Influence of Ultra-Low-Dose CT on PET Image Quantification and Visual Assessment
Recent advances in high-sensitivity PET allow for significantly reduced radiation doses, making the CT radiation dose a larger fraction of the total scan dose. This is the first study to the best of our knowledge that evaluates the feasibility and efficacy of an ultra-low-dose CT (ULD-CT) protocol, incorporating a Sn filter, by reducing radiation exposure while maintaining PET image quality and quantitative accuracy in oncology patients. <b>Methods:</b> The study involved 29 oncology patients. FDG PET/CT scans were performed using both low-dose CT (LD-CT) and ULD-CT protocols. The ULD-CT protocol used the Sn filter with 100 kVp and 6 mAs, whereas the LD-CT protocol, optimized for PET attenuation correction and anatomic localization, was performed without the Sn filter, using 100-120 kVp and 12-30 mAs. Quantitative and qualitative comparisons of PET images were made, focusing on SUVs, Patlak analysis, and diagnostic quality on different tissues. <b>Results:</b> The ULD-CT protocol reduced the CT radiation dose by 97%, from 1.93 ± 0.61 mSv to 0.059 ± 0.026 mSv. SUV comparisons showed relative variations of less than 3%. The net rate of influx values resulting from the Patlak reconstruction showed negligible differences across various tissues between ULD-CT and LD-CT PET reconstructions. Image quality assessments revealed no significant differences between ULD-CT and LD-CT PET reconstructions, with consistently high scores (greater than 4 on a 5-point Likert scale). Lesion detection analysis showed strong intraobserver agreement (intraclass correlation coefficient > 0.85) without significant differences in lesion localization. <b>Conclusion:</b> The ULD-CT protocol substantially reduces radiation exposure in PET/CT while maintaining diagnostic quality of PET scans and introducing negligible quantitative effects, thereby paving the way for optimizing CT radiation protocols in PET/CT imaging.
Authors
- Riemer H. J. A. Slart (ORCID: https://orcid.org/0000-0002-5565-1164)
- Joyce van Sluis (ORCID: https://orcid.org/0000-0003-1908-4518)
- Johannes H. van Snick (ORCID: https://orcid.org/0009-0008-0417-1823)
- Gilles N. Stormezand (ORCID: https://orcid.org/0000-0002-1370-8791)
- Walter Noordzij (ORCID: https://orcid.org/0000-0001-6386-5499)
- Marcel J. W. Greuter (ORCID: https://orcid.org/0000-0001-5721-9159)
- Charalampos Tsoumpas (ORCID: https://orcid.org/0000-0002-4971-2477)
- Andor W.J.M. Glaudemans (ORCID: https://orcid.org/0000-0001-8081-0641)
- Adriaan A. Lammertsma (ORCID: https://orcid.org/0000-0003-1237-2891)
- Samaneh Mostafapour (ORCID: https://orcid.org/0000-0003-2525-8270)
- Adrienne H. Brouwers (ORCID: https://orcid.org/0000-0003-2698-1516)
- Rudi Dierckx
Institutions
- University Medical Center Groningen (NL)
- University of Groningen (NL)
Publication Details
- Journal
- Journal of Nuclear Medicine
- Published
- 2025-10-03
- DOI
- https://doi.org/10.2967/jnumed.124.269188
- Citations
- 1
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.36