Nuclear Fractal Dimensions as a Tool for Prognostication of Oral Squamous Cell Carcinoma
Background: Carcinogenesis follows complex molecular alterations, which are triggered by subtle chromatin architectural changes that are imperceptible to the human eye. As the treatment decisions in Oral Squamous Cell Carcinoma (OSCC) are hindered by the imprecise clinical stage determination an...
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JCDR Research and Publications Private Limited
2015-11-01
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| Series: | Journal of Clinical and Diagnostic Research |
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| Online Access: | https://jcdr.net/articles/PDF/6837/12931_CE[Ra1]_F(AK)_PF1(PAK)_PFA(AK)_PF2(PAG).pdf |
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| author | Shanmukha Raviteja Yinti Srikant N. Karen Boaz Amitha J Lewis Pandya Jay Ashokkumar Supriya Nikita Kapila |
| author_facet | Shanmukha Raviteja Yinti Srikant N. Karen Boaz Amitha J Lewis Pandya Jay Ashokkumar Supriya Nikita Kapila |
| author_sort | Shanmukha Raviteja Yinti |
| collection | DOAJ |
| description | Background: Carcinogenesis follows complex molecular
alterations, which are triggered by subtle chromatin architectural
changes that are imperceptible to the human eye. As the
treatment decisions in Oral Squamous Cell Carcinoma (OSCC)
are hindered by the imprecise clinical stage determination and
inter-observer variability in histological grading, focus in recent
years has shifted to discovering identifiers related to neoplastic
cell morphology studied through computer-aided image analysis.
One such approach is the assessment of fractal geometry, a
technique first described by Mandelbrot, which aids in precise
assessment of architecture of natural objects. Assessment and
quantification of degree of complexity of these fractal objects
(self-similarities in structural complexity at different magnifying
scales) is described as fractal dimension (FD).
Aim: To evaluate the nuclear fractal dimension (NFD) in OSCC
using computer-aided image analysis.
Materials and Methods: Histological sections of 14 selected
cases of Oral Squamous Cell Carcinoma (OSCC) and 6 samples
of normal buccal mucosa (as control) were stained with
Haematoxylin-Eosin and Feulgen stain for histopathological
examination and evaluation of nuclear complexity respectively.
Fifteen HPF at Invasive Tumour Front (ITF) and Tumour
Proper (TP) of Feulgen-stained sections were selected and
photographed in test and control samples. At ITF, TP and normal
buccal mucosa 200 nuclei each were selected and analyzed
using Image J software to quantify FD. The test and control
groups were compared statistically using Independent sample
t-test and One-way ANOVA.
Results: Nuclear FD increased progressively towards worst
tumour staging as compared to normal buccal mucosa.
Conclusion: Nuclear FD can be considered for quantification
of nuclear architectural changes as a prognostic indicator in
OSCC. |
| first_indexed | 2024-12-21T02:05:02Z |
| format | Article |
| id | doaj.art-95304306fe214e848358c6f15d436463 |
| institution | Directory Open Access Journal |
| issn | 2249-782X 0973-709X |
| language | English |
| last_indexed | 2024-12-21T02:05:02Z |
| publishDate | 2015-11-01 |
| publisher | JCDR Research and Publications Private Limited |
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| series | Journal of Clinical and Diagnostic Research |
