Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-8880
Authors: Graafen, Dirk
Title: Dosis und Bildqualität der Photon-Counting HRCT der Lunge
Online publication date: 10-Mar-2023
Year of first publication: 2023
Language: english
Abstract: Purpose: Photon-counting detector computed tomography (PCD-CT) has the potential to significantly improve CT imaging in many ways including, but not limited to, low-dose high-resolution CT (HRCT) of the lung. The aim of this study was to perform an intrapatient com- parison of the radiation dose and image quality of PCD-CT compared with conventional energy-integrating detector CT (EID-CT). Methods: A total of 32 consecutive patients with available PCD-CT and EID-CT HRCT scans were included in the final analysis. The CT dose index (CTDIvol) was extracted from patient dose reports. Qualitative image analysis comprised the lung parenchyma and mediastinal struc- tures and was assessed by 3 readers using a 5-point Likert scale. Quan- titative image analysis included assessment of noise and signal-to-noise ratio in the lung parenchyma, trachea, aorta, muscle, and background. Results: The mean CTDIvol was 2.0 times higher in the conventional EID-CT scans (1.8 ± 0.5 mGy) compared with PCD-CT (0.9±0.5 mGy, P<0.001). The overall image quality was rated significantly better by all 3 raters (P < 0.001) in the PCD-CT relative to the EID-CT. Quantitative analysis showed no significant differ- ences in noise and signal-to-noise ratio in the lung parenchyma between PCD-CT and EID-CT. Conclusion: Compared with conventional EID-CT scans, PCD-CT demonstrated similar or better objective and subjective image quality at significantly reduced dose levels in an intrapatient com- parison. These results and their effect on clinical decision-making should be further investigated in prospective studies.
DDC: 610 Medizin
610 Medical sciences
Institution: Johannes Gutenberg-Universität Mainz
Department: FB 04 Medizin
Place: Mainz
ROR: https://ror.org/023b0x485
DOI: http://doi.org/10.25358/openscience-8880
URN: urn:nbn:de:hebis:77-openscience-ce64bdb1-3893-4609-b9d7-e2c501ec70eb0
Version: Original work
Publication type: Dissertation
License: In Copyright
Information on rights of use: http://rightsstatements.org/vocab/InC/1.0/
Extent: 16 Blatt ; Illustrationen, Diagramme
Appears in collections:JGU-Publikationen

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