Oct 2026· European Radiology Cardiovascular and Thoracic· Vol 1· 0 citations· 16 references
TL;DR
Photon-counting detector CT showed superior subjective image quality, additional morphologic features in 34%–73% of subsolid nodules, and 12%–18% lower doses versus energy-integrating detector CT, and shows promise for improving pulmonary nodule visualization at reduced radiation doses.
Abstract
To systematically map the available evidence on pulmonary nodule visualization quality using photon-counting CT (PCD-CT). This scoping review followed JBI methodology and PRISMA-ScR reporting standards. MEDLINE/PubMed, Embase, and Scopus were searched from January 2021 to January 2026. Studies evaluating pulmonary nodule visualization in adults or ex vivo human specimens using PCD-CT were included. Two reviewers independently screened records and extracted data; consistent with scoping review methodology, no formal risk-of-bias assessment was performed. Five studies (six records; 318 patients, mean age range 56–69 years) and 20 cadaveric lungs met the inclusion criteria. All studies used the same PCD-CT platform. Image quality: same-day comparisons showed superior subjective image quality with PCD-CT at 12%–18% lower radiation doses (p < 0.001). Morphologic feature visualization: PCD-CT detected additional features in 34%–73% of subsolid nodules; ex vivo histological correlation demonstrated higher morphological concordance at 1024-matrix resolution. Nodule detection: ultra-low-dose PCD-CT maintained detection sensitivity of 0.94. PCD-CT shows promise for improving pulmonary nodule visualization at reduced radiation doses. Evidence remains limited to single-center studies without clinical outcome validation, precluding implementation recommendations. QuestionWhether photon-counting detector CT improves image quality and morphologic characterization of pulmonary nodules compared with energy-integrating detector CT remains insufficiently mapped. FindingsPhoton-counting detector CT showed superior subjective image quality, additional morphologic features in 34%–73% of subsolid nodules, and 12%–18% lower doses versus energy-integrating detector CT. Relevance statementIn single-center studies, photon-counting detector CT improved morphologic characterization of pulmonary nodules and reduced radiation exposure; clinical outcome validation is required before broad implementation.
Photon-counting detector CT (PCD-CT) acquires spectral data at every scan, enabling iodine map reconstruction without dedicated dual-energy protocols. This scoping review mapped the extent, characteristics, and findings of early clinical studies. Following the Joanna Briggs Institute framework and PRISMA-ScR reporting,...
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OBJECTIVES
To compare low-attenuation analysis (LAA) with visual scoring and explore their application in the detection of emphysema in low-dose CT (LDCT) scans.
METHODS
A random cohort of 352 CT examinations from health-check participants was selected from a lung cancer screening(LCS) dataset. Scans were evaluated f...
Hai-Lan Liu, Dai-Wei Han, M. Heuvelmans et al.· British Journal of Radiology· 0 citations
Substantial international variability in DRLs for adult CT examinations is identified, associated with differences in imaging practices, patient characteristics, available technology, and methodological approaches to DRL establishment.
A. Bani Yaseen, Jamie Trapp, Davide Fontanarosa· European Journal of Radiolog...· 0 citations
NALV obtained through quantitative CT analysis may be a useful prognostic biomarker for predicting two-year mortality in IPF patients, and may provide a valuable alternative for prognostic assessment, particularly in patients who exhibit limited ability to perform functional tests.
M. Koksal, M. Kurt, E. Parlak et al.· Polish Journal of Radiology· 0 citations
LD PCCT serves as a radiation-sparing alternative for quantitative disease assessment, with total disease burden showing good agreement with the SD protocol, offering a radiation-sparing alternative without compromising CT-physiology correlation.
Zhen-Chen Zhu, Ke-Pei Xu, Yi-Yun Pang et al.· European Radiology· 0 citations
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