Quantification of the global and local complexity of the epithelial-connective tissue interface of normal, dysplastic, and neoplastic oral mucosae using digital imaging

Rasha Abu Eid, Gabriel Landini

Research output: Contribution to journalArticle

46 Citations (Scopus)

Abstract

This study aimed at quantifying the complexity of the epithelial-connective tissue interface (ECTI) in human normal mucosa, premalignant, and malignant lesions using fractal geometry. Two approaches were used to describe the complexity of 377 oral mucosa ECTI profiles. The box counting method was used to estimate their global fractal dimension, while local fractal dimensions were estimated using the mass radius relation at various local scales. The ECTI complexity significantly increased from normal through premalignant to malignant profiles in both global and local (over 283 microm) scales. Normal mucosa samples from different sites of the oral cavity also had different degrees of global complexity. Fractal geometry is a useful morphological marker of tissue complexity changes taking place during epithelial malignancy and premalignancy, and we propose it as a quantitative marker of epithelial complexity.

Original languageEnglish
Pages (from-to)475-82
Number of pages8
JournalPathology, research and practice
Volume199
Issue number7
DOIs
Publication statusPublished - 2003

Fingerprint

Fractals
Mouth Mucosa
Connective Tissue
Epithelium
Mucous Membrane
Mouth
Neoplasms

Keywords

  • Biopsy
  • Carcinoma, Squamous Cell
  • Connective Tissue
  • Epithelium
  • Fractals
  • Humans
  • Image Processing, Computer-Assisted
  • Mouth Mucosa
  • Mouth Neoplasms
  • Precancerous Conditions
  • Reproducibility of Results
  • Signal Processing, Computer-Assisted
  • Journal Article

Cite this

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abstract = "This study aimed at quantifying the complexity of the epithelial-connective tissue interface (ECTI) in human normal mucosa, premalignant, and malignant lesions using fractal geometry. Two approaches were used to describe the complexity of 377 oral mucosa ECTI profiles. The box counting method was used to estimate their global fractal dimension, while local fractal dimensions were estimated using the mass radius relation at various local scales. The ECTI complexity significantly increased from normal through premalignant to malignant profiles in both global and local (over 283 microm) scales. Normal mucosa samples from different sites of the oral cavity also had different degrees of global complexity. Fractal geometry is a useful morphological marker of tissue complexity changes taking place during epithelial malignancy and premalignancy, and we propose it as a quantitative marker of epithelial complexity.",
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AU - Landini, Gabriel

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N2 - This study aimed at quantifying the complexity of the epithelial-connective tissue interface (ECTI) in human normal mucosa, premalignant, and malignant lesions using fractal geometry. Two approaches were used to describe the complexity of 377 oral mucosa ECTI profiles. The box counting method was used to estimate their global fractal dimension, while local fractal dimensions were estimated using the mass radius relation at various local scales. The ECTI complexity significantly increased from normal through premalignant to malignant profiles in both global and local (over 283 microm) scales. Normal mucosa samples from different sites of the oral cavity also had different degrees of global complexity. Fractal geometry is a useful morphological marker of tissue complexity changes taking place during epithelial malignancy and premalignancy, and we propose it as a quantitative marker of epithelial complexity.

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KW - Humans

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KW - Mouth Neoplasms

KW - Precancerous Conditions

KW - Reproducibility of Results

KW - Signal Processing, Computer-Assisted

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