Local staging with multiparametric MRI in daily clinical practice: diagnostic accuracy and evaluation of a radiologic learning curve.
World J Urol
; 36(9): 1409-1415, 2018 Sep.
Article
en En
| MEDLINE
| ID: mdl-29680949
ABSTRACT
PURPOSE:
To estimate the diagnostic accuracy of multiparametric MRI (mpMRI) for the detection of locally advanced prostate cancer (T-stage 3-4) prior to radical prostatectomy, in a multicenter cohort representing daily clinical practice. In addition, the radiologic learning curve for the detection of locally advanced disease is evaluated.METHODS:
Preoperative mpMRI findings of 430 patients (2012-2016) were compared to pathology results following radical prostatectomy. The diagnostic accuracy (sensitivity, specificity, PPV, and NPV) for the detection of locally advanced disease was calculated and compared for all years separately, to evaluate the presence of a radiological learning curve.RESULTS:
Of all 137 patients with locally advanced disease, 62 patients were preoperatively detected with mpMRI [sensitivity 45.3% (95% CI 36.9-53.6%), specificity 75.8% (CI 70.9-80.7%), PPV 46.6% (CI 38.1-55.1%), and NPV 74.7% (CI 69.8-79.7%)]. The diagnostic accuracy did not improve significantly over time (sensitivity p = 0.12; specificity p = 0.57).CONCLUSIONS:
In daily clinical practice, the diagnostic accuracy of mpMRI for the detection of locally advanced prostate cancer remains limited. It, therefore, seems questionable whether mpMRI is adequate to guide preoperative decision-making. No significant radiologic learning curve for the detection of locally advance disease was observed.Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Neoplasias de la Próstata
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Imagen por Resonancia Magnética
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Curva de Aprendizaje
Tipo de estudio:
Diagnostic_studies
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Evaluation_studies
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Observational_studies
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Prognostic_studies
Límite:
Aged
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Humans
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Male
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Middle aged
País/Región como asunto:
Europa
Idioma:
En
Revista:
World J Urol
Año:
2018
Tipo del documento:
Article
País de afiliación:
Países Bajos