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DOI 10.1038/s41391-017-0024-7

Медицинская библиотека · Prostate cancer and prostatic diseases · 2017

Prostate-specific antigen (PSA) density in the diagnostic algorithm of prostate cancer.

Nordström Tobias, Akre Olof, Aly Markus, Grönberg Henrik, Eklund Martin

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

BACKGROUND

Screening for prostate cancer using prostate-specific antigen (PSA) alone leads to un-necessary biopsying and overdiagnosis. PSA density is easily accessible, but early evidence on its use for biopsy decisions was conflicting and use of PSA density is not commonly recommended in guidelines.

METHODS

We analyzed biopsy outcomes in 5291 men in the population-based STHLM3 study with PSA ≥ 3 ng/ml and ultrasound-guided prostate volume measurements by using percentages and regression models. PSA density was calculated as total PSA (ng/ml) divided by prostate volume (ml). Main endpoint was clinically significant cancer (csPCa) defined as Gleason Score ≥ 7.

RESULTS

The median PSA-density was 0.10 ng/ml2 (IQR 0.075-0.14). PSA-density was associated with the risk of finding csPCa both with and without adjusting for the additional clinical information age, family history, previous biopsies, total PSA and free/total PSA (OR 1.06; 95% CI:1.05-1.07 and OR 1.07, 95% CI 1.06-1.08). Discrimination for csPCa was better when PSA density was added to a model with additional clinical information (AUC 0.75 vs. 0.73, P < 0.05). The proportion of men with Gleason Score 6 (ISUP 1) was similar across stratas of PSA-density. Omitting prostate biopsy for men with PSA-density ≤0.07 ng/ml2 would save 19.7% of biopsy procedures, while missing 6.9% of csPCa. PSA-density cutoffs of 0.10 ng/ml2 and 0.15 ng/ml2 resulted in detection of 77% (729/947) and 49% (461/947) of Gleason Score ≥7 tumors.

CONCLUSIONS

PSA-density might inform biopsy decisions, and spare some men from the morbidity associated with a prostate biopsy and diagnosis of low-grade prostate cancer.

Для цитирования: Nordström Tobias, Akre Olof, Aly Markus, Grönberg Henrik, Eklund Martin. Prostate-specific antigen (PSA) density in the diagnostic algorithm of prostate cancer.. Prostate cancer and prostatic diseases. 2017. DOI: 10.1038/s41391-017-0024-7.

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