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Multiparametric MRI Evaluation of Complex Ovarian Masses.
Singla, Veenu; Dawadi, Kapil; Singh, Tulika; Prabhakar, Nidhi; Srinivasan, Radhika; Suri, Vanita; Khandelwal, Niranjan.
Afiliación
  • Singla V; Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education Research (PGIMER), Chandigarh, India. Electronic address: veenupgi@gmail.com.
  • Dawadi K; Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education Research (PGIMER), Chandigarh, India.
  • Singh T; Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education Research (PGIMER), Chandigarh, India.
  • Prabhakar N; Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education Research (PGIMER), Chandigarh, India.
  • Srinivasan R; Department of Cytology and Gynaecological Pathology, Postgraduate Institute of Medical Education Research (PGIMER), Chandigarh, India.
  • Suri V; Department of Obstetrics and Gynaecology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
  • Khandelwal N; Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education Research (PGIMER), Chandigarh, India.
Curr Probl Diagn Radiol ; 50(1): 34-40, 2021.
Article en En | MEDLINE | ID: mdl-31399230
OBJECTIVE: To assess the role of diffusion-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging in the categorization of complex ovarian masses into benign and malignant. MATERIALS AND METHODS: This prospective study was done on 33 complex ovarian masses. T1 and T2-weighted sequences, diffusion-weighted imaging, apparent diffusion coefficient, and dynamic contrast-enhanced magnetic resonance imaging were performed on 1.5 T MRI. Time-intensity curves, tissue signal intensity on unenhanced T1 images (SI0), maximum absolute contrast enhancement (SImax), time to reach SImax (Tmax), maximum relative SI (SIrel = [SImax - SI0]/SI0 ×100), maximum Slope (Slopemax = SIrel/Tmax ×100), and wash in rate (WIR = [SImax - SI0]/Tmax) were calculated. Histopathological diagnosis was taken as gold standard. RESULTS: A total of 20/33 masses were benign, 2/33 were borderline tumors, and 11/33 were malignant. Diffusion restriction was seen in all malignant masses and 13/20 benign masses. The mean apparent diffusion coefficient values showed a significant difference between malignant and benign, with 81.8% sensitivity and 63.6% specificity. Type III curve showed 100% specificity for malignant lesions. Tmax and Slopemax were useful in differentiating benign and malignant masses; with Tmax cut-off at 73.5 seconds having a high specificity (81.8%) and Slopemax cut-off at 0.83%/s having high sensitivity (91%) and negative predictive value (94.4%). CONCLUSION: Multiparametric MRI confers high diagnostic accuracy in stratifying complex ovarian masses.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Imágenes de Resonancia Magnética Multiparamétrica Tipo de estudio: Diagnostic_studies / Observational_studies / Risk_factors_studies Límite: Female / Humans Idioma: En Revista: Curr Probl Diagn Radiol Año: 2021 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Imágenes de Resonancia Magnética Multiparamétrica Tipo de estudio: Diagnostic_studies / Observational_studies / Risk_factors_studies Límite: Female / Humans Idioma: En Revista: Curr Probl Diagn Radiol Año: 2021 Tipo del documento: Article Pais de publicación: Estados Unidos