Academic Journal
Predictive performance of BI-RADS magnetic resonance imaging descriptors in the context of suspicious (category 4) findings
| العنوان: | Predictive performance of BI-RADS magnetic resonance imaging descriptors in the context of suspicious (category 4) findings |
|---|---|
| المؤلفون: | Almeida,João Ricardo Maltez de, Gomes,André Boechat, Barros,Thomas Pitangueiras, Fahel,Paulo Eduardo, Rocha,Mário de Seixas |
| المصدر: | Radiologia Brasileira v.49 n.3 2016 |
| بيانات النشر: | Colégio Brasileiro de Radiologia e Diagnóstico por Imagem |
| سنة النشر: | 2016 |
| المجموعة: | SciELO Brazil (Scientific Electronic Library Online) |
| مصطلحات موضوعية: | Magnetic resonance imaging, Breast neoplasms, Predictive value of tests, Likelihood functions |
| الوصف: | Objective: To determine the positive predictive value (PPV) and likelihood ratio for magnetic resonance imaging (MRI) characteristics of category 4 lesions, as described in the Breast Imaging Reporting and Data System (BI-RADS®) lexicon, as well as to test the predictive performance of the descriptors using multivariate analysis and the area under the curve derived from a receiver operating characteristic (ROC) curve. Materials and Methods: This was a double-blind review study of 121 suspicious findings from 98 women examined between 2009 and 2013. The terminology was based on the 2013 edition of the BI-RADS. Results: Of the 121 suspicious findings, 53 (43.8%) were proven to be malignant lesions, with no significant difference between mass and non-mass enhancement (p = 0.846). The PPVs were highest for masses with a spiculated margin (71%) and round shape (63%), whereas segmental distribution achieved a high PPV (80%) for non-mass enhancement. Kinetic analyses performed poorly, except for type 3 curves applied to masses (PPV of 73%). Logistic regression models were significant for both patterns, although the results were better for masses, particularly when kinetic assessments were included (p = 0.015; pseudo R2 = 0.48; area under the curve = 90%). Conclusion: Some BI-RADS MRI descriptors have high PPV and good predictive performance-as demonstrated by ROC curve and multivariate analysis-when applied to BI-RADS category 4 findings. This may allow future stratification of this category. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | text/html |
| اللغة: | English |
| الاتاحة: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842016000300003 |
| رقم الانضمام: | edsbas.4A31BC6F |
| قاعدة البيانات: | BASE |
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