| Literature DB >> 34997299 |
Nathan Velarde1, Antonio C Westphalen2, Hao G Nguyen3, John Neuhaus4, Katsuto Shinohara3, Jeffry P Simko5, Peder E Larson6, Kirti Magudia7.
Abstract
PURPOSE: To identify predictors of when systematic biopsy leads to a higher overall prostate cancer grade compared to targeted biopsy. METHODS AND MATERIALS: 918 consecutive patients who underwent prostate MRI followed by MRI/US fusion biopsy and systematic biopsies from January 2015 to November 2019 at a single academic medical center were retrospectively identified. The outcome was upgrade of PCa by systematic biopsy, defined as cases when systematic biopsy led to a Gleason Grade (GG) ≥ 2 and greater than the maximum GG detected by targeted biopsy. Generalized linear regression and conditional logistic regression were used to analyze predictors of upgrade.Entities:
Keywords: Image-guided biopsy; Magnetic resonance imaging; Prostate neoplasms; Ultrasound
Mesh:
Year: 2022 PMID: 34997299 PMCID: PMC8863714 DOI: 10.1007/s00261-021-03389-x
Source DB: PubMed Journal: Abdom Radiol (NY)
Demographic and clinical characteristics of included patients (n = 918)
| Characteristic | All Patients ( | Known PCa ( | No known PCa ( |
|---|---|---|---|
| Age (years) | 66.5 ± 7.3 | 66.3 ± 7.5 | 66.7 ± 6.9 |
| Race or ethnicity* | |||
| White | 708 (77.1) | 384 (77.9) | 324 (76.2) |
| Black | 33 (3.6) | 16 (3.2) | 17 (4.0) |
| Asian | 57 (6.2) | 34 (6.9) | 23 (5.4) |
| Other | 67 (7.3) | 37 (7.5) | 30 (7.1) |
| Unknown | 53 (5.8) | 22 (4.5) | 31 (7.3) |
| PSA density (ng/ml2) | 0.18 ± 0.21 | 0.16 ± 0.23 | 0.20 ± 0.18 |
| Prostate Volume (cc) | 54.2 ± 28.4 | 53.9 ± 27.8 | 54.5 ± 29.2 |
| Number visible targets per prostate on MRI | 1.48 ± 0.71 | 1.47 ± 0.72 | 1.50 ± 0.68 |
| No. visible targets per prostate on US | 0.76 ± 0.67 | 0.74 ± 0.68 | 0.78 ± 0.65 |
| Maximum score on PI-RADS* | |||
| 1 | 0 (0) | 0 (0) | 0 |
| 2 | 2 (0.2) | 1 (0.2) | 1 (0.2) |
| 3 | 195 (21.2) | 111 (22.5) | 84 (19.8) |
| 4 | 419 (45.6) | 232 (47.1) | 187 (44.0) |
| 5 | 302 (32.9) | 149 (30.2) | 153 (36.0) |
Unless otherwise indicated, data are mean (standard deviation)
*Data are number (percentage)
Fig. 1Rates of cs-PCa detection (ISUP Grade Group [GG] of 2 or greater) by systematic biopsy, MRI target biopsy, MRI and US target biopsy, and combined biopsy (systematic biopsy, MRI target biopsy, and US target biopsy; n = 918)
Cross-tabulation of systematic biopsy and targeted biopsy results with rates of concordance and upgrade
Odds ratios assessing the association of predictors with upgrade of clinically significant prostate cancer from mixed-effects logistic regression models at the gland level
| Predictors | Category | Rate of upgrade | Odds ratio | |
|---|---|---|---|---|
| Univariate model | ||||
