Radiomics for Prediction of Long Term Survival and Local Failure After Stereotactic Radiotherapy for Brain Metastases
NCT ID: NCT02265549
Last Updated: 2018-01-26
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
155 participants
OBSERVATIONAL
2014-05-31
2014-09-04
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
RETROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
ALL
No
Sponsors
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Maastricht Radiation Oncology
OTHER
Responsible Party
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Locations
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Maastro Clinic
Maastricht, , Netherlands
Countries
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References
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Zindler JD, Rodrigues G, Haasbeek CJ, De Haan PF, Meijer OW, Slotman BJ, Lagerwaard FJ. The clinical utility of prognostic scoring systems in patients with brain metastases treated with radiosurgery. Radiother Oncol. 2013 Mar;106(3):370-4. doi: 10.1016/j.radonc.2013.01.015. Epub 2013 Mar 20.
Rodrigues G, Zindler J, Warner A, Lagerwaard F. Recursive partitioning analysis for the prediction of stereotactic radiosurgery brain metastases lesion control. Oncologist. 2013;18(3):330-5. doi: 10.1634/theoncologist.2012-0316. Epub 2013 Feb 19.
Aerts HJ, Velazquez ER, Leijenaar RT, Parmar C, Grossmann P, Carvalho S, Bussink J, Monshouwer R, Haibe-Kains B, Rietveld D, Hoebers F, Rietbergen MM, Leemans CR, Dekker A, Quackenbush J, Gillies RJ, Lambin P. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun. 2014 Jun 3;5:4006. doi: 10.1038/ncomms5006.
Other Identifiers
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Radiomics SRT 09-2014
Identifier Type: -
Identifier Source: org_study_id
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