Skip to main content
Log in

Impact of ultra-high-resolution imaging of the lungs on perceived diagnostic image quality using photon-counting CT

  • Chest
  • Published:
European Radiology Aims and scope Submit manuscript

A Commentary to this article was published on 06 September 2023

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

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

  1. 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

  2. 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

    Article  PubMed  PubMed Central  Google Scholar 

  3. Sundaram B, Chughtai AR, Kazerooni EA (2010) Multidetector high-resolution computed tomography of the lungs: protocols and applications. J Thorac Imaging 25:125–141

    Article  PubMed  Google Scholar 

  4. 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

    Article  CAS  PubMed  Google Scholar 

  5. Kazerooni EA (2001) High-resolution CT of the lungs. AJR Am J Roentgenol 177:501–519

    Article  CAS  PubMed  Google Scholar 

  6. 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

    Article  Google Scholar 

  7. 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

    Article  Google Scholar 

  8. Martínez-Jiménez S, Rosado-de-Christenson ML, Carter BW (2017) Specialty imaging: HRCT of the lung. Elsevier

    Google Scholar 

  9. Willemink MJ, Persson M, Pourmorteza A, Pelc NJ, Fleischmann D (2018) Photon-counting CT: technical principles and clinical prospects. Radiology 289:293–312

    Article  PubMed  Google Scholar 

  10. Si-Mohamed SA, Miailhes J, Rodesch PA et al (2021) Spectral photon-counting CT technology in chest imaging. J Clin Med 10:1–18

    Article  Google Scholar 

  11. Rajendran K, Petersilka M, Henning A et al (2022) First clinical photon-counting detector CT system: technical evaluation. Radiology 303:130–138

    Article  PubMed  Google Scholar 

  12. Goldman LW (2007) Principles of CT: radiation dose and image quality. J Nucl Med Technol 35:213–25

  13. 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

    Article  PubMed  PubMed Central  Google Scholar 

  14. 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

    Google Scholar 

  15. 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

    Article  PubMed  Google Scholar 

  16. 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

    Article  Google Scholar 

  17. 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

    Article  PubMed  PubMed Central  ADS  Google Scholar 

  18. 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

    Article  CAS  PubMed  Google Scholar 

  19. 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

    Article  PubMed  PubMed Central  Google Scholar 

  20. 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

    Article  PubMed  Google Scholar 

  21. 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

    Article  CAS  PubMed  Google Scholar 

  22. 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

    Article  PubMed  Google Scholar 

  23. 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

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Funding

The authors state that this work has not received any funding.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Valerie Van Ballaer.

Ethics declarations

Guarantor

The scientific guarantor of this publication is Walter De Wever.

Conflict of interest

The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

Statistics and biometry

Lesley Cockmartin, one of the authors, has significant statistical expertise and kindly provided statistical advice for this manuscript.

Informed consent

Written informed consent was obtained from all subjects (patients) in this study.

Ethical approval

Institutional Review Board approval was obtained. The Ethics Committee Research of University Hospitals Leuven approved the study.

Study subjects or cohorts overlap

No study subjects or cohort overlap reported.

Methodology

• combined prospective and retrospective

• observational study

• performed at one institution

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (PDF 97 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

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

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-023-10174-5

Keywords

Navigation