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Nuclear diameters of breast cancer cells in tissue sections

Analytical and Quantitative Cytology
|March 1, 1980
PubMed

Insights

Histologic processing shrinks breast cancer cell nuclei, requiring a 1.55x correction factor for accurate diameter comparison. Most tumors showed a predominance of small nuclei, with some cases exhibiting a significant proportion of large nuclei.

Area of Science:

  • Oncology
  • Pathology
  • Cytology

Background:

  • Accurate measurement of nuclear diameters in breast cancer is crucial for diagnosis and prognosis.
  • Histological processing of tissue samples can lead to significant cellular shrinkage and structural distortion.
  • Comparing nuclear morphology between cytologic and histologic specimens requires careful consideration of processing artifacts.

Purpose of the Study:

  • To quantify nuclear diameter changes in breast cancer cells due to histological processing.
  • To determine a correction factor for comparing nuclear diameters between cytologic and tissue sections.
  • To evaluate the prevalence of different nuclear size categories in breast cancer.

Main Methods:

  • Nuclear diameters of breast cancer cells were measured on histological tissue sections from 100 cases.
  • The study analyzed the degree of shrinkage and distortion caused by histological processing.
  • A correction factor was derived for comparing nuclear diameters between cytologic and tissue specimens.

Main Results:

  • Histological processing resulted in significant shrinkage and distortion of cell nuclei.
  • A correction factor of 1.55x was established for comparing nuclear diameters.
  • "Small nuclei only" was not observed; however, 19% of tumors showed a "small nuclear type predominance".
  • Twelve percent of cases met the criteria for "more than 30% large nuclei" after applying the correction factor.

Conclusions:

  • A correction factor of 1.55x is essential for accurate comparison of nuclear diameters between cytologic and tissue sections in breast cancer.
  • Histological artifacts significantly impact nuclear size measurements, necessitating adjustments for reliable diagnostic interpretation.
  • Understanding nuclear size distribution, adjusted for processing artifacts, aids in classifying breast cancer subtypes.

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