Introduction
Pediatric lung imaging often requires clinicians to walk a tightrope between diagnostic clarity and radiation safety. Children are more radiosensitive than adults, and repeated imaging may increase long-term cancer risk. Yet when it comes to evaluating lung disease—whether for infection, congenital anomalies, or interstitial disease—CT remains a gold standard.
The challenge becomes even greater when young patients can’t hold their breath, requiring either sedation or risk of motion artifacts. High-pitch scanning and technological advancements have helped, but image quality has historically been compromised at ultra-low doses.
Now, photon-counting detector computed tomography (PCD-CT) is pushing those boundaries. Unlike traditional CT systems, PCD-CT directly counts individual X-ray photons, leading to better spatial resolution, lower noise, and improved dose efficiency.
In this blog, we break down a recent phantom study published in Pediatric Radiology, which investigates how low we can safely reduce dose during pediatric lung imaging without compromising diagnostic quality.
Paediatric High-Pitch Lung Imaging with Photon-Counting CT: A Dose Reduction Phantom Study
Study link: https://link.springer.com/article/10.1007/s00247-025-06235-0
What is Photon-Counting CT?
Photon-counting CT (PCD-CT) uses detectors that convert X-ray photons directly into digital signals. Compared to conventional energy-integrating detectors, PCDs offer:
Better spatial resolution
Reduced image noise
Improved contrast-to-noise ratio
Inherent spectral imaging capability
Enhanced dose efficiency
These benefits make PCD-CT especially promising in pediatrics, where dose minimization is critical.
Study Purpose
To determine the lowest radiation dose that still preserves diagnostic image quality in pediatric lung imaging using high-pitch PCD-CT, simulated in a chest phantom replicating a 5-year-old child.
Study Methodology
Phantom: Pediatric chest phantom simulating a 5-year-old child
Scanner: First-generation dual-source PCD-CT (Siemens NAEOTOM Alpha)
Scan modes: Standard and Ultra-High Resolution (UHR)
Pitch factor: 3.2 (for rapid scanning)
Radiation doses (CTDIvol): 0.45, 0.30, 0.15, 0.07, 0.01 mGy
Reconstruction: Quantum Iterative Reconstruction (QIR) at strengths 0, 2, and 4
Evaluation
Subjective: Two pediatric radiologists rated visibility of small structures
Objective: Global noise index and signal-to-noise ratio (SNR)
Results
Lowest Adequate Dose: Diagnostic image quality was preserved down to 0.07 mGy using QIR 4.
Scan Speed: Acquisition time was under 1 second in all modes (0.42 s standard, 0.84 s UHR), potentially eliminating the need for sedation.
Image Quality:
Ultra-high resolution mode consistently outperformed standard mode in both noise reduction and SNR.
QIR 4 reduced image noise by up to 73%.
Signal-to-noise ratio improved by nearly 3× compared to non-reconstructed images.
Clinical Takeaway
Photon-counting CT can achieve ultra-low-dose lung imaging (0.07 mGy) while preserving the ability to detect small peripheral structures. These findings may pave the way for:
Safer follow-up in chronic pediatric lung disease
Avoidance of sedation in young children
Imaging protocols that rival chest X-ray doses in radiation safety
Conclusion
This study showcases the power of photon-counting CT technology in pediatric imaging. Using high-pitch protocols, advanced iterative reconstruction, and ultra-high resolution modes, radiologists can now obtain diagnostic-quality lung images at doses once thought unimaginable.
While the study was limited to a phantom and one age-equivalent model, it provides a vital foundation. Future clinical validation could transform practice, offering a new gold standard for pediatric lung imaging.
ReferencesZellner M, Sartoretti T, Flohr T, Frauenfelder T, Alkadhi H, Kellenberger CJ, Mergen V. Paediatric high-pitch lung imaging with photon-counting detector computed tomography: a dose reduction phantom study. Pediatr Radiol. 2025 May;55(6):1191-1201. doi: 10.1007/s00247-025-06235-0. Epub 2025 Apr 15. PMID: 40229451; PMCID: PMC12119663.

