ABSTRACT
Purpose:
To assess factors associated with patients’ self-assessed pain scores during prostate biopsy (PBx) performed exclusively under local anesthesia (LA).
Materials and Methods:
Consecutive patients who underwent MRI followed by a transperineal (TP) or transrectal (TR) PBx under LA were prospectively assessed. Race and ethnicity were self-reported according to NIH standards. Socioeconomic status was assessed using the Distressed Community Index (DCI). Pain was evaluated with a visual analog scale (0-10) after the procedure. Univariable and multivariable linear regression analyses were performed to correlate clinical parameters related to pain.
Results:
A total of 419 patients underwent TP (77%) or TR (23%) PBx. Overall, 14% of patients were Asian, 5% Black, 17% Latino, 12% Others, and 53% White. Of the cohort, 20% of Black and 27% of Latino patients were most distressed (DCI 80-100) compared with 4% of Asian, 9% of Other, and 5% of White patients (p<0.001). The median (IQR) self-assessed pain levels were higher for Black 5 (2-5) and Latino 4 (3-5) compared to Asian 3 (2-4), Other 3 (2-5), and White 3 (2-4) patients (p=0.01). On multivariable analysis, younger patients, Black or Latino patients, and the number of lesions on MRI were independent predictors for pain levels.
Conclusions:
PBx under LA alone are generally well tolerated; however, there is a subset of patients who experience more pain, including Black and Latino, younger patients, and those with more MRI suspicious lesions. Discussion of these pain risk factors is important for patients when choosing to have a biopsy performed under LA versus sedation.
Keywords: Prostatic Neoplasms, Race Factors, Socioeconomic Factors
INTRODUCTION
The diagnosis of prostate cancer is usually made by a prostate biopsy (PBx), making this one of the most common procedures in Urology with more than 1 million PBx being performed in the US and Europe combined (1–4). While performing PBx in the operating room under sedation may decrease a patient's pain, it may increase the costs, risk of complications, and is subject to operating room availability. Although PBx under local anesthesia may be more practical, time-efficient and cost-effective, a proportion of patients may experience severe pain. Therefore, identifying predictors for pain during prostate biopsy may allow for improved prebiopsy counseling.
Several potential factors may influence pain perception during medical procedures including race/ethnicity and socioeconomic status (SES) (5, 6). Within an experimental setting, as demonstrated by Rahim Williams et al., lower pain tolerances were seen in African American and Hispanic populations (7). Additionally, Thurston et al had identified that lower SES was associated with increased postoperative pain (8). To the best of our knowledge, there is no study evaluating the impact of race/ethnicity and socioeconomic status on perception of pain during a prostate biopsy. The aim of this study is to identify different factors associated with pain during an in-office PBx exclusively under local anesthesia with the hypothesis that race/ethnicity, SES, age and other clinical and demographic parameters would affect pain levels and tolerance to PBx.
MATERIALS AND METHODS
Study Population
Consecutive patients who underwent multiparametric MRI (mpMRI) followed by transperineal (TP) or transrectal (TR) PBx between June 2020 and May 2023 were prospectively assessed (IRB #HS-13-00663). Exclusion criteria were I) mpMRI acquired more than 6 months prior to the PBx; II) mpMRI that did not meet Prostate Imaging Reporting & Data System (PIRADS) standards. III) prior treatment for prostate cancer IV) prior surgery for benign prostatic hyperplasia; V) Saturation PBx.
MRI Acquisition and Interpretation
All mpMRIs, whether performed at an outside institution or our institution, were interpreted at our institution in accordance with the Prostate Imaging Reporting & Data System (PIRADS) v2.0 or v2.1 by radiologists with expertise in prostate mpMRI reading.(9) The index lesion location was assigned as base, mid or apex, and anterior or posterior according to PIRADS definition (9). If a PIRADS ≥ 3 lesion was traversing more than one of these areas, it was counted for both.
Prostate Biopsy Protocol
All PBx were carried out transperineally or transrectally by a single urologist (ALA) using a three dimensional organ tracking elastic image fusion system (Trinity, Koelis®, Grenoble, France) and 18G needle biopsy as previously described (10–15). All patients underwent MRI followed by TP or TR 12-14 core systematic PBx, with a minimum of two additional target-PBx cores per PIRADS ≥ 3 lesion. The PBx specimens were evaluated by a uropathologist according to International Society of Urological Pathology (ISUP) guidelines (16). Clinically significant prostate cancer (CSPCa) was defined as Grade Group ≥2.
