Nuclear fractal dimension in oral squamous cell carcinoma: a novel method for the evaluation of grading, staging, and survival

Mincione, Gabriella; Nicola, Marta Di; Marcantonio, Maria Carmela Di; Muraro, Raffælla; Piattelli, Adriano; Rubini, Corrado; Penitente, Enrico; Piccirilli, Marcello; Aprile, Giuseppe; Perrotti, Vittoria; Artese, Luciano

doi:10.1111/jop.12280

Cited by 15 publications

(10 citation statements)

References 14 publications

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“…In addition, fractal dimension (FD), which measures the extent of irregularity and complexity in nuclear structure has been associated with malignant, less differentiated tumors, and poor prognosis in many cancer types [10,[30][31][32][33][34]. Although there was no difference in FD between N0 and N+ groups, we observed a higher mean of FD in nuclei of poorly differentiated tumors.…”

Section: Discussionmentioning

confidence: 58%

Novel computational image analysis to predict regional nodal disease for early-stage oral cancer

Liu¹,

MacAulay²,

Chen³

et al. 2016

Otorhinolaryngol Head Neck Sur

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Objective: Nodal disease (N+) for early-stage oral squamous cell carcinoma (OSCC) is the most significant prognostic factor for survival. There is a lack of effective predictor to justify prophylactic neck dissection. Quantitative tissue pathology (QTP) has shown its promise in providing an objective means for diagnosis and prognosis of many cancer types. We conducted a pilot study on the utilization of QTP to evaluate risk of nodal disease. Study design: Retrospective case-control studySubjects and methods: Histological sections from 15 primary tumors of clinically node-negative (N0) patients were stained with Feulgen-Thionin followed by acquisition of digital images and image processing to measure the mean and variance of nuclear phenotype and tissue architecture features from 45,253 nuclei of 45 tumor nests. Association between features and nodal disease outcome (N0 or N+) was investigated using nested analysis of variance adjusted by patient. Ability to discriminate between N0 and N+ was analyzed using multivariate logistic regression and receiver operating characteristics (ROC) curve analysis. P-value<0.05 (2-sided) was considered significant. Results:The N+ group presented higher mean values of chromatin condensation levels and cell density compared to those of the N0 group. ROC curve showed a strong discriminative ability of chromatin condensation levels between the N+ and N0 groups with a sensitivity and specificity of 1.0 and 0.75, respectively. Conclusion:This study reports the first-ever data on QTP as a risk assessment tool for nodal disease in early-stage OSCCs. Such computational imaging analysis potentially provides a new objective approach to predict regional nodal disease.

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Section: Discussionmentioning

confidence: 58%

Novel computational image analysis to predict regional nodal disease for early-stage oral cancer

Liu¹,

MacAulay²,

Chen³

et al. 2016

Otorhinolaryngol Head Neck Sur

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“…Immunohistochemical techniques to date can also be used in the diagnostic framework of inflammatory diseases [15,16]. Together with traditional immunohistochemical techniques, alternative methods and specific markers for the classification of the pathology was used more frequently [17,18]. Specifically, in the histological findings cellular and nuclear anomalies can be found, mixed with tissue with ischemic necrosis and vascular destruction [14].…”

Section: Discussionmentioning

confidence: 99%

The usefulness of CBCT in early diagnosis of primary extra-nodal non-Hodgkin’s lymphoma in the mandible. A case report

Sinjari¹,

D’Addazio²,

Perfetti³

et al. 2019

Otorhinolaryngol Head Neck Sur

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Non-Hodgkin Lymphoma (NHL) is one of the rare malign diseases that can affect the oral cavity. In extranodal manifestations cranial bone could be affected by a massive destruction of bone tissue and invasion of the surrounding soft tissues. 3D radiology can help identifying suspicious lesions at an early stage and can support immunohistochemical examinations. Identifying clinically or radiologically these lesions and diagnosing them means saving patients' lives. A clinical case of extranodal oral NHL manifestation, with remission at 5 years of follow-up, identified due to a Cone Beam Computed Tomography (CBCT) examination will be presented.

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“…Mincione et al . [ 13 ] evaluated NFD values in different stages of OSCC and the correlations with clinicopathological variables and patient survival were investigated. Histological sections from OSCC and control nonneoplastic mucosa specimens were stained with H and E for pathological analysis and with Feulgen for nuclear evaluation.…”

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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Nuclear fractal dimension in oral squamous cell carcinoma: a novel method for the evaluation of grading, staging, and survival

Cited by 15 publications

References 14 publications

Novel computational image analysis to predict regional nodal disease for early-stage oral cancer

Novel computational image analysis to predict regional nodal disease for early-stage oral cancer

The usefulness of CBCT in early diagnosis of primary extra-nodal non-Hodgkin’s lymphoma in the mandible. A case report

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

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