382 results on '"Almangush, Alhadi"'
Search Results
2. Psychological Factors Related to Treatment Outcomes in Head and Neck Cancer
3. Programmed death-ligand 1 and tumor-infiltrating lymphocytes (TILs) – low TIL density may predict poorer long-term prognosis in T1 laryngeal cancer
4. Accumulating evidence from meta-analyses of prognostic studies on oral cancer: towards biomarker-driven patient selection
5. The prognostic role of single cell invasion and nuclear diameter in early oral tongue squamous cell carcinoma
6. Correction to: Programmed death-ligand 1 and tumor-infiltrating lymphocytes (TILs) – low TIL density may predict poorer long-term prognosis in T1 laryngeal cancer
7. Tertiary lymphoid structures in nasopharyngeal carcinoma: A multi-institutional study
8. The risk of second primary cancer after nasopharyngeal cancer: a systematic review
9. Artificial Intelligence-Driven Radiomics in Head and Neck Cancer: Current Status and Future Prospects
10. Predictive value of tumor budding in head and neck squamous cell carcinoma: an update
11. Tumour budding in head and neck cancer: what have we learnt and the next steps towards clinical implementation
12. Application of artificial intelligence for overall survival risk stratification in oropharyngeal carcinoma: A validation of ProgTOOL
13. Tumor-stroma ratio is a promising prognostic classifier in oropharyngeal cancer
14. Prognostic Significance of Tumor-associated Stroma in Nasopharyngeal Carcinoma: A Multicenter Study
15. Can TILs supplement the TNM staging system (as TNM-Immune)?
16. An interpretable machine learning prognostic system for risk stratification in oropharyngeal cancer
17. Tumour-infiltrating lymphocytes in oropharyngeal cancer: a validation study according to the criteria of the International Immuno-Oncology Biomarker Working Group
18. Web‐based prognostic tools for oral tongue cancer: An analysis of online predictors.
19. Managing Cachexia in Head and Neck Cancer: a Systematic Scoping Review
20. Tertiary lymphoid structures associate with improved survival in early oral tongue cancer
21. Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review
22. Comparison of nomogram with machine learning techniques for prediction of overall survival in patients with tongue cancer
23. Stromal categorization in early oral tongue cancer
24. High tumor mutation burden predicts favorable outcome among patients with aggressive histological subtypes of lung adenocarcinoma: A population-based single-institution study
25. Staging and grading of oral squamous cell carcinoma: An update
26. Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer
27. Artificial Intelligence-Driven radiomics in head and neck Cancer: Current status and future prospects
28. Characteristics of Laryngeal Osteosarcoma: A Critical Review
29. Clinical significance of tumor-stroma ratio in head and neck cancer: a systematic review and meta-analysis
30. Cellular dissociation: a missing item in the pathology report and histologic grading of oral tongue cancer?
31. Tumor-infiltrating lymphocytes associate with outcome in nonendemic nasopharyngeal carcinoma: a multicenter study
32. Machine learning application for prediction of locoregional recurrences in early oral tongue cancer: a Web-based prognostic tool
33. Assessment of tumor-infiltrating lymphocytes in head and neck cancer: Clinical scenarios
34. Prognostic Significance of Tumor-associated Stroma in Nasopharyngeal Carcinoma
35. Correction to: Programmed death-ligand 1 and tumor-infiltrating lymphocytes (TILs) – low TIL density may predict poorer long-term prognosis in T1 laryngeal cancer
36. Cell-in-cell phenomenon associates with aggressive characteristics and cancer-related mortality in early oral tongue cancer
37. Assessment of Tumor-infiltrating Lymphocytes Predicts the Behavior of Early-stage Oral Tongue Cancer
38. MicroRNA and protein profiles in invasive versus non-invasive oral tongue squamous cell carcinoma cells in vitro
39. Small oral tongue cancers (≤ 4 cm in diameter) with clinically negative neck: from the 7th to the 8th edition of the American Joint Committee on Cancer
40. Tumour budding in oral squamous cell carcinoma: a meta-analysis
41. Evaluation of the budding and depth of invasion (BD) model in oral tongue cancer biopsies
42. Programmed death-ligand 1 and tumor-infiltrating lymphocytes (TILs) – low TIL density may predict poorer long-term prognosis in T1 laryngeal cancer
43. Application of artificial intelligence for overall survival risk stratification in oropharyngeal carcinoma: A validation of ProgTOOL
44. A Proposal to Revise the Histopathologic Grading System of Early Oral Tongue Cancer Incorporating Tumor Budding
45. Interpretable machine learning model for prediction of overall survival in laryngeal cancer.
46. Prognostic significance of the neural invasion in oral squamous cell carcinoma
47. Advanced-stage tongue squamous cell carcinoma: a machine learning model for risk stratification and treatment planning
48. Prognostic markers for oral cancer: An overview of the current status and directions for future research
49. Clinical Significance of Overall Assessment of Tumor-Infiltrating Lymphocytes in Oropharyngeal Cancer: A Meta-analysis
50. Optimal cutoff point for depth of invasion in patient selection: A continuing debate
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