Computerized case-based instructional system for computed tomography and magnetic resonance imaging of brain tumors

Robert T. Macura, Katarzyna J. Macura, Victor E. Toro, Eugene F. Binet, Jon H. Trueblood, Kai Ji

Research output: Contribution to journalEditorialpeer-review

Abstract

RATIONALE AND OBJECTIVES. A computerized system that applies the case-based approach to training radiologists to diagnose brain tumors was designed. The authors attempted to provide residents a tool that supports their visual memory and inducts case-based reasoning. METHODS. A relational database with a digital image library was implemented and incorporated into a computer aided instruction environment based on case presentation. An indexing system was structured around case features (case history and radiologic findings). “If-then” type rules were used to control the search direction within the case library and to generate lists of diagnostic hypotheses. The indexing system was evaluated against cases“known” to the system. RESULTS. The current case library consists of 122 cases with 640 digitized images (computed tomography and magnetic resonance imaging). The accuracy of retrieval for “known” to the system cases was 80.7%. CONCLUSIONS. A case library stored on a personal computer can be efficiently searched for a combination of radiologic findings and can offer quality images for comparison to the case in question. A case library is a source of the information that may be used by different teaching applications.

Original languageEnglish (US)
Pages (from-to)497-506
Number of pages10
JournalInvestigative radiology
Volume29
Issue number4
DOIs
StatePublished - Apr 1994
Externally publishedYes

Keywords

  • Brain tumors
  • Case-based reasoning
  • Computer-aided instruction
  • Neuroradiology

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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