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

IF 0.2 Q4 MEDICINE, GENERAL & INTERNAL
Nezaket Ezgi Özer, Betul Karaca, C. Gürhan, H. Boyacıoğlu, Umut Aykutlu, P. Güneri
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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.
口腔恶性肿瘤风险的临床预测因素是否发生了变化?样本研究
目的:我们的研究评估需要组织学检查的口腔病变的临床特征和患者报告的症状,以评估恶性肿瘤的风险并确定是否存在任何改变的特征。材料与方法:采用卡方检验、Fisher精确独立性检验和判别函数分析等方法,对70例患者的人口学特征和病变的临床特征进行分析。结果:边缘、淋巴结病、患者对病变的自我意识与肿块效应、表面质地、颜色、溃疡、,功能丧失和疼痛是指示恶性肿瘤风险的重要参数(p<0.05)。对与恶性肿瘤高风险相关的参数进行分析,得出了良性病变和恶性肿瘤临床鉴别的统计模型,准确率为91.4%(p=0.016)。统计模型表明,最重要的鉴别特征是边缘,表面质地、患者自我意识、淋巴结病、功能丧失、溃疡、颜色和疼痛。结论:在我们的研究中,年龄、性别、病程和定位没有预测病变的性质。我们的统计模型显示,不规则/模糊的边缘和表面纹理以及淋巴结病的存在具有更高的恶性风险。
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来源期刊
Meandros Medical and Dental Journal
Meandros Medical and Dental Journal MEDICINE, GENERAL & INTERNAL-
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