During the study period, the operator (ALA) was transitioning from TR to TP PBx. Once this transition was complete, TP biopsies became the preferred approach, while TR biopsies were performed solely based on patient preference. The operator had extensive experience with both biopsy techniques, having surpassed their respective learning curves. Patient characteristics, lesion location, imaging findings, or other individual factors did not influence the biopsy approach for each patient.
Local Anesthesia Administration
All procedures were performed exclusively under local anesthesia, using techniques widely accepted as part of the current standard of care (17, 18). No additional analgesics, anxiolytics, or sedatives were used. Prior to the biopsies the patients were appropriately counseled about the procedure protocols and watched an educational and informative video
acess: LINK
For a TP biopsy, the patient is placed into dorsal lithotomy position. A total of 10 mL of 2% lidocaine gel is instilled into the rectum and a digital rectal exam is performed. The perineum is prepped with chlorhexidine and the patient is draped. A side-fire endocavity 3D-TRUS probe is then inserted into the rectum. The local anesthesia mixture consists of 40mL of 0.5% lidocaine, as follows: 20 mL of Lidocaine 1%, 18mL of NaCl 0.9% (normal saline) and 2mL of sodium bicarbonate 18%. Sodium bicarbonate is added to the mixture to increase the pH of the acidic anesthetic solution which help reduce a burning sensation. Overall, 5mL of the solution is injected into the perineal skin of each side about 1-2cm anterior to the rectum and 1-2cm lateral to the midline (Figure-1) (14). Under real-time TRUS guidance, a periapical triangle (bounded by levator ani, rhabdosphincter and external anal sphincter muscles) block is then performed using an 18-G spinal needle inserted through a 17-G coaxial introducer needle with 15mL of 0.5% lidocaine used on each side. The local anesthesia is injected into the perineum and periprostatic tissue as the needle is advanced towards the prostatic apex. The 18-G spinal needle is carefully removed, and the co-axial needle sheath is left in place.
Figure 1. A) Periapical triangle nerve block – performed during transperineal prostate biopsy. B) Periprostatic nerve block at the junction of the prostate base, seminal vesicles, and bilateral neurovascular bundles – performed during transrectal biopsy.
For a TR biopsy, the patient is placed into left lateral decubitus position. A total of 10 mL of 2% lidocaine gel is instilled into the rectum and a digital rectal exam is performed. An end-fire endocavity 3D-TRUS probe is then inserted into the rectum. Local anesthesia was administered via a periprostatic nerve block, under real-time TRUS guidance, injecting 10mL of 1% lidocaine solution, 5mL in each side, at the bilateral neurovascular bundles at the junction of the prostate with the seminal vesicles.
Race, Ethnicity and Socioeconomic Status
Race and ethnicity were self-reported according to NIH standards and categorized as follows: Hispanic/Latino (Latino), non-Hispanic Asian (Asian), non-Hispanic Black or African American (Black), non-Hispanic White (White), and Others, which included individuals who did not report or identify with any specific race or ethnicity (19). Socioeconomic status (SES) was assessed using the Distressed Community Index (DCI) (database available at https://eig.org/distressed-communities), a metric developed by the Economic Innovation Group to evaluate the economic well-being of U.S. communities. The DCI is derived from the Census Bureau's Business Patterns and the American Community Survey 5-Year Estimates (2016–2020) and provides a zip code-based composite score. This score incorporates community education levels, poverty rate, unemployment rate, housing vacancy rate, median household income, as well as changes in employment and business establishments. The DCI score ranges from 0 to 100, where 0 represents the most prosperous communities and 100 indicates the most economically distressed. Higher DCI scores correspond to lower SES (20). Each patient's 5-digit zip code was matched to the DCI database, and their respective DCI scores were analyzed.
Endpoints
The primary endpoint was pain. The patients’ self-assessed pain during PBx, using a visual analog scale ranging from 0 to 10, was assessed immediately after the procedure. Patients were asked to rate the overall pain experienced during the biopsy with the Wong-Baker FACES Pain Scale (Supplemental Figure). The FACES scale is recommended for people ages three and older and is a self-assessment tool for physical pain. The tool comes with instructions which include explaining to the patient the amount of pain each face depicts.
