Prognostic Value of TIL in Nasopharyngeal Carcinoma
NCT06763640 · Status: ENROLLING_BY_INVITATION · Type: OBSERVATIONAL · Enrollment: 216
Last updated 2025-01-09
Summary
Our center plans to conduct a prospective, multicenter, observational study aimed at observing the percentage of TIL infiltration calculated using deep learning methods based on digital pathological images, and analyzing its prognostic significance in nasopharyngeal carcinoma, in order to help guide personalized treatment.
Conditions
- Nasopharyngeal Carcinoma (NPC)
Sponsors & Collaborators
-
Jiangxi Provincial Cancer Hospital
lead OTHER
Eligibility
- Min Age
- 18 Years
- Max Age
- 70 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-01-01
- Primary Completion
- 2027-12-31
- Completion
- 2028-12-31
Countries
- China
Study Locations
More Related Trials
-
A Deep Learning Model for Diagnosing Lymph Node Metastasis in Nasopharyngeal Carcinoma(NPC)
NCT06829147 ·Status: RECRUITING
-
Deep Learning Model to Predict the Recurrence of Stage IA Invasive Lung Adenocarcinoma After Sub-lobar Resection
NCT06659601 ·Status: COMPLETED
-
Integrating Machine Learning for Prognostic Prediction in Stage I NSCLC by CT Images and Pathological Factors
NCT06737367 ·Status: COMPLETED
-
CT and Endoscopic Biopsy Image-Based Deep Learning for Predicting Left Recurrent Laryngeal Nerve Lymph Node Metastasis in Esophageal Cancer
NCT07074535 ·Status: ACTIVE_NOT_RECRUITING
-
Deep Learning Signature for Predicting Occult Nodal Metastasis of Clinical N0 Lung Cancer
NCT05425134 ·Status: UNKNOWN
-
Prospective Study for Prognostic Biomarkers of Nasopharyngeal Carcinoma
NCT03025854 ·Status: UNKNOWN
-
CyberKnife Radiosurgical Treatment of Inoperable Early Stage Non-Small Cell Lung Cancer
NCT00643318 ·Status: UNKNOWN ·Phase: PHASE2
-
Deep Learning Signature for Predicting Aggressive Histological Pattern in Resected Non-small Cell Lung Cancer
NCT05925738 ·Status: UNKNOWN
-
Lymph Node Metastasis in Early Esophageal Squamous Cell Carcinoma
NCT07050576 ·Status: RECRUITING
-
Study of Biomarker From Blood and Tissue of Head and Neck Carcinoma
NCT01171235 ·Status: UNKNOWN
-
Predicting Tumor Origin Based on Deep Learning of Lymph Node Puncture Cytology
NCT06810349 ·Status: RECRUITING
-
Development of a Machine Learning Model for Nasopharyngeal Carcinoma Screening Based on Tongue Imaging
NCT06129201 ·Status: NOT_YET_RECRUITING
-
Prognostic Value of CD4/CD8 Ratio in Patients with Nasopharyngeal Carcinoma
NCT06762470 ·Status: ACTIVE_NOT_RECRUITING
-
Multimodal Deep Learning for Lymph Node Metastasis Prediction and Physician Performance Assessment in T1 Gastric Cancer
NCT07124754 ·Status: RECRUITING
-
Study on the Diagnosis of Ground-glass Lung Cancer by Microwave Ablation Combined With Puncture Biopsy
NCT06776588 ·Status: RECRUITING ·Phase: NA
-
Hemoglobin, Neutrophil to Lymphocyte Ratio and Platelet Count Improve Prognosis Prediction in Nasopharyngeal Carcinoma
NCT02211677 ·Status: UNKNOWN
-
Detection and Biopsy Guidance of Nasopharyngeal Carcinoma Based on Artificial Intelligence and Endoscopic Images
NCT05202626 ·Status: RECRUITING
-
PD-L1 Expression on CTCs in HNSCC Patients Underwent Curative CCRT
NCT05008796 ·Status: UNKNOWN
-
Deep Learning Signature for Predicting Complete Pathological Response to Neoadjuvant Chemoimmunotherapy in Non-small Cell Lung Cancer
NCT05925751 ·Status: UNKNOWN
-
Artificial Intelligence-based Model for the Prediction of Occult Lymph Node Metastasis and Improvement of Clinical Decision-making in Non-small Cell Lung Cancer
NCT06684418 ·Status: RECRUITING
-
CT Body Composition Enhances Survival Risk Stratification
NCT07109271 ·Status: COMPLETED
-
10-year Retrospective Study of Oral and Maxillofacial Squamous Cell Carcinoma
NCT06366906 ·Status: COMPLETED
-
WSI Based DL for Diagnosing the IASLC Grading System of Lung Adenocarcinoma
NCT05925764 ·Status: RECRUITING
-
A Prospective Study of Molecular Detection of Salvageable Early Recurrent Nasopharyngeal Carcinoma After Radiotherapy
NCT03379610 ·Status: COMPLETED
-
Real-world Study of Dedifferentiated Liposarcoma Patients in China
NCT06115681 ·Status: COMPLETED