Karyometric image analysis for intraepithelial and invasive cervical lesions

Francisco A Garcia, James Ranger-Moore, Bel Barker, John Davis, Molly Brewer, Jonathan Lozevski, Sajeet Vinyak, Yun Liu, Jon Yemane, Kenneth D Hatch, David S Alberts, Hubert G. Bartels, Peter H. Bartels

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

OBJECTIVE: To derive an objective, numeric measure for the progression of intraepithelial and invasive squamous cell cervical lesions. STUDY DESIGN: Thin-layer cervical cytology preparations from colposcopically confirmed normal cervix, low grade squamous intraepithelial lesions, high grade squamous intraepithelial lesions and carcinoma were identified from a cross-sectional study. Fifty-nine cases representing 4 diagnostic categories were selected, and 2,375 nuclei from epithelial cells representative of the diagnostic category were randomly selected for imaging and measurement from these cases. Additionally, 1,378 visually normal appearing intermediate cells from low and high grade squamous intraepithelial lesions, as well as from carcinoma cases, were identified for analysis. The nuclei were quantitatively characterized, and discriminant analyses were performed to derive a progression curve from normal cytology to carcinoma. RESULTS: The lesion signatures show a clear increase in nuclear abnormality with increasing progression. A progression curve was derived based on mean discriminant function scores for each diagnostic category and on the mean nuclear abnormality values for the nuclei in each category, as expressed by their deviation in feature values from normal reference nuclei. CONCLUSION: A numeric assessment of lesion progression for cervical precancerous and cancerous lesions based on karyometric measurements is possible and may provide an objective, precise characterization of each lesion as well as a basis for improved performance in automated cytology-based cervical cancer screening.

Original languageEnglish (US)
Pages (from-to)141-150
Number of pages10
JournalAnalytical and Quantitative Cytology and Histology
Volume26
Issue number3
StatePublished - Jun 2004

Fingerprint

Karyometry
Cell Biology
Reference Values
Epithelial Cells
Carcinoma
Carcinoma in Situ
Discriminant Analysis
Early Detection of Cancer
Cervix Uteri
Uterine Cervical Neoplasms
Squamous Cell Carcinoma
Cross-Sectional Studies
Squamous Intraepithelial Lesions of the Cervix

Keywords

  • Cervical cancer
  • Cervical dysplasia
  • Disease progression
  • Karyometry

ASJC Scopus subject areas

  • Anatomy
  • Histology
  • Cell Biology

Cite this

Garcia, F. A., Ranger-Moore, J., Barker, B., Davis, J., Brewer, M., Lozevski, J., ... Bartels, P. H. (2004). Karyometric image analysis for intraepithelial and invasive cervical lesions. Analytical and Quantitative Cytology and Histology, 26(3), 141-150.

Karyometric image analysis for intraepithelial and invasive cervical lesions. / Garcia, Francisco A; Ranger-Moore, James; Barker, Bel; Davis, John; Brewer, Molly; Lozevski, Jonathan; Vinyak, Sajeet; Liu, Yun; Yemane, Jon; Hatch, Kenneth D; Alberts, David S; Bartels, Hubert G.; Bartels, Peter H.

In: Analytical and Quantitative Cytology and Histology, Vol. 26, No. 3, 06.2004, p. 141-150.

Research output: Contribution to journalArticle

Garcia, FA, Ranger-Moore, J, Barker, B, Davis, J, Brewer, M, Lozevski, J, Vinyak, S, Liu, Y, Yemane, J, Hatch, KD, Alberts, DS, Bartels, HG & Bartels, PH 2004, 'Karyometric image analysis for intraepithelial and invasive cervical lesions', Analytical and Quantitative Cytology and Histology, vol. 26, no. 3, pp. 141-150.
Garcia FA, Ranger-Moore J, Barker B, Davis J, Brewer M, Lozevski J et al. Karyometric image analysis for intraepithelial and invasive cervical lesions. Analytical and Quantitative Cytology and Histology. 2004 Jun;26(3):141-150.
Garcia, Francisco A ; Ranger-Moore, James ; Barker, Bel ; Davis, John ; Brewer, Molly ; Lozevski, Jonathan ; Vinyak, Sajeet ; Liu, Yun ; Yemane, Jon ; Hatch, Kenneth D ; Alberts, David S ; Bartels, Hubert G. ; Bartels, Peter H. / Karyometric image analysis for intraepithelial and invasive cervical lesions. In: Analytical and Quantitative Cytology and Histology. 2004 ; Vol. 26, No. 3. pp. 141-150.
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