Risk Factors for Oral Squamous Cell Carcinoma in the Indian Population

Nethan, Suzanne Tanya; Gupta, Shalini; Warnakulasuriya, Saman

doi:10.1007/978-981-19-0592-6_2

Cited by 2 publications

(1 citation statement)

References 118 publications

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“…Te OSCC must therefore be diagnosed early to diagnose malignancies at the PMOD stage. Tere are many risk factors for OSCC, such as alcohol and tobacco use, infection with HPV, age, gender, and family history [8]. Tere are many clinical indicators of the possibility of infection with OSCC that must be taken into account; a doctor should be consulted immediately, the most important of which are mouth ulcers that do not heal, red and white sores in the tongue, lips, or mouth that do not heal, swelling of the jaw, and difculty swallowing or speaking [9].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Histopathological Images for Early Diagnosis of Oral Squamous Cell Carcinoma by Hybrid Systems Based on CNN Fusion Features

Ahmed

Senan

Shatnawi

2023

International Journal of Intelligent Systems

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Oral squamous cell carcinoma (OSCC) is one of the deadliest and most common types of cancer. The incidence of OSCC is increasing annually, which requires early diagnosis to receive appropriate treatment. The biopsy technique is one of the most important techniques for analyzing samples, but it takes a long time to get results. Manual diagnosis is still subject to errors and differences in doctors’ opinions, especially in the early stages. Thus, automated techniques can help doctors and patients to receive appropriate treatment. This study developed several hybrid models based on the fused CNN features for diagnosing OSCC-100x and OSCC-400x datasets for oral cancer, which have the ability to analyze medical images with a high level of precision and accuracy. They can detect subtle patterns, abnormalities, or indicators of diseases that may be difficult to recognize with the naked eye. The systems have the potential to significantly reduce human error and provide more consistent and reliable results, resulting in improved diagnostic accuracy. The systems also have the potential for early detection of OSCC for treatment success and improved patient outcomes. By detecting diseases at an early stage, clinicians can initiate interventions in a timely manner, potentially preventing OSCC progression and improving the chances of successful treatment. The first strategy was based on GoogLeNet, ResNet101, and VGG16 models pretrained, which did not achieve satisfactory results. The second strategy was based on GoogLeNet, ResNet101, and VGG16 models based on the adaptive region growing (ARG) segmentation algorithm. The third strategy is based on a mixed technique between GoogLeNet, ResNet101, and VGG16 models and ANN and XGBoost networks based on the ARG hashing algorithm. The fourth strategy for oral cancer diagnosis by ANN and XGBoost is based on features fused between CNN models. The ANN with fusion features of GoogLeNet-ResNet101-VGG16 yielded an AUC of 98.85%, accuracy of 99.3%, sensitivity of 98.2%, precision of 99.5%, and specificity of 98.35%.

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Section: Introductionmentioning

confidence: 99%

Analysis of Histopathological Images for Early Diagnosis of Oral Squamous Cell Carcinoma by Hybrid Systems Based on CNN Fusion Features

Ahmed

Senan

Shatnawi

2023

International Journal of Intelligent Systems

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Association of Endogenous Metabolic End products & Clinicopathological traits of Oral Squamous Cell Carcinoma

Priya

2022

IJCPC

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Introduction: Oral squamous cell carcinoma (OSCC) is a widespread cancer and is associated with social and economic consequences. Clinico-pathological correlation improves patient survival and disease management. Our research intends to examine the relationships between OSCC and metabolic processes reflected by final catabolism products. Methodology: In this cancer comparative retrospective analysis, metabolic byproducts in OSCC patients and healthy controls were compared. One way ANOVA analysis was done to record notable changes in OSCC patients by correlating along with disease's clinico-pathological traits. Result: Serum Urea and creatinine level were determined in a total of 109 subjects, 55 diagnosed as OSCC and 54 healthy subjects who had been reported to our hospital for the past two years. OSCC and healthy patients revealed blood urea levels with significant correlation (p=0.000). Serum creatnine was insignificant between two groups (p<0.68). Blood urea and creatinine was insignificant with random blood sugar (p<0.205), negative correlation with habits (p<0.953) and significant with metastasis (p=0.000). Conclusion: OSCC in advanced stages have nearing higher serum urea levels, and is associated with nodal metastases. Deregulation of protein catabolism processes may be associated with invasive characteristics of OSCC, enabling aggressive behaviour in OSCC.

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Risk Factors for Oral Squamous Cell Carcinoma in the Indian Population

Cited by 2 publications

References 118 publications

Analysis of Histopathological Images for Early Diagnosis of Oral Squamous Cell Carcinoma by Hybrid Systems Based on CNN Fusion Features

Analysis of Histopathological Images for Early Diagnosis of Oral Squamous Cell Carcinoma by Hybrid Systems Based on CNN Fusion Features

Association of Endogenous Metabolic End products & Clinicopathological traits of Oral Squamous Cell Carcinoma

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