Sökning: onr:"swepub:oai:gup.ub.gu.se/335011" >
External validation...
External validation of a deep learning algorithm for automated echocardiographic strain measurements
-
Myhre, Peder L. (författare)
-
Hung, Chung-Lieh (författare)
-
Frost, Matthew J. (författare)
-
visa fler...
-
Jiang, Zhubo (författare)
-
Ouwerkerk, Wouter (författare)
-
Teramoto, Kanako (författare)
-
- Svedlund, Sara (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för medicin,Institute of Medicine
-
Saraste, Antti (författare)
-
- Hage, Camilla (författare)
- Karolinska Institutet
-
Tan, Ru-San (författare)
-
Beussink-Nelson, Lauren (författare)
-
Fermer, Maria L. (författare)
-
- Gan, Li-Ming, 1969 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för molekylär och klinisk medicin,Institute of Medicine, Department of Molecular and Clinical Medicine
-
Hummel, Yoran M. (författare)
-
- Lund, Lars H. (författare)
- Karolinska Institutet
-
Shah, Sanjiv J. (författare)
-
Lam, Carolyn S. P. (författare)
-
Tromp, Jasper (författare)
-
visa färre...
-
(creator_code:org_t)
- 2024
- 2024
- Engelska.
-
Ingår i: EUROPEAN HEART JOURNAL - DIGITAL HEALTH. - 2634-3916. ; 5:1, s. 60-68
- Relaterad länk:
-
https://gup.ub.gu.se...
-
visa fler...
-
https://doi.org/10.1...
-
http://kipublication...
-
visa färre...
Abstract
Ämnesord
Stäng
- Aims Echocardiographic strain imaging reflects myocardial deformation and is a sensitive measure of cardiac function and wall-motion abnormalities. Deep learning (DL) algorithms could automate the interpretation of echocardiographic strain imaging.Methods and results We developed and trained an automated DL-based algorithm for left ventricular (LV) strain measurements in an internal dataset. Global longitudinal strain (GLS) was validated externally in (i) a real-world Taiwanese cohort of participants with and without heart failure (HF), (ii) a core-lab measured dataset from the multinational prevalence of microvascular dysfunction-HF and preserved ejection fraction (PROMIS-HFpEF) study, and regional strain in (iii) the HMC-QU-MI study of patients with suspected myocardial infarction. Outcomes included measures of agreement [bias, mean absolute difference (MAD), root-mean-squared-error (RMSE), and Pearson's correlation (R)] and area under the curve (AUC) to identify HF and regional wall-motion abnormalities. The DL workflow successfully analysed 3741 (89%) studies in the Taiwanese cohort, 176 (96%) in PROMIS-HFpEF, and 158 (98%) in HMC-QU-MI. Automated GLS showed good agreement with manual measurements (mean +/- SD): -18.9 +/- 4.5% vs. -18.2 +/- 4.4%, respectively, bias 0.68 +/- 2.52%, MAD 2.0 +/- 1.67, RMSE = 2.61, R = 0.84 in the Taiwanese cohort; and -15.4 +/- 4.1% vs. -15.9 +/- 3.6%, respectively, bias -0.65 +/- 2.71%, MAD 2.19 +/- 1.71, RMSE = 2.78, R = 0.76 in PROMIS-HFpEF. In the Taiwanese cohort, automated GLS accurately identified patients with HF (AUC = 0.89 for total HF and AUC = 0.98 for HF with reduced ejection fraction). In HMC-QU-MI, automated regional strain identified regional wall-motion abnormalities with an average AUC = 0.80.Conclusion DL algorithms can interpret echocardiographic strain images with similar accuracy as conventional measurements. These results highlight the potential of DL algorithms to democratize the use of cardiac strain measurements and reduce time-spent and costs for echo labs globally. Graphical Abstract
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Kardiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cardiac and Cardiovascular Systems (hsv//eng)
Nyckelord
- Deep learning
- Echocardiography
- Strain
- Global longitudinal strain
- Heart failure
- Artificial intelligence
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas
- Av författaren/redakt...
-
Myhre, Peder L.
-
Hung, Chung-Lieh
-
Frost, Matthew J ...
-
Jiang, Zhubo
-
Ouwerkerk, Woute ...
-
Teramoto, Kanako
-
visa fler...
-
Svedlund, Sara
-
Saraste, Antti
-
Hage, Camilla
-
Tan, Ru-San
-
Beussink-Nelson, ...
-
Fermer, Maria L.
-
Gan, Li-Ming, 19 ...
-
Hummel, Yoran M.
-
Lund, Lars H.
-
Shah, Sanjiv J.
-
Lam, Carolyn S. ...
-
Tromp, Jasper
-
visa färre...
- Om ämnet
-
- MEDICIN OCH HÄLSOVETENSKAP
-
MEDICIN OCH HÄLS ...
-
och Klinisk medicin
-
och Kardiologi
- Artiklar i publikationen
-
EUROPEAN HEART J ...
- Av lärosätet
-
Göteborgs universitet
-
Karolinska Institutet