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©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Radiol. Nov 28, 2024; 16(11): 668-677
Published online Nov 28, 2024. doi: 10.4329/wjr.v16.i11.668
Published online Nov 28, 2024. doi: 10.4329/wjr.v16.i11.668
Ultra-low-dose chest computed tomography with model-based iterative reconstruction in the analysis of solid pulmonary nodules: A prospective study
Patrick W O'Regan, Niamh Moore, David J Ryan, Michael M Maher, Department of Radiology, School of Medicine, University College Cork, Cork T12 AK54, Ireland
Antonia Harold-Barry, Alexander T O'Mahony, Stella Joyce, Owen J O'Connor, Michael M Maher, Department of Radiology, Cork University Hospital, Cork T12 DC4A, Ireland
Claire Crowley, Department of Radiology, Mercy University Hospital, Cork T12WE28, Ireland
Michael T Henry, Department of Respiratory Medicine, Cork University Hospital, Cork T12 DC4A, Ireland
Author contributions: Maher MM and Henry M designed the research study; O’Regan PW, Harrold-Barry A, O’Mahony AT, Crowley C, Joyce S, Moore N, O’Connor OJ and Ryan DJ collected and assembled the data; O’Regan PW, Harrold-Barry A and O’Mahony AT analysed the data and wrote the manuscript; Ryan DJ, Henry M and Maher MM supervised the study; all authors have read and agreed to the published version of the manuscript.
Institutional review board statement: The study was reviewed and approved by the Clinical Research and Ethics Committee Institutional Review Board (Approval No.ECM4(g)1/3/16 & ECM3(nnnn)9/3/21).
Clinical trial registration statement: This small prospective trial was registered with the local ethics institutional review board. Original approval PDF attached. It was not required to register the study with another governing body (i.e. an additional Clinical Trial Registration Statement is not applicable).
Informed consent statement: All study participants, or their legal guardian, provided informed written consent prior to study enrollment.
Conflict-of-interest statement: The authors declare no conflict of interest.
Data sharing statement: The datasets generated and analysed during the current study are available from the corresponding author on reasonable request.
CONSORT 2010 statement: The authors have read the CONSORT 2010 statement, and the manuscript was prepared and revised according to the CONSORT 2010 statement.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Patrick W O'Regan, Doctor, MBChB, MSc, Research Fellow, Depart ment of Radiology, School of Medicine, University College Cork, College Road, Cork T12 AK54, Ireland. patrickoregan@ucc.ie
Received: June 19, 2024
Revised: October 10, 2024
Accepted: November 12, 2024
Published online: November 28, 2024
Processing time: 160 Days and 19.5 Hours
Revised: October 10, 2024
Accepted: November 12, 2024
Published online: November 28, 2024
Processing time: 160 Days and 19.5 Hours
Core Tip
Core Tip: Recent advancements in computed tomography (CT) hardware and software have facilitated the development of ultra-low-dose imaging protocols that have the potential to significantly reduce radiation dose while, crucially, maintaining image quality and diagnostic integrity. Previously identified indeterminate solid pulmonary nodules may be effectively monitored with ultra-low-dose CT chest with the added benefit of a large reduction in radiation dose.