João Ricardo Maltez de Almeida1, André Boechat Gomes1, Thomas Pitangueira Barros2, Paulo Eduardo Fahel3, Mário de Seixas Rocha4. 1. 1 Department of Diagnostic Imaging, Clínica de Assistência à Mulher, Grupo CAM, Avenida ACM, 237, Ed. Prof. Carlos Aristides Maltez, Itaigara, Salvador, Bahia, Brazil 41825-000. 2. 2 Department of Biomedicine, Bahiana School of Medicine and Public Health, Campus Brotas, Salvador, Bahia, Brazil. 3. 3 Department of Pathology, Clínica de Assistência à Mulher, Grupo CAM, Salvador, Bahia, Brazil. 4. 4 Department of Medicine, Bahiana School of Medicine and Public Health, Campus Brotas, Brotas, Salvador, Bahia, Brazil.
Abstract
OBJECTIVE: The purposes of this study were to investigate whether dynamic contrast-enhanced MRI is adequate for subcategorization of suspicious lesions (BI-RADS category 4) and to evaluate whether use of DWI improves diagnostic performance. MATERIALS AND METHODS: The study group was composed of 103 suspicious lesions found in 83 subjects. Patient ages and lesion sizes were compiled, and two radiologists reanalyzed the images; subcategorized the findings as BI-RADS 4A, 4B, or 4C; and calculated apparent diffusion coefficient (ADC) values. The stratified variables were tested by univariate analysis and inserted in two multivariate predictive models, which were used to generate ROC curves and compare AUCs. Positive predictive values (PPVs) for each subcategory and ADC level were calculated, and interobserver agreement was tested. RESULTS: Forty-four (42.7%) suspicious findings proved malignant. Except for age (p = 0.08), all stratified predictor variables were significant in univariate analyses (p < 0.01). Logistic regression models did not differ substantially after comparison of the ROC curves (p = 0.09), but the one including ADC values was slightly better: AUC of 0.89 (95% CI, 0.82-0.95) against AUC of 0.85 (95% CI, 0.78-0.93). PPV increased progressively in each BI-RADS 4 subcategory (4A, 0.15; 4B, 0.37; 4C, 0.84). ADC values of 1.10 × 10(-3) mm(2)/s or less had the second highest PPV (0.77). Interobserver agreement was substantial at a kappa value of 0.80 (95% CI, 0.70-0.90; p < 0.01). CONCLUSION: Risk stratification of suspicious lesions (BI-RADS category 4) can be satisfactorily performed with DCE-MRI and slightly improved when DWI is introduced.
OBJECTIVE: The purposes of this study were to investigate whether dynamic contrast-enhanced MRI is adequate for subcategorization of suspicious lesions (BI-RADS category 4) and to evaluate whether use of DWI improves diagnostic performance. MATERIALS AND METHODS: The study group was composed of 103 suspicious lesions found in 83 subjects. Patient ages and lesion sizes were compiled, and two radiologists reanalyzed the images; subcategorized the findings as BI-RADS 4A, 4B, or 4C; and calculated apparent diffusion coefficient (ADC) values. The stratified variables were tested by univariate analysis and inserted in two multivariate predictive models, which were used to generate ROC curves and compare AUCs. Positive predictive values (PPVs) for each subcategory and ADC level were calculated, and interobserver agreement was tested. RESULTS: Forty-four (42.7%) suspicious findings proved malignant. Except for age (p = 0.08), all stratified predictor variables were significant in univariate analyses (p < 0.01). Logistic regression models did not differ substantially after comparison of the ROC curves (p = 0.09), but the one including ADC values was slightly better: AUC of 0.89 (95% CI, 0.82-0.95) against AUC of 0.85 (95% CI, 0.78-0.93). PPV increased progressively in each BI-RADS 4 subcategory (4A, 0.15; 4B, 0.37; 4C, 0.84). ADC values of 1.10 × 10(-3) mm(2)/s or less had the second highest PPV (0.77). Interobserver agreement was substantial at a kappa value of 0.80 (95% CI, 0.70-0.90; p < 0.01). CONCLUSION: Risk stratification of suspicious lesions (BI-RADS category 4) can be satisfactorily performed with DCE-MRI and slightly improved when DWI is introduced.
Entities:
Keywords:
BI-RADS; DWI; breast MRI; breast cancer; suspicious breast lesions
Authors: Roberta M Strigel; Elizabeth S Burnside; Mai Elezaby; Amy M Fowler; Frederick Kelcz; Lonie R Salkowski; Wendy B DeMartini Journal: AJR Am J Roentgenol Date: 2017-06 Impact factor: 3.959
Authors: João Ricardo Maltez de Almeida; André Boechat Gomes; Thomas Pitangueira Barros; Paulo Eduardo Fahel; Mario de Souza Rocha Journal: Radiol Bras Date: 2017 May-Jun