| US target | Absent | 60/326 (18.4%) | 0.64 (95% CI 0.44–0.93) | 0.02 |
| Present | 75/592 (12.7%) | |||
| Concordant US/MRI lesions | Absent | 78/492 (15.9%) | 0.82 (95% CI 0.57–1.19) | 0.29 |
| Present | 57/426 (13.4%) | |||
| PSA density (ng/ml2) | < 0.15 | 68/503 (13.5%) | 1.23 (95% CI 0.85–1.78) | 0.26 |
| ≥ 0.15 | 67/415 (16.1%) | |||
| Known history of PCa | None | 62/425 (14.6%) | Ref | ref |
| Low-grade PCa | 52/384 (13.5%) | 0.92 (95% CI 0.62–1.36) | 0.67 | |
| High-grade PCa | 21/100 (19.3%) | 1.40 (95% CI 0.81–2.41) | 0.23 | |
| Highest PIRADS score | 2 | 0/2 (0.0%) | – | 0.98 |
| 3 | 23/195 (11.8%) | ref | ref | |
| 4 | 74/419 (17.7%) | 1.60 (95% CI 0.97–2.65) | 0.07 | |
| 5 | 38/302 (12.6%) | 1.08 (95% CI 0.62–1.87) | 0.79 | |
| Age | – | – | 1.01 (95% CI 0.99–1.04) | 0.30 |
| Gland volume | – | – | 1.00 (95% CI 1.00–1.01) | 0.24 |
| Multivariate model | ||||
| Presence of US target | – | – | 0.62 (95% CI 0.43–0.90) | 0.01 |
| PSA density | – | – | 1.31 (95% CI 0.91–1.90) | 0.15 |
| Age | – | – | 1.02 (95% CI 0.99–1.04) | 0.25 |
Fig. 2Sextant-level detection of cs-PCa by systematic biopsy in 5508 sextants based on the presence or absences of lesions visible on MRI and US
Odds ratios assessing the association of predictors with upgrade of clinically significant prostate cancer from conditional logistic regression models at the sextant level
| Predictors | Category | Rate of upgrade | Odds ratio | |
|---|---|---|---|---|
| Univariate model | ||||
| MRI target | Absent | 100/3776 (2.65%) | 2.58 (95% CI 1.87–3.63) | < 0.001 |
| Present | 91/1732 (5.25%) | |||
| US target | Absent | 158/4762 (3.32%) | 1.83 (95% CI 1.14–2.93) | 0.01 |
| Present | 33/746 (4.42%) | |||
| Ipsilateral target | Absent | 23/1527 (1.51%) | 3.89 (95% CI 2.36–6.42) | < 0.001 |
| Present | 168/3981 (4.22%) | |||
| Multivariate model 1 | ||||
| MRI target (in US- sextants) | Absent | 90/3534 (2.55%) | 2.87 (95% CI 1.94–4.25) | < 0.001 |
| Present | 68/1228 (5.54%) | |||
| MRI target (in US + sextants) | Absent | 10/242 (4.13%) | 1.01 (95% CI 0.39–2.61) | 0.98 |
| Present | 23/504 (4.56%) | |||
| US target (in MRI- sextants) | Absent | 90/3534 (2.55%) | 2.45 (95% CI 1.08–5.58) | 0.03 |
| Present | 10/242 (4.13%) | |||
| US target (in MRI + sextants) | Absent | 68/1228 (5.54%) | 0.86 (95% CI 0.46–1.62) | 0.65 |
| Present | 23/504 (4.56%) | |||
| Multivariate model 2 | ||||
| MRI target | – | – | 2.14 (95% CI 1.32–3.45) | 0.002 |
| MRI target:PSA density | – | – | 1.47 (95% CI 0.74–2.94) | 0.27 |
| Multivariate model 3 | ||||
| US target | – | – | 1.77 (95% CI 0.87–3.59) | 0.12 |
| US target:PSA density | – | – | 1.06 (95% CI 0.41–2.75) | 0.90 |
| Multivariate model 4 | ||||
| Ipsilateral lesion | – | – | 2.52 (95% CI 1.32–4.82) | 0.005 |
| Ipsilateral lesion:PSA density | – | – | 2.63 (95% CI 0.94–7.38) | 0.07 |