Literature DB >> 2180986

Computer assisted diagnosis of fine needle aspirate of the breast.

H A Heathfield1, N Kirkham, I O Ellis, G Winstanley.   

Abstract

The development of the National Breast Screening Programme has created a demand for the widespread availability of fine needle aspiration cytology services. To meet this demand there must be a rapid increase in the number of pathologists and laboratories able to offer this service. In turn there is a need for improved training methods. The technique of fine needle aspiration cytology is not inherently complicated. The number of possible conclusions is essentially limited to four: unsatisfactory, benign, suspicious and malignant. A computer based expert system, designed to assist pathologists in the diagnosis of fine needle aspirates of the breast, has been developed. The system prompts pathologists to categorize a number of variables in the aspirate including nuclear and cytoplasmic features, and the degree of cellular cohesion, and uses these data to reason about possible conclusions. The final diagnosis is displayed with a detailed explanation listing the factors supporting it. Initial trials with this system have been encouraging and it is envisaged that this system will be of value both in training and as an aid to routine diagnosis.

Mesh:

Year:  1990        PMID: 2180986      PMCID: PMC502304          DOI: 10.1136/jcp.43.2.168

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  4 in total

1.  BIOPSY BY NEEDLE PUNCTURE AND ASPIRATION.

Authors:  H E Martin; E B Ellis
Journal:  Ann Surg       Date:  1930-08       Impact factor: 12.969

2.  Aspiration biopsy in diagnosis of palpable lesions of the breast. Critical review of 3479 consecutive biopsies.

Authors:  S Franzén; J Zajicek
Journal:  Acta Radiol Ther Phys Biol       Date:  1968-08

3.  Internist-1, an experimental computer-based diagnostic consultant for general internal medicine.

Authors:  R A Miller; H E Pople; J D Myers
Journal:  N Engl J Med       Date:  1982-08-19       Impact factor: 91.245

4.  Glaucoma consultation by computer.

Authors:  S Weiss; C A Kulikowski; A Safir
Journal:  Comput Biol Med       Date:  1978-01       Impact factor: 4.589

  4 in total
  3 in total

1.  Knowledge-based computer system to aid in the histopathological diagnosis of breast disease.

Authors:  H Heathfield; D Bose; N Kirkham
Journal:  J Clin Pathol       Date:  1991-06       Impact factor: 3.411

2.  Computer assisted selection and assessment of antibodies in the diagnosis of lymphomas.

Authors:  P J Harkin; S A Kelly; A S Jack
Journal:  J Clin Pathol       Date:  1990-10       Impact factor: 3.411

3.  Expert system support using Bayesian belief networks in the diagnosis of fine needle aspiration biopsy specimens of the breast.

Authors:  P W Hamilton; N Anderson; P H Bartels; D Thompson
Journal:  J Clin Pathol       Date:  1994-04       Impact factor: 3.411

  3 in total

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