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Prospective Observational Study to Predict Severe Oral Mucositis Associated With Chemoradiotherapy in Nasopharyngeal Carcinoma Based on Deep Learning

NCT06032767 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 480

Last updated 2024-01-05

No results posted yet for this study

Summary

The goal of this observational study is to apply the CNN-based DL method to extract the three-dimensional spatial information of IMRT dose distribution to predict the occurrence probability of serious radiotherapy and chemotherapy induced oral mucositis(SRCOM), and compare with a model based on dosimetry, NTCP or doseomics to improve the prediction accuracy of SRCOM, thus guiding the clinical planning design, reducing the occurrence probability of OM, and may have the potential value of preventing serious complications and improving the quality of life in patients with nasopharyngeal carcinoma.

Conditions

  • Nasopharyngeal Carcinoma
  • Oral Mucositis

Interventions

OTHER

observational group

patients initially diagnosed with nasopharyngeal carcinoma treated with IMRT

Sponsors & Collaborators

  • Sun Yat-sen University

    lead OTHER

Principal Investigators

  • Fang-Yun Xie, M.D. · Sun Yat-sen University

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-08-14
Primary Completion
2024-09-30
Completion
2024-12-30

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 NCT06032767 on ClinicalTrials.gov