Integrated predictive model for prostatic cancer using clinical, laboratory and ultrasound data.

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Integrated predictive model for prostatic cancer using clinical, laboratory and ultrasound data.

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2016 nî lūn-bûn

@nan

2016年の論文

@ja

2016年学术文章

@wuu

2016年学术文章

@zh-cn

2016年学术文章

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2016年学术文章

@zh-my

2016年学术文章

@zh-sg

2016年學術文章

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2016年學術文章

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2016年學術文章

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name

Integrated predictive model fo ...... aboratory and ultrasound data.

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Integrated predictive model fo ...... aboratory and ultrasound data.

@en

type

Item

label

Integrated predictive model fo ...... aboratory and ultrasound data.

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Integrated predictive model fo ...... aboratory and ultrasound data.

@en

prefLabel

Integrated predictive model fo ...... aboratory and ultrasound data.

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Integrated predictive model fo ...... aboratory and ultrasound data.

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P1476

Integrated predictive model fo ...... aboratory and ultrasound data.

@en

P2093

Gustavo David Ludwig

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Henrique Peres Rocha

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Lúcio José Botelho

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Maiara Brusco Freitas

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P2860

Cancer statistics, 2015

Measuring the accuracy of diagnostic systems

External validation and head-to-head comparison of Japanese and Western prostate biopsy nomograms using Japanese data sets.

Developing a follow-up strategy for patients with PSA ranging from 4 to 10 ng/ml via a new model to reduce unnecessary prostate biopsies

Prevalence of prostate cancer among men with a prostate-specific antigen level < or =4.0 ng per milliliter.

Use of the percentage of free prostate-specific antigen to enhance differentiation of prostate cancer from benign prostatic disease: a prospective multicenter clinical trial.

The influence of finasteride on the development of prostate cancer.

Measurement of prostate-specific antigen in serum as a screening test for prostate cancer.

Techniques and predictive models to improve prostate cancer detection.

Development of a nomogram that predicts the probability of a positive prostate biopsy in men with an abnormal digital rectal examination and a prostate-specific antigen between 0 and 4 ng/mL.

P304

430-437

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P31

scholarly article

P356

10.1590/0100-69912016006004

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P433

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P478

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P577

2016-12-01T00:00:00Z

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P698

28273214

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