Medscape March 7, 2025
TOPLINE:
Deep learning–based reconstruction (DLR) significantly improved image quality in temporal bone ultrahigh-resolution CT (UHR-CT) for both adult and paediatric protocols, reducing noise and enhancing visualisation, according to a new study.
METHODOLOGY:
- Researchers conducted a retrospective, single-centre study in 2023, analysing 57 temporal bones from 35 patients with at least one anatomically unremarkable temporal bone.
- Analysis included an adult protocol group (CT dose index volume, 25.6 mGy; n = 30; median age, 51 years [range, 11-89 years]; 19 men) and a paediatric protocol group (15.3 mGy; n = 5; median age, 2 years [range, 1-3 years]; four boys), with CT images in both groups reconstructed using hybrid iterative reconstruction (HIR) at normal resolution and UHR as well as...