A Predictor for Defects in Filling of the Left Atrial Appendage on Cardiac Computed Tomography in Patients With Atrial Fibrillation
Journal of Computer Assisted Tomography, ISSN: 1532-3145, Vol: 44, Issue: 2, Page: 284-288
2020
- 3Citations
- 4Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations3
- Citation Indexes3
- CrossRef2
- Captures4
- Readers4
Article Description
Purpose The aim of this study was to identify possible predictors for findings of left atrial appendage (LAA) filling defects in patients with atrial fibrillation (AF) on cardiac computed tomography (CT). Materials and Methods We retrospectively evaluated findings of LAA filling defects on the early phase of cardiac CT of 63 patients with history of AF and compared those images with those of 63 control subjects. We investigated potential predictors for LAA filling defects. Results Filling defects of the LAA correlated significantly with patient history of persistent AF (P = 0.045; odds ratio [OR], 3.17), chicken wing morphology (P = 0.013; OR, 4.12), and with LAA volume (P = 0.0032; OR, 1.19) of 12.53 cm3 or greater (sensitivity, 87.3%; specificity, 69.8%). Conclusions We observed persistent AF, the chicken wing type of LAA morphology, and LAA volume as independent predictors of LAA filling defects on cardiac CT. These findings might improve cardiac CT scanning protocol.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85082147432&origin=inward; http://dx.doi.org/10.1097/rct.0000000000000984; http://www.ncbi.nlm.nih.gov/pubmed/32195808; https://journals.lww.com/10.1097/RCT.0000000000000984; https://dx.doi.org/10.1097/rct.0000000000000984; https://journals.lww.com/jcat/Abstract/2020/03000/A_Predictor_for_Defects_in_Filling_of_the_Left.19.aspx
Ovid Technologies (Wolters Kluwer Health)
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