Abstract
Objectives
To compare clinical image quality and perceived impact on diagnostic interpretation of chest CT findings between ultra-high-resolution photon-counting CT (UHR-PCCT) and conventional high-resolution energy-integrating-detector CT (HR-EIDCT) using visual grading analysis (VGA) scores.
Materials and methods
Fifty patients who underwent a UHR-PCCT (matrix 512 × 512, 768 × 768, or 1024 × 1024; FOV average 275 × 376 mm, 120 × 0.2 mm; focal spot size 0.6 × 0.7 mm) between November 2021 and February 2022 and with a previous HR-EIDCT within the last 14 months were included. Four readers evaluated central and peripheral airways, lung vasculature, nodules, ground glass opacities, inter- and intralobular lines, emphysema, fissures, bullae/cysts, and air trapping on PCCT (0.4 mm) and conventional EIDCT (1 mm) via side-by-side reference scoring using a 5-point diagnostic quality score. The median VGA scores were compared and tested using one-sample Wilcoxon signed rank tests with hypothesized median values of 0 (same visibility) and 2 (better visibility on PCCT with impact on diagnostic interpretation) at a 2.5% significance level.
Results
Almost all lung structures had significantly better visibility on PCCT compared to EIDCT (p < 0.025; exception for ground glass nodules (N = 2/50 patients, p = 0.157)), with the highest scores seen for peripheral airways, micronodules, inter- and intralobular lines, and centrilobular emphysema (mean VGA > 1). Although better visibility, a perceived difference in diagnostic interpretation could not be demonstrated, since the median VGA was significantly different from 2.
Conclusion
UHR-PCCT showed superior visibility compared to HR-EIDCT for central and peripheral airways, lung vasculature, fissures, ground glass opacities, macro- and micronodules, inter- and intralobular lines, paraseptal and centrilobular emphysema, bullae/cysts, and air trapping.
Clinical relevance statement
UHR-PCCT has emerged as a promising technique for thoracic imaging, offering improved spatial resolution and lower radiation dose. Implementing PCCT into daily practice may allow better visibility of multiple lung structures and optimization of scan protocols for specific pathology.
Key Points
• The aim of this study was to verify if the higher spatial resolution of UHR-PCCT would improve the visibility and detection of certain lung structures and abnormalities.
• UHR-PCCT was judged to have superior clinical image quality compared to conventional HR-EIDCT in the evaluation of the lungs. UHR-PCCT showed better visibility for almost all tested lung structures (except for ground glass nodules).
• Despite superior image quality, the readers perceived no significant impact on the diagnostic interpretation of the studied lung structures and abnormalities.
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Abbreviations
- COVID:
-
Coronavirus disease
- CPFE:
-
Combined pulmonary fibrosis and emphysema
- CT:
-
Computed tomography
- EIDCT:
-
Energy-integrating-detector CT
- ILD:
-
Interstitial lung disease
- PACS:
-
Picture Archiving and Communication System
- PCCT:
-
Photon-counting CT
- VGA:
-
Visual grading analysis
References
Hobbs S, Chung J, Walker C, ACR Appropriateness Criteria Diffuse Lung Disease, American College of Radiology (2021) Available via https://acsearch.acr.org/docs/3157911/Narrative/. Accessed 13 February 2023
Elicker BM, Kallianos KG, Henry TS (2017) The role of high-resolution computed tomography in the follow-up of diffuse lung disease: number 2 in the Series “Radiology” Edited by Nicola Sverzellati and Sujal Desai. Eur Respir Rev 26:170008
Sundaram B, Chughtai AR, Kazerooni EA (2010) Multidetector high-resolution computed tomography of the lungs: protocols and applications. J Thorac Imaging 25:125–141
Ley-Zaporozhan J, Ley S (2014) HRCT-Technik mit Low-dose-Protokollen bei interstitiellen Lungenerkrankungen [HRCT technique with low-dose protocols for interstitial lung diseases]. Radiologe 54:1153–8