Secondary endpoints included PCa and CSPCa detection rates and procedure time (recorded from the moment the TRUS was inserted into the patient's rectum to the moment it was removed).
Statistical Analysis
The Wilcoxon rank sum test was used for continuous variables, and Pearson's chi-square or Fisher exact test was used for categorical variables. Univariable and multivariable linear regression analyses were performed to correlate clinical parameters related to pain. Statistical analyses were conducted using SAS version 9.4 (SAS Institute Inc., Cary, NC, USA). A two-sided p-value of <0.05 was considered statistically significant.
RESULTS
A total of 419 patients underwent TP (n= 322, 77%) or TR (n= 97, 23%) PBx. Overall, 14% of patients were Asian, 5% Black, 17% Latino, 12% Others, and 53% White (Table-1). The median age, PSA, PSA density, prostate volume, PIRADS distribution, PBx approach (TP or TR), and the number of cores sampled were similar between ethnical/racial groups. Clinically significant prostate cancer was detected in 60.1% (196/326) of patients with PIRADS 3-5 lesions and 11.8% (11/93) of patients with PIRADS 1-2 lesions. There was no significant difference for detection of CSPCa based on PIRADS scores between ethnic groups (Table-2A).
Table 1. Baseline characteristics subdivided by patient race / ethnicity.
| All | Asian | Black | Latino | Other | White | p | ||
|---|---|---|---|---|---|---|---|---|
| No. of Patients, n (%) | 419 | 58 (13.8) | 21 (5) | 72 (17.2) | 48 (11.5) | 220 (52.5) | ||
| Age, year, mean (SD) | 66.3 (8.0) | 67.6 (9.6) | 66.8 (7.4) | 65 (8.6) | 67.2 (6.6) | 66.1 (7.7) | 0.21 | |
| BMI, mean (SD) | 28.4 (9.7) | 25.1 (3.5) | 27.5 (6.7) | 30.2 (4.1) | 28.4 (4.3) | 27.9 (4.0) | <.0001 | |
| Family History PCa, n (%) | 108 | 11 (19.6) | 6 (30) | 12 (18.8) | 9 (20.5) | 70 (33.8) | 0.05 | |
| Biopsy History, n (%) | 0.11 | |||||||
| Naïve | 272 | 38 (65.5) | 17 (81) | 38 (53.5) | 26 (56.5) | 153 (69.9) | ||
| Negative | 73 | 11 (19) | 1 (4.8) | 16 (22.5) | 13 (28.3) | 32 (14.6) | ||
| In active surveillance | 70 | 9 (15.5) | 3 (14.3) | 17 (23.9) | 7 (15.2) | 34 (15.5) | ||
| PSA, ng/mL, mean (SD) | 9.8 (18.8) | 7.4 (3.6) | 8.5 (7.5) | 12.4 (27.8) | 10.0 (13.1) | 9.7 (19.3) | 0.97 | |
| PSA density, ng/mL2, mean (SD) | 0.2 (0.4) | 0.2 (0.1) | 0.2 (0.2) | 0.2 (0.5) | 0.2 (0.4) | 0.2 (0.4) | 0.69 | |
| Suspicion for PCa on DRE, n (%) | 98 | 11 (19) | 3 (14.3) | 18 (25) | 11 (22.9) | 55 (25) | 0.73 | |
