MRI characteristics for differentiating mucinous borderline ovarian tumours from mucinous ovarian cancers

To investigate the magnetic resonance imaging (MRI) characteristics that could differentiate mucinous borderline ovarian tumours (MBOTs) from mucinous ovarian cancers (MOCs). MRI data from 75 patients with MBOTs and 38 patients with MOCs were reviewed retrospectively. The clinicopathological and MRI...

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Veröffentlicht in:Clinical radiology 2022-02, Vol.77 (2), p.142-147
Hauptverfasser: Yang, X.Y., Li, X., Ma, F.H., Li, H.M., Zhao, S.H., Li, Y.A., Qiang, J.W.
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Sprache:eng
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Zusammenfassung:To investigate the magnetic resonance imaging (MRI) characteristics that could differentiate mucinous borderline ovarian tumours (MBOTs) from mucinous ovarian cancers (MOCs). MRI data from 75 patients with MBOTs and 38 patients with MOCs were reviewed retrospectively. The clinicopathological and MRI features, including age, bilaterality, maximum diameter (MD), shape, margin, configuration, cystic–solid interface, papillae, MD of the cyst walls and septa, MD of the solid components, number of cysts, honeycomb loculi, signal of the cystic and solid components, apparent diffusion coefficient (ADC) value and enhancement ratio of the solid components, peritoneal implants and ascites, were compared using univariable analysis and multivariable logistic regression analysis. There were 76 MBOTs and 39 MOCs, and median patient age was 41 years (range 16–77 years) and 51 years (range 15–90 years), respectively (p=0.004). There were significant differences between MBOTs and MOCs regarding the presence of papillae (p=0.013), MD of the solid components (p=0.001), enhancement ratio of the solid components (p=0.003), ADC value (p
ISSN:0009-9260
1365-229X
DOI:10.1016/j.crad.2021.10.022