Application of MRI Radiomics Features in Neoadjuvant Therapy of Head and Neck Squamous Cell Carcinoma
NCT06755567 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 750
Last updated 2025-01-01
Summary
Head and neck squamous cell carcinoma is the sixth most common malignant tumor in the world. Neoadjuvant therapy, including neoadjuvant chemotherapy and immunotherapy, is recommended for patients with locally advanced head and neck cancer. The response to neoadjuvant therapy varies among the patients. It is reported that about 37% of the patients achieve pathological complete response after receiving neoadjuvant therapy, who would achieve a better prognosis compared with the patients with non-pathological complete response. It is significant to predict and assess response to neoadjuvant therapy for the patients with head and neck cancer accurately, which could assist in formulating individualized therapeutic regimens. MRI has good soft tissue resolution and is a common preoperative examination method. However, this method lacks the ability to accurately predict the probability of patients achieving pathological remission after neoadjuvant therapy. At present, it is a novel and effective method to construct a model to predict the efficacy of neoadjuvant therapy based on MRI image omics analysis, and certain achievements have been made in breast cancer and rectal cancer. In this study, multi-sequence MRI was combined with clinical risk factors to construct an imaging omics model to predict the probability of pathological complete remission of patients with head and neck squamous cell carcinoma after neoadjuvant therapy, and to accurately identify diagnostic imaging remission, so as to better assist clinical decision-making.
Conditions
- Head and Neck Cancer
- Neoadjuvant Therapy
- Immunotherapy
- Chemotherapy
- Pathologic Complete Response
Interventions
- DIAGNOSTIC_TEST
-
MRI-based radiomics-clinical model
Response to NACI was predicted using MRI-based radiomics-clinical model.
Sponsors & Collaborators
-
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
lead OTHER
Eligibility
- Min Age
- 18 Years
- Max Age
- 80 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-12-25
- Primary Completion
- 2026-12-31
- Completion
- 2028-12-31
More Related Trials
-
Study on Radiogenomics Features Associated With Radiochemotherapy Sensitivity in Gliomas
NCT06454097 ·Status: RECRUITING ·Phase: NA
-
Application of 3D MR Neurogram for Intraparotid Facial Nerves Evaluation
NCT05296109 ·Status: RECRUITING ·Phase: NA
-
Predictive Value of Diffusion-weighted MRI Performed in Early Post-treatment in the Occurrence of Tumor Recurrence or Progression in Head and Neck Squamous Cell Carcinoma Treated With Chemoradiotherapy: a Pilot Study
NCT02862678 ·Status: COMPLETED ·Phase: NA
-
Magnetic Resonance Imaging (MRI) in the Assessment of Head and Neck Squamous Cell Carcinoma (HNSCC) Response
NCT00994201 ·Status: TERMINATED
-
Development and Validation of Advanced MRI Methods for Clinical Applications
NCT03264300 ·Status: UNKNOWN ·Phase: NA
-
Mechanistic Study of SPARC-Mediated Regulation of Neutrophil Extracellular Trap Formation in the Brain Metastatic Microenvironment of Breast Cancer
NCT07185646 ·Status: ACTIVE_NOT_RECRUITING
-
MRI Mapping in Planning Radiation Therapy to the Base of Skull and Brain in Patients With Nonmetastatic Head and Neck Cancer
NCT00984074 ·Status: COMPLETED
-
Multimodal Imaging-assisted Diagnosis Model for Cervical Spine Tumors
NCT04959656 ·Status: COMPLETED
-
Dynamic Contrast Enhanced MRI (DCE-MRI) Diffusion Weighted MRI (DW-MRI) and Magnetic Resonance Spectroscopy (MRS) of Head and Neck Tumors
NCT00581906 ·Status: ACTIVE_NOT_RECRUITING
-
Non-invasive Glioma Characterization Through Molecular Imaging
NCT03684109 ·Status: RECRUITING ·Phase: NA
-
Use of Multiparametric MRI in the Management of Head and Neck Cancer: a Prospective Analysis
NCT03993665 ·Status: ACTIVE_NOT_RECRUITING
-
Functional ImaGing of Heterogeneity in Head and Neck Tumors - Validation From Surgical Specimens
NCT03160495 ·Status: COMPLETED
-
MRI Scans in Evaluating the Effects of Radiation Therapy and Chemotherapy in Patients With Newly Diagnosed Glioblastoma Multiforme or Anaplastic Glioma
NCT00756106 ·Status: TERMINATED ·Phase: NA
-
The Combination of Preoperative MRI and SLN in the Surgical Management of CC and EC
NCT05942170 ·Status: UNKNOWN ·Phase: NA
-
Response Assessment During MR-guided Radiation Therapy for Glioblastoma
NCT05565326 ·Status: RECRUITING
-
Evaluation of Effectiveness of CyberKnife Stereotactic Radiosurgery for Spinal Tumors
NCT04192383 ·Status: UNKNOWN
-
New MRI Biomarkers in Head and Neck Cancers
NCT03483337 ·Status: RECRUITING
-
MR Elastography in Intracranial Lesions: Feasibility & Accuracy
NCT06916715 ·Status: ACTIVE_NOT_RECRUITING
-
PET (FDG)-MR Imaging for the Adult Patients Presented With Brain Tumor
NCT02071017 ·Status: UNKNOWN
-
Magnetic Resonance Imaging-guided Adaptive Radiotherapy for Large Brain Metastases
NCT06405256 ·Status: RECRUITING
-
The Value of Preoperative Diagnosis and Prognostic Prediction Based on Radiomics of Giant Cell Tumor of Spine
NCT04952818 ·Status: COMPLETED
-
Development of Intelligent Model for Radioactive Brain Damage of Nasopharyngeal Carcinoma Based on Radio-metabolomics
NCT05547971 ·Status: UNKNOWN
-
Multimodal Imaging Analysis of Spinal Tumors
NCT04955522 ·Status: COMPLETED
-
Serial Magnetic Resonance Imaging for the Prediction of Radiation-Induced Changes in Normal Tissue of Patients With Oral Cavity or Skull Base Tumors
NCT04265430 ·Status: RECRUITING ·Phase: PHASE4
-
Multi-site Validation and Application of a Consensus DSC-MRI Protocol
NCT03401866 ·Status: UNKNOWN ·Phase: NA