Title:Histogram Feature Analysis of Tumor Body on Diffusion-weighted MR Imaging
in Differentiation between Granulosa Cell Tumors and Other Sex-cord Tumors
in Ovary: Comparison with Histological Results
Volume: 20
Author(s): Minjie Wu, Tianping Wang, Feiran Zhang, Yida Wang, Guofu Zhang, Minhua Shen and He Zhang*
Affiliation:
- Department of Radiology, Obstetrics and Gynecology Hospital, Fudan University, P.R. China
Keywords:
Granulosa cell tumor, Magnetic resonance imaging, Diffusion-weighted imaging, Ovarian neoplasm, Tumor body, Sex cord tumors.
Abstract:
Objective:
We aimed to differentiate granulosa cell tumors (GCT) from other ovarian sex-cord tumors (OSCs) based on feature analysis of the tumor body on
MR imaging.
Methods:
We retrospectively enrolled 27 patients with pathologically proven sex-cord tumours (14 GSTs, 8 fibromas, 4 fibrothecomas, and 1 sclerosing
stromal tumour) from our institution. All MRI examinations were performed at least one month prior to surgery. MR image features were recorded
by two radiologists with consensus readings. Histogram analysis was performed using FeAture Explorer software. The differences in histogram
parameters between GCT (38.1 ± 14.6 years) and OSC (43.7 ± 18.0 years) groups were compared. Fourteen randomly selected cellular-type
myomas who also underwent MRI in our hospital were considered as the control group. The intra-operator consistency of ADC value was
evaluated across measurements twice.
Results:
The repeatability of conventional ADC measurements on the tumor body was good. The values of ADC-mean, ADC-min, and ADC-max
significantly differed across three groups (p < 0.001). The histogram variance on DWI, histogram percentage on T2WI, and ADC min showed the
best discriminative performance in determining GCTs from other OSCs with an area under the receiver operator curve (AUC) of 0.997, 0.882, and
0.795, respectively. The histogram variance on DWI yielded a sensitivity of 92.3%, a specificity of 100%, and an accuracy of 96.6% in
discriminating GSTs from other OSCs.
Conclusion:
In the present study, feature analysis of tumor body MR imaging has helped to differentiate GST from OSC with better performance than
conventional ADC measurements.
