Prediction of Esophageal and Lung Toxicities After Radiation (Chemo) Therapy for Lung Cancer Management
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Lung Cancer
- Sponsor
- University Hospital, Brest
- Enrollment
- 167
- Locations
- 1
- Primary Endpoint
- Prediction of Acute Pulmonary Toxicity
- Status
- Completed
- Last Updated
- 5 years ago
Overview
Brief Summary
(Chemo)-radiotherapy is the gold standard therapeutic treatment for patients with locally advanced lung cancer non accessible or ineligible for surgery. While some progress occurred regarding progression free survival and overall survival thanks to recent advances (i.e., durvalumab), prediction of pulmonary and esophageal toxicity, remains insufficiently accurate. Current dose-volume histograms (DVH) do not account for spatial dose distribution and strict application of current dose constraints does not prevent toxicity events in some of the treated patients. The goal of this work was to investigate the added predictive value of the radiomics approach applied to dose maps regarding acute and late toxicity in both lungs and the esophagus.
Investigators
Eligibility Criteria
Inclusion Criteria
- •Patients treated by (chemo)-radiotherapy for a primary lung cancer by radiotherapy
Exclusion Criteria
- •Incomplete treatment
Outcomes
Primary Outcomes
Prediction of Acute Pulmonary Toxicity
Time Frame: Up to 6 months
The model's performance will be evaluated based on the observed rate of Acute Pulmonary Toxicity using classification metrics (area Under the curve, balanced accuracy).
Prediction of Late Oesophageal Toxicity
Time Frame: Between 6 months and 2 years after radiotherapy
The model's performance will be evaluated based on the observed rate of Late Oesophageal Toxicity using classification metrics (area Under the curve, balanced accuracy).
Prediction of Acute Oesophageal Toxicity
Time Frame: Up to 6 months
The model's performance will be evaluated based on the observed rate of Acute Oesophageal Toxicity using classification metrics (area Under the curve, balanced accuracy).
Prediction of Late Pulmonary Toxicity
Time Frame: Between 6 months and 2 years after radiotherapy
The model's performance will be evaluated based on the observed rate of Late Pulmonary Toxicity using classification metrics (area Under the curve, balanced accuracy).