Impact of contrast enhancement boost and super-resolution deep learning reconstruction on pediatric congenital heart disease CTA scans: ultra-low contrast dose.

ABSTRACT:

Objective

To evaluate the feasibility of using contrast enhancement boost (CE-Boost) combined with super-resolution deep learning reconstruction (SR-DLR) to reduce contrast agent dosage in pediatric patients with congenital heart disease (CHD).

Methods

A total of 72 pediatric CHD patients were divided into the low-contrast-dose group (CE-Boost group, injection of 0.5 mL per kilogram of body weight, n = 36) or the standard-scan group (CE-CT group, 1.5 mL per kilogram of body weight, n = 36), both groups undergoing imaging with SR-DLR. The two imaging protocols were compared based on radiation dose, objective image quality, subjective evaluation, and diagnostic accuracy. To quantitatively evaluate image quality, CT attenuation (HU) and standard deviation (SD) values were measu

SUBMITTER: Zhou X 

PROVIDER: S-EPMC12625121 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature