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Baseline MRIs (most all of the 85 dogs had MRI imaging – I’m going school by school to verify that as part of the imaging WG; we will curate according to Paula’s recommendations)
Cases:
Univ of CA-Davis team has 22 MRIs
475753 |
467941 |
355157 |
401059 |
458025 |
406835 |
404856 |
364473 |
410748 |
483125 |
457044 |
468712 |
443214 |
395015 |
475873 |
429924 |
433095 |
402938 |
266885 |
448820 |
360265 |
475461 |
Clinical data, including but not limited to age, breed, sex, diagnosis of glioma subtype, treatment data (eg. Surgery, radiation, chemotherapy, clinical trial, none/euthanasia) – I have an Excel spreadsheet with this data
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The pathology data was generated by my colleagues and I (CBTC glioma board final manuscript.pdf). Roel Verhaak worked with the P30 awardees to generate the molecular data. The MRIs are property of the vet schools who submitted the case material for the pathology and molecular profiling initiatives. Assuming all of them will be ok with submitting to ICDC for the set to be complete across all datatypes.
Univ of CA-Davis team:
Peter J Dickinson <pjdickinson@ucdavis.edu>
Michael S Kent <mskent@ucdavis.edu>