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A Study on Predictive Models and Clinical Outcome of Radiation Pneumonitis

A Multicenter Prospective Observational Study on Predictive Models and Clinical Outcome of Radiation Pneumonitis

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05448703
Enrollment
300
Registered
2022-07-07
Start date
2021-02-25
Completion date
2026-09-01
Last updated
2022-10-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Radiation Pneumonitis

Brief summary

Radiation pneumonitis is the main dose-limiting toxicity of thoracic radiotherapy, which can affect life quality, survival, and the tumor-controlling effects of patients receiving thoracic radiotherapy. The purpose of this study is to: * Identify biomarkers including serum proteins, gene expression, genetic changes, and epigenetic modifications that determine radiation pneumonitis. * Investigate the relationship between radiation pneumonitis and other toxicities induced by radiotherapy. * Construct a predictive model for radiation pneumonitis. * Evaluate survival and treatment outcome of patients with radiation pneumonitis.

Detailed description

1. Collect clinical information, CT images, and peripheral blood of the lung cancer patients treated with thoracic radiotherapy in Tongji Hospital, Hubei Cancer Hospital, and Jingjiang People's Hospital. 2. Follow up the enrolled patients. All patients enrolled in this study are examined during and one month after radiotherapy. Then, the patients are followed every three months for the first year and every six months thereafter. At each follow-up visits, all patients are asked to undergo a chest CT, and information including survival status, symptoms, CT images, and treatment is collected. Radiation pneumonitis and other toxicities induced by radiotherapy are graded by two radiation oncologists according to the Common Terminology Criteria for Adverse Events 4.0 (CTCAE4.0). 3. Detect serum proteins, gene expression profile, single-nucleotide polymorphisms, and epigenetic modifications that may be associated with radiation pneumonitis. 4. Screen biomarkers that are associated with radiation pneumonitis via univariate and multivariate Cox regression analysis. 5. Construct a predictive model of radiation pneumonitis based on clinical information, radiomics, and biomarkers via machine learning or Least absolute shrinkage and selection operator. 6. Use Kaplan-Meier and Cox model to analyze the association of radiation pneumonitis with survival and efficacy of antitumor treatment. 7. Identify biomarkers and predictors of other toxicities induced by radiotherapy including radiation esophagitis, cardiotoxicity and radiodermatitis.

Interventions

blood sample to be taken at baseline, during radiotherapy, and after radiotherapy

Sponsors

Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology
CollaboratorUNKNOWN
Jingjiang People' Hospital
CollaboratorUNKNOWN
Huazhong University of Science and Technology
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

1. Clinical diagnosis of lung cancer by histology 2. Radiation dose at least 45 Gy 3. Karnofsky \>60 4. Age\>18 5. Life expectancy of at least 6 months

Exclusion criteria

1. Previous thoracic irradiation 2. Severe cardiopulmonary diseases

Design outcomes

Primary

MeasureTime frameDescription
Radiation pneumonitis12 months after radiotherapyradiation pneumonitis grade \>=2 or 3 graded by CTCAE4.0. \[Time Frame: 12 months after radiotherapy\]
Overall Survival5 years after radiotherapyA long-term follow up will be scheduled to allow a complete survival analysis.

Secondary

MeasureTime frameDescription
Other injuries induced by radiotherapy5 years after radiotherapyAssessment of other common injuries induced by thoracic radiotherapy including injuries in heart, skin, and esophagus according to CTCAE4.0.

Countries

China

Contacts

Primary ContactXianglin Yuan, PhD
yuanxianglin@hust.edu.cn+8613667241722
Backup ContactLingyan Xiao, MD
lingyan.xiao123@gmail.com+8615971474885

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026