Lung Cancer Clinical Trial
— PTOP-RTOfficial title:
Prediction of Esophageal and Lung Toxicities After Radiation (Chemo) Therapy for Lung Cancer Management
Verified date | July 2020 |
Source | University Hospital, Brest |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
(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.
Status | Completed |
Enrollment | 167 |
Est. completion date | July 31, 2020 |
Est. primary completion date | July 31, 2020 |
Accepts healthy volunteers | |
Gender | All |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: - Patients treated by (chemo)-radiotherapy for a primary lung cancer by radiotherapy Exclusion Criteria: - Incomplete treatment |
Country | Name | City | State |
---|---|---|---|
France | CHRU Brest | Brest | Finistère |
Lead Sponsor | Collaborator |
---|---|
University Hospital, Brest |
France,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Prediction of Acute Pulmonary Toxicity | 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). | Up to 6 months | |
Primary | Prediction of Late Pulmonary Toxicity | 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). | Between 6 months and 2 years after radiotherapy | |
Primary | Prediction of Acute Oesophageal Toxicity | 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). | Up to 6 months | |
Primary | Prediction of Late Oesophageal Toxicity | 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). | Between 6 months and 2 years after radiotherapy |
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