Evaluating the Diagnosis of Cervical Lymph Node Metastasis In Oral Squamous Cell Carcinoma by Clinicopathologic Investigation

通过临床病理学检查评估口腔鳞状细胞癌颈部淋巴结转移的诊断

阅读:2

Abstract

BACKGROUND: The presence of cervical lymph node metastasis stands as a key element for predicting the prognosis of oral squamous cell carcinoma (OSCC) because it affects both management decisions and survival durations. MATERIALS AND METHODS: This study evaluated 80 OSCC cases that received treatment at a tertiary care facility during the period from 2020 to 2024 by means of retrospective analysis. The study obtained data about the patient characteristics together with tumor site, size and histological grade, depth of invasion (DOI), perineural invasion (PNI) and lymphovascular invasion (LVI), and clinical nodal status. Surgical neck dissections occurred in every case, and the histopathological analyses received comparison with the clinical assessments. SPSS version 26.0 performed the statistical analysis through which results with P values below 0.05 emerged as significant statistical findings. RESULTS: The tongue was the most affected site with 42.5% of cases, while buccal mucosa followed closely with 31.2% of patients. The histopathological analysis demonstrated that cervical lymph node metastasis existed in 38 patients (47.5%) among the study group. The evaluation revealed significant positive trends between deep invasion beyond 5 mm (P = 0.003) and the presence of PNI (P = 0.012) and LVI (P = 0.007) and nodal metastasis. Clinical palpation evaluation found nodal status correctly in 70% of patients, while it failed to identify the presence of hidden metastases in nine cases (11.2%). CONCLUSION: Multiple pathological features including deep invasion level and the presence of perineural invasion and lymphovascular invasion prove highly associated with cervical lymph node metastasis in patients with OSCC.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。