哥斯达黎加大学牙科学院组织病理学诊断的口腔病变范围

Navas-Aparicio María del Carmen
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引用次数: 0

摘要

口腔黏膜存在不同的病变和病症,必须通过系统、详细的口腔检查,并辅以精确的病史和诊断测试、支柱等诊断过程才能确定,因为这影响着预后和适时治疗的实施。目的是确定 2016-2019 年期间哥斯达黎加大学牙科学院通过组织病理学研究诊断出的口腔病变范围,并确定其患病率。本研究为描述性和回顾性研究,以活检患者的组织病理学报告数据为基础。使用的统计技术是描述性的,包括变量的频率分布和交叉。数据的统计处理是在 Excel 创建的数据库中进行的。研究对象包括 160 份组织病理报告,其中 11 份被排除在外。年龄范围为 2-78 岁,以 51-60 岁年龄段为主。性别以女性为主(58.4%)。解剖部位以舌为主(20.0%)。组织病理类型以反应性和增生性病变(36.1%)和局灶性纤维增生病变为主。确定特定人群口腔病变的患病率有助于了解容易发生的病变类型和严重程度,以及确定不同的疾病模式,从而了解普通人群和高危人群的背景情况,从而加强早期诊断和及时治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spectrum of Oral Lesions Histopathologically Diagnosed at the Faculty of Dentistry, Universidad de Costa Rica

The oral mucosa presents different lesions and conditions, which must be identified through a systematic and detailed examination of the oral cavity aided by a precise medical history and diagnostic tests, pillars, all of the diagnostic process, since this influences the prognosis and the implementation of treatment at the right time. To determine the spectrum of lesions in the oral cavity diagnosed through histopathological study and define their prevalence in the Faculty of Dentistry, Universidad de Costa Rica, during the period 2016–2019. The study was descriptive and retrospective, based on data from the histopathological reports of patients who underwent biopsy. The statistical techniques used were descriptive, with frequency distribution and crossing of variables. The statistical processing of the data was designed in a database created in Excel. The population consisted of 160 histopathological reports, of which 11 were excluded. The age range was 2–78 years old, with the 51–60-year group predominating. The predominant gender was female (58.4%). The anatomical site that prevailed was the tongue (20.0%). The histopathological groups of reactive and hyperplastic lesions (36.1%) and focal fibrous hyperplasia lesions were those that prevailed in the study. Determining the prevalence of lesions in the oral cavity in a specific population helps to know the type and severity of lesions that tend to occur, as well as identifying different patterns of diseases, thus contextualizing the general and at-risk population, which strengthens early diagnosis and timely treatment.

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