Kazerooni EA (2001) High-resolution CT of the lungs. AJR Am J Roentgenol 177:501–519
Shefer E, Altman A, Behling R et al (2013) State of the art of CT detectors and sources: a literature review. Curr Radiol Rep 1:76–91
Flohr T, Ulzheimer S, Petersilka M, Schmidt B (2020) Basic principles and clinical potential of photon-counting detector CT. Chinese J Acad Radiol 3:19–34
Martínez-Jiménez S, Rosado-de-Christenson ML, Carter BW (2017) Specialty imaging: HRCT of the lung. Elsevier
Willemink MJ, Persson M, Pourmorteza A, Pelc NJ, Fleischmann D (2018) Photon-counting CT: technical principles and clinical prospects. Radiology 289:293–312
Si-Mohamed SA, Miailhes J, Rodesch PA et al (2021) Spectral photon-counting CT technology in chest imaging. J Clin Med 10:1–18
Rajendran K, Petersilka M, Henning A et al (2022) First clinical photon-counting detector CT system: technical evaluation. Radiology 303:130–138
Goldman LW (2007) Principles of CT: radiation dose and image quality. J Nucl Med Technol 35:213–25
Bompoti A, Papazoglou AS, Moysidis DV et al (2021) Volumetric imaging of lung tissue at micrometer resolution: clinical applications of micro-CT for the diagnosis of pulmonary diseases. Diagnostics 11:2075
Milos RI, Röhrich S, Prayer F et al (2023) Ultrahigh-resolution photon-counting detector CT of the lungs: association of reconstruction kernel and slice thickness with image quality. AJR Am J Roentgenol 8:1–9
Mai C, Verleden SE, McDonough JE et al (2017) Thin-section CT features of idiopathic pulmonary fibrosis correlated with micro-CT and histologic analysis. Radiology 283:252–263
Zhou W, Montoya J, Gutjahr R et al (2017) Lung nodule volume quantification and shape differentiation with an ultra-high resolution technique on a photon-counting detector computed tomography system. J Med Imaging 4:043502
Kopp FK, Daerr H, Si-Mohamed S et al (2018) Evaluation of a preclinical photon-counting CT prototype for pulmonary imaging. Sci Rep 8:17386
Si-Mohamed SA, Greffier J, Miailhes J et al (2022) Comparison of image quality between spectral photon-counting CT and dual-layer CT for the evaluation of lung nodules: a phantom study. Eur Radiol 32:524–532
Bartlett DJ, Koo CW, Bartholmai BJ et al (2019) High-resolution chest computed tomography imaging of the lungs: impact of 1024 matrix reconstruction and photon-counting detector computed tomography. Invest Radiol 54:129–137
Ferda J, Vendiš T, Flohr T et al (2021) Computed tomography with a full FOV photon-counting detector in a clinical setting, the first experience. Eur J Radiol 137:109614
Inoue A, Johnson TF, White D et al (2022) Estimating the clinical impact of photon-counting-detector CT in diagnosing usual interstitial pneumonia. Invest Radiol 57:734–741
Graafen D, Emrich T, Halfmann MC et al (2022) Dose reduction and image quality in photon-counting detector high-resolution computed tomography of the chest: routine clinical data. J Thorac Imaging 37:315–322
Jungblut L, Euler A, von Spiczak J et al (2022) Potential of photon-counting detector CT for radiation dose reduction for the assessment of interstitial lung disease in patients with systemic sclerosis. Invest Radiol 57:773–779
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The scientific guarantor of this publication is Walter De Wever.
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Lesley Cockmartin, one of the authors, has significant statistical expertise and kindly provided statistical advice for this manuscript.
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Institutional Review Board approval was obtained. The Ethics Committee Research of University Hospitals Leuven approved the study.
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Van Ballaer, V., Dubbeldam, A., Muscogiuri, E. et al. Impact of ultra-high-resolution imaging of the lungs on perceived diagnostic image quality using photon-counting CT. Eur Radiol 34, 1895–1904 (2024). https://doi.org/10.1007/s00330-023-10174-5
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DOI: https://doi.org/10.1007/s00330-023-10174-5