A Mucosal Contouring Method Based on Swallowing-induced Breakthrough Pain for Radiation-induced Oropharyngeal Mucositis

NCT ID: NCT06287788

Last Updated: 2024-03-01

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

240 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-03-01

Study Completion Date

2026-12-31

Brief Summary

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The performance of the predictive models for severe oropharyngeal mucositis established using current oral mucosal contouring method was unsatisfactory in nasopharyngeal carcinoma (NPC). Whereas the predictive model of a mucosal contouring method based on swallowing-induced breakthrough pain exhibited better overall performance. The aim of this prospective, multicenter, observational study was to further explore the predictive efficacy of this mucosal delineation method for radiation-induced oropharyngeal mucositis in NPC.

Detailed Description

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Nasopharyngeal carcinoma (NPC) is particularly prevalent in southern China. Radiation-induced oropharyngeal mucositis is one of the most common acute toxicities in patients with NPC receiving radiotherapy. Swallowing-induced breakthrough pain is a prominent clinical challenge for radiation-induced oropharyngeal mucositis, which has a great impact on patients' quality of life and treatment outcomes. Nonetheless, no particularly effective therapeutic methods or medication are available currently, thus making timely and accurate prediction, identifying high-risk patients, and providing appropriate interventions are critical in reducing or delaying the occurrence of severe oropharyngeal mucositis. It has been found that the performance of the predictive models for severe oropharyngeal mucositis established using either oral cavity contouring method or mucosa surface contouring method was unsatisfactory in NPC. The investigators defined a delineation method based on the mucosal areas of radiation-induced injury resulting in swallowing-induced breakthrough pain in locally advanced NPC, and our preliminary results demonstrated that the predictive model exhibited better overall performance. Therefore, the investigators aimed to conduct a prospective, multicenter, observational study to further explore the predictive efficacy of this mucosal delineation method for radiation-induced oropharyngeal mucositis in NPC.

Conditions

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Radiation-induced Oropharyngeal Mucositis Swallowing-induced Breakthrough Pain

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

1. Provide informed written consent.
2. Age ≥ 18 years.
3. Histologically confirmed as nasopharyngeal carcinoma, and currently undergoing radical radiotherapy or chemoradiotherapy.
4. Complete and continuous records of oral / oropharyngeal mucositis grading, and self-reported swallowing-induced breakthrough pain.

Exclusion Criteria

1. Existence of poor oral hygiene, untreated dental or periodontal diseases, and metal dental restorations.
2. Current untreated or unresolved conditions like unstable heart diseases requiring treatment, and poorly controlled diabetes mellitus.
3. Body mass index (BMI) \<18.5.
4. Unsuitable to participate in current study, according to researchers' assessment.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Nanfang Hospital, Southern Medical University

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Jian Guan, Ph.D.

Role: PRINCIPAL_INVESTIGATOR

Nanfang Hospital, Southern Medical University

Locations

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Southern Medical University

Guangzhou, Guangdong, China

Site Status RECRUITING

Countries

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China

Central Contacts

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Jian Guan, Ph.D.

Role: CONTACT

+86-13632102247

Facility Contacts

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Jian Guan, Ph.D.

Role: primary

86+13632102247

Other Identifiers

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NFEC-2024-068

Identifier Type: -

Identifier Source: org_study_id

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