First signs of late-presenting cervical lymph node metastasis in oral cancers during follow-up
First signs of late-presenting cervical lymph node metastasis in oral cancers during follow-up
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DOI：
10.1016/j.ijom.2017.02.006
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发表时间：
2017-06-01
影响因子：
2.4
通讯作者：
Yamashiro, M.
中科院分区：
文献类型：
--
作者：
Sumino, J.;Uzawa, N.;Yamashiro, M.
口腔鳞状细胞癌（OSCC）最重要的预后因素之一是淋巴结转移的存在。因此，早期发现晚期颈淋巴结转移非常重要。尽管许多研究已经评估了检测转移性颈淋巴结的诊断方式，但没有研究评估了检测晚期颈淋巴结转移的过程，特别是早期体征。回顾性分析比较检测晚期淋巴结转移的第一个迹象的方法。共对65例OSCC患者进行评估。这些患者被回顾性地确定为在最初治疗后的随访中出现了晚期转移。四项检测的发现。方法分析：触诊、超声检查、计算机断层扫描和主观症状。各方法检出病例数如下：触诊31例（47.7%）；超声17例（26.1%）；计算机断层，12例（18.5%）；主观症状5例（7.7%）。触诊在发现晚期淋巴结转移中发挥了重要作用。相比之下，在大约一半的病例中，通过其他方法检测到转移性淋巴结。结果表明，可能分层的各种方法用于转移性淋巴结检测，取决于个别情况的特点。
One of the most important prognostic factors in oral squamous cell carcinoma (OSCC) is the presence of lymph node metastasis. Therefore, the early detection of late-presenting cervical lymph node metastasis is important. Although many studies have assessed diagnostic modalities for detecting metastatic cervical lymph nodes, no study has evaluated the process, especially first signs, for detecting late-presenting cervical lymph node metastasis. A retrospective analysis comparing methods for detecting the first signs of late-presenting lymph node metastasis was performed. A total of 65 OSCC patients were assessed. These patients were identified retrospectively as having presented late metastasis during follow-up after initial treatment with curative intent. The findings of four detection. methods were analyzed: palpation, ultrasonography, computed tomography, and subjective symptoms. The numbers of cases identified by each method were as follows: palpation, 31 (47.7%); ultrasonography, 17 (26.1%); computed tomography, 12 (18.5%); and subjective symptoms, 5 (7.7%). Palpation played a major role in the discovery of late-presenting lymph node metastasis. In contrast, metastatic lymph nodes were detected by other methods in about half of the cases. The results suggest a possible stratification of the various methods used for metastatic lymph node detection, depending on the characteristics of individual cases.