The purpose of this research study is to learn if differences seen in scans before surgery match differences seen when looking at tumor samples with pathology and genetic tests. In this study we will use Magnetic Resonance Imaging \[MRI\] and Positron Emission Tomography \[PET\] scans. No direct clinical benefits will come from the results of this study.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
26
Memorial Sloan Kettering West Harrison
Harrison, New York, United States
Memorial Sloan Kettering Cancer Center
New York, New York, United States
Genomic markers of spatial heterogeneity
by evaluating spatially explicit phenotypic clusters based on a combination of perfusion, diffusion and metabolic tumor profiles (maps) in both ovarian tumors and metastatic peritoneal/omental implants of patients with HGSOC undergoing primary debulking surgery (PDS).
Time frame: 1 year
Histological and immunohistochemical features
The analyses involving the bioinformatic algorithms will be handled by the Bioinformatics Core. Previously validated bioinformatic algorithms (5, 13, 38) will be used to determine the clonal compositions of the imaging-based phenotypically distinct clusters of HGSOCs, and phylogenetic trees based on allelic frequencies of mutations and copy number aberrations of the primary ovarian tumor and matched metastatic implant will be constructed for each case
Time frame: 1 year
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