Aims and objectives
To determine whether MR imaging features combining with ADC values could be used as a tool for categorizing OEC and predicting survival and correlate with laboratory tests (serum cancer antigen 125 and tumor proliferative index Ki67 expression).
Methods and materials
MRI examination was prospectively underwent before invasive procedure.
MRI features were interpreted and recorded on picture archive communication system.
ADC measurements were manually performed on post-process workstation.
Clinical characteristics were individually retrieved and recorded through hospital information system.
Cox hazard model was used to estimate the effects of both clinical and MRI features on overall survival.
Results
Both clinical and MRI features differed significantly between Type I and Type II cancer groups (p < 0.05). The mean ADC value was inversely correlated with Ki-67 expression in Type I cancer (ρ = - 0.14,
p <0.05).
A higher mean ADC value was more likely to suggest Type I ovarian cancer (Odds Ratio (OR) = 16.80,
p < 0.01).
Old age and an advanced FIGO stage were significantly related to Type II ovarian cancer (OR = 0.22/0.02,
p < 0.05).
An advanced FIGO stage,...
Conclusion
MR imaging features combined ADC values are helpful in categorizing OEC.
ADC values can reflect tumor proliferative ability.
A solid mass may predict poor prognosis for OEC patients.
Personal information
He Zhang1,
Xuefen Liu1,
Jun Jin2,
Peng Zhang1,
Xiang Tao2,
Yu Bai3,
Keqin Hua4,
Weigen Yao5,
Guofu Zhang1*
1.
Department of Radiology,
Obstetrics and Gynecology Hospital,
Fudan University,
P.R.China
2.
Department of Pathology,
Obstetrics and Gynecology Hospital,
Fudan University,
P.R.China
3.
Center for Child and Family Policy,
Duke University,
USA
4.
Department of Gynecology,
Obstetrics and Gynecology Hospital,
Fudan University,
P.R.China
5.
Department of Radiology,
Yuyao people’s hospital,
Zhejiang province,
P.R.China
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