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MRI features and score for differentiating borderline from malignant epithelial ovarian tumors.
Li, Yong Ai; Qiang, Jin Wei; Ma, Feng Hua; Li, Hai Ming; Zhao, Shu Hui.
Afiliación
  • Li YA; Department of Radiology, Jinshan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
  • Qiang JW; Department of Radiology, Jinshan Hospital, Shanghai Medical College, Fudan University, Shanghai, China. Electronic address: dr.jinweiqiang@163.com.
  • Ma FH; Department of Radiology, Obstetrics and Gynecology Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
  • Li HM; Department of Radiology, Jinshan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
  • Zhao SH; Department of Radiology, Xinhua Hospital, Shanghai Second Medical College, Shanghai Jiao Tong University, Shanghai, China.
Eur J Radiol ; 98: 136-142, 2018 Jan.
Article en En | MEDLINE | ID: mdl-29279152
ABSTRACT

PURPOSE:

To identify the MRI features of borderline epithelial ovarian tumors (BEOTs) and to differentiate BEOTs from malignant epithelial ovarian tumors (MEOTs). MATERIALS AND

METHODS:

The clinical and MRI data of 89 patients with a BEOT and 109 patients with a MEOT proven by surgery and histopathology were retrospectively reviewed. MRI features, including bilaterality, size, shape, margin, cystic-solid interface, configuration, papillae or nodules, signal intensity, enhancement, presence of an ipsilateral ovary, peritoneal implants and ascites were analyzed and compared. Based on the odds ratio (OR) values, the significant risk features for BEOTs were scored as 3 (OR≈∞), 2 (5≤OR<∞) or 1 (OR<5).

RESULTS:

There were 89 BEOT patients with 113 tumors [mean size of (13±6.7)cm], with bilateral ovary involvement in 24 cases. There were 109 MEOT patients with 142 tumors [(9.3±4.2)cm] with bilateral ovary involvement in 33 cases. There were eight significant risk factors for BEOTs, including round or oval shape (OR=2.714), well-defined margins (OR=3.318), clear cystic-solid interfaces (OR=5.593), purely cystic (OR=15.206), predominantly cystic with papillae or nodules (OR=2.579), exophytic papillae or nodules (OR=5.351), branching papilla (OR≈∞) and the presence of an ipsilateral ovary (OR≈∞). Based on the scoring of the eight risk factors, a cut-off score of 3.5 yielded a differential sensitivity, specificity, and accuracy of 82%, 85% and 84%, respectively.

CONCLUSION:

In contrast to MEOTs, BEOTs frequently had the following features on MRI round or oval, with well-defined margins and clear cystic-solid interfaces, purely cystic or predominantly cystic with papillae or nodules, branching or exophytic papillae, with the presence of an ipsilateral ovary. MRI can reveal the distinct morphological features of BEOTs and MEOTs and facilitate their discrimination.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Imagen por Resonancia Magnética / Neoplasias Glandulares y Epiteliales Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Middle aged Idioma: En Revista: Eur J Radiol Año: 2018 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Imagen por Resonancia Magnética / Neoplasias Glandulares y Epiteliales Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Middle aged Idioma: En Revista: Eur J Radiol Año: 2018 Tipo del documento: Article País de afiliación: China