口腔颌面部巨细胞病变-一种建议的诊断算法

H. Kaur, Deepika Mishra, A. Roychoudhury, M. Sharma, A. Bhalla, A. Mridha, A. Kakkar, Rahul Yadav, Sunny Kala, Shashwat Mishra
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引用次数: 0

摘要

多核巨细胞在组织病理学中是常见的,大多是诊断的线索,但有时会造成诊断混乱。本研究阐明了一系列巨细胞病变(GCL)的病例,重点是鉴别诊断和其他有助于最终诊断的调查。我们还打算设计一种算法方法来准确地描述这些病变的病理特征。病理学家回顾了2018年1月至2019年6月在该科报告的所有病例,并将诊断出巨细胞的病变总数或其他发现纳入本研究。1000例活检中有25例是根据巨细胞形态诊断的。最常见的病变为中央巨细胞肉芽肿,其次为小天使病、甲状旁腺功能亢进、周围巨细胞肉芽肿、结核和混合性病变。对这类病例的鉴别诊断的系统方法和诊断算法被设计,这是按照报告的频谱GCL正在遵循。放射学、血清学和有时辅助染色技术对于巨细胞病变的准确组织病理学诊断至关重要。我们的诊断算法有助于缩小表征这些病变所需的调查范围,从而更快、更有信心地识别病理。
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Giant Cells Lesions of Oral and Maxillofacial Region – A Proposed Diagnostic Algorithm
Multinucleated giant cells are commonly encountered in histopathology and are mostly a clue to diagnosis but sometimes pose a diagnostic confusion. The present study elucidates a case series of giant cell lesions (GCL) with emphasis on differential diagnosis and other investigations that contribute towards arriving at a final diagnosis. We also intended to devise an algorithmic approach for the accurate pathological characterization of these lesions. All the cases reported in the department from January 2018 to June 2019 were reviewed by pathologists and the total number of lesions where giant cells were diagnostic or an additional finding were included in this study. Twenty-five cases out of 1000 biopsies were diagnosed based on giant cell morphology. The most frequent lesions were central giant cell granuloma, followed by cherubism, hyperparathyroidism, peripheral giant cell granuloma, tuberculosis, and hybrid lesion. A systematic approach towards differential diagnosis for such cases and a diagnostic algorithm was devised which is being followed as per the reported spectrum of GCL. Radiological, serology, and sometimes ancillary staining techniques are essential for the accurate histopathological diagnosis of giant cell lesions. Our diagnostic algorithm helps narrow down the spectrum of investigations necessary to characterize these lesions, enabling for a swifter and more confident identification of the pathologies.
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