| Literature DB >> 33776334 |
Christopher Antonio Febres-Aldana1, Sarah Alghamdi1, Thomas A Weppelmann2, Emilio Lastarria3, Akshay Bhandari3, Yumna Omarzai1,2, Robert J Poppiti1,2.
Abstract
BACKGROUND: Multiparametric (mp) magnetic resonance imaging (MRI)-ultrasound fusion-targeted biopsy (TB) has improved the detection of clinically significant prostate cancer (csCaP) using the Prostate Imaging Reporting and Data System (PI-RADS) reporting system, leading some authors to conclude that TB can replace the 12-core systematic biopsy (SB). We compared the diagnostic performance of TB with SB at our institution.Entities:
Keywords: Cancer detection; fusion targeted biopsy; multiparametric magnetic resonance imaging; prostate biopsy; prostate cancer
Year: 2020 PMID: 33776334 PMCID: PMC7992529 DOI: 10.4103/UA.UA_123_19
Source DB: PubMed Journal: Urol Ann ISSN: 0974-7796
Figure 1The diagnosis of prostate cancer as a pair comparison of systematic biopsy versus targeted biopsy in all patients (a), per lesion (b), and detection rates per patient (c) and per lesion (d) according to the Prostate Imaging Reporting and Data System categories. *McNemar's Test. †lesions within the posterior peripheral zone only
Correlation of matched pair highest Gleason score per patient using two different sampling methods, fusion-targeted biopsy, and systematic biopsy
| Diagnosis | GS – SB | Total (%) | ||||
|---|---|---|---|---|---|---|
| No cancer | 6 | 7 | 8 | 9 | ||
| GS-TB | ||||||
| No Cancer | 32 | 6 | 4 | 3 | 1 | 46 (55.4) |
| 6 | 4 | 5 | 3 | 1 | 0 | 13 (15.6) |
| 7 | 3 | 3 | 6 | 1 | 1 | 14 (16.8) |
| 8 | 0 | 0 | 1 | 6 | 0 | 7 (8.4) |
| 9 | 1 | 0 | 1 | 0 | 1 | 3 (3.6) |
| Total (%) | 40 (48.1) | 14 (16.8) | 15 (18) | 11 (13.2) | 3 (3.6) | 83 (100) |
GS: Gleason Score, TB: Targeted biopsy, SB: Systematic biopsy
Correlation of radiologic and pathologic variables for comparison of targeted biopsy versus systematic biopsy
| Variable | Parameter | PSA level | PI-RADS | Lesion Size | TB | GS - TB | Percentage TI - TB | SB† | GS - SB† | Percentage TI - SB† |
|---|---|---|---|---|---|---|---|---|---|---|
| PSA level (ng/mL) | X | 0.10 | 0.39* | 0.17 | 0.48* | 0.20 | 0.07 | 0.31 | -0.97 | |
| 0.24 | <0.001 | 0.05 | 0.001 | 0.19 | 0.45 | 0.08 | 0.59 | |||
| 127 | 127 | 127 | 44 | 44 | 91 | 32 | 32 | |||
| PI-RADS | 0.10 | X | 0.18* | 0.35* | 0.16 | 0.55* | 0.27* | 0.37* | 0.34 | |
| 0.24 | 0.04 | <0.001 | 0.30 | <0.001 | 0.009 | 0.03 | 0.05 | |||
| 127 | 127 | 127 | 44 | 44 | 91 | 32 | 32 | |||
| Lesion size (cm) | 0.39* | 0.18* | X | 0.16 | 0.21 | 0.51* | 0.03 | 0.18 | 0.14 | |
| <0.001 | 0.04 | 0.05 | 0.15 | <0.001 | 0.71 | 0.30 | 0.43 | |||
| 127 | 127 | 127 | 44 | 44 | 91 | 32 | 32 | |||
| TB (cancer detection) | 0.17 | 0.35* | 0.16 | X | X | X | 0.58* | 0.04 | 0.21 | |
| 0.05 | <0.001 | 0.05 | <0.001 | 0.82 | 0.24 | |||||
| 127 | 127 | 127 | 91 | 32 | 32 | |||||
| GS – TB | 0.48* | 0.16 | 0.21 | X | X | 0.29 | 0.23 | 0.63** | −0.41 | |
| 0.001 | 0.30 | 0.15 | 0.05 | 0.20 | 0.001** | 0.85 | ||||
| 44 | 44 | 44 | 44 | 31 | 23 | 23 | ||||
| Percentage TI – TB | 0.20 | 0.55* | 0.51* | X | 0.29 | X | 0.25 | 0.39 | 0.48* | |
| 0.19 | <0.001 | <0.001 | 0.05 | 0.17 | 0.06 | 0.01 | ||||
| 44 | 44 | 44 | 44 | 31 | 23 | 23 | ||||
| SB (cancer detection)† | 0.07 | 0.27* | 0.03 | 0.58* | 0.23 | 0.25 | X | X | X | |
| 0.45 | 0.009 | 0.71 | <0.001 | 0.20 | 0.17 | |||||
| 91 | 91 | 91 | 91 | 31 | 31 | |||||
| GS – SB† | 0.31 | 0.37* | 0.18 | 0.04 | 0.63** | 0.39 | X | X | 0.27 | |
| 0.08 | 0.03 | 0.30 | 0.82 | 0.001** | 0.06 | 0.12 | ||||
| 32 | 32 | 32 | 32 | 23 | 23 | 32 | ||||
| Percentage TI – SB† | -0.97 | 0.34 | 0.14 | 0.21 | -0.41 | 0.48* | X | 0.27 | X | |
| 0.59 | 0.05 | 0.43 | 0.24 | 0.85 | 0.01 | 0.12 | ||||
| 32 | 32 | 32 | 32 | 23 | 23 | 32 |
*The correlation is significant, †Matched pairs of lesions located within the SB sampling range, **Mixed effect intra-class correlation coefficient. X: Cannot be calculated or nonapplicable, GS: Gleason score, TB: Targeted biopsy, SB: Systematic biopsy, PSA: Prostate-specific antigen, PI-RADS: Prostate Imaging Reporting and Data System, TI: Tissue involvement
Figure 2Case distribution according to the Gleason score change (a), correlation of lesion size with Gleason score change (b) and percentage of tissue involvement change (c), and Gleason score change versus percentage of tissue involvement change (d). Continuous and discontinuous lines in A: nonlinear regression analysis (Gaussian fit model: y = Amplitude × exp [−0.5× [[x − mean]/standard deviation]2])