Risk stratification of oral cancer patients using a combined prognostic factor including lymph node density and biomarker

Ki-Yeol Kim; In-Ho Cha

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Risk stratification of oral cancer patients using a combined prognostic factor including lymph node density and biomarker

机译：使用包括淋巴结密度和生物标志物在内的综合预后因素对口腔癌患者进行风险分层

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摘要

In this study, we aimed to validate the lymph node density (LND) as an independent prognostic factor of oral squamous cell carcinoma (OSCC) and identify a combined prognostic factor including LND, predicting better performance in risk stratification.

机译：在这项研究中，我们旨在验证淋巴结密度（LND）作为口腔鳞状细胞癌（OSCC）的独立预后因素，并确定包括LND在内的综合预后因素，预测风险分层的更好表现。

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《Journal of Cancer Research and Clinical Oncology》 |2012年第3期|p.483-490|共8页
作者
Ki-Yeol Kim; In-Ho Cha;
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作者单位

Oral Cancer Research Institute, College of Dentistry, Yonsei University, Seoul, 120-752, Republic of Korea;

Oral Cancer Research Institute, College of Dentistry, Yonsei University, Seoul, 120-752, Republic of Korea;

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正文语种 eng
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关键词
Oral squamous cell carcinoma; Risk stratification; Lymph node density; Biomarker; IMP3; Combined prognostic factor;

机译：口腔鳞癌;风险分层;淋巴结密度;生物标志物;IMP3;联合预后因素;

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专利

1. Risk stratification of oral cancer patients using a combined prognostic factor including lymph node density and biomarker. [J] . Ki-Yeol Kim, In-Ho Cha Journal of Cancer Research and Clinical Oncology . 2012,第3期

机译：使用包括淋巴结密度和生物标志物在内的综合预后因素对口腔癌患者进行风险分层。
2. Risk Stratification For Axillary Lymph Node Metastases in Breast Cancer Patients What Clinicopathological and Radiological Factors of Primary Breast Cancer Can Predict Preoperatively Axillary Lymph Node Metastases? [J] . Yun Seong Jong, Sohn Yu-Mee, Seo Mirinae Ultrasound quarterly. . 2017,第1期

机译：乳腺癌患者中腋窝淋巴结转移的风险分层，原发性乳腺癌的临床病理和放射源因素可以预测术前腋窝淋巴结转移吗？
3. Risk Factors Analysis of Pathologically Confirmed Cervical Lymph Nodes Metastasis in Oral Squamous Cell Carcinoma Patients with Clinically Negative Cervical Lymph Node: Results from a Cancer Center of Central China [J] . Yonghong Li, Ke Liu, Yuan Ke, Journal of Cancer . 2019,第13期

机译：口腔鳞状细胞癌临床阴性宫颈淋巴结患者经病理证实的宫颈淋巴结转移的危险因素分析：来自华中地区癌症中心的结果
4. Non-invasive prediction of lymph node risk in oral cavity cancer patients using a combination of supervised and unsupervised machine learning algorithms [C] . A. Traverso, A. Hosni-Abdalaty, M. Hasan, Conference on Medical Imaging : Biomedical Applications in Molecular, Structural, and Functional Imaging . 2020

机译：利用监督和无监督机学习算法组合的口腔癌患者淋巴结风险的非侵入性预测
5. Evaluation of pathologic parameters and published nomograms in predicting non-sentinel lymph node metastases in female breast cancer patients with positive sentinel lymph nodes. [D] . Murch, Lisa Elaine. 2007

机译：在前哨淋巴结阳性的女性乳腺癌患者中预测非前哨淋巴结转移的病理参数和公布的列线图评估。
6. Clues toward precision medicine in oral squamous cell carcinoma: utility of next-generation sequencing for the prognostic stratification of high-risk patients harboring neck lymph node extracapsular extension [O] . Hung-Ming Wang, Chun-Ta Liao, Tzu-Chen Yen, 2016

机译：在口腔鳞状细胞癌中寻求精准医学的线索：下一代测序在具有颈部淋巴结包膜外扩展的高危患者的预后分层中的应用
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Risk stratification of oral cancer patients using a combined prognostic factor including lymph node density and biomarker

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