دورية أكاديمية
A prediction model for lymph node metastases using pathologic features in patients intraoperatively diagnosed as stage I non-small cell lung cancer
| العنوان: | A prediction model for lymph node metastases using pathologic features in patients intraoperatively diagnosed as stage I non-small cell lung cancer |
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| المؤلفون: | Fei Zhao, Yue Zhou, Peng-Fei Ge, Chen-Jun Huang, Yue Yu, Jun Li, Yun-Gang Sun, Yang-Chun Meng, Jian-Xia Xu, Ting Jiang, Zhi-Xuan Zhang, Jin-Peng Sun, Wei Wang |
| المصدر: | BMC Cancer, Vol 17, Iss 1, Pp 1-8 (2017) |
| بيانات النشر: | BMC, 2017. |
| سنة النشر: | 2017 |
| المجموعة: | LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens |
| مصطلحات موضوعية: | Non-small-cell lung cancer, Lymph node, Metastasis, Multivariable logistic model, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282 |
| الوصف: | Abstract Background There is little information on which pattern should be chosen to perform lymph node dissection for stage I non-small-cell lung cancer. This study aimed to develop a model for predicting lymph node metastasis using pathologic features of patients intraoperatively diagnosed as stage I non-small-cell lung cancer. Methods We collected pathology data from 284 patients intraoperatively diagnosed as stage I non-small-cell lung cancer who underwent lobectomy with complete lymph node dissection from 2013 through 2014, assessing various factors for an association with metastasis to lymph nodes (age, gender, pathology, tumour location, tumour differentiation, tumour size, pleural invasion, bronchus invasion, multicentric invasion and angiolymphatic invasion). After analysing these variables, we developed a multivariable logistic model to estimate risk of metastasis to lymph nodes. Results Univariate logistic regression identified tumour size >2.65 cm (p 2.65 cm (p 0.80, 0.43 2 cm and ŷ ≤0.43 plus tumour size ≤2 cm yielded positive lymph node metastasis predictive values of 44%, 18%, 14% and 0%, respectively. Conclusions A non-invasive prediction model including tumour size, tumour differentiation and bronchus invasion may be useful to give thoracic surgeons recommendations on lymph node dissection for patients intraoperatively diagnosed as Stage I non-small cell lung cancer. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1471-2407 57541639 |
| Relation: | http://link.springer.com/article/10.1186/s12885-017-3273-x; https://doaj.org/toc/1471-2407 |
| DOI: | 10.1186/s12885-017-3273-x |
| URL الوصول: | https://doaj.org/article/61402ea4f575416394367b72459ae199 |
| رقم الأكسشن: | edsdoj.61402ea4f575416394367b72459ae199 |
| قاعدة البيانات: | Directory of Open Access Journals |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 14712407 57541639 |
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| DOI: | 10.1186/s12885-017-3273-x |