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EFFECT OF CHANGING STRAIN SOFTWARE VERSIONS ON LONGITUDINAL ASSESSMENT OF LV FUNCTION
1496 JACC March 21, 2017 Volume 69, Issue 11
Non Invasive Imaging (Echocardiography, Nuclear, PET, MR and CT) EFFECT OF CHANGING STRAIN SOFTWARE VERSIONS ON LONGITUDINAL ASSESSMENT OF LV FUNCTION Poster Contributions Poster Hall, Hall C Friday, March 17, 2017, 3:45 p.m.-4:30 p.m. Session Title: Emerging Applications of Echocardiography Abstract Category: 28. Non Invasive Imaging: Echo Presentation Number: 1160-221 Authors: Tomoko Negishi, Kazuaki Negishi, Koji Kurosawa, Krasimira Hristova, Julie Lemieux, Svend Aakhus, Martin Penicka, Bogdan Popescu, Dragos Vinereanu, Goo-Yeong Cho, Paaladinesh Thavendiranathan, Thomas Marwick, Menzies Institute for Medical Research, Hobart, Australia Background: While attention has focused on between-vendor variability, within-vendor variations in software (SW) version. Many pts require follow-up of LV status over months to years, during which time SW is often updated. We sought the impact of SW versions in cardio-oncology pts.
Methods: Global longitudinal strain (GLS) were measured in patients from 9 international institutions (3 Europe, 2 North America, 3 Asia and 1 Australia) by sites with one single version of software. Same images were blindly measured by one core-lab reader with 3 consecutive versions of software. Concordance was evaluated with intraclass correlation coefficient (ICC), Bland-Altman plot, mean difference with standard deviation, and coefficient of variance. As there was a change in the algorithm from Ver1 to 2, but minimal from 2 to 3, the latter acted as a control.
Results: Among 58 cancer pts (age 52±12, 56 female), site-derived GLS was -20.6±2.1%, close to every version at the core-lab (Ver1; -21.2±2.2 (p=0.71), Ver2; -21.2±2.5% (p=0.78), Ver3; -21.2±2.2% (p=1.00), group p=0.36). ICC between site and core-lab Ver1 was 0.84 [95%CI 0.71-0.82], similar to site and Ver2 (0.86 [95%CI 0.74-0.93]) and site and Ver3 (0.85 [0.74-0.92]). Correlations between site and the 3 versions were good (site vs. Ver1, r=0.78; vs. Ver2, r=0.80; vs. Ver3; r=0.76, all p<0.0001), the differences in strain value were negligible (Table). Conclusions: The effect of software version on sequential follow-up over the last 3 years seems minimal.
Non Invasive Imaging (Echocardiography, Nuclear, PET, MR and CT) EFFECT OF CHANGING STRAIN SOFTWARE VERSIONS ON LONGITUDINAL ASSESSMENT OF LV FUNCTION Poster Contributions Poster Hall, Hall C Friday, March 17, 2017, 3:45 p.m.-4:30 p.m. Session Title: Emerging Applications of Echocardiography Abstract Category: 28. Non Invasive Imaging: Echo Presentation Number: 1160-221 Authors: Tomoko Negishi, Kazuaki Negishi, Koji Kurosawa, Krasimira Hristova, Julie Lemieux, Svend Aakhus, Martin Penicka, Bogdan Popescu, Dragos Vinereanu, Goo-Yeong Cho, Paaladinesh Thavendiranathan, Thomas Marwick, Menzies Institute for Medical Research, Hobart, Australia Background: While attention has focused on between-vendor variability, within-vendor variations in software (SW) version. Many pts require follow-up of LV status over months to years, during which time SW is often updated. We sought the impact of SW versions in cardio-oncology pts.
Methods: Global longitudinal strain (GLS) were measured in patients from 9 international institutions (3 Europe, 2 North America, 3 Asia and 1 Australia) by sites with one single version of software. Same images were blindly measured by one core-lab reader with 3 consecutive versions of software. Concordance was evaluated with intraclass correlation coefficient (ICC), Bland-Altman plot, mean difference with standard deviation, and coefficient of variance. As there was a change in the algorithm from Ver1 to 2, but minimal from 2 to 3, the latter acted as a control.
Results: Among 58 cancer pts (age 52±12, 56 female), site-derived GLS was -20.6±2.1%, close to every version at the core-lab (Ver1; -21.2±2.2 (p=0.71), Ver2; -21.2±2.5% (p=0.78), Ver3; -21.2±2.2% (p=1.00), group p=0.36). ICC between site and core-lab Ver1 was 0.84 [95%CI 0.71-0.82], similar to site and Ver2 (0.86 [95%CI 0.74-0.93]) and site and Ver3 (0.85 [0.74-0.92]). Correlations between site and the 3 versions were good (site vs. Ver1, r=0.78; vs. Ver2, r=0.80; vs. Ver3; r=0.76, all p<0.0001), the differences in strain value were negligible (Table). Conclusions: The effect of software version on sequential follow-up over the last 3 years seems minimal.