LV volumes by LV‐METRIC were slightly smaller than MT during end‐diastole (3.9 ± 6.8 mL, __P__ < 0.001) and end‐systole (1.4 ± 5.5 mL, __P__ < 0.01). Mean processing time was 22 ± 13 seconds for LV‐METRIC and 4:59 ± 1:56 minutes for MT (__P__ < 0.001). Processing time correlated with LV blood volume by MT (__r__ = 0.43) and LV‐METRIC (__r__ = 0.55), but slope was 10‐fold steeper for MT (0.02 vs. 0.001), indicating greater proportionate time increases in r

Who reads Rapid and accurate left ventricular chamber quantification using a novel CMR segmentation algorithm: A clinical validation study?

Author

Noel C.F. Codella; Matthew D. Cham; Richard Wong; Christopher Chu; James K. Min; Martin R. Prince; Yi Wang; Jonathan W. Weinsaft

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 1053-1807)

Published

2010

Language

EN

Field

Medicine (Health Sciences)