AI Article Synopsis
- This study evaluated the effectiveness of different imaging algorithms in enhancing the quality of dual-energy computed tomography (DECT) images for laryngeal squamous cell carcinoma (SCC).
- Thirty-four patients with laryngeal SCC underwent imaging using linear blending (LBI), nonlinear blending (NBI), and noise-optimized virtual monoenergetic images (VMI+) with specific settings.
- Results showed that VMI+ at 40 keV provided the best contrast-to-noise ratio and tumor delineation, while NBI offered superior overall image quality, suggesting both techniques are beneficial for DECT assessments of laryngeal SCC.
Article Abstract
Background: Dual-energy computed tomography (DECT) has been used to improve image quality of head and neck squamous cell carcinoma (SCC). This study aimed to assess image quality of laryngeal SCC using linear blending image (LBI), nonlinear blending image (NBI), and noise-optimized virtual monoenergetic image (VMI+) algorithms.
Methods: Thirty-four patients with laryngeal SCC were retrospectively enrolled between June 2019 and December 2020. DECT images were reconstructed using LBI (80 kV and M_0.6), NBI, and VMI+ (40 and 55 keV) algorithms. Contrast-to-noise ratio (CNR), tumor delineation, and overall image quality were assessed and compared.
Results: VMI+ (40 keV) had the highest CNR and provided better tumor delineation than VMI+ (55 keV), LBI, and NBI, while NBI provided better overall image quality than VMI+ and LBI (all corrected p < 0.05).
Conclusions: VMI+ (40 keV) and NBI improve image quality of laryngeal SCC and may be preferable in DECT examination.
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| http://dx.doi.org/10.1002/hed.26812 | DOI Listing |
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