Evaluation of Prostate Imaging Reporting and Data System Classification in the Prediction of Tumor Aggressiveness in Targeted Magnetic Resonance Imaging/Ultrasound-Fusion Biopsy.
Urol Int
; 99(2): 177-185, 2017.
Article
em En
| MEDLINE
| ID: mdl-28531902
ABSTRACT
OBJECTIVES:
The study aimed to evaluate the prediction of Prostate Imaging Reporting and Data System (PI-RADS) with respect to the prostate cancer (PCa) detection rate and tumor aggressiveness in magnetic resonance imaging (MRI)/ultrasound-fusion-biopsy (fusPbx) and in systematic biopsy (sysPbx). MATERIALS ANDMETHODS:
Six hundred and twenty five patients undergoing multiparametric MRI were investigated. MRI findings were classified using PI-RADS v1 or v2. All patients underwent fusPbx combined with sysPbx (comPbx). The lesion with the highest PI-RADS was defined as maximum PI-RADS (maxPI-RADS). Gleason Score ≥7 (3 + 4) was defined as significant PCa.RESULTS:
The overall PCa detection rate was 51% (n = 321; 39% significant PCa). The detection rate was 43% in fusPbx (n = 267; 34% significant PCa) and 36% in sysPbx (n = 223; 27% significant PCa). Nine percentage of significant PCa were detected by sysPbx alone. A total of 1,162 lesions were investigated. The detection rate of significant PCa in lesions with PI-RADS 2, 3, 4, and 5 were 9% (18/206), 12% (56/450), 27% (98/358), and 61% (90/148) respectively. maxPI-RADS ≥4 was the strongest predictor for the detection of significant PCa in comPbx (OR 2.77; 95% CI 1.81-4.24; p < 0.005).CONCLUSIONS:
maxPI-RADS is the strongest predictor for the detection of significant PCa in comPbx. Due to a high detection rate of additional significant PCa in sysPbx, fusPbx should still be combined with sysPbx.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Neoplasias da Próstata
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Imageamento por Ressonância Magnética
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Interpretação de Imagem Assistida por Computador
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Ultrassonografia de Intervenção
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Biópsia Guiada por Imagem
Tipo de estudo:
Evaluation_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Aged
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Aged80
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Humans
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Male
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Middle aged
Idioma:
En
Ano de publicação:
2017
Tipo de documento:
Article