BACKGROUND: We examined the potential role of Doppler myocardial imaging including tissue velocity imaging, strain imaging, and strain rate imaging for detection of left ventricular systolic dysfunction in cardiac amyloidosis (CA) and determined the minimum dataset required to make the diagnosis. METHODS AND RESULTS: Doppler myocardial imaging was performed in 103 patients with amyloidosis (AL). Peak longitudinal systolic tissue velocity, systolic strain rate (sSR), and systolic strain (sS) were determined for 16 left ventricular segments. Radial and circumferential sSR and sS were also measured. Patients with increased left ventricular wall thickness were classified with advanced-CA, and the remainder of the patients were classified with AL-normal-wall-thickness. The global means of peak systolic tissue velocity (3.6 +/- 1.0 vs. 3.9 +/- 0.9, P = .007), sSR (-0.8 +/- 0.3 vs. -1.0 +/- 0.2, P < .001), and sS (-9.9 +/- 3.7 vs. -15.6 +/- 3.3, P < .001) were significantly lower in advanced-CA compared with AL-normal-wall-thickness. The mean of either sSR or sS from 6 middle or all 16 segments similarly differentiated patients with advanced-CA from AL-normal-wall-thickness. CONCLUSIONS: Longitudinal sS most accurately detects longitudinal systolic dysfunction in AL and best differentiates patients with advanced-CA with increased ventricular thickness from patients with AL-normal-wall-thickness. Interrogation of six middle segments was sufficient in identifying patients with advanced-CA. Further studies are warranted to define the incremental prognostic value of these new parameters in predicting outcomes for patients with AL.
BACKGROUND: We examined the potential role of Doppler myocardial imaging including tissue velocity imaging, strain imaging, and strain rate imaging for detection of left ventricular systolic dysfunction in cardiac amyloidosis (CA) and determined the minimum dataset required to make the diagnosis. METHODS AND RESULTS: Doppler myocardial imaging was performed in 103 patients with amyloidosis (AL). Peak longitudinal systolic tissue velocity, systolic strain rate (sSR), and systolic strain (sS) were determined for 16 left ventricular segments. Radial and circumferential sSR and sS were also measured. Patients with increased left ventricular wall thickness were classified with advanced-CA, and the remainder of the patients were classified with AL-normal-wall-thickness. The global means of peak systolic tissue velocity (3.6 +/- 1.0 vs. 3.9 +/- 0.9, P = .007), sSR (-0.8 +/- 0.3 vs. -1.0 +/- 0.2, P < .001), and sS (-9.9 +/- 3.7 vs. -15.6 +/- 3.3, P < .001) were significantly lower in advanced-CA compared with AL-normal-wall-thickness. The mean of either sSR or sS from 6 middle or all 16 segments similarly differentiated patients with advanced-CA from AL-normal-wall-thickness. CONCLUSIONS: Longitudinal sS most accurately detects longitudinal systolic dysfunction in AL and best differentiates patients with advanced-CA with increased ventricular thickness from patients with AL-normal-wall-thickness. Interrogation of six middle segments was sufficient in identifying patients with advanced-CA. Further studies are warranted to define the incremental prognostic value of these new parameters in predicting outcomes for patients with AL.
Authors: F Aus dem Siepen; R Bauer; A Voss; S Hein; M Aurich; J Riffel; D Mereles; C Röcken; S J Buss; H A Katus; Arnt V Kristen Journal: Clin Res Cardiol Date: 2017-09-27 Impact factor: 5.460
Authors: Sharmila Dorbala; Yukio Ando; Sabahat Bokhari; Angela Dispenzieri; Rodney H Falk; Victor A Ferrari; Marianna Fontana; Olivier Gheysens; Julian D Gillmore; Andor W J M Glaudemans; Mazen A Hanna; Bouke P C Hazenberg; Arnt V Kristen; Raymond Y Kwong; Mathew S Maurer; Giampaolo Merlini; Edward J Miller; James C Moon; Venkatesh L Murthy; C Cristina Quarta; Claudio Rapezzi; Frederick L Ruberg; Sanjiv J Shah; Riemer H J A Slart; Hein J Verberne; Jamieson M Bourque Journal: J Nucl Cardiol Date: 2019-12 Impact factor: 5.952
Authors: Paolo Milani; Angela Dispenzieri; Christopher G Scott; Morie A Gertz; Stefano Perlini; Roberta Mussinelli; Martha Q Lacy; Francis K Buadi; Shaji Kumar; Mathew S Maurer; Giampaolo Merlini; Suzanne R Hayman; Nelson Leung; David Dingli; Kyle W Klarich; John A Lust; Yi Lin; Prashant Kapoor; Ronald S Go; Patricia A Pellikka; Yi L Hwa; Stephen R Zeldenrust; Robert A Kyle; S Vincent Rajkumar; Martha Grogan Journal: Circ Cardiovasc Imaging Date: 2018-05 Impact factor: 7.792