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Differentiation of Benign from Malignant Adnexal Masses by Dynamic Contrast-Enhanced MRI (DCE-MRI): Quantitative and Semi-quantitative analysis at 3-Tesla MRI
Gity, Masoumeh; Parviz, Sara; Saligheh Rad, Hamidreza; Fathi Kazerooni, Anahita; Shirali, Elham; Shakiba, Madjid; Baikpour, Masoud.
Afiliación
  • Gity M; Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran. Email: srparviz@gmail.com
  • Parviz S; Department of Radiology, Medical Imaging Center, Tehran University of Medical Sciences, Tehran, Iran.
  • Saligheh Rad H; Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran. Email: srparviz@gmail.com
  • Fathi Kazerooni A; Quantitative MR Imaging and Spectroscopy Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran.
  • Shirali E; Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
  • Shakiba M; Quantitative MR Imaging and Spectroscopy Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran.
  • Baikpour M; Department of Gynecology Oncology, Yas Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Asian Pac J Cancer Prev ; 20(4): 1073-1079, 2019 Apr 29.
Article en En | MEDLINE | ID: mdl-31030476
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Imagen por Resonancia Magnética / Interpretación de Imagen Asistida por Computador / Enfermedades de los Anexos / Medios de Contraste Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Female / Humans / Middle aged Idioma: En Revista: Asian Pac J Cancer Prev Asunto de la revista: NEOPLASIAS Año: 2019 Tipo del documento: Article
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Imagen por Resonancia Magnética / Interpretación de Imagen Asistida por Computador / Enfermedades de los Anexos / Medios de Contraste Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Female / Humans / Middle aged Idioma: En Revista: Asian Pac J Cancer Prev Asunto de la revista: NEOPLASIAS Año: 2019 Tipo del documento: Article