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Acta Neuropathologica

, Volume 71, Issue 1–2, pp 130–135 | Cite as

Histopathological diagnosis of brain tumours with the help of a computer: mathematical fundaments and practical application

  • J. R. Iglesias
  • F. Pfannkuch
  • C. Aruffo
  • E. Kazner
  • J. Cervos-Navarro
Original Works

Summary

With the help of a personal computer we have subjected 1684 tumours of the central and peripheral nervous systems to a discriminant analysis to test whether the different brain tumours can be classified. By ascribing a coefficient value which belongs to a linear function to the objective criteria for each tumour these can be ordered in groups, and a classification is then possible. This has been termed discriminant analysis. Fifty histological characteristics were the criteria taken into consideration for each tumour. By using Bayes' formula with a correction for binomial distribution we obtained a correct diagnosis in 98% of the cases studied. The differential diagnosis with its percentage of probabilities is given by the computer. The mathematical fundaments are given. The valuability and precision of this method are discussed.

Key words

Brain tumours Histopathology Data-processing in medicine Computer assistance Discriminant analysis 

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Copyright information

© Springer-Verlag 1986

Authors and Affiliations

  • J. R. Iglesias
    • 1
  • F. Pfannkuch
    • 2
    • 3
  • C. Aruffo
    • 4
  • E. Kazner
    • 1
  • J. Cervos-Navarro
    • 4
  1. 1.Neurosurgical ClinicUniversity Clinic CharlottenburgBerlin 65
  2. 2.Department of PathologyUniversity Clinic CharlottenburgBerlin 65
  3. 3.Rudolf-Virchow-Hospital of the Free University BerlinBerlin 65
  4. 4.Institute of NeuropathologyUniversity Clinic Steglitz, Free University BerlinBerlin

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