Jl. Hilton et al., Magnetic resonance image attributes of the ovarian follicle wall during development and regression, BIOL REPROD, 65(4), 2001, pp. 1067-1073
We analyzed image characteristics in T-1-, T-2-, and diffusion-weighted in
vitro magnetic resonance (MR) images acquired at predefined stages of the o
varian cycle in 36 heifers to test the hypothesis that MR image attributes
of the follicle wall reflect the physiologic status of ovarian follicles (v
iable, atretic, dominant, subordinate). Numerical pixel values (NPV), stand
ard deviation of pixel values (heterogeneity), and area under the curve wer
e used to assess images of follicle walls. Pixel values of the wall were us
ed to calculate a regression line from which intercept, slope, and coeffici
ent of determination were calculated. In T-1 images, NPV of dominant follic
les were less likely to fit a regression line at the preovulatory phase tha
n at any other phase (P < 0.1). Preovulatory dominant follicles had lower a
rea under the curve in diffusion-weighted images than early and late static
dominant follicles of the anovulatory wave (P < 0.02). Subordinate follicl
es in the presence of a preovulatory dominant follicle had lower mean NPV i
n T-1- and T-2-weighted images and lower intercepts in T-1-weighted images
than subordinate follicles of the anovulatory wave (P < 0.02). Early atresi
a of dominant follicles was identified at the late static phase by greater
area, mean NPV, and slope in T-2-weighted images (P < 0.02). Preovulatory d
ominant follicles had poor fit of NPV to a regression line in T-1-weighted
images and lower area under the curve in diffusion images. Atretic follicle
s had brighter walls with more acute transitions from follicular fluid to s
troma in T-2-weighted images and more heterogeneous walls in diffusion imag
es. The MR image attributes of the follicle wall reflected the physiologic
status of dominant and largest subordinate follicles.