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The value of clinical factors, imaging features and biological characteristics for the prediction of outcome after radiotherapy in larynx cancer.


- candidate number7881
- NTR NumberNTR2263
- ISRCTNISRCTN wordt niet meer aangevraagd.
- Date ISRCTN created
- date ISRCTN requested
- Date Registered NTR26-mrt-2010
- Secondary IDs08-31-10/12 Trialnummer Maastro Clinic
- Public TitleThe value of clinical factors, imaging features and biological characteristics for the prediction of outcome after radiotherapy in larynx cancer.
- Scientific TitleEvaluation of clinical factors, imaging features and biological characteristics in the prediction of survival and local control after radiotherapy in larynx cancer.
- ACRONYM
- hypothesisA model based on the combination of clinical prognostic factors and features extracted from tumor contours from CT-PET and biological characteristics obtained from tissue or blood has a high accuracy to predict overall survival and local control after radiotherapy in larynx cancer.
- Healt Condition(s) or Problem(s) studiedLaryngeal cancer , Radiotherapy, PET scan, Prediction
- Inclusion criteria1. Histological proven larynx cancer;
2. Only primary tumors; no recurrences;
3. Only radiotherapy treatment;
4. 18 years or older.
- Exclusion criteriaOther pathology then squamous cell.
- mec approval receivedno
- multicenter trialyes
- randomisedno
- groupParallel
- TypeSingle arm
- Studytypeobservational
- planned startdate 1-jan-2009
- planned closingdate1-jan-2014
- Target number of participants400
- Interventions1. FDG-PET imaging (pretreatment);
2. Blood sampling (facultative);
3. Tissue sampling (facultative);
4. FDG-PET imaging (posttreatment, facultative).
- Primary outcomeOverall survival.
- Secondary outcome1. Local control;
2. Regional control;
3. Distant metastases.
- TimepointsN/A
- Trial web siteN/A
- statusopen: patient inclusion
- CONTACT FOR PUBLIC QUERIES A. Egelmeer
- CONTACT for SCIENTIFIC QUERIES A. Egelmeer
- Sponsor/Initiator Maastro Clinic
- Funding
(Source(s) of Monetary or Material Support)
Maastro Clinic
- PublicationsN/A
- Brief summaryAccurate prediction of survival and local control can help in the selection of patients for optimized treatment. Therefore it is valuable to develop an accurate, data-driven model to predict overall survival and local control in larynx cancer patients in order to individualize treatment. CTPET-imaging might have a predictive value for response in larynx cancer. In this study CTPET imaging is combined with clinical prognostic factors and blood and tissue characteristics to develop models and corresponding nomograms to predict response sufficiently accurate to use in trials and in the clinic.
- Main changes (audit trail)
- RECORD26-mrt-2010 - 15-apr-2010


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