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Your search keyword '"N stage"' showing total 15 results

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15 results on '"N stage"'

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1. Efficacy of capecitabine and oxaliplatin versus S-1 as adjuvant chemotherapy in gastric cancer after D2 lymph node dissection according to lymph node ratio and N stage.

2. New perspective to evaluate N1 staging: The peripheral lymph node metastasis status of non-small cell lung cancer.

3. Recommended Change in the N Descriptor Proposed by the International Association for the Study of Lung Cancer: A Validation Study.

4. Long-term efficacy of lobectomy for stage T1 papillary thyroid carcinoma with varying degrees of lymph node metastasis.

5. Association of Lymph Nodes Positive Rate With the Risk of Recurrence in Patients With Stage T1 Papillary Thyroid Cancer.

6. Quantitative Spatial Characterization of Lymph Node Tumor for N Stage Improvement of Nasopharyngeal Carcinoma Patients.

7. The Combination of T Stage and the Number of Pathologic Lymph Nodes Provides Better Prognostic Discrimination in Early-Stage Cervical Cancer With Lymph Node Involvement.

8. DCE-MRI 联合 DWI 对直肠癌患者术前 T、N 分期 及系膜淋巴结良恶性的诊断价值.

9. Evaluation of the Effect of Lymph Node Status on the Survival of Non-Small Cell Lung Cancer Patients With Brain Metastases: Applications of a Novel Grade Prognostic Assessment Score Model Involving N Stage.

10. Lymph node ratio as a valuable prognostic factor for patients with colorectal liver-only metastasis undergoing curative resection.

11. New perspective to evaluate N1 staging: The peripheral lymph node metastasis status of non‐small cell lung cancer

12. Tumor size measured by multidetector CT in resectable colon cancer: correlation with regional lymph node metastasis and N stage

13. Maximal lymph nodal diameter on N stage of nasopharyngeal carcinoma

14. Efficacy of capecitabine and oxaliplatin versus S-1 as adjuvant chemotherapy in gastric cancer after D2 lymph node dissection according to lymph node ratio and N stage

15. DEVELOPMENT OF THE NOMOGRAM THAT PREDICTS PATHOLOGICAL LYMPH NODE INVOLVEMENT IN BLADDER CANCER PATIENTS BASED ON CLINICAL VARIABLES

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