Nuclear Fractal Dimensions as a Tool for Prognostication of Oral Squamous Cell Carcinoma

Yinti, Shanmukha Raviteja; Natarajan, Srikant; Boaz, Karen; Lewis, Amitha J; Ashokkumar, Pandya Jay; Kapila, Supriya Nikita

doi:10.7860/jcdr/2015/12931.6837

Cited by 9 publications

(13 citation statements)

References 9 publications

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“…Yinti et al . [ 14 ] evaluated the NFD in OSCC using computer-aided image analysis. Histological sections of 14 selected cases of OSCC and six samples of normal buccal mucosa (as control) were stained with H and E and Feulgen stain for histopathological examination and evaluation of nuclear complexity, respectively.…”

Section: Discussionmentioning

confidence: 99%

Nuclear fractal dimension: A new objective approach for discriminating normal mucosa, dysplasia and carcinoma

Phulari

Rathore

Talegaon

2016

J Oral Maxillofac Pathol

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Background:Various clinical and histological factors have helped in predicting the survival of patients with oral squamous cell carcinoma (OSCC). However, there has been a need for more specialized diagnostic and prognostic factors to avoid subjective variation among opinion. Thus, fractal dimension (FD) can be used as an index of the morphological changes that the epithelial cells undergo during their transformation into neoplastic cell. In oral cancer study, nuclear FD (NFD) can be used as a quantitative index to discriminate between normal, dysplastic and neoplastic oral mucosa.Aim:To use nuclear fractal geometry to compare the morphometric complexity in the normal, epithelial dysplasia and OSCC cases and to verify the difference among the various histological grades of dysplasia and OSCC. It was fulfilled by estimating the FDs of the nuclear surface.Materials and Methods:Histopathologically diagnosed cases of epithelial dysplasia and OSCC were taken from the archives. Photomicrographs were captured with the help of Lawrence and Mayo research microscope. The images were then subjected to image analysis using the Image J software with FracLac plugin java 1.6 to obtain FDs. FD of ten selected nuclei was calculated using the box-counting algorithm.Statistical Analysis:was done using descriptive analysis, ANOVA and Tukey's honest significant difference post hoc tests with STATAIC-13 software.Results and Conclusion:NFD can provide valuable information to discriminate between normal mucosa, dysplasia and carcinoma objectively without subjective discrimination.

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Section: Discussionmentioning

confidence: 99%

Nuclear fractal dimension: A new objective approach for discriminating normal mucosa, dysplasia and carcinoma

Phulari

Rathore

Talegaon

2016

J Oral Maxillofac Pathol

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“…Fractal dimension is a term of fractal geometry that can be defined as a unitless measure of morphological complexity [3-5]. The box-counting dimension is the most popular and easiest to calculate the fractal dimension, and it can be computed for both fractal and non-fractal objects [3-4, 6-7]. Fractal analysis has been applied in the study of various malignant tumors, such as breast cancer, endometrial carcinoma, and oral and laryngeal cancer [4, 8-14].…”

Section: Introductionmentioning

confidence: 99%

“…The box-counting dimension is the most popular and easiest to calculate the fractal dimension, and it can be computed for both fractal and non-fractal objects [3-4, 6-7]. Fractal analysis has been applied in the study of various malignant tumors, such as breast cancer, endometrial carcinoma, and oral and laryngeal cancer [4, 8-14]. A large number of studies have found that the fractal dimension increases with the increase of malignancy, but there are also studies that have demonstrated the opposite relationship [4, 10, 15-16].…”

Section: Introductionmentioning

confidence: 99%

“…Fractal analysis has been applied in the study of various malignant tumors, such as breast cancer, endometrial carcinoma, and oral and laryngeal cancer [4, 8-14]. A large number of studies have found that the fractal dimension increases with the increase of malignancy, but there are also studies that have demonstrated the opposite relationship [4, 10, 15-16]. Herein, we calculate the nuclear box-counting fractal dimension of isolated malignant, benign, and normal breast cells in order to investigate its possible diagnostic importance.…”

Section: Introductionmentioning

confidence: 99%

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

Maipas¹,

Nonni²,

Politi³

et al. 2018

Cureus

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A large number of studies have found that the fractal dimension increases with the progression towards pathological or more pathological states, but there are also studies that have demonstrated the opposite relationship. In this study, we calculate the nuclear box-counting fractal dimension of 109 malignant, 113 benign, and 80 normal isolated breast cells in order to investigate its possible diagnostic importance. We computed the fractal dimension and its goodness-of-fit (i.e., the r-squared value that describes how well the regression line fits the set of the measurements) for two different sets of box size lengths. The statistical analysis did not confirm an important diagnostic potential of the nuclear fractal dimension of isolated breast cells. However, the goodness-of-fit did display a diagnostic potential. The r-squared value may be able to serve as a complementary diagnostic parameter.

