Cheng Meiying1, Tan Shifang1, Zhang Lingjie1, Ren Tian2, Zhang Chunxiang1, Wang Kaiyu3, Li Haiyang4, Shang Honglei1, Chang Hui5, Yang Zhexuan1, Cao Jing6, and Zhao Xin1
1Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Department of Information, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 3MR Research China, GE Healthcare, Beijing, China, 4Department of Medical Equipment, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 5Department of Research, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 6Department of Pathology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
Synopsis
Keywords: Urogenital, MR Value
Most of ovarian
sex cord stromal tumors (OSCSTs) are benign with good prognosis, but low-grade
malignant OSCSTs need special treatment. Correct preoperative diagnoses and accurate
classification remain challenging. We retrospectively analyze the
clinical and imaging characteristics of OSCSTs and found significant biomarkers
such as maximum enhancement ratio (ER
max) and apparent
diffusion coefficient (ADC) for the preoperative diagnosis and classification of common
OSCSTs. It’s more helpful for preoperative diagnosis by combining of MRI and
ultrasound together than by ultrasound alone, and MRI has the similar
diagnostic accuracy as the combination.
Background
Ovarian
sex cord stromal tumors (OSCSTs) are a group of
rare heterogeneous ovarian tumors. The most common ones are ovarian granulosa cell tumor
(OGCTs), fibroma and fibrothecoma. Most of them are benign with good prognosis,
but some are at low-grade malignance with the risk of recurrence and metastasis,
requiring different treatments. MRI and ultrasound are feasible methods for
preoperative diagnosis1. Correct preoperative diagnosis and accurate
classification remain challenging at present due to the rarity and lack
of awareness of OSCSTs1,2. Our objective was to retrospectively
analyze the clinical and imaging characteristics of OSCSTs and to further improve the ability
of preoperative diagnosis and classification.Methods
A total of 71 cases including
18
cases of ovarian OGCTs with 23 neoplasms, 19 cases of fibromas with 22
neoplasms, and 34 cases of fibrothecomas (including thecoma) with 36 neoplasms were retrospectively
included in this study. The clinical characteristics include age, menopausal
status, main symptoms, concomitant symptoms, hormones, and serum tumor markers,
the imaging features include laterality, maximum diameter, signal
characteristics of solid region, apparent diffusion coefficient (ADC) value,
the maximum enhancement rate (ERmax), and ultrasonic echo and color
doppler flow imaging characteristics were analyzed by using Chi-square test and
Kruskal-Wallis H test. Receiver operating curve analyses were performed to
evaluate the diagnostic performance of the significant characteristics.Results
For
clinical characteristics, there was no significant difference in age, main symptoms
and concomitant symptoms (P>0.05), while there was a statistically
significant difference in menopausal status (P<0.05) (Table 1).
For imaging characteristics as shown in Fig. 1,
there were significant differences in MR images including the maximum diameter,
signal characteristics of the solid region, ADC value, ERmax, and
ultrasound echo characteristics among the three groups (P<0.05).
Laterality and color doppler flow imaging characteristics didn’t show
statistical significance (P>0.05) (Table 2, Fig. 2).
The areas under the curves (AUC) of the ERmax between OGCTs and fibroma,
between OGCTs and fibrothecoma, and between fibroma and fibrothecoma
were 0.929, 0.898 and 0.524,
respectively (Fig, 3 above).
The AUC of the MRI, ultrasound and their combination were respectively 0.998,
0.882, and 1.000 in differentiating OGCTs and fibroma. The AUC of the MRI,
ultrasound and their combination were respectively 0.960, 0.645, and 0.969 in
identifying OGCTs from fibrothecoma. The AUC of the MRI, ultrasound and their
combination were respectively 0.918, 0.785 and 0.970 for identifying fibroma
and fibrothecoma (Fig.
3 below). The diagnostic performance of MRI was significantly better than
that of ultrasound (P<0.05), but was similar to that of their
combination (P=0.48,0.43 and 0.12 respectively).Discussion
The clinical characteristics of common OSCSTs were not
statistically different, which were consistent with previous studies3,4,
except for menopausal status, indicating that the clinical characteristics had
no obvious advantage in differential diagnoses. In our study, OGCTs were more
common in the postmenopausal women than the fibrothecoma. This may be due to
the fact that adult OGCT is more common in the perimenopausal period. We found
that E2 elevation was not the most common, and no relevant literature reports
have been found. It is speculated that OSCSTs without theca cells in tumor
stroma account for a relatively high proportion or may be due to the limited
amount of research subjects in this study. Results of the most imaging features
were consistent with previous studies5,6. The ADC value of the
granulosa cell group was significantly lower than those of the fibroma and the
fibrothecoma groups. Although there were differences between the fibroma group
and the fibrothecoma group, the difference was relatively small, indicating that
the cell density of the granulosa cell tumor was higher than those of the
fibroma and fibrothecoma. ADC value might be useful in differentiating OGCT
from fibroma and fibrothecoma. The ERmax of granulosa cell tumor
group was significantly higher than fibroma and fibrothecoma, and the
difference between the latter two groups was not statistically significant.
OGCTs may be more hypervascular. In contrast, most fibroma and fibrothecoma
manifest as more hypovascular tumors, however, their symptoms displayed an overlap. The diagnostic efficacy of MR was better than that of ultrasound. When
MRI was combined with ultrasound, the diagnostic efficacy was improved. But
there was no significant difference in the diagnostic efficacies between MR
alone and the combination.Conclusion
In
conclusion, both MRI and ultrasound are helpful in the preoperative diagnosis
and classification of common OSCSTs, especially the MRI biomarker such as ERmax
and ADC value. In comparison, the performance of MRI is better than ultrasound
alone, but similar to that of the combination of the two modalities. And when
using both MRI and ultrasound, the diagnostic performance is optimal.Acknowledgements
We thank all the study participants.References
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