| PIRADS score, n (%) | 0.36 | |||||||
| PIRADS 1-2 | 93 (22.2) | 17 (29.3) | 7 (33.3) | 15 (20.8) | 8 (16.7) | 46 (20.9) | ||
| PIRADS 3-5 | 326 (77.8) | 41 (70.7) | 14 (66.7) | 57 (79.2) | 40 (83.3) | 174 (79.1) | ||
| Prostate volume, mean (SD) | 59.1 (15.3) | 52.3 (24.2) | 62.4 (51.6) | 67.6 (38.7) | 59.6 (35.2) | 57.6 (29.3) | 0.16 | |
|
No. of MRI lesions
mean (SD) |
1.1 (0.8) | 1.1 (0.8) | 0.8 (0.7) | 1.2 (0.9) | 1.2 (0.7) | 1.1 (0.8) | 0.53 | |
| MRI index lesion location, n (%) | ||||||||
| Anterior | 136 | 16 (27.6) | 5 (23.8) | 22 (30.6) | 26 (54.2) | 67 (30.5) | 0.01 | |
| Posterior | 247 | 28 (48.3) | 12 (57.1) | 42 (58.3) | 24 (50) | 141 (64.1) | 0.15 | |
| MRI index lesion location, n (%) | ||||||||
| Base | 98 | 11 (19) | 3 (14.3) | 20 (27.8) | 9 (19) | 55 (25) | 0.51 | |
| Mid | 222 | 33 (56.9) | 10 (47.6) | 37 (51.4) | 28 (58.3) | 114 (51.8) | 0.85 | |
| Apex | 117 | 16 (27.6) | 3 (14.3) | 18 (25) | 19 (39.6) | 61 (27.7) | 0.24 | |
| MRI index lesion size, mm, mean (SD) | 15.3 (7.5) | 13.4 (5.9) | 13.9 (5.0) | 17.0 (8.8) | 15.2 (8.1) | 15.3 (7.4) | 0.37 | |
| No. of (SB + TB) cores taken mean (SD) | 15.0 (2.2) | 15.1 (2.6) | 14.2 (2.5) | 15.4 (1.6) | 14.7 (2.6) | 15 (2.1) | 0.22 | |
|
No. of TB cores taken
mean (SD) |
3.9 (2.9) | 3.7 (2.8) | 3.0 (2.5) | 3.8 (2.8) | 4.0 (2.4) | 4.1 (3.0) | 0.5 | |
| Biopsy approach, n (%) | 0.63 | |||||||
| Transperineal | 322 (77) | 47 (81) | 15 (71.4) | 51 (70.8) | 37 (77.1) | 172 (78.2) | ||
| Transrectal | 97 (23) | 11 (19) | 6 (28.6) | 21 (29.2) | 11 (22.9) | 48 (21.8) | ||
| Distress Community Index Quintiles, n (%) | <.0001 | |||||||
| Prosperous (0-20) | 133 | 17 (29.8) | 7 (35.0) | 9 (12.9) | 16 (34.0) | 84 (39.1) | ||
| Comfortable (20-40) | 94 | 14 (24.6) | 3 (15) | 10 (14.3) | 11 (23.4) | 56 (26.1) | ||
| Mid-tier (40-60) | 83 | 18 (31.6) | 4 (20.0) | 6 (8.6) | 11 (23.4) | 44 (20.5) | ||
| At risk (60-80) | 60 | 6 (10.5) | 2 (10.0) | 26 (37.1) | 5 (10.6) | 21 (9.8) | ||
| Distressed (80-100) | 39 | 2 (3.5) | 4 (20.0) | 19 (27.1) | 4 (8.5) | 10 (4.7) | ||
BMI = body mass index; DRE = digital rectal examination; IQR = interquartile range; MRI = magnetic resonance imaging; No. = number; PCa = prostate cancer; PIRADS = Prostate Imaging Reporting and Data System; PSA = prostate specific antigen; SB = standard biopsy; SD = standard deviation; TB = target biopsy
Table 2A. Pathologic Outcomes of MRI/TRUS fusion prostate biopsy.
