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Logistic regression analysis of low grade spindle cell lesions. A cytologic study.

Publication ,  Journal Article
Liu, K; Dodge, RK; Dodd, LG; Layfield, LJ
Published in: Acta Cytol
1999

OBJECTIVE: To identify key diagnostic cytologic criteria for various low grade spindle cell lesions. STUDY DESIGN: We reviewed 20 synovial sarcomas, 18 benign neural tumors, 10 reparative lesions, 24 other benign and 27 additional malignant low grade spindle cell lesions. All specimens were coded as to the presence or absence of the following variables: high cellularity, tissue fragments, tissue culture appearance, epithelial fragments, vessel fragments, vascular arcades, fibrillar ground substance, myxoid background, microcystic areas, parallel arrangement of nuclei, naked nuclei, single cells, binucleate cells, multinucleate cells, long filamentous cells, short spindle cells, stellate cells, lipoblasts, nuclear pleomorphism, nuclei with pointed ends, comma/fishhook nuclei, cigar-shaped nuclei, ovoid/round nuclei, small nucleoli, large nucleoli, mitotic figures, intranuclear vacuoles and background histiocytes. A logistic regression analysis was performed to identify the variables predictive of malignant lesions, specifically synovial sarcomas, benign neural tumors and reparative lesions. RESULTS: Statistical analysis selected high cellularity, short spindle cells, small nucleoli and absence of tissue culture appearance as the main criteria for malignant neoplasms. Tissue fragments and high cellularity were selected as the primary criteria and absence of long filamentous cells and of myxoid background as the secondary criteria for synovial sarcomas. It selected fibrillar ground substance and absence of ovoid/round nuclei as the key criteria for benign neural tumors. The presence of a tissue culture appearance was the major criterion for reparative lesions. CONCLUSION: There are many previously described cytologic criteria, but we found that when subjected to statistical analysis, only a few features were significant in the evaluation of low grade spindle cell lesions.

Duke Scholars

Published In

Acta Cytol

DOI

ISSN

0001-5547

Publication Date

1999

Volume

43

Issue

2

Start / End Page

143 / 152

Location

Switzerland

Related Subject Headings

  • Sensitivity and Specificity
  • Sarcoma, Synovial
  • Sarcoma
  • Pathology
  • Neurilemmoma
  • Neoplasms, Nerve Tissue
  • Mitosis
  • Logistic Models
  • Humans
  • Hemangioma
 

Citation

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Liu, K., Dodge, R. K., Dodd, L. G., & Layfield, L. J. (1999). Logistic regression analysis of low grade spindle cell lesions. A cytologic study. Acta Cytol, 43(2), 143–152. https://doi.org/10.1159/000330968
Liu, K., R. K. Dodge, L. G. Dodd, and L. J. Layfield. “Logistic regression analysis of low grade spindle cell lesions. A cytologic study.Acta Cytol 43, no. 2 (1999): 143–52. https://doi.org/10.1159/000330968.
Liu K, Dodge RK, Dodd LG, Layfield LJ. Logistic regression analysis of low grade spindle cell lesions. A cytologic study. Acta Cytol. 1999;43(2):143–52.
Liu, K., et al. “Logistic regression analysis of low grade spindle cell lesions. A cytologic study.Acta Cytol, vol. 43, no. 2, 1999, pp. 143–52. Pubmed, doi:10.1159/000330968.
Liu K, Dodge RK, Dodd LG, Layfield LJ. Logistic regression analysis of low grade spindle cell lesions. A cytologic study. Acta Cytol. 1999;43(2):143–152.
Journal cover image

Published In

Acta Cytol

DOI

ISSN

0001-5547

Publication Date

1999

Volume

43

Issue

2

Start / End Page

143 / 152

Location

Switzerland

Related Subject Headings

  • Sensitivity and Specificity
  • Sarcoma, Synovial
  • Sarcoma
  • Pathology
  • Neurilemmoma
  • Neoplasms, Nerve Tissue
  • Mitosis
  • Logistic Models
  • Humans
  • Hemangioma