ClinicalTrials.gov
public full text
Public Domain
Temporal Diffusion Spectroscopy MRI in Predicting the CPS of PD-L1 Expression and the Efficacy of Neoadjuvant Therapy
The goal of this observational study is to explore the application of temporal diffusion spectroscopy MRI in head and neck squamous cell carcinoma (HNSCC). The main questions it aims to answer are: * If the quantitative parameters of temporal diffusion spectroscopy MRI can predict the comprehensive positive score (CPS) of pathological PD-L1 expression in HNSCC? * If the quantitative parameters of temporal diffusion spectroscopy MRI can predict the efficacy of neoadjuvant therapy in HNSCC? Participants will receive head and neck MRI, including T2WI, T1WI, diffusion-weighted imaging (DWI), oscillating gradient spin echo (OGSE) and pulsed gradient spin echo (PGSE) sequence before and after neoadjuvant therapy. There is not a comparison group in our study.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Magnetic Resonance Imaging (MRI) in the Assessment of Head and Neck Squamous Cell Carcinoma (HNSCC) Response#1432756
- DTI & Tractography in Pediatric Tumor Surgery#1262162
- Dual Perfusion Imaging for Characterizing Vascular Architecture of Brain Lesions#1212423
- Identifying Findings on Brain Scans That Could Help Make Better Predictions About Brain Cancer Progression, The GABLE Trial#1198397
- Use of PET-MR in Head and Neck Cancer Patients - Diagnostic and Therapeutic Applications#1075022
Record · ID 1484073
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive