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Journals / Meandros Medical And Dental Journal / 2026 / Volume: 23 Issue: 2

Are Clinical Predictors of Oral Malignancy Risk Changing? A Sample Study

Nezaket Ezgi Özer Özkaya(EGE UNIVERSITY)
Betül Karaca(EGE ÜNİVERSİTESİ, EGE TIP FAKÜLTESİ)
Ceyda Gürhan(EGE UNIVERSITY)
Hayal Boyacıoğlu(EGE UNIVERSITY)
Umut Aykutlu(EGE UNIVERSITY)
Pelin Güneri(EGE UNIVERSITY)
Pages
—
Publication Date
2022-06-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Our statistical model showed that irregular/indistinct margins and surface textures and the presence of lymphadenopathy have a higher risk of malignancy.

📌 3 Key Takeaways

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Objective & Hypothesis:Objective: Our study assesss the clinical features of oral lesions that require histological examination and patient-reported symptoms to estimate the risk of malignancy and to determine the presence of any altered features.
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Key Findings & Data:Materials and Methods: Demographic characteristics of 70 patients and clinical features of lesions were analyzed using chi-square test, Fisher’s Exact test of Independence and discriminant function analysis.
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Conclusion & Impact:Our statistical model showed that irregular/indistinct margins and surface textures and the presence of lymphadenopathy have a higher risk of malignancy.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Oral lesion · oral malignancy · malignancy risk

Abstract

Objective: Our study assesss the clinical features of oral lesions that require histological examination and patient-reported symptoms to estimate the risk of malignancy and to determine the presence of any altered features. Materials and Methods: Demographic characteristics of 70 patients and clinical features of lesions were analyzed using chi-square test, Fisher’s Exact test of Independence and discriminant function analysis. Results: Margins, lymphadenopathy, patient’s self-awareness of the lesion associated with mass effect, surface texture, colour, ulceration, loss of function and pain were significant parameters indicating the risk of malignancy (p<0.05). Analyses of the parameters related to the high risk of malignancy have led to a statistical model for clinical differentiation of benign lesions from malignancies with an accuracy of 91.4% (p=0.016). The statistical model demonstrated that the most important discriminative features were margins, surface texture, patient’s self-awareness, lymphadenopathy, loss of function, ulceration, colour, and pain, respectively. Conclusion: In our study, age, gender, duration and localization did not anticipate the nature of the lesion. Our statistical model showed that irregular/indistinct margins and surface textures and the presence of lymphadenopathy have a higher risk of malignancy.

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Cite This Article

Özkaya, N. E. Ö., Karaca, B., Gürhan, C., Boyacıoğlu, H., Aykutlu, U., Güneri, P. (2022). Are Clinical Predictors of Oral Malignancy Risk Changing? A Sample Study. Meandros Medical And Dental Journal, Volume: 23 Issue: 2. https://doi.org/10.4274/meandros.galenos.2021.16046

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