Abstract #0708
Histogram analysis of intravoxel incoherent motion (IVIM)-MRI and FDG-PET parameters in breast cancer patients
Eric Edward Sigmund 1 , Linda Moy 1 , Jin Ah Kim 1 , Sungheon Kim 1 , Akshat Pujara 1 , Alana Amarosa 1 , Komal Jhaveri 2 , James Babb 1 , Christian Geppert 3 , Christopher Glielmi 3 , Gene Young Cho 1 , Thorsten Feiweier 4 , Kimberly Jackson 1 , and Amy Melsaether 1
1
Radiology, NYU Langone Medical Center, New
York, NY, United States,
2
Oncology,
NYU Langone Medical Center, New York, NY, United States,
3
Siemens
Medical Solutions, New York, NY, United States,
4
Healthcare
Sector, Siemens AG, Erlangen, Germany
Histogram analysis of intravoxel incoherent motion (IVIM)-MRI
and FDG-PET parameters in breast cancer patients
Diffusion-weighted MRI, particularly its
vascular-sensitive variant intravoxel incoherent motion
(IVIM), and 18F-fluorodeoxyglucose positron emission
tomography (FDG-PET) are powerful individual probes of
aggressiveness in breast cancer, with potential
synergies on the simultaneous MR/PET platform. To
investigate their complementarity, we studied the
relationships between metrics from full lesion histogram
analysis (mean, maximum, minimum, standard deviation,
skewness, and kurtosis) of their respective parametric
maps, as well as with clinical tumor markers. A cohort
of 14 breast cancer patients with a dedicated breast
coil were included. Results confirm canonical malignancy
trends such the inverse relation between minimum ADC and
maximum SUV (r=0.5), relations between markers
heterogeneity metrics. Multiple regression models
suggest combinations of mean, extremal, and variance
metrics improve correlation with tumor markers,
suggesting potential for imaging surrogates to tumor
profile evaluation.
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