| PIRADS 1-2 | PIRADS 3-5 | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Asian | Black | Latino | Other | White | p | Asian | Black | Latino | Other | White | p | |
| No. of Patients, n (%) | 17 | 7 | 15 | 8 | 46 | 41 | 14 | 57 | 40 | 174 | ||
| PCa detection SB + TB, N (%) | 4 (23.5) | 4 (57.1) | 7 (46.7) | 2 (25) | 19 (41.3) | 0.43 | 32 (78.1) | 11 (78.6) | 35 (61.4) | 32 (80) | 130 (74.7) | 0.20 |
| PCa detection SB, N (%) | 4 (23.5) | 4 (57.1) | 7 (46.7) | 2 (25) | 19 (41.3) | 0.43 | 24 (58.5) | 10 (71.4) | 30 (52.6) | 22 (55) | 102 (58.6) | 0.76 |
| PCa detection TB, N (%) | - | - | - | - | - | - | 28 (68.3) | 11 (78.6) | 31 (54.4) | 28 (70) | 117 (67.2) | 0.30 |
| CSPCa SB + TB, N (%) | 2 (11.8) | 1 (14.3) | 4 (26.7) | 1 (12.5) | 3 (6.5) | 0.35 | 28 (68.3) | 10 (71.4) | 32 (56.1) | 23 (57.5) | 103 (59.2) | 0.65 |
| CSPCa SB, N (%) | 2 (11.8) | 1 (14.3) | 4 (26.7) | 1 (12.5) | 3 (6.5) | 0.35 | 15 (36.6) | 8 (57.1) | 22 (38.6) | 16 (40) | 68 (39.1) | 0.73 |
| CSPCa TB, N (%) | - | - | - | - | - | - | 25 (61) | 9 (64.3) | 28 (49.1) | 21 (52.5) | 97 (55.8) | 0.73 |
CSPCa = clinically significant prostate cancer; No. = number; PCa = prostate cancer; PIRADS = Prostate Imaging Reporting and Data System; SB = systematic biopsy; TB = target biopsy
Of the cohort, 20% of Black and 27% of Latino patients were most distressed (DCI 80-100), in contrast to 4% of Asian, 9% of Other, and 5% of White patients (p<0.001) (Table-1). The median (IQR) self-assessed pain level for all patients was 3 (2-5). Pain levels were higher for Black 5 (2-5) and Latino 4 (3-5) compared to Asian 3 (2-4), Other 3 (2-5), and White 3 (2-4) patients (p=0.01) (Table-2B, Figures 2 and 3). Median operative time was 15 minutes (IQR 15 – 21 minutes), and it was not significantly different between ethnic groups (Tables 1 and 3, Figures 2 and 3). Pain levels were not statistically significantly associated with increased procedure time (β 0.003, 95% CI −0.03, 0.04; p = 0.87) or the detection of prostate cancer (β −0.11, 95% CI −0.51, 0.28; p = 0.57). On multivariable analysis, younger age (β −0.04, 95% CI −0.06, 0.01), Black (β 1.11, 95% CI 0.25, 1.98) or Latino (β 0.72, 95% CI 0.19, 1.26) race, and the number of lesions on MRI (β 0.30, 95% CI 0.07, 0.53) were independent predictors for pain levels, but the biopsy approach (TP or TR) and the DCI were not (Table-3, Figure 2 and 3).
Table 2B. Perioperative outcomes after MRI/TRUS fusion prostate biopsy.
| Race/Ethnic Groups | |||||||
|---|---|---|---|---|---|---|---|
| All | White | Black | Latino | Asian | Other | p | |
| Number of patients, n (%) | 419 | 220 (52.5) | 21 (5) | 72 (17.2) | 58 (13.8) | 48 (11.5) | |
| Pain during biopsy, median (IQR) | 3 (2-5) | 3 (2-4) | 5 (2-5) | 4 (3-5) | 3 (2-4) | 3 (2-5) | 0.01 |
| Procedure time for PBx, minutes, median (IQR) | 18 (15-21) | 18 (16-20) | 17 (15-21) | 18 (15-20) | 18 (14-22) | 20 (17-25) | 0.06 |
IQR = interquartile range; PBx = prostate biopsy
Figure 2. Patients’ self-assessed pain level during transperineal or transrectal prostate biopsy under local anesthesia.
Figure 3. Distribution of Pain Levels (A). Reported pain levels by Number of MRI Suspicious Lesions (B), Age (C), DCI (D), Procedure Time (E).
Each graph represents the smoothed median pain scale across age, DCI, procedure time, or number of MRI-suspicious lesions, fitted using LOESS regression to highlight the general trend in pain scale variation with each category. P value of MRI suspicious lesion was not statistically significant (p=0.052) on univariable analysis but significant (p=0.008) on multivariable analysis.
Table 3. Univariable and Multivariable analyses for pain level during prostate biopsy under local anesthesia.
