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Tytuł pozycji:

Direct access CT for suspicion of brain tumour: an analysis of referral pathways in a population-based patient group.

Tytuł:
Direct access CT for suspicion of brain tumour: an analysis of referral pathways in a population-based patient group.
Autorzy:
Zienius K; Translational Neurosurgery, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Chak-Lam I; University of Edinburgh Medical School, Edinburgh, UK.
Park J; University of Edinburgh Medical School, Edinburgh, UK.
Ozawa M; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Hamilton W; College of Medicine and Health, University of Exeter, Exeter, UK.
Weller D; Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
Summers D; Department of Neuroradiology, NHS Lothian, Western General Hospital, Edinburgh, UK.
Porteous L; North Berwick Group Practice, North Berwick, East Lothian, UK.
Mohiuddin S; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Keeney E; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Hollingworth W; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Ben-Shlomo Y; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Grant R; Department of Clinical Neurosciences, NHS Lothian, Western General Hospital, Edinburgh, UK.
Brennan PM; Translational Neurosurgery, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK. .; Department of Clinical Neurosciences, NHS Lothian, Western General Hospital, Edinburgh, UK. .
Źródło:
BMC family practice [BMC Fam Pract] 2019 Aug 20; Vol. 20 (1), pp. 118. Date of Electronic Publication: 2019 Aug 20.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
Język:
English
Imprint Name(s):
Original Publication: London : BioMed Central, [2000-2021]
MeSH Terms:
Neuroimaging*
Referral and Consultation*/organization & administration
Referral and Consultation*/standards
Tomography, X-Ray Computed*
Brain Neoplasms/*diagnostic imaging
Adolescent ; Adult ; Aged ; Aged, 80 and over ; Brain Neoplasms/diagnosis ; Female ; Humans ; Male ; Middle Aged ; Young Adult
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Contributed Indexing:
Keywords: Brain cancer; Brain tumor; CT scan; Early diagnosis of cancer; General practice; Primary health care
Entry Date(s):
Date Created: 20190822 Date Completed: 20200406 Latest Revision: 20200408
Update Code:
20240105
PubMed Central ID:
PMC6702708
DOI:
10.1186/s12875-019-1003-y
PMID:
31431191
Czasopismo naukowe
Background: 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.
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