Automatic patient centering in computed tomography: a systematic review and meta-analysis.

Autor: Hadi YH; Discipline of Medical Imaging and Radiation Therapy, School of Medicine, University College Cork, Cork, Ireland. hadi.y@umail.ucc.ie.; Department of Medical Imaging and Intervention, King Abdullah Medical City (KAMC), Makkah, Saudi Arabia. hadi.y@umail.ucc.ie., Keaney L; Discipline of Medical Imaging and Radiation Therapy, School of Medicine, University College Cork, Cork, Ireland., England A; Discipline of Medical Imaging and Radiation Therapy, School of Medicine, University College Cork, Cork, Ireland., Moore N; Discipline of Medical Imaging and Radiation Therapy, School of Medicine, University College Cork, Cork, Ireland., McEntee M; Discipline of Medical Imaging and Radiation Therapy, School of Medicine, University College Cork, Cork, Ireland.; Department of Regional Health Research, University of South Denmark, Odense, Denmark.; Faculty of Health Sciences, University of Sydney, Camperdown, NSW, Australia.
Jazyk: angličtina
Zdroj: European radiology [Eur Radiol] 2024 Nov 21. Date of Electronic Publication: 2024 Nov 21.
DOI: 10.1007/s00330-024-11170-z
Abstrakt: Objective: To comprehensively examine the influence of auto-patient centering technologies on positioning accuracy, radiation dose, image quality, and time efficiency of computed tomography (CT) scans.
Materials and Methods: A systematic search of peer-reviewed English publications was performed between January 2000 and November 2023 in PubMed, Embase, CINAHL, Scopus, and Web of Science. Two postgraduate students and an academic lecturer independently reviewed the articles to verify adherence to the inclusion criteria. The QUADAS-2 tool was employed to evaluate study quality. We derived summary estimates on positioning accuracy, radiation dose reduction, image quality, and time efficiency using proportion and meta-analysis methodologies.
Results: Nine studies were identified comparing automatic and manual CT positioning. Automatic positioning improved accuracy by reducing vertical offsets to 7 mm and 4 mm for thorax and abdominal CTs, compared to 19 mm and 18 mm with manual methods. Most studies showed significant reductions in radiation dose, ranging from 5.71 to 31%. Image quality results were mixed, automatic methods generally produced images with less noise, but differences were minimal. Time efficiency was better, with automatic positioning reducing preparation time from 0.48 min versus 0.67 min for manual positioning.
Conclusions: This review confirms that automatic patient-centering technologies enhance positioning accuracy and decrease preparation times in CT scans. While reductions in radiation doses and some improvements in image quality were observed, the evidence remains mixed. Findings support integrating these technologies into clinical practice to optimize patient care.
Key Points: Question Does automatic patient centering in CT enhance positioning accuracy, reduce radiation exposure, and improve image quality? Findings Findings indicate that automatic centering can optimize image quality, reduce examination times and contribute to overall improvements in imaging efficiency. Clinical relevance Automatic patient centering in CT improves positioning accuracy, minimizes radiation exposure, enhances image quality, and accelerates imaging workflows, contributing to safer, more efficient imaging procedures that benefit patient care.
Competing Interests: Compliance with ethical standards. Guarantor: The scientific guarantor of this publication is Professor Mark McEntee. Conflict of interest: The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article. Statistics and biometry: No complex statistical methods were necessary for this paper. Informed consent: Written informed consent was not required for this study because it is a systematic review and meta-analysis. Ethical approval: Institutional Review Board approval was not required because it is a systematic review and meta-analysis. Study subjects or cohorts overlap: We did not identify any direct overlap in the subjects or cohorts among the included studies. Methodology: Systematic literature review and meta-analysis
(© 2024. The Author(s), under exclusive licence to European Society of Radiology.)
Databáze: MEDLINE
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