MR diagnosis of SCC arising within ovarian cystic teratomas: analysis of mural nodule characteristics

Author:

Fukuzawa TakuyaORCID,Ohya AyumiORCID,Tanaka Mika,Shimizu Marika,Kobayashi Kentaro,Matsushita Tomohito,Watanabe Tomofumi,Kobara Hisanori,Fujinaga YasunariORCID

Abstract

Abstract Purpose This study aims to evaluate and identify magnetic resonance (MR) findings of mural nodules to detect squamous cell carcinoma arising from ovarian mature cystic teratoma (SCC-MCT). Methods This retrospective study examined 135 patients (SCC-MCTs, n = 12; and benign MCTs, n = 123) with confirmed diagnoses across five different institutions between January 2010 and June 2022. Preoperative MR images for each patient were independently assessed by two experienced radiologists and analyzed following previously reported findings (PRFs): age, tumor size, presence of mural nodules, size of mural nodule, and the angle between mural nodule and cyst wall (acute or obtuse). Furthermore, this study evaluated four mural nodule features—diffusion restriction, fat intensity, Palm tree appearance, and calcification—and the presence of transmural extension. Results There were significant differences between the SCC-MCT and benign MCT groups in terms of all PRFs and all mural nodule findings (p < 0.01). Among the PRFs, “tumor size” demonstrated the highest diagnostic performance, with a sensitivity of 83.3% and a specificity of 88.6%. A combination of the aforementioned four mural nodule findings showed a sensitivity and specificity of 83.3% and 97.6%, respectively, for the diagnosis of SCC-MCT. Regarding diagnosis based on a combination of four mural nodule findings, the specificity was significantly higher than the diagnosis based on tumor size (p = 0.021). Based on these mural nodule findings, three SCC-MCT patients without transmural invasion could be diagnosed. Conclusion Mural nodule MR findings had a higher diagnostic performance than PRFs for SCC-MCT and can potentially allow early detection of SCC-MCTs. Graphical abstract

Funder

Shinshu University

Publisher

Springer Science and Business Media LLC

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