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Diagnostic evaluation and incorporation of PSA density and the prostate imaging and data reporting system (PIRADS) version 2 classification in risk-nomograms for prostate cancer.
Rodríguez Cabello, Miguel Angel; Méndez Rubio, Santiago; Platas Sancho, Arturo; Carballido Rodríguez, Joaquin.
Afiliación
  • Rodríguez Cabello MA; Department of Urology, Hospital Universitario Sanitas La Moraleja. Avenida de Francisco Pi y Margall, 81, 28050, Madrid, Spain. mrcabello.uro@gmail.com.
  • Méndez Rubio S; Universidad Francisco de Vitoria. Carretera Pozuelo a, Av de Majadahonda, Km 1.800, 28223, Madrid, Spain. mrcabello.uro@gmail.com.
  • Platas Sancho A; Department of Urology, Hospital Universitario Sanitas La Moraleja. Avenida de Francisco Pi y Margall, 81, 28050, Madrid, Spain.
  • Carballido Rodríguez J; Universidad Francisco de Vitoria. Carretera Pozuelo a, Av de Majadahonda, Km 1.800, 28223, Madrid, Spain.
World J Urol ; 40(10): 2439-2450, 2022 Oct.
Article en En | MEDLINE | ID: mdl-35941245
ABSTRACT

PURPOSE:

The diagnostic approach for prostate cancer still depends on PSA and DRE.

OBJECTIVES:

to evaluate the diagnostic validity of PSA-Density and PIRADSv2 as diagnostic tests regarding biopsy results, and to design nomograms that include all diagnostic variables for malignancy, significant tumor (ST) and high-grade tumor.

METHODS:

Cross-sectional study which included men with PSA ≥ 4 ng/ml and/or suspicious DRE, PIRADSv2 ≥ 3 lesions on multiparametric MRI and prostate biopsy. The gold standard test was the maximum ISUP of the targeted biopsy per patient (malignancy ISUP ≥ 1, ST ISUP ≥ 2, high-grade tumor ISUP ≥ 4). Association and logistic regression tests were used and diagnostic validity parameters using PSA-Density and PIRADSv2 classification was analyzed. Nomograms were designed for malignancy, ST, and high-grade tumor using the best model selection procedure from all possible equations.

RESULTS:

336 men with median age, PSA and PSA-Density of 67.7 years (IQR12.6), 6.3 ng/ml (IQR3.3) and 0.12 ng/ml/cc (IQR0.10), respectively; 63 index lesions were PIRADS3, 204 PIRADS4, and 69 PIRADS5. 65.8% and 37.8% were malignant and ST, respectively. The significant positive association highlighted between malignancy and ST with age, DRE, PSA-Density and PIRADSv2. PSA-Density and PIRADSv2 ≥ 3 presented the highest sensitivity to detect malignancy, and their combination showed sensitivity nearly 95% (AUC0.803). Nomograms for malignancy and ST included the variables age, DRE, PSA-Density, and PIRADSv2 with a sensitivity closely 91% (AUC0.833), and a specificity of almost 85% for ST, exposing risk < 5% for ST when PSA-Density is < 0.15, not suspicious DRE and PIRADS3.

CONCLUSION:

PSA-Density and PIRADSv2 classification in risk nomograms can provide highly relevant information to increase the accuracy in the diagnosis of PC and ST.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Próstata / Neoplasias de la Próstata Tipo de estudio: Diagnostic_studies / Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Humans / Male Idioma: En Revista: World J Urol Año: 2022 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Próstata / Neoplasias de la Próstata Tipo de estudio: Diagnostic_studies / Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Humans / Male Idioma: En Revista: World J Urol Año: 2022 Tipo del documento: Article País de afiliación: España
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