81 results on '"Almangush, Alhadi"'
Search Results
2. The prognostic role of single cell invasion and nuclear diameter in early oral tongue squamous cell carcinoma
3. Prognostic Significance of Tumor-associated Stroma in Nasopharyngeal Carcinoma
4. Predictive value of tumor budding in head and neck squamous cell carcinoma: an update
5. Correction to: Programmed death-ligand 1 and tumor-infiltrating lymphocytes (TILs) – low TIL density may predict poorer long-term prognosis in T1 laryngeal cancer
6. Programmed death-ligand 1 and tumor-infiltrating lymphocytes (TILs) – low TIL density may predict poorer long-term prognosis in T1 laryngeal cancer
7. Application of artificial intelligence for overall survival risk stratification in oropharyngeal carcinoma: A validation of ProgTOOL
8. Tumor-stroma ratio is a promising prognostic classifier in oropharyngeal cancer
9. Prognostic significance of the neural invasion in oral squamous cell carcinoma
10. Advanced-stage tongue squamous cell carcinoma: a machine learning model for risk stratification and treatment planning
11. Prognostic markers for oral cancer: An overview of the current status and directions for future research
12. Clinical Significance of Overall Assessment of Tumor-Infiltrating Lymphocytes in Oropharyngeal Cancer: A Meta-analysis
13. Optimal cutoff point for depth of invasion in patient selection: A continuing debate
14. An interpretable machine learning prognostic system for risk stratification in oropharyngeal cancer
15. Insight into Classification and Risk Stratification of Head and Neck Squamous Cell Carcinoma in Era of Emerging Biomarkers with Focus on Histopathologic Parameters
16. Tertiary lymphoid structures associate with improved survival in early oral tongue cancer
17. Exploring the combination of tumor‐stroma ratio, tumor‐infiltrating lymphocytes, and tumor budding with WHO histopathological grading on early‐stage oral squamous cell carcinoma prognosis
18. Measuring the Usability and Quality of Explanations of a Machine Learning Web-Based Tool for Oral Tongue Cancer Prognostication
19. Tumor-Infiltrating Lymphocytes in Head and Neck Cancer: Ready for Prime Time?
20. Emerging histopathologic markers in early‐stage oral tongue cancer: A systematic review and meta‐analysis
21. Managing Cachexia in Head and Neck Cancer: a Systematic Scoping Review
22. Tumour-infiltrating lymphocytes in oropharyngeal cancer: a validation study according to the criteria of the International Immuno-Oncology Biomarker Working Group
23. Deep Machine Learning for Oral Cancer: From Precise Diagnosis to Precision Medicine
24. Cellular dissociation: a missing item in the pathology report and histologic grading of oral tongue cancer?
25. Machine learning in head and neck cancer: Importance of a web-based prognostic tool for improved decision making
26. The Impact of Histopathological Features on the Prognosis of Oral Squamous Cell Carcinoma: A Comprehensive Review and Meta-Analysis
27. Mitigating Burnout in an Oncological Unit: A Scoping Review
28. The effect of fascin 1 inhibition on head and neck squamous cell carcinoma cells
29. Utilizing Deep Machine Learning for Prognostication of Oral Squamous Cell Carcinoma—A Systematic Review
30. P-82 The budding and depth of invasion model in oral cancer: A systematic review and meta-analysis
31. Improving Risk Stratification of Early Oral Tongue Cancer with TNM-Immune (TNM-I) Staging System
32. Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review
33. Clinical significance of tumor-stroma ratio in head and neck cancer: a systematic review and meta-analysis
34. Back to basics: Hematoxylin and eosin staining is the principal tool for histopathological risk assessment of oral cancer
35. Biomarkers for Immunotherapy of Oral Squamous Cell Carcinoma: Current Status and Challenges
36. Comparison of nomogram with machine learning techniques for prediction of overall survival in patients with tongue cancer
37. Biopsy quality is essential for preoperative prognostication in oral tongue cancer
38. Impact of Astroprincin (FAM171A1) Expression in Oral Tongue Cancer
39. The budding and depth of invasion model in oral cancer: A systematic review and meta‐analysis
40. Stromal categorization in early oral tongue cancer
41. Addition of the tumour–stroma ratio to the 8th edition American Joint Committee on Cancer staging system improves survival prediction for patients with oral tongue squamous cell carcinoma
42. Cell-in-cell phenomenon associates with aggressive characteristics and cancer-related mortality in early oral tongue cancer
43. High tumor mutation burden predicts favorable outcome among patients with aggressive histological subtypes of lung adenocarcinoma: A population-based single-institution study
44. Staging and grading of oral squamous cell carcinoma: An update
45. Nonmalignant Formalin-Fixed Paraffin-Embedded Tissues as a Source to Study Germline Variants and Cancer Predisposition: A Systematic Review
46. Biopsy Quality is Essential for Preoperative Prognostication in Oral Tongue Cancer
47. Risk stratification in oral squamous cell carcinoma using staging of the eighth American Joint Committee on Cancer: Systematic review and meta‐analysis
48. Prognostication for oral squamous cell carcinoma patients based on the tumour–stroma ratio and tumour budding
49. Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer
50. A systematic review of predictive models for recurrence and mortality in patients with tongue cancer
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