Literature DB >> 12889046

Fractal dimensions of breast lesions on cytology smears.

Pranab Dey1, Sambit K Mohanty.   

Abstract

In the present study, box-counting fractal dimensions of benign and malignant cells of breast tumors on cytology material were measured and compared. We selected fine-needle aspiration cytology smears of 14 cases of histopathology-proven infiltrating duct carcinomas and 7 cases of fibroadenoma of the breast. Five cells were randomly selected from each case. Box-counting fractal dimensions of all cells were measured with the help of an image cytometer (Leica, Cambridge, UK), using Quantimet 600 software (Leica). In total, 70 malignant cells and 35 benign cells were studied. The mean fractal dimensions of malignant cells and benign cells were 0.9571 +/- 0.1265 and 0.8354 +/- 0.1367, respectively. There was significant difference in the fractal dimension of malignant and benign cells (P = 0.006, Mann-Whitney nonparametric test). The measurement of fractal dimension may be helpful in discriminating malignant from benign cells. This may be another discriminating feature of malignant cells, along with classic image morphometry based on Euclidean geometry. Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 12889046     DOI: 10.1002/dc.10324

Source DB:  PubMed          Journal:  Diagn Cytopathol        ISSN: 1097-0339            Impact factor:   1.582


  6 in total

1.  Fractal analysis of contours of breast masses in mammograms.

Authors:  Rangaraj M Rangayyan; Thanh M Nguyen
Journal:  J Digit Imaging       Date:  2007-09       Impact factor: 4.056

2.  Digital pathology image analysis: opportunities and challenges.

Authors:  Anant Madabhushi
Journal:  Imaging Med       Date:  2009

3.  Multi-field-of-view framework for distinguishing tumor grade in ER+ breast cancer from entire histopathology slides.

Authors:  Ajay Basavanhally; Shridar Ganesan; Michael Feldman; Natalie Shih; Carolyn Mies; John Tomaszewski; Anant Madabhushi
Journal:  IEEE Trans Biomed Eng       Date:  2013-02-05       Impact factor: 4.538

4.  Fuzzy controller design for breast cancer treatment based on fractal dimension using breast thermograms.

Authors:  Maryam Arab Zade; Hamed Khodadadi
Journal:  IET Syst Biol       Date:  2019-02       Impact factor: 1.615

5.  Morphometic analysis of TCGA glioblastoma multiforme.

Authors:  Hang Chang; Gerald V Fontenay; Ju Han; Ge Cong; Frederick L Baehner; Joe W Gray; Paul T Spellman; Bahram Parvin
Journal:  BMC Bioinformatics       Date:  2011-12-20       Impact factor: 3.169

6.  The Goodness-of-fit of the Fractal Dimension as a Diagnostic Factor in Breast Cancer.

Authors:  Sotirios Maipas; Afroditi Nonni; Ekaterini Politi; Helen Sarlanis; Nikolaos G Kavantzas
Journal:  Cureus       Date:  2018-11-24
  6 in total

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