Value of 3.0 T diffusion-weighted imaging in discriminating thecoma and fibrothecoma from other adnexal solid masses
© Zhang et al.; licensee BioMed Central Ltd. 2013
Received: 23 May 2013
Accepted: 18 August 2013
Published: 21 August 2013
To investigate the value of diffusion-weighted imaging (DWI) at 3.0 T (3T), and especially the apparent diffusion coefficient (ADC), in discriminating ovarian thecoma from other adnexal solid masses.
Eighteen thecomas or fibrothecomas, 14 ligamentous leiomyomas, and 24 other ovarian solid tumors underwent prospective DWI magnetic resonance imaging (MRI) in addition to routine MRI on a 3T MRI machine. The baseline characteristics, components, and conventional MRI and DWI-MRI signals for the thecomas were recorded. The ADC values (ADCs) were measured for each group and compared.
The thecomas often appeared as homogeneous isointensity (17/18) on T1-weighted images (T1WI; 11/18) or T2WI (11/18) on DWI-MRI, with minor (9/18) or mild (6/18) enhancement. The mean ADC value for thecoma (1.20 ± 0.45 × 10−3 mm2/s) was almost equal to that of the other solid ovarian masses (1.26 ± 0.51 × 10−3 mm2/s), but lower than that for leiomyoma (1.48 ± 0.42 × 10−3 mm2/s), although not significantly so. There was a significant difference (p = 0.043) in the ADCs of the benign ovarian solid masses (1.16 ± 0.47 × 10−3 mm2/s) and leiomyomas (1.48 ± 0.42 × 10−3 mm2/s).
There is no significant difference in ADC between thecoma and other adnexal solid masses, but the ADCs of thecomas are lower than those of leiomyomas.
KeywordsThecoma Ovarian solid mass Magnetic resonance imaging Diffusion-weighted imaging
Thecomas are rare, solid sex-cord stromal ovarian tumors, and account for approximately 0.5%–1% of primary ovarian lesions . Although thecomas are often mixed with fiber components (then called “fibrothecomas”), thecomas and fibrothecomas are now considered to originate from the ovarian medulla, with a different etiology from fibromas, which originate from the cortex . Because their prevalence is so low, the imaging features of thecomas are still not fully known [3, 4]. Thecoma and fibrothecoma are the most common solid primary ovarian tumors and are frequently misdiagnosed as uterine fibroids . Therefore, a better understanding of the imaging features of thecoma is of paramount importance for radiologists to ensure a correct preoperative diagnosis of this disease. Magnetic resonance imaging (MRI) is a second-line imaging modality with superb soft-tissue resolution that is widely used in the clinical context to examine any adnexal masses that are indeterminate on either palpation or ultrasonography(US), with promising results [6–9]. In recent studies, perfusion-MRI and diffusion-weighted imaging (DWI)-MRI have been used to distinguish malignant ovarian tumors from benign conditions [10, 11]. However, to the best of our knowledge, 3.0 Tesla (3T) DWI-MRI evaluation of thecomas has not yet been reported. Therefore, by evaluating thecomas on a 3T MRI unit in this study, we aimed to: (1) describe the DWI characteristics of thecomas and record the apparent diffusion coefficient (ADC) for each lesion; (2) compare these features with those of adnexal leiomyomas and other primary and secondary solid ovarian tumors to determine whether DWI-MRI is useful in the differentiation of thecomas from other solid adnexal masses.
The details of histopathological results in 56 solid adnexal lesions detected on 3T MRI
Numbers of lesions
Thecoma and fibrothecoma
Other solid ovarian mass
Clear cell adenocarcinoma
Granular cell tumor
Recurrent solid ovarian cancer
Details of parameters for MRI imaging protocols
Repetition/echo time (msec)
Field of view (mm)
320 × 224
256 × 224
256 × 224
96 × 130
320 × 224
Flip angle (degrees)
MRI image analysis
The MRI characteristics of each thecoma were recorded separately, including the following items: 1) lesion components (cystic, solid, cyst with septum, cyst with solid components, cyst with septum and solid components); 2) signal intensity on T1WI/T2WI and DWI-MRI was evaluated and recorded (hypo-, iso-, or hyperintensity on T1WI; hypo-, iso-, or hyperintensity on T2WI; low, intermediate, and high signal on DWI images). On T1WI, hypo-, iso-, and hyperintensity were similar for the pelvic fluid, pelvic wall muscle, and fat signal; on T2WI, hypo-, iso-, and hyperintensity were similar for the pelvic bone, pelvic wall muscle, and fat signal; on b = 700 mm–2/s DWI images, the low, intermediate, high signal intensities were similar for the pelvic bone, myometrium, and endometrium. After the intravenous injection of the contrast medium, the degree of lesion enhancement was graded as follows: 1, minor enhancement (clearly less than the myometrium); 2, mild enhancement (less than the myometrium); 3, moderate enhancement (similar to the myometrium); or 4, severe enhancement (more than the myometrium). Two observers (G.F.Z. and H.Z with 15 and 7 years of experience in gynecological imaging, respectively), who were blinded to the histological results, independently analyzed all the MRI datasets for each participant on a PACS terminal server. Consensus was achieved for any interobserver discrepancies in the evaluation of the adnexal lesions or G.F.Z.’s decision was arbitrarily accepted.
The ADCs were calculated by one observer (H.Z.) on a commercially available postprocessing workstation (GE Advantage Workstation 4.3, General Electric Healthcare, Milwaukee, WI, USA). Regions of interest were drawn manually in both the cystic and solid areas, with no more than three sites in each lesion on b = 700 mm–2/s DWI-MRI images. A circle or ellipsis with an area range of 160–320 mm2 was placed centrally in the targeted region. Only the lowest ADC value was used for the subsequent statistical analysis.
Continuous variables were expressed as means ± standard deviation (SD) or as medians ± numerical ranges and compared with an unpaired t test if normally distributed (Mann–Whitney test if not normally distributed). SPSS version 13.0 (SPSS Inc., Chicago, USA) was used to perform all statistical analyses. A p value of less than 0.05 indicated a statistically significant difference.
Results and discussion
Baseline characteristics and ADC values of 56 patients with pathologically proven solid adnexal masses
59.9 ± 10.8*
66.6 ± 46.0
1.20 ± 0.45
47.8 ± 16.5
53.2 ± 21.0
1.48 ± 0.42
Other solid ovarian mass
54.6 ± 14.8
70.3 ± 42.1
1.26 ± 0.51
54.6 ± 14.6
64.8 ± 39.3
1.30 ± 0.47
1.15 (0.50- 2.50)
The details of baseline and MRI characteristics of 18 histologically proven thecoma and fibrothecoma in 18 patients
Maximum diameter (mm)
MR signal (T1WI/T2WI/Enhancement)
Comparison with other solid ovarian masses
Baseline characteristics and ADC values (mean ± SD) of 42 patients with pathologically proven other solid ovarian masses
60.7 ± 10.2*
62.3 ± 42.2
1.16 ± 0.47
52.3 ± 15.4
76.4 ± 44.5
1.33 ± 0.48
56.9 ± 13.3
68.7 ± 43.3
1.24 ± 0.48
The statistically significant difference ( p value) of baseline characteristics and ADC values within three groups in 56 patients with pathologically proven solid adnexal masses
Thecoma vs Leiomyoma
Leiomyoma vs Other solid mass
Thecoma vs Other solid mass
Benign vs Malignant
Leiomyoma vs Benign
Leiomyoma vs Malignant
Ovarian thecoma is a solid ovarian tumor of gonadal stromal-cell origin, although cystic degeneration and varying degrees of edema can be observed in larger lesions [3–5]. Generally, ovarian thecoma is considered a benign disease, although some anecdotal malignant cases have been reported [2, 3]. It is sometimes difficult to differentiate these solid tumors from broad ligament leiomyomas because their imaging features on ultrasound are similar . Ascites and pleural effusions accompanying the tumor (Meigs syndrome) may be present in some cases , prompting an easy misdiagnosis of ovarian cancer. From this perspective, radiologists must be thoroughly familiar with the imaging characteristics of these tumors to ensure their capacity to make a correct preoperative diagnosis. When we searched the literature, we found that studies focusing on the MRI features of thecomas or fibrothecomas were alarmingly limited, although MRI has been widely used in the clinical context for any ovarian masses that are indeterminate on computed tomography or US. In this study, we analyzed 18 cases of histologically proven thecoma and fibrothecoma with conventional MRI and DWI. To our knowledge, no study of ovarian thecoma in a large cohort sample with 3T MRI has previously been published.
In this study, the mean age at onset of thecoma was 59.9 years and 16 patients (88.9%) were in the postmenopausal period. Our results are consistent with the literature in that thecoma predominantly affects postmenopausal women, with a mean age of 59 years [2, 3]. The peak incidence occurred significantly later in the thecoma group than in the intraligamentous leiomyoma group (47.8 years; p = 0.018). In this study, the lesions most often accompanying thecoma were uterine fibroids or intraligamentous leiomyoma (4/18). In the 19 cases studied by Li XC et al., endometrial abnormalities (two cases with hyperplasia and one case with endometrial carcinoma) accompanying the thecoma were described as resulting from elevated levels of estrogen . In contrast to other studies [3, 4, 14], we observed no ascites or pleural effusions in this study. The mechanisms underlying these phenomena still require clarification, but they may be related to the hormonal activity of the thecoma.
According to the MRI findings in the present study, all the thecomas were solid-component masses, regardless of the lesion size, except for one cystic and solid mass, with a pathological diagnosis of luteinized thecoma, which is described in the literature as a rare condition . In another study of 19 patient samples, the authors reported four lesions that presented as mostly cystic masses on cross-sectional imaging , which could represent cystic degeneration or stromal edema. In these cases, it is often impossible to distinguish these tumors from ovarian epithelial tumors. Most of the thecomas examined in our study appeared homogeneously isointense either on T1WI (17/18, 94.4%) and T2WI (11/18, 61.1%) or on DWI-MRI (11/18, 61.1%). However, we did find that the larger lesions (four lesions > 100 mm in maximum diameter) displayed a more heterogeneous signal on T2WI (appearing as an iso–hyperintense signal) than did the smaller tumors. Our observations are basically consistent with those of the studies in the literature [3–5]. In a study of 12 fibromas and fibrothecomas, Troiano et al. reported that the patchy high signal on the T2WI images (representing cystic degeneration) occurred centrally or eccentrically, whereas the low signal (representing many fibro or thecal cellular components) was more often peripheral . We also noted this characteristic in the two largest tumors (Figure 2). Because this feature is never present in ovarian epithelial tumors, it may be an important MRI clue to the etiology of the mass if this is unclear from well-documented morphological criteria. In terms of lesion enhancement, Shinagare et al. studied the MRI characteristics of 25 ovarian fibromas and 10 fibrothecomas, and demonstrated that the average maximum percentage enhancement of the fibromas and fibrothecomas was significantly lower than the enhancement of the myometrium and fibroids . Of the 18 tumors examined in the present study, 15 (83.3%) showed weak enhancement relative to that of the myometrium. Thus, our results corroborate the view that most thecomas show minor enhancement, which may be useful in discriminating them from broad ligament fibroids.
DW-MRI is a functional imaging technique that provides information about water mobility (Brownian movement), tissue cellularity, and the integrity of cellular membranes, and is gradually becoming part of the standard imaging protocols used to evaluate obstetric and gynecological diseases . The combination of conventional MRI and DWI-MRI could improve lesion detection and the better categorization of adnexal lesions , and with the advantages of a contrast-free technique and a shorter acquisition time (1–2 min), the use of the DWI-MRI sequence can easily be added to routine imaging protocols. To the best of our knowledge, no DWI-MRI evaluation of thecomas in relatively larger numbers of patients and their comparison with adnexal leiomyomas has been reported until now. In the present study, most thecomas (11/18, 61.1%) displayed intermediate signals (similar to that of the myometrium) on DWI-MRI, which may be attributable to the presence of many fibroblasts and thecal cells . Because thecomas are benign in nature, their DWI-MRI characteristics may differ from those of malignant ovarian tumors. In a study of 140 primary ovarian lesions, the authors reported that most of the malignant tumors (27/42) produced a high signal on DWI-MRI . In the present study, the mean ADC for the thecoma group was lower than that of the leiomyoma group or that of the other solid ovarian masses, although none of these differences were significant. In contrast to our study, Bakir et al. reported that the mean ADC for fibrothecoma was higher than that for ordinary leiomyoma . The assessment of only two fibrothecomas in that study may be responsible for this discrepancy. The utility of ADC in the categorization adnexal solid lesions has been reported in only a few studies [11, 18, 19], so the conclusions still are contentious because different b values were selected, varying pathologies were examined, and the samples studied had different volumes. In this study, the ADCs for the solid ovarian masses in the benign group (23 lesions) were slightly lower than those of the malignant group (19 lesions), but not significantly so. The benign group, which included thecomas, fibromas, and Brenner tumors, all showed many closely arrayed spindle fibroids and thecal cells, which would obviously reduce the ADCs on DWI images. Our results are consistent with those of other recently reported studies [11, 18]. It is noteworthy that there was a significant difference in the ADCs for the benign solid ovarian tumors and leiomyomas (p = 0.043). This result confirms that ADCs can be used to differentiate benign ovarian solid tumors from ligamentous leiomyomas.
There were some limitations to this study. First, there was an inherent selection bias because the study was retrospective. However, all the patients underwent prospective MRI examinations, which may have partly offset this bias. The limited study sample size could also have influenced the final results. Second, we compared our results using 3T MRI with other studies based on 1.5T MRI. The potential influence of this difference in magnetic field may have made our comparison inaccurate. Third, the ADCs were manually measured on the regions of interest based on individual habits. The lack of standardization in calculating ADC may also have influenced the final results.
Ovarian thecoma or fibrothecoma often manifests as a solid mass with homogeneous isointensity on both T1WI/T2WI and DWI-MRI. There was no significant difference in the ADCs for thecoma and other adnexal solid masses, although the ADCs of the thecomas and fibrothecomas were lower than those of the leiomyomas. A significant difference in the ADCs for benign solid ovarian masses and ligamentous leiomyomas was observed, but this parameter was not useful in differentiating benign from malignant solid ovarian tumors.
Dr. Zhang reports no disclosure.
- Chen VW, Ruiz B, Killeen JL, TimothyR C, Wu XC, Catherine NC, Holly LH: Pathology and classification of ovarian tumors. Cancer 2003, 97: 2631–2642. 10.1002/cncr.11345PubMedView ArticleGoogle Scholar
- Nocito AL, Sarancone S, Bacchi C, Tellez T: Ovarian thecoma: Clinicopathological analysis of 50 cases. Ann Diagn Pathol 2008, 12: 12–16. 10.1016/j.anndiagpath.2007.01.011PubMedView ArticleGoogle Scholar
- Li X, Zhang W, Zhu G, Sun C, Liu Q, Shen Y: Imaging features and pathologic characteristics of ovarian thecoma. J Comput Assist Tomogr 2012, 36: 46–53. 10.1097/RCT.0b013e31823f6186PubMedView ArticleGoogle Scholar
- Shinagare AB, Meylaerts LJ, Laury AR, Mortele KJ: Mri features of ovarian fibroma and fibrothecoma with histopathologic correlation. Am J Roentgenol 2012, 198: W296-W303. 10.2214/AJR.11.7221View ArticleGoogle Scholar
- Troiano RN, Lazzarini KM, Scoutt LM, Lange RC, Flynn SD, McCarthy S: Fibroma and fibrothecoma of the ovary: Mr imaging findings. Radiology 1997, 204: 795–798.PubMedView ArticleGoogle Scholar
- Nakayama T, Yoshimitsu K, Irie H, Hitoshi A, Tsuyoshi T, Akihiro N, Asayama Y, Yoshiki A, Kunishige M, Daisuke K, Shuji M, Hitoo N, Hiroshi H: Diffusion-weighted echo-planar mr imaging and adc mapping in the differential diagnosis of ovarian cystic masses: Usefulness of detecting keratinoid substances in mature cystic teratomas. J Magn Reson Imaging 2005, 22: 271–278. 10.1002/jmri.20369PubMedView ArticleGoogle Scholar
- Adusumilli S, Hussain HK, Caoili EM, William JW, John PM, Timothy DJ, Chen Q, Desjardins B: Mri of sonographically indeterminate adnexal masses. Am J Roentgenol 2006, 187: 732–740. 10.2214/AJR.05.0905View ArticleGoogle Scholar
- Bazot M, Nassar-Slaba J, Thomassin-Naggara I, Cortez A, Uzan S, Darai E: Mr imaging compared with intraoperative frozen-section examination for the diagnosis of adnexal tumors; correlation with final histology. Eur Radiol 2006, 16: 2687–2699. 10.1007/s00330-006-0163-zPubMedView ArticleGoogle Scholar
- Sohaib SA, Mills TD, Sahdev A, Webb JAW, VanTrappen PO, Jacobs IJ, Reznek RH: The role of magnetic resonance imaging and ultrasound in patients with adnexal masses. Clin Radiol 2005, 60: 340–348. 10.1016/j.crad.2004.09.007PubMedView ArticleGoogle Scholar
- Thomassin-Naggara I, Toussaint I, Perrot N, Rouzier R, Cuenod CA, Bazot M, Darai E: Characterization of complex adnexal masses: Value of adding perfusion- and diffusion-weighted mr imaging to conventional mr imaging. Radiology 2011, 258: 793–803. 10.1148/radiol.10100751PubMedView ArticleGoogle Scholar
- Zhang H, Zhang G-F, He Z-Y, Li Z-Y, Zhu M, Zhang G-X: Evaluation of primary adnexal masses by 3t mri: Categorization with conventional mr imaging and diffusion-weighted imaging. J Ovarian Res 2012, 5: 33. 10.1186/1757-2215-5-33PubMed CentralPubMedView ArticleGoogle Scholar
- Murase E, Siegelman ES, Outwater EK, Perez-Jaffe LA, Tureck RW: Uterine leiomyomas: Histopathologic features, mr imaging findings, differential diagnosis, and treatment. Radiographics 1999, 19: 1179–1197.PubMedView ArticleGoogle Scholar
- Tanaka YO, Tsunoda H, Kitagawa Y, Ueno T, Yoshikawa H, Saida Y: Functioning ovarian tumors: Direct and indirect findings at mr imaging1. Radiographics 2004, 24: S147-S166. 10.1148/rg.24si045501PubMedView ArticleGoogle Scholar
- Liu H, Hao S, Li W: Giant malignant ovarian fibrothecoma involved with retroperitoneal structures mimicking a retroperitoneal sarcoma. Arch Gynecol Obstet 2009, 279: 763–765. 10.1007/s00404-008-0799-9PubMedView ArticleGoogle Scholar
- Athula Kaluarachchi JPM, Batcha TM, Preethika A: Luteinized ovarian thecoma in a postmenopausal women presenting with virilization. Obstet Gynecol Int 2009, 492386. 10.1155/2009/492386Google Scholar
- Sala E, Rockall A, Rangarajan D, Kubik-Huch RA: The role of dynamic contrast-enhanced and diffusion weighted magnetic resonance imaging in the female pelvis. Eur J Radiol 2010, 76: 367–385. 10.1016/j.ejrad.2010.01.026PubMedView ArticleGoogle Scholar
- Punwani S: Diffusion weighted imaging of female pelvic cancers: concepts and clinical applications. Eur J Radiol 2011, 78: 21–29. 10.1016/j.ejrad.2010.07.028PubMedView ArticleGoogle Scholar
- Bakir B, Bakan S, Tunaci M, Bakir VL, Iyibozkurt AC, Berkman S, Bengisu E, Salmaslioğlu A: Diffusion-weighted imaging of solid or predominantly solid gynaecological adnexial masses: Is it useful in the differential diagnosis? Br J Radiol 2011, 84: 600–611. 10.1259/bjr/90706205PubMed CentralPubMedView ArticleGoogle Scholar
- Takeuchi M, Matsuzaki K, Nishitani H: Diffusion-weighted magnetic resonance imaging of ovarian tumors: differentiation of benign and malignant solid components of ovarian masses. J Comput Assist Tomogr 2010, 34: 173–176. 10.1097/RCT.0b013e3181c2f0a2PubMedView ArticleGoogle Scholar
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