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dc.contributor.authorSayed, M
dc.contributor.authorKnapp, KM
dc.contributor.authorFulford, J
dc.contributor.authorHeales, C
dc.contributor.authorAlqahtani, SJ
dc.date.accessioned2022-12-07T09:28:08Z
dc.date.issued2022-11-17
dc.date.updated2022-12-06T21:27:26Z
dc.description.abstractPURPOSE: An anti-scatter grid is often used in X-ray radiography to reduce the scattered X-rays generated from the patient. However, the presence of a grid means the patient dose subsequently increases. Recently,severalmanufacturers have developedsoftwarethat is capable of correctingfor scattered X-rays withouttheuse ofa conventional grid. This scoping review aims to systematically map the research assessing scattering correction software and to identify any existing knowledge gaps. METHODS: This scoping review involved conducting a systematic search in PubMed, Scopus, and Web of science to reveal studies that were relevant to the research question. Articles published between 01.01.2000 and 31.12.2021 examining X-ray scatter correction software for X-ray imaging were included. A part of the PRISMA model and PICO framework were utilised to establish eligibility criteria. A structured summary table was utilised to extract data from the selected articles. RESULTS: In this scoping review, 20 years of literature in X-ray conventional radiography. 11 articles were included in the data synthesis. The study populations of the included studies were varied: patients, image quality phantoms and anatomical phantoms. The clinical applications of X-ray scatter correction software were found to be limited to specific body parts (cervical spine, chest, shoulder, lumbar spine, hip and pelvis). The scatter correction software appears to be effective in terms of image quality and in reducing the radiation dose. However, the conventional grid still provides a higher image quality. CONCLUSIONS: X-ray scatter correction software can be effective and provides potentialbenefits for some circumstances or clinical scenarios.en_GB
dc.description.sponsorshipNajran Universityen_GB
dc.identifier.citationVol. 158, article 110600en_GB
dc.identifier.doihttps://doi.org/10.1016/j.ejrad.2022.110600
dc.identifier.urihttp://hdl.handle.net/10871/131971
dc.identifierORCID: 0000-0002-7360-0926 (Knapp, Karen M)
dc.identifierORCID: 0000-0003-2809-8102 (Heales, Christine)
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/36444818en_GB
dc.relation.urlhttp://osf.io/tha7yen_GB
dc.rights.embargoreasonUnder embargo until 17 November 2023 in compliance with publisher policyen_GB
dc.rights© 2022 Elsevier B.V. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/  en_GB
dc.subjectConventional X-rayen_GB
dc.subjectGriden_GB
dc.subjectImage qualityen_GB
dc.subjectRadiation doseen_GB
dc.subjectRadiographyen_GB
dc.subjectScatter correction softwareen_GB
dc.subjectScatter reductionen_GB
dc.subjectX-ray imagingen_GB
dc.titleThe principles and effectiveness of X-ray scatter correction software for diagnostic X-ray imaging: A scoping review.en_GB
dc.typeArticleen_GB
dc.date.available2022-12-07T09:28:08Z
dc.identifier.issn0720-048X
exeter.article-number110600
exeter.place-of-publicationIreland
dc.descriptionThis is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record en_GB
dc.descriptionRegistration and protocol: This scoping review was registered on the Open Science Framework. The protocol can be accessed through (osf.io/tha7y).en_GB
dc.identifier.eissn1872-7727
dc.identifier.journalEuropean Journal of Radiologyen_GB
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/ en_GB
dcterms.dateAccepted2022-11-06
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2022-11-17
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-12-07T09:24:08Z
refterms.versionFCDAM
refterms.panelAen_GB
refterms.dateFirstOnline2022-11-17


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© 2022 Elsevier B.V. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/  
Except where otherwise noted, this item's licence is described as © 2022 Elsevier B.V. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/