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Development of Intelligent Model for Radioactive Brain Damage of Nasopharyngeal Carcinoma Based on Radio-metabolomics

NCT05547971 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 800

Last updated 2022-09-21

No results posted yet for this study

Summary

This project focuses on the early prediction and diagnosis of radiation-induced brain injury in nasopharyngeal carcinoma patients. Based on the big data of imaging and serum metabonomics samples, combined with the machine learning analysis method， dynamic evolution mode of radio-metabolomics characteristics was analyzed . The potential internal relationship between brain structure and serum metabolic changes was explored, and the individualized prediction model was constructed to screen out the high-risk patients with brain injury after tumor radiotherapy, so as to provide reference for the diagnosis of radiation-induced brain injury caused by tumor. radiotherapy Intelligent diagnosis provides a new theoretical and practical basis.

Conditions

  • Nasopharyngeal Carcinoma

Interventions

RADIATION

intensity-modulated radiation therapy

The patients got intensity-modulated radiation therapy during observation

Sponsors & Collaborators

  • Xiangya Hospital of Central South University

    lead OTHER

Principal Investigators

Eligibility

Min Age
20 Years
Max Age
65 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-09-30
Primary Completion
2023-06-30
Completion
2023-06-30

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05547971 on ClinicalTrials.gov