Low-keV Virtual Monoenergetic Imaging for Bronchial Artery Visualization on Photon-Counting Detector Computed Tomography
<b>Background/Objectives:</b> This study aims to determine the optimal use of virtual monoenergetic imaging (VMI) for visualizing the bronchial artery on photon-counting detector computed tomography (PCD-CT). <b>Methods:</b> We evaluated the visibility of the bronchial artery on PCD-CT in 34 consecutive patients with esophageal cancer (twenty-eight men, six women; mean age, 70.2 years) prior to surgery. Region-of-interest measurements were taken at the right bronchial artery at the tracheal bifurcation level, mediastinal fat, and the erector spinae muscles on contrast-enhanced early-phase CT. We compared the CT attenuation of the bronchial artery, image noise, and contrast-to-noise ratio (CNR) across VMI at 40, 50, 60, and 70 keV. Additionally, two radiologists performed a subjective image quality assessment by comparing VMI at 40, 50, and 60 keV with 70 keV, rating bronchial artery enhancement, border clarity, peripheral visibility, and image noise. <b>Results:</b> CT attenuation, image noise, and CNR significantly differed across VMI energy levels (<i>p</i> < 0.00001). Lower-keV VMI demonstrated higher CT attenuation and increased noise but also higher CNR (all <i>p</i> < 0.05). Both radiologists rated bronchial artery enhancement, border clarity, and peripheral visibility higher at 40 and 50 keV than at 70 keV, with the highest scores observed at 40 keV (all <i>p</i> < 0.05). Observer 1 noted slightly increased noise at 40 and 50 keV, while observer 2 observed this effect at 40 keV compared with 70 keV. <b>Conclusions:</b> Low-keV (40-50 keV) VMI on PCD-CT enhances bronchial artery visualization.
Authors
- Xuyang Sun (ORCID: https://orcid.org/0000-0003-0867-1100)
- Jun Hashimoto (ORCID: https://orcid.org/0000-0003-2286-2165)
- Takakiyo Nomura
- Tetsu Niwa (ORCID: https://orcid.org/0000-0003-2861-0057)
- Kazuo Koyanagi (ORCID: https://orcid.org/0000-0002-8010-8630)
- Ryoichi Yoshida (ORCID: https://orcid.org/0009-0008-2991-5331)
Institutions
- Tokai University (JP)
- Tokai University Hospital (JP)
Publication Details
- Journal
- Diagnostics
- Published
- 2025-05-28
- DOI
- https://doi.org/10.3390/diagnostics15111354
- Citations
- 2
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.35