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Evaluation of a CZT-based photon-counting detector CT prototype for low-dose lung cancer screening using patient-specific lung phantoms

Mei, K.; Roshkovan, L.; Halliburton, S. S.; Sharma, S.; Ross, S.; Yu, Z.; Thompson, R.; Liu, L. P.; Dhanaliwala, A. H.; Litt, H.; Noel, P. B.

2025-12-31 radiology and imaging
10.64898/2025.12.30.25343218 medRxiv
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ObjectivesTo evaluate the clinical performance of a cadmium-zinc-telluride-(CZT-) based photon-counting computed tomography (PCCT) system for low-dose lung cancer screening (LCS-LDCT) using patient-specific 3D-printed lung phantoms, and to compare its image quality and radiomics consistency with a conventional energy-integrating detector CT (EIDCT) system. MethodsSix 3D-printed lung phantoms, derived from patient CT datasets and representing various lesion types (solid, part-solid, and ground-glass), were imaged on PCCT and EIDCT scanners at matched dose levels (1.6 - 20.4 mGy). Quantitative image metrics, Hounsfield unit (HU) accuracy, image noise, and contrast-to-noise ratio (CNR), were assessed across dose levels. Radiomic features were extracted for each lesion and analyzed via principal component analysis to quantify feature consistency (within-cluster distance) and lesion type separability. ResultsPCCT demonstrated significantly lower image noise and higher CNR compared with EIDCT, particularly at lower dose levels. HU values were consistent across doses for both systems, with reduced variability in PCCT (coefficient of variation < 0.004). Radiomics analysis revealed tighter clustering (reduced within-cluster distances) and comparable lesion type separability between PCCT and EIDCT, indicating enhanced feature stability and lesion differentiation. Qualitative review confirmed superior lesion conspicuity and margin delineation with PCCT. ConclusionsCZT-based PCCT outperforms conventional EIDCT in quantitative and qualitative imaging metrics for LCS-LDCT, enabling superior image quality and radiomics reproducibility at reduced radiation doses. These findings support the clinical translation of PCCT for lung cancer screening and radiomics-based lesion characterization. Key pointsO_LIPCCT offers reduced image noise and improved CNR performance, especially at ultra-low doses. C_LIO_LIHU stability and radiomics reproducibility are enhanced with PCCT. C_LI Clinical relevance statementO_LIPCCT may enable further dose reduction without compromising diagnostic accuracy in LCS-LDCT. C_LI

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