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DOI 10.1016/j.crad.2023.10.016

Медицинская библиотека · Clinical radiology · 2023

Prognostic value of cardiac magnetic resonance imaging feature tracking technology in patients with light chain amyloidosis.

Hu M, Shen Y, Yu H, Song Y, Zheng T, Hong D, Gong L

МетаанализСтатьяПеревод пока не подготовлен

Аннотация

AIM: To undertake a meta-analysis of the prognostic value of cardiac magnetic resonance imaging feature tracking (CMR-FT) in patients with light-chain cardiac amyloidosis (LCA).

MATERIALS AND

METHODS

A systematic search was conducted in PubMed, EMBASE, Web of Science, and the Cochrane Library. All analyses were conducted using RevMan 5.3 software.

RESULTS

Eight studies were included with 663 patients. For the left ventricle, the results showed that CMR-FT was statistically significant in predicting death, with less impaired global circumferential (GCS), radial (GRS) and longitudinal (GLS) strain in survivors of LCA (odds ratio [OR] 1.17, 95% confidence interval [CI] 1.09-1.25; 0.95, 0.93-0.96; 1.12, 1.05-1.20, all p<0.001). For ejection fraction (EF) and mass index, surviving patients had higher EFs and mass index (OR 0.96, 95% CI 0.96-0.97; 1.01, 1.01-1.02). For the right ventricle, the results showed that CMR-FT was statistically significant in predicting death, with less impaired GLS and GRS in survivors of LCA (OR 1.11, 95% CI 1.08-1.15; 0.93, 0.90-0.96, all p<0.001). Surviving patients had higher EFs (OR 0.97, 95% CI 0.96-0.98, p<0.001). Upon removing the studies one by one, there was no significant change in the results of the study. Both analyses showed no apparent publication deviation on funnel plots.

CONCLUSION

Parameters derived from CMR-FT technology are promising new predictors for LCA, and are easily available and reliable. Patients with poor myocardial deformability are at highest risk of death.

Для цитирования: Hu M, Shen Y, Yu H, Song Y, Zheng T, Hong D, Gong L. Prognostic value of cardiac magnetic resonance imaging feature tracking technology in patients with light chain amyloidosis.. Clinical radiology. 2023. DOI: 10.1016/j.crad.2023.10.016.

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