sms 医学院及附属医院宫颈活检病变的临床病理学谱系

Saroj Pachori, Laghuta Verma, Parmendra Pachori, Moullik Pachori
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引用次数: 0

摘要

宫颈病变最常见于性生活活跃的女性。这些病变可能是非肿瘤性的,也可能是肿瘤性的。对宫颈非肿瘤性病变进行分类并熟悉其组织病理学检查结果,对于识别这些病变至关重要,并能改善对患者的治疗方法。本研究旨在了解宫颈活组织检查中发现的疾病的组织形态学模式,并研究不同宫颈病变的临床表现与组织病理学模式之间的关联。这项宫颈病变的临床病理学研究于 2020 年 4 月至 2021 年 10 月在斋浦尔 SMS 医学院病理学系进行,历时 1.5 年。最常见的年龄段为 41 至 50 岁。阴道白带是良性宫颈病变最常见的表现特征。恶性宫颈病变则表现为阴道异常出血。良性宫颈病变比癌前病变和恶性宫颈病变更常见,慢性非特异性宫颈炎是所有病变中最常见的。在恶性肿瘤中,鳞状细胞癌最为常见。可以得出的结论是,正确解释和诊断的关键在于宫颈组织学与临床数据之间的仔细关联,这最终有助于通过早期发现恶性和恶性前病变并及时处理来降低发病率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CLINICOPATHOLOGICAL SPECTRUM OF LESIONS IN CERVICAL BIOPSIES AT SMS MEDICAL COLLEGE AND ATTACHED HOSPITALS
Cervical lesions are most commonly seen in sexually active women. These lesions may be non-neoplastic and neoplastic. Categorization and familiarity of the cervical non-neoplastic lesions with their histopathological findings are essential in their recognition and could improve the approach toward better management of the patient. This study was conducted with the aim to access the histomorphological pattern of diseases encountered in cervical biopsies and to study the association between clinical presentation and histopathological patterns of different cervical lesions. This study clinicopathological spectrum of cervical lesions was carried out in the Department of Pathology, SMS Medical College, Jaipur over 1.5 years from April 2020 to October 2021 In our study a total of 100 cervical biopsies were taken for study. The most common age group was 41 to 50 years. White discharge per vagina was the most common presenting feature in benign cervical lesions. Abnormal bleeding per vagina was in malignant cervical lesions. Benign cervical lesions were more common as compared to premalignant & malignant cervical lesions with chronic non-specific cervicitis being the most common of all lesions. Among malignancies, squamous cell carcinoma was the most common entity. It can be concluded that the key to correct interpretation and diagnosis depends upon careful correlation between cervical histology & clinical data which eventually helps in reducing morbidity by early detection of malignant and premalignant lesions and their timely management
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