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Related Experiment Videos

Needle aspiration biopsy: past, present, and future.

W J Frable1

  • 1Department of Pathology, Virginia Commonwealth University, Medical College of Virginia, Richmond 23298.

Human Pathology
|June 1, 1989
PubMed
Summary

Needle aspiration biopsy, a key diagnostic tool, relies on pattern recognition for accuracy. Its clinical outcomes and integration with biologic research highlight its importance in modern medicine.

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Area of Science:

  • Oncology
  • Pathology
  • Medical Diagnostics

Background:

  • Needle aspiration biopsy (NAB) has evolved significantly over 50 years.
  • Early contributions emphasized clinician-pathologist collaboration and individual cell interpretation.
  • Modern diagnostic success relies heavily on pattern recognition in aspiration smears.

Purpose of the Study:

  • To review the historical development and current standing of needle aspiration biopsy.
  • To highlight the importance of image quality and diagnostic standards in aspiration cytology.
  • To explore the integration of NAB with advanced biologic research and potential AI applications.

Main Methods:

  • Review of historical data and clinical practices in aspiration biopsy.
  • Emphasis on pattern recognition over technical variations in smear preparation and staining.
  • Proposal for evaluating diagnostic reliability through clinical outcomes.

Main Results:

  • Pattern recognition is crucial for successful diagnosis via aspiration biopsy smears.
  • Diagnostic reliability of aspiration smears should be assessed using reproducible standards, potentially including clinical outcomes.
  • NAB facilitates integration with cell image analysis, flow cytometry, ploidy studies, and gene rearrangement analysis.

Conclusions:

  • Needle aspiration biopsy is a vital technique, with pattern recognition being key to accurate diagnosis.
  • The method's reliability can be judged by clinical outcomes, similar to tissue pathology.
  • NAB is at the forefront of integrating biologic research with clinical medicine and may inform AI diagnostic systems.

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