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“…fractal Glenny et al, 1985;Theiler, 1990;Kenkel and Walker, 1993;1996;Cross, 1994;Sedivy and Windischberger, 1998;Klonowski, 2000;Tang, 2006 (Mecholsky et al, 1989;Obert et al, 1990;Cox and Wang, 1992;Goetze and Brickmann, 1992;Havlin et al, 1995;Byng et al, 1996;Cross, 1997;Issa et al, 2003;Shah et al, 2005;Tambasco and Magliocco, 2008;Yang et al, 2014;Yinti et al, 2015;Di Ieva, 2016a).…”

Section: Baba and Câtoimentioning

confidence: 99%

Μελέτη της διάστασης fractal των καρκινικών κυττάρων του μαστού

Μάιπας¹

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Η διάσταση fractal είναι ένας όρος της Γεωμετρίας Fractal, ο οποίος μπορεί να οριστεί ως ο αδιάστατος αριθμός που ποσοτικοποιεί την πολυπλοκότητα μιας υπό εξέταση δομής. Η διάσταση καταμέτρησης κιβωτίων (box-counting fractal dimension) είναι η πιο δημοφιλής διάσταση fractal, καθώς μπορεί να υπολογιστεί εύκολα τόσο σε φρακταλικά όσο και σε μη φρακταλικά αντικείμενα. Στη διεθνή βιβλιογραφία, συναντούμε ένα μεγάλο αριθμό ερευνών που έχουν διαπιστώσει ότι η διάσταση fractal είναι μεγαλύτερη σε παθολογικές καταστάσεις και σε κακοήθη νεοπλάσματα, αλλά και, επίσης, έναν αριθμό ερευνών που επιβεβαιώνουν την αντίθετη συσχέτιση. Στην παρούσα διδακτορική διατριβή, υπολογίσαμε την πυρηνική box-counting διάσταση fractal, εφαρμόζοντας τη μέθοδο καταμέτρησης κιβωτίων σε πυρηνικά περιγράμματα ενός μεγάλου αριθμού απομονωμένων κακοήθων, καλοήθων και φυσιολογικών κυττάρων μαστού. Η μέθοδος καταμέτρησης κιβωτίων που αξιοποιήσαμε καλύπτει το υπό εξέταση αντικείμενο με κιβώτια διαφορετικού μεγέθους και, αφού υπολογίσει τον ελάχιστο αριθμό κιβωτίων (Ν) του κάθε μεγέθους που απαιτείται για την κάλυψη του περιγράμματος, δημιουργεί σχετικό λογαριθμικό διάγραμμα μεταξύ του Ν και της κλίμακας ε (ε = μέγεθος κουτιού / μέγεθος εικόνας). Η κλίση της ευθείας παλινδρόμησης στο κάθε log-log διάγραμμα ισούται με τη box-counting διάσταση fractal και ο συντελεστής R2 (goodness-of-fit) δείχνει το πόσο καλά τα πειραματικώς μετρούμενα σημεία ταιριάζουν στην ευθεία. Πραγματοποιήσαμε μετρήσεις για διαφορετικά σετ μεγεθών κιβωτίου, χωρίς να μπορέσουμε να επιβεβαιώσουμε μία πιθανή διαγνωστική αξία της διάστασης fractal για την εξέταση απομονωμένων κυττάρων μαστού. Ωστόσο, η στατιστική ανάλυση έδειξε ότι ο συντελεστής R2 ενδεχομένως να μπορεί να αξιοποιηθεί ως ένας συμπληρωματικός διαγνωστικός παράγοντας για τον καρκίνο του μαστού.

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Nuclear Fractal Dimensions as a Tool for Prognostication of Oral Squamous Cell Carcinoma

Cited by 9 publications

References 9 publications

Nuclear fractal dimension: A new objective approach for discriminating normal mucosa, dysplasia and carcinoma

Nuclear fractal dimension: A new objective approach for discriminating normal mucosa, dysplasia and carcinoma

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

Μελέτη της διάστασης fractal των καρκινικών κυττάρων του μαστού

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