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dc.contributor.authorZienius, K
dc.contributor.authorChak-Lam, I
dc.contributor.authorPark, J
dc.contributor.authorOzawa, M
dc.contributor.authorHamilton, W
dc.contributor.authorWeller, D
dc.contributor.authorSummers, D
dc.contributor.authorPorteous, L
dc.contributor.authorMohiuddin, S
dc.contributor.authorKeeney, E
dc.contributor.authorHollingworth, W
dc.contributor.authorBen-Shlomo, Y
dc.contributor.authorGrant, R
dc.contributor.authorBrennan, PM
dc.date.accessioned2019-10-29T15:48:30Z
dc.date.issued2019-08-20
dc.description.abstractBackground: Brain tumour patients see their primary care doctor on average three or more times before diagnosis, so there may be an opportunity to identify 'at risk' patients earlier. Suspecting a brain tumour diagnosis is difficult because brain tumour-related symptoms are typically non-specific. Methods: We explored the predictive value of referral guidelines (Kernick and NICE 2005) for brain imaging where a tumour is suspected, in a population-based patient group referred for direct access CT of the head. A consensus panel reviewed whether non-tumour findings were clinically important or whether further investigation was necessary. Results: Over a 5-year period, 3257 head scans were performed; 318 scans were excluded according to pre-specified criteria. 53 patients (1.8%) were reported to have intracranial tumours, of which 42 were significant (diagnostic yield of 1.43%). There were no false negative CT scans for tumour. With symptom-based referral guidelines primary care doctors can identify patients with a 3% positive predictive value (PPV). 559 patients had non-tumour findings, 31% of which were deemed clinically significant. In 34% of these 559 patients, referral for further imaging and/or specialist assessment from primary care was still thought warranted. Conclusion: Existing referral guidelines are insufficient to stratify patients adequately based on their symptoms, according to the likelihood that a tumour will be found on brain imaging. Identification of non-tumour findings may be significant for patients and earlier specialist input into interpretation of these images may be beneficial. Improving guidelines to better identify patients at risk of a brain tumour should be a priority, to improve speed of diagnosis, and reduce unnecessary imaging and costs. Future guidelines may incorporate groups of symptoms, clinical signs and tests to improve the predictive value.en_GB
dc.description.sponsorshipBrain Tumour Charityen_GB
dc.identifier.citationVol. 20, article 118en_GB
dc.identifier.doi10.1186/s12875-019-1003-y
dc.identifier.grantnumberGN000295en_GB
dc.identifier.urihttp://hdl.handle.net/10871/39385
dc.language.isoenen_GB
dc.publisherBMCen_GB
dc.rights© The Author(s) 2019. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.en_GB
dc.subjectBrain tumoren_GB
dc.subjectBrain canceren_GB
dc.subjectEarly diagnosis of canceren_GB
dc.subjectPrimary health careen_GB
dc.subjectGeneral practiceen_GB
dc.subjectCT scanen_GB
dc.titleDirect access CT for suspicion of brain tumour: An analysis of referral pathways in a population-based patient groupen_GB
dc.typeArticleen_GB
dc.date.available2019-10-29T15:48:30Z
dc.identifier.issn1471-2296
dc.descriptionThis is the final version. Available on open access from BMC via the DOI in this recorden_GB
dc.descriptionAvailability of data and materials: The dataset used during this study are available from the corresponding author in reasonable request.en_GB
dc.identifier.journalBMC Family Practiceen_GB
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2019-07-31
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-08-20
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-10-29T15:44:18Z
refterms.versionFCDVoR
refterms.dateFOA2019-10-29T15:48:35Z
refterms.panelAen_GB


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© The Author(s) 2019. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Except where otherwise noted, this item's licence is described as © The Author(s) 2019. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.