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Spots Global Cancer Trial Database for Image Assisted Optimization of Proton Radiation Therapy in Chordomas and Chondrosarcomas

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Trial Identification

Brief Title: Image Assisted Optimization of Proton Radiation Therapy in Chordomas and Chondrosarcomas

Official Title: Defining Optimal Imaging Strategies for Diagnosis, Treatment, and Treatment Evaluation of Chordomas and Chondrosarcomas of the Axial Skeleton

Study ID: NCT04832620

Interventions

Study Description

Brief Summary: Rationale: Chordomas and chondrosarcomas located in the axial skeleton are malignant neoplasms of bone. These tumors share the same clinical challenges, as the effect of the disease is more a function of their local aggressiveness than their tendency to metastasize (20% metastasize). The local aggressive behavior can cause debilitating morbidity and mortality by destruction of nearby located critical neurovascular structures. Imaging has, in addition to histopathology, a role in diagnosis and in guiding (neo)adjuvant and definitive treatment. Despite the low sensitivity to radiotherapy, proton radiotherapy has been successfully used as an adjunct to resection or as definitive treatment for aggressive chordomas and chondrosarcomas, making it a standard indication for proton therapy in the Netherlands. Chordomas and chondrosarcomas consist, especially after previous therapy, of non-viable and viable tumor components. Identification of these viable components by functional imaging is important to determine the effect of previous therapy, as change in total tumor volume occurs more than 200 days after change of functional imaging parameters. Objective: The main objective of this study is to determine if functional MRI parameters change within 6 months, and earlier than volumetric changes after start of proton beam therapy. This would allow timely differentiation between affected and unaffected (viable) tumor components, which can be used for therapy adjustment. Secondary objectives: Determine which set of parameters (PET-CT and secondary MRI) can predict clinical outcome (tumor specific mortality, development of metastases, morbidity secondary to tumor activity and morbidity secondary to treatment); determine what type of imaging can accurately identify viable tumor nodules relative to critical anatomical structures; improving understanding of relevance of changing imaging parameters by correlating these with resected tumor. Study design: Prospective cohort study Study population: LUMC patients diagnosed with primary or recurrent chordoma or chondrosarcoma in the axial skeleton. A number of 20 new patients per year is expected. Main study parameters: Volumetric and functional MR imaging parameters including permeability parameters. Secondary parameters are generated by PET-CT (SUV, MTV and TLG), MR (perfusion, permeability and diffusion), therapy (proton beam dose mapping, surgery) and clinical outcome. End points are disease specific survival, progression free survival (including development of metastases), side effects of treatment, and functional outcome (see CRF). In patients who are treated with surgical resection following neo-adjuvant therapy, the surgical specimen will be correlated with imaging findings. Nature and extent of the burden and risks associated with participation, benefit and group relatedness: Treatment and clinical management will not be affected in this study, thus the additional burden, risks, and benefits associated with participation in this study are minimal. Two extra MRI and one PET-CT examination will be planned during proton therapy.

Detailed Description:

Eligibility

Minimum Age: 50 Years

Eligible Ages: ADULT, OLDER_ADULT

Sex: ALL

Healthy Volunteers: No

Locations

HollandPTC, Delft, South Holland, Netherlands

LUMC, Leiden, South Holland, Netherlands

Contact Details

Name: Stijn Krol, MD PhD

Affiliation: LUMC/HollandPTC

Role: PRINCIPAL_INVESTIGATOR

Name: Hans Bloem, prof. MD PhD

Affiliation: LUMC

Role: PRINCIPAL_INVESTIGATOR

Useful links and downloads for this trial

Clinicaltrials.gov

Google Search Results

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