scholarly article | Q13442814 |
P2093 | author name string | Jiaoti Huang | |
Daniel J Margolis | |||
Frederick J Dorey | |||
Leonard S Marks | |||
Shyam Natarajan | |||
Nima Nassiri | |||
Devi S Sharma | |||
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Comparison of MR/ultrasound fusion-guided biopsy with ultrasound-guided biopsy for the diagnosis of prostate cancer. | Q30664726 | ||
Targeted prostate biopsy in select men for active surveillance: do the Epstein criteria still apply? | Q34032598 | ||
Magnetic resonance imaging-ultrasound fusion biopsy for prediction of final prostate pathology | Q34364108 | ||
Gleason score 6 adenocarcinoma: should it be labeled as cancer? | Q36449197 | ||
Targeted biopsy in the detection of prostate cancer using an office based magnetic resonance ultrasound fusion device | Q36579232 | ||
Prostate cancer detection with magnetic resonance-ultrasound fusion biopsy: The role of systematic and targeted biopsies | Q36649765 | ||
Intermediate and Longer-Term Outcomes From a Prospective Active-Surveillance Program for Favorable-Risk Prostate Cancer | Q36892392 | ||
Value of targeted prostate biopsy using magnetic resonance-ultrasound fusion in men with prior negative biopsy and elevated prostate-specific antigen | Q37381526 | ||
Do adenocarcinomas of the prostate with Gleason score (GS) ≤6 have the potential to metastasize to lymph nodes? | Q38005257 | ||
Use of mpMRI in active surveillance for localized prostate cancer | Q38795731 | ||
P433 | issue | 3 Pt 1 | |
P407 | language of work or name | English | Q1860 |
P304 | page(s) | 632-639 | |
P577 | publication date | 2016-09-14 | |
P1433 | published in | Journal of Urology | Q15709979 |
P1476 | title | Targeted Biopsy to Detect Gleason Score Upgrading during Active Surveillance for Men with Low versus Intermediate Risk Prostate Cancer | |
P478 | volume | 197 |
Q47904164 | Active surveillance of prostate cancer: Current state of practice and utility of multiparametric magnetic resonance imaging. |
Q47662268 | In-bore MRI-guided biopsy: can it optimize the need for periodic biopsies in prostate cancer patients undergoing active surveillance? a pilot test-retest reliability study |
Q88352410 | Integration and Diagnostic Accuracy of 3T Nonendorectal coil Prostate Magnetic Resonance Imaging in the Context of Active Surveillance |
Q48107021 | Localized prostate cancer and robot-assisted laparoscopic radical prostatectomy: a retrospective, comparative study between pre- and post-operative Gleason scores |
Q58562086 | MRI findings guiding selection of active surveillance for prostate cancer: a review of emerging evidence |
Q90989090 | MRI in active surveillance: a critical review |
Q50184941 | Management of prostate cancer: NYU Case of the Month, July 2017. |
Q57049913 | PTEN status assessment in the Johns Hopkins active surveillance cohort |
Q94550790 | Prediction of prostate cancer Gleason score upgrading from biopsy to radical prostatectomy using pre-biopsy multiparametric MRI PIRADS scoring system |
Q88335236 | Prognostic Significance of a Negative Confirmatory Biopsy on Reclassification Among Men on Active Surveillance |
Q89845717 | Prospective evaluation of fexapotide triflutate injection treatment of Grade Group 1 prostate cancer: 4-year results |
Q47149516 | Prostate Cancer Imaging and Biomarkers Guiding Safe Selection of Active Surveillance |
Q51733070 | Reduction of MRI-targeted biopsies in men with low-risk prostate cancer on active surveillance by stratifying to PI-RADS and PSA-density, with different thresholds for significant disease. |
Q38924660 | Risk-stratification based on magnetic resonance imaging and prostate-specific antigen density may reduce unnecessary follow-up biopsy procedures in men on active surveillance for low-risk prostate cancer |
Q38671172 | Role of prostate magnetic resonance imaging in active surveillance. |
Q48527660 | Targeted Prostate Biopsy in the Era of Active Surveillance |
Q39356191 | The Contemporary Role of Multiparametric Magnetic Resonance Imaging in Active Surveillance for Prostate Cancer. |
Q48293477 | The role of whole-lesion apparent diffusion coefficient analysis for predicting outcomes of prostate cancer patients on active surveillance |
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