Title |
Simulated surgical-type cerebral biopsies from post-mortem brains allows accurate neuropathological diagnoses in the majority of neurodegenerative disease groups
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Published in |
Acta Neuropathologica Communications, August 2013
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DOI | 10.1186/2051-5960-1-53 |
Pubmed ID | |
Authors |
Andrew King, Satomi Maekawa, Istvan Bodi, Claire Troakes, Olimpia Curran, Keyoumars Ashkan, Safa Al-Sarraj |
Abstract |
In theory, cerebral biopsies could provide the diagnosis in a significant proportion of patients with neurodegenerative diseases, however, there are considerable ethical barriers. Previous series of cerebral biopsies have shown variable diagnostic accuracy but have understandably suffered because of lack of post-mortem tissue with which to compare the diagnosis. To determine the accuracy of such biopsies in neurodegenerative disease we took small biopsy-sized samples of predominantly fresh post-mortem brain tissue from frontal and temporal lobes in 62 cases. These were processed as for a biopsy and stained for H&E, p62, tau, Aβ, α-synuclein, and TDP-43. The sections were assessed blind by 3 neuropathologists and the results compared with the final post-mortem diagnosis. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 3% |
United States | 1 | 3% |
Unknown | 30 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 5 | 16% |
Student > Bachelor | 4 | 13% |
Professor > Associate Professor | 4 | 13% |
Professor | 3 | 9% |
Student > Ph. D. Student | 3 | 9% |
Other | 5 | 16% |
Unknown | 8 | 25% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 7 | 22% |
Neuroscience | 5 | 16% |
Biochemistry, Genetics and Molecular Biology | 3 | 9% |
Nursing and Health Professions | 3 | 9% |
Agricultural and Biological Sciences | 2 | 6% |
Other | 4 | 13% |
Unknown | 8 | 25% |