Literature DB >> 12117195

Detection and characterization of adnexal masses.

Stacey A Funt1, Lucy E Hann.   

Abstract

The main challenge to the radiologist is to differentiate benign from malignant adnexal masses. Both US and MRI perform well for prediction of benignity. There is less specificity for diagnosis of malignancy but features, such as papillary projections, thickened septations, and internal vascularity within nodules, aid in this differentiation. The combination of morphology and Doppler characteristics provide the most accurate US diagnosis. For sonographically indeterminate masses, MRI is useful for additional lesion characterization. Analysis of T1- and T2-weighted signal intensities for benign-appearing lesions with the addition of fat saturation for high signal on T1-weighted sequences may lead to an exact diagnosis or a narrow differential. For cases considered suspicious by TVUS, more specific diagnosis by MRI may obviate the need for surgery or otherwise change management by identification of benign etiology.

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Mesh:

Year:  2002        PMID: 12117195     DOI: 10.1016/s0033-8389(01)00009-4

Source DB:  PubMed          Journal:  Radiol Clin North Am        ISSN: 0033-8389            Impact factor:   2.303


  4 in total

1.  Comparative evaluation of multidetector CT and MR imaging in the differentiation of adnexal masses.

Authors:  A C Tsili; C Tsampoulas; M Argyropoulou; I Navrozoglou; Y Alamanos; E Paraskevaidis; S C Efremidis
Journal:  Eur Radiol       Date:  2008-01-10       Impact factor: 5.315

2.  Can quantitative dynamic contrast-enhanced MRI independently characterize an ovarian mass?

Authors:  Philip Dilks; Priya Narayanan; Rodney Reznek; Anju Sahdev; Andrea Rockall
Journal:  Eur Radiol       Date:  2010-04-25       Impact factor: 5.315

3.  Ovarian dysgerminoma in two sisters.

Authors:  Bander F Aldhafery
Journal:  J Family Community Med       Date:  2008-09

4.  Evaluation of primary adnexal masses by 3T MRI: categorization with conventional MR imaging and diffusion-weighted imaging.

Authors:  He Zhang; Guo-Fu Zhang; Zhi-Yan He; Zheng-Yu Li; Ming Zhu; Gui-Xiang Zhang
Journal:  J Ovarian Res       Date:  2012-11-14       Impact factor: 4.234

  4 in total

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