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Ultrasonography of ovarian masses using a pattern recognition approach
As a primary imaging modality, ultrasonography (US) can provide diagnostic information for evaluating ovarian masses. Using a pattern recognition approach through gray-scale transvaginal US, ovarian masses can be diagnosed with high specificity and sensitivity. Doppler US may allow ovarian masses to...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Ultrasound in Medicine
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4484293/ https://www.ncbi.nlm.nih.gov/pubmed/25797108 http://dx.doi.org/10.14366/usg.15003 |
Sumario: | As a primary imaging modality, ultrasonography (US) can provide diagnostic information for evaluating ovarian masses. Using a pattern recognition approach through gray-scale transvaginal US, ovarian masses can be diagnosed with high specificity and sensitivity. Doppler US may allow ovarian masses to be diagnosed as benign or malignant with even greater confidence. In order to differentiate benign and malignant ovarian masses, it is necessary to categorize ovarian masses into unilocular cyst, unilocular solid cyst, multilocular cyst, multilocular solid cyst, and solid tumor, and then to detect typical US features that demonstrate malignancy based on pattern recognition approach. |
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