| Variables | Univariate | Multivariate | |||||
|---|---|---|---|---|---|---|---|
| β | CI (95%) | p | β | CI (95%) | p | ||
| Age, year | -0.03 | -0.06 to −0.01 | 0.004 | -0.03 | -0.06 to −0.01 | 0.006 | |
| Family History PCa | -0.49 | -0.92 to −0.07 | 0.02 | ||||
| BMI | -0.01 | -0.03 to 0.01 | 0.40 | ||||
| Biopsy history | |||||||
| Previous Negative biopsy vs Naïve | -0.14 | -0.65 to 0.37 | 0.58 | ||||
| Previous Positive biopsy vs Naïve | 0.17 | -0.34 to 0.69 | 0.50 | ||||
| PSA, ng/mL | -0.003 | -0.013 to 0.006 | 0.52 | ||||
| PSA density * , ng/mL2 | -0.11 | -0.57 to 0.36 | 0.65 | ||||
| Race | |||||||
| Asian vs NH-White | -0.05 | -0.61 to 0.51 | 0.85 | -0.11 | -0.68 to 0.45 | 0.69 | |
| Hispanic vs HN-White | 0.77 | 0.26 to 1.29 | 0.003 | 0.87 | 0.30 to 1.45 | 0.003 | |
| Black vs NH-White | 0.94 | 0.07 to 1.81 | 0.03 | 1.16 | 0.29 to 2.03 | 0.009 | |
| Others vs NH-White | 0.27 | -0.34 to 0.87 | 0.39 | 0.17 | -0.45 to 0.79 | 0.59 | |
| DRE, suspicious vs non-suspicious | 0.12 | -0.32 to 0.56 | 0.59 | ||||
| Prostate Volume, cc | -0.005 | -0.010 to 0.001 | 0.11 | ||||
| No. MRI lesions | 0.23 | -0.002 to 0.462 | 0.052 | 0.32 | 0.08 to 0.55 | 0.008 | |
| MRI lesion size, mm | 0.006 | -0.023 to 0.034 | 0.69 | ||||
| PIRADS 3-5 vs PIRADS 1-2 | 0.31 | -0.14 to 0.76 | 0.18 | ||||
| No. TB cores taken | -0.04 | -0.12 to 0.05 | 0.40 | ||||
| Prostate biopsy approach TP vs TR | 0.03 | -0.04 to 0.10 | 0.37 | 0.01 | -0.43 to 0.45 | 0.95 | |
| No. Bx (SB + TB) cores taken | -0.16 | -0.60 to 0.29 | 0.49 | ||||
| Procedure Time (min) | 0.003 | -0.033 to 0.039 | 0.16 | ||||
| Presence of Prostate Cancer | -0.11 | -0.51 to 0.28 | 0.57 | ||||
| Distress Community Index Score (0-100) | -0.001 | -0.009 to 0.005 | 0.62 | -0.006 | -0.014 to 0.001 | 0.10 | |
PIRADS = Prostate Imaging Reporting and Data System; MRI = magnetic resonance imaging; OR = odds ratio; CI = confidence interval; PCa = prostate cancer; CSPCa = Clinically significant PCa (Grade Group > 1); DRE = digital rectal examination; DRE = digital rectal examination; NH = non-Hispanic
PSA density was calculated per 0.01 unit.
DISCUSSION
There were 419 patients in our cohort who underwent prostate biopsy with a transperineal or transrectal approach. There was no significant difference in pain based on approach. The median pain level for all patients was 3 / 10, and it was significantly higher for Black patients and Latino patients. Other predictors of pain included younger age and increased number of lesions on MRI. There was no association of pain with prostate size, biopsy history, operative time or PIRADS score on univariable analysis or DCI on multivariable analysis.
Our study is the first to demonstrate an ethnic difference in pain during prostate biopsy. While this has not been shown before in the setting of prostate biopsy, there have been other studies which have exhibited that Latino and Black patients have increased pain perception. Perry et al. performed a systematic review of a variety of procedures including tonsillectomy, hip and knee arthroplasty demonstrating that there were significantly higher preoperative and postoperative pain intensity scores reported by African American and Hispanic individuals compared with non-Hispanic whites (21). Meanwhile, in the laboratory setting, Hastie et al. experimented on thermal, pressure, and ischemic pain perception between non-Hispanic whites, non-white Hispanics and African Americans, and demonstrated that African Americans and Hispanics had decreased pain tolerance (22).
The reason for difference in pain perception in ethnicity is unclear, but it is likely multifactorial. One possible reason for increased pain in certain ethnicities is the presence of different genetic predispositions. In the review by Perry et al., they reported on studies showing that polymorphisms in the genes Catechol-O-methyltransferase (COMT) and mu opioid receptor 1 (OPRM1) were associated with pain. Specifically, there is a single nucleotide polymorphism (SNP) in codon 158 (val158met) which affects COMT protein stability and has been associated with pain (23). Lee et al. demonstrated that COMT polymorphisms associated with high pain sensitivity were more prevalent in African Americans than Caucasian patients (24). