Presented at the International Society for Clinical Biostatistics, Nineteenth International Meeting, Dundee, U.K., August 1998.
Research Article
Diagnostic strategies for the histological examination of muscle biopsy specimens for the assessment of vasculitis in rheumatoid arthritis†
Article first published online: 13 DEC 2000
DOI: 10.1002/1097-0258(20001230)19:24<3433::AID-SIM647>3.0.CO;2-J
Copyright © 2000 John Wiley & Sons, Ltd.
Issue
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Statistics in Medicine
Special Issue: Papers from the International Meetings of the International Society for Clinical Biostatistics
Volume 19, Issue 24, pages 3433–3447, 30 December 2000
Additional Information
How to Cite
Zwinderman, A. H., Voskuyl, A. E., Schelhaas, D. D., van Duinen, S. G., van der Bas, J. M. and Hazes, J. M. H. (2000), Diagnostic strategies for the histological examination of muscle biopsy specimens for the assessment of vasculitis in rheumatoid arthritis. Statistics in Medicine, 19: 3433–3447. doi: 10.1002/1097-0258(20001230)19:24<3433::AID-SIM647>3.0.CO;2-J
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Publication History
- Issue published online: 13 DEC 2000
- Article first published online: 13 DEC 2000
- Manuscript Accepted:
- Manuscript Received:
- Abstract
- References
- Cited By
Abstract
For the diagnosis of rheumatoid vasculitis (RV), histological examination of a blindly-taken muscle biopsy is advocated.If fibrinoid necrosis (FN) is observed in one or more tissue sections of the biopsy the diagnosis of RV is confirmed. The diagnostic value of such histological investigation depends on the prevalence of FN in biopsies of RV patients, the number of tissue sections that are investigated, and the sampling design with which the tissue sections are obtained from the biopsy. In this paper we determine the mathematical relation between the sensitivity of the RV diagnosis and these three factors for four different models for the FN distribution in RV biopsies. The goodness-of-fit of these models was assessed by analysing 18 829 tissue sections of the biopsies of 56 patients, among which were 24 (otherwise histologically proven) RV patients. It appeared that the sensitivity was moderate: FN was observed in only 14 out of 24 (58 per cent) muscle biopsies of the RV patients. The prevalence of FN in the tissue sections of those 14 biopsies was low, about 17 per cent according to the best fitting model. We proved that the sampling design, maximizing the minimum distance between tissue sections (equidistant sampling) was optimal, and that with such optimal sampling, examination of about 20 tissue sections was sufficient. With practical sampling designs, however, considerably more tissue sections had to be inspected. FN appeared to cluster in the RV biopsies, and a first-order Markov model satisfactorily described the (auto)correlation between adjacent tissue sections in RV biopsies. Copyright © 2000 John Wiley & Sons, Ltd.

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