Enhancing accuracy of detecting left atrial dilatation on CT pulmonary angiography
Deep learning increases the accuracy of LA volume measurements on non-ECG gated CTPA, improving radiologist performance in detecting LA dilatation.
Authors
- Krit Dwivedi (ORCID: https://orcid.org/0000-0003-4949-4550)
- David Gerard Kiely (ORCID: https://orcid.org/0000-0003-0184-6502)
- Rob J. van der Geest (ORCID: https://orcid.org/0000-0002-9084-5597)
- Pankaj Garg (ORCID: https://orcid.org/0000-0002-0800-3578)
- Peter Metherall
- Ahmed Maiter (ORCID: https://orcid.org/0000-0002-4999-2608)
- Mahan Salehi (ORCID: https://orcid.org/0000-0002-4064-4762)
- Kavita Karunasaagarar (ORCID: https://orcid.org/0000-0003-3151-4760)
- Michael J. Sharkey (ORCID: https://orcid.org/0000-0001-9851-0014)
- Louis Tapper
- Samer Alabed (ORCID: https://orcid.org/0000-0002-9960-7587)
- Andrzej Lejawka
- Andrew J. Swift
Institutions
- University of East Anglia (GB)
- Leiden University Medical Center (NL)
- Norfolk and Norwich University Hospitals NHS Foundation Trust (GB)
- Sheffield Teaching Hospitals NHS Foundation Trust (GB)
Publication Details
- Journal
- European Journal of Radiology Open
- Published
- 2025-10-15
- DOI
- https://doi.org/10.1016/j.ejro.2025.100696
- Primary Topic
- Pulmonary Hypertension Research and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00