A study of complexity of oral mucosa using fractal geometry

Shenoi, S. R.; Peshwani, Payal; Garg, Anup; Moharil, Rohit

doi:10.4103/ijdr.ijdr_738_16

Cited by 4 publications

(2 citation statements)

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“…Similar results were obtained from Shenoi et al . [ 24 ] and Deepak[ 25 ] studies where tissues with higher dysplasia showed higher FD values as compared to tissues with lesser dysplasia. Goutzenis confirmed that the value of nuclear FD is less in normal mucosa and stage I carcinoma.…”

Section: Discussionmentioning

confidence: 99%

Role of fractal analysis in detection of dysplasia in potentially malignant disorders

Iqbal

Patil

Khanna

et al. 2020

J Family Med Prim Care

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Background: Fractal analysis is, a noninvasive method, used to determine the intricate characteristics of the matter. Oral leukoplakia (OL), a potential malignant disorder, has definite propensity to turn in to malignancy. In such lesions, fractal dimension analysis (FDA) could be helpful in the early detection of malignant transformation. Objectives: To determine the efficacy of fractal dimension analysis in detecting malignancy potential of oral leukoplakia. Materials and Methods: After ethical clearance, we enrolled 121 patients in our study. Lesions were photographed before and after toluidine staining. Image J software was used to analyze fractal dimensions (FDs) of digital image and results were compared with biopsy. Results: Fractal dimension value is significantly higher in leukoplakia with dysplastic changes. FD values increase as age of patients increases. FD value in leukoplakia with different tobacco products showed more positive correlation with surti/khaini abusers. Conclusion: Fractal dimension analysis is a useful method in determination of complication in OL cases and can be used as an effective, noninvasive screening tool at primary healthcare centers for early intervention.

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Section: Discussionmentioning

confidence: 99%

Role of fractal analysis in detection of dysplasia in potentially malignant disorders

Iqbal

Patil

Khanna

et al. 2020

J Family Med Prim Care

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“… 214 reported that FD, based on time-resolved autofluorescence spectra, achieved 86% specificity and 100% sensitivity in distinguishing carcinoma from healthy oral tissues. Moreover, a 2017 study established FD as a novel tool for differentiating normal tissue from dysplastic and neoplastic tissue, suggesting that fractal geometry holds promise in studying both physiological and pathological changes in the oral mucosa 215 .…”

Section: Assessment Of Head and Neck Squamous Cell Carcinoma Marginsmentioning

confidence: 99%

Surgical margins in head and neck squamous cell carcinoma: a narrative review

Chen,

Zhong,

Cao

et al. 2024

International Journal of Surgery

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Head and neck squamous cell carcinoma (HNSCC), a prevalent and frequently recurring malignancy, often necessitates surgical intervention. The surgical margin (SM) plays a pivotal role in determining the postoperative treatment strategy and prognostic evaluation of HNSCC. Nonetheless, the process of clinical appraisal and assessment of the SMs remains a complex and indeterminate endeavor, thereby leading to potential difficulties for surgeons in defining the extent of resection. In this regard, we undertake a comprehensive review of the suggested surgical distance in varying circumstances, diverse methods of margin evaluation, and the delicate balance that must be maintained between tissue resection and preservation in head and neck surgical procedures. This review is intended to provide surgeons with pragmatic guidance in selecting the most suitable resection techniques, and in improving patients’ quality of life by achieving optimal functional and aesthetic restoration.

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