| spelling | doaj.art-95304306fe214e848358c6f15d4364632022-12-21T19:19:32ZengJCDR Research and Publications Private LimitedJournal of Clinical and Diagnostic Research2249-782X0973-709X2015-11-01911EC21EC2510.7860/JCDR/2015/12931.6837Nuclear Fractal Dimensions as a Tool for Prognostication of Oral Squamous Cell CarcinomaShanmukha Raviteja Yinti0Srikant N.1Karen Boaz2Amitha J Lewis3Pandya Jay Ashokkumar4Supriya Nikita Kapila5Postgraduate, Department of Oral Pathology and Microbiology, Manipal College of Dental Sciences, Manipal University, Light House Hill Road, Mangalore, India.Additional Professor, Department of Oral Pathology and Microbiology, Manipal College of Dental Sciences, Manipal University, Light House Hill Road, Mangalore, India.Professor and Head, Department of Oral Pathology and Microbiology, Manipal College of Dental Sciences, Manipal University, Light House Hill Road, Mangalore, India.Associate Professor, Department of Oral Pathology and Microbiology, Manipal College of Dental Sciences, Manipal University, Light House Hill Road, Mangalore, India.Postgraduate, Department of Oral Pathology and Microbiology, Manipal College of Dental Sciences, Manipal University, Light House Hill Road, Mangalore, India.Postgraduate, Department of Oral Pathology and Microbiology, Manipal College of Dental Sciences, Manipal University, Light House Hill Road, Mangalore, India.Background: Carcinogenesis follows complex molecular alterations, which are triggered by subtle chromatin architectural changes that are imperceptible to the human eye. As the treatment decisions in Oral Squamous Cell Carcinoma (OSCC) are hindered by the imprecise clinical stage determination and inter-observer variability in histological grading, focus in recent years has shifted to discovering identifiers related to neoplastic cell morphology studied through computer-aided image analysis. One such approach is the assessment of fractal geometry, a technique first described by Mandelbrot, which aids in precise assessment of architecture of natural objects. Assessment and quantification of degree of complexity of these fractal objects (self-similarities in structural complexity at different magnifying scales) is described as fractal dimension (FD). Aim: To evaluate the nuclear fractal dimension (NFD) in OSCC using computer-aided image analysis. Materials and Methods: Histological sections of 14 selected cases of Oral Squamous Cell Carcinoma (OSCC) and 6 samples of normal buccal mucosa (as control) were stained with Haematoxylin-Eosin and Feulgen stain for histopathological examination and evaluation of nuclear complexity respectively. Fifteen HPF at Invasive Tumour Front (ITF) and Tumour Proper (TP) of Feulgen-stained sections were selected and photographed in test and control samples. At ITF, TP and normal buccal mucosa 200 nuclei each were selected and analyzed using Image J software to quantify FD. The test and control groups were compared statistically using Independent sample t-test and One-way ANOVA. Results: Nuclear FD increased progressively towards worst tumour staging as compared to normal buccal mucosa. Conclusion: Nuclear FD can be considered for quantification of nuclear architectural changes as a prognostic indicator in OSCC.https://jcdr.net/articles/PDF/6837/12931_CE[Ra1]_F(AK)_PF1(PAK)_PFA(AK)_PF2(PAG).pdfimage analysisprognostic indicatorsarkar box counting method |
| spellingShingle | Shanmukha Raviteja Yinti Srikant N. Karen Boaz Amitha J Lewis Pandya Jay Ashokkumar Supriya Nikita Kapila Nuclear Fractal Dimensions as a Tool for Prognostication of Oral Squamous Cell Carcinoma Journal of Clinical and Diagnostic Research image analysis prognostic indicator sarkar box counting method |
| title | Nuclear Fractal Dimensions as a Tool for Prognostication of Oral Squamous Cell Carcinoma |
| title_full | Nuclear Fractal Dimensions as a Tool for Prognostication of Oral Squamous Cell Carcinoma |
| title_fullStr | Nuclear Fractal Dimensions as a Tool for Prognostication of Oral Squamous Cell Carcinoma |
| title_full_unstemmed | Nuclear Fractal Dimensions as a Tool for Prognostication of Oral Squamous Cell Carcinoma |
| title_short | Nuclear Fractal Dimensions as a Tool for Prognostication of Oral Squamous Cell Carcinoma |
| title_sort | nuclear fractal dimensions as a tool for prognostication of oral squamous cell carcinoma |
| topic | image analysis prognostic indicator sarkar box counting method |
| url | https://jcdr.net/articles/PDF/6837/12931_CE[Ra1]_F(AK)_PF1(PAK)_PFA(AK)_PF2(PAG).pdf |
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