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Unified model involving genomics, magnetic resonance imaging and prostate‐specific antigen density outperforms individual co‐variables at predicting biopsy upgrading in patients on active surveillance for low risk prostate cancer
| Content Provider | Scilit |
|---|---|
| Author | Beksac, Alp Tuna Ratnani, Parita Dovey, Zachary Parekh, Sneha Falagario, Ugo Roshandel, Reza Sobotka, Stanislaw Kewlani, Deepshikha Davis, Avery Weil, Rachel Bashorun, Hafis Jambor, Ivan Lewis, Sara Haines, Kenneth Tewari, Ashutosh K. |
| Copyright Year | 2021 |
| Description | Journal: Cancer Reports |
| ISSN | 00221295 |
| e-ISSN | 25738348 |
| DOI | 10.1002/cnr2.1492 |
| Journal | Cancer Reports |
| Issue Number | 3 |
| Volume Number | 5 |
| Language | English |
| Publisher | Wiley-Blackwell |
| Publisher Date | 2021-12-20 |
| Access Restriction | Open |
| Subject Keyword | Journal: Cancer Reports Urology and Nephrology Active Surveillance Genomic Prostate Score Multiparametric Mri Prostate Cancer Psa Density |
| Content Type | Text |
| Resource Type | Article |
| Subject | Physiology |