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Dataset Information

Imaging of hypodense gliotic lesions in photon counting computed tomography using virtual monoenergetic images.


ABSTRACT:

Objectives

Glioses appear as hypodense lesions in non-contrast CT examinations of the head. Photon counting CT (PCCT) enables the calculation of virtual monoenergetic images (VMI). The aim of this study is to investigate in which VMI hypodense gliotic lesions can be delineated best.

Materials and methods

35 patients with an MRI-confirmed gliotic lesion and a non-contrast PCCT of the head were retrospectively included. All available VMI from 40 keV to 190 keV were calculated. In a quantitative analysis, conventional image quality parameters were calculated, in particular the contrast-to-noise ratio (CNR) of the hypodense lesion compared to the white matter. In a qualitative analysis, selected VMI were rated by experienced radiologists.

Results

The absolute maximum of C

SUBMITTER: Schoenbeck D 

PROVIDER: S-EPMC11138327 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature