Magnetic resonance imaging findings for discriminating clear cell carcinoma and endometrioid carcinoma of the ovary

Autor: Sachiko Morioka, Ryuji Kawaguchi, Yuki Yamada, Kana Iwai, Chiharu Yoshimoto, Hiroshi Kobayashi
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Journal of Ovarian Research, Vol 12, Iss 1, Pp 1-7 (2019)
Druh dokumentu: article
ISSN: 1757-2215
DOI: 10.1186/s13048-019-0497-1
Popis: Abstract Background Common cancerous histological types associated with endometriosis are clear cell carcinoma (CCC) and endometrioid carcinoma (EC). CCC is regarded as an aggressive, chemoresistant histological subtype. Magnetic resonance imaging (MRI) offers some potential advantages to diagnose ovarian tumors compared with ultrasonography or computed tomography. This study aimed to identify MRI features that can be used to differentiate between CCC and EC. Methods We searched medical records of patients with ovarian cancers who underwent surgical treatment at Nara Medical University Hospital between January 2008 and September 2018; we identified 98 patients with CCC or EC who had undergone preoperative MRI. Contrasted MRI scans were performed less than 2 months before surgery. Patients were excluded from the study if they had no pathology, other pathological subtype of epithelial ovarian cancer, and/or salvage treatment for recurrence and metastatic ovarian cancer at the time of study initiation. Clinically relevant variables that were statistically significant by univariate analysis were selected for subsequent multivariate regression analysis to identify independent factors to distinguish CCC from EC. Results MRI of CCC and EC showed a large cystic heterogeneous mixed mass with mural nodules protruding into the cystic space. Univariate logistic regression analysis revealed that the growth pattern (broad-based nodular structures [multifocal/concentric sign] or polypoid structures [focal/eccentric sign]), surface irregularity (a smooth/regular surface or a rough/irregular/lobulated surface), “Width” of mural nodule, “Height-to-Width” ratio (HWR), and presence of preoperative ascites were factors that significantly differed between CCC and EC. In the multivariate logistic regression analysis, the growth pattern of the mural nodule (odds ratio [OR] = 0.69, 95% confidence interval [CI]: 0.013–0.273, p = 0.0004) and the HWR (OR = 3.71, 95% CI: 1.128–13.438, p = 0.036) were independent predictors to distinguish CCC from EC. Conclusions In conclusion, MRI data showed that the growth pattern of mural nodules and the HWR were independent factors that could allow differentiation between CCC and EC. This finding may be helpful to predict patient prognosis before operation.
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