The researchers are doing this study to find out whether the researchers can combine information provided by PET/MRI scans with information from tests on blood and tissue samples to develop a very detailed description (profile) of high-grade serous ovarian carcinoma (HGSOC), which could improve our ability to treat this disease. The study researchers will use computers to analyze the combined results of the imaging tests and the genetic and immune system tests on the tumor samples. The study researchers think that this information will help them more accurately predict the way tumors respond to treatment, which may improve their ability to individualize treatments for this disease.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
10
Imaging will include research PET/MRI of pelvis within 30 days of multiregion tissue collection.For research PET/MRI - standard volumes of gadolinium contrast and fluorodeoxyglucose (FDG) will be administered.
Standard of care contrast enhanced CT
Memorial Sloan Kettering Cancer Center (All Protocol Activities)
New York, New York, United States
Comparison between radiologist tumor segmentation
Radiologist-defined tumor volumes will be used to train and validate a machine learning algorithm for generating segmentations. The data will be split into 70%-30% of training and test sets, respectively. The comparisons will be performed on a slice-by-slice and lesion-bylesion basis, which should ensure sufficient numbers of examples for testing.
Time frame: 1 year
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