Improving intracranial aneurysms image quality and diagnostic confidence with deep learning reconstruction in craniocervical CT angiography

Author:

Bai Kun1,Wang Tiantian2,Zhang Guozhi2ORCID,Zhang Ming1,Fu Hongchao1,Feng Yun1,Liang Kaiyi1ORCID

Affiliation:

1. Radiology Department, Jiading District Central Hospital Affiliated to Shanghai University of Medicine & Health Sciences, Key Laboratory of Shanghai Municipal Health Commission for Smart Image, Shanghai, PR China

2. Central Research Institute, United Imaging Healthcare, Shanghai, PR China

Abstract

Background The diagnostic impact of deep learning computed tomography (CT) reconstruction on intracranial aneurysm (IA) remains unclear. Purpose To quantify the image quality and diagnostic confidence on IA in craniocervical CT angiography (CTA) reconstructed with DEep Learning Trained Algorithm (DELTA) compared to the routine hybrid iterative reconstruction (HIR). Material and Methods A total of 60 patients who underwent craniocervical CTA and were diagnosed with IA were retrospectively enrolled. Images were reconstructed with DELTA and HIR, where the image quality was first compared in noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR). Next, two radiologists independently graded the noise appearance, arterial sharpness, small vessel visibility, conspicuity of calcifications that may present in arteries, and overall image quality, each with a 5-point Likert scale. The diagnostic confidence on IAs of various sizes was also graded. Results Significantly lower noise and higher SNR and CNR were found on DELTA than on HIR images (all P < 0.05). All five subjective metrics were scored higher by both readers on the DELTA images (all P < 0.05), with good to excellent inter-observer agreement (κ = 0.77–0.93). DELTA images were rated with higher diagnostic confidence on IAs compared to HIR ( P < 0.001), particularly for those with size ≤3 mm, which were scored 4.5 ± 0.6 versus 3.4 ± 0.8 and 4.4 ± 0.7 versus 3.5 ± 0.8 by two readers, respectively. Conclusion The DELTA shows potential for improving the image quality and the associated confidence in diagnosing IA that may be worth consideration for routine craniocervical CTA applications.

Funder

Key projects of Shanghai Jiading District Health Commission

Key medical specialty of Jiading District, Shanghai

Publisher

SAGE Publications

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