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Predicting extracapsular involvement in prostate cancer through the tumor contact length and the apparent diffusion
M F Granja1, C M Pedraza2, D C Flórez2
1Departamento de Radiología e Imágenes Diagnósticas, Hospital Universitario Fundación Santa Fe de Bogotá, Bogotá, Colombia; Departamento de Patología y Laboratorio Clínico, Hospital Universitario Fundación Santa Fe de Bogotá, Bogotá, Colombia.
Objective:
To evaluate the diagnostic performance of the length of the tumor contact with the capsule (LTC) and the apparent diffusion coefficient (ADC) map in the prediction of microscopic extracapsular extension in patients with prostate cancer who are candidates for radical prostatectomy.
Material And Methods:
We used receiver operating curves to retrospectively study the diagnostic performance of the ADC map and the LTC as predictors of microscopic extracapsular extension in 92 patients with prostate cancer and moderate to high risk who were examined between May 2011 and December 2013.
Results:
The optimal cutoff for the ADC map was 0.87× 10-3 mm2/s, which yielded an area under the ROC curve of 72% (95% CI: 57%-86%), corresponding to a sensitivity of 83% and a specificity of 61%. The optimal cutoff for the LTC was 17.5mm, which yielded an area under the ROC curve of 74% (95% CI: 61%-87%), corresponding to a sensitivity of 91% and a specificity of 57%. Combining the two criteria improved the diagnostic performance, yielding an area under the ROC curve of 77% (95% CI: 62%-92%), corresponding to a sensitivity of 77% and a specificity of 61%. We elaborated a logistic regression model, obtaining an area under the ROC curve of 82% (95% CI: 73%-93%).
Conclusions:
Using quantitative measures improves the diagnostic accuracy of multiparametric magnetic resonance imaging in the staging of prostate cancer. The values of the ADC and LTC were predictors of microscopic extracapsular extension, and the best results were obtained when both values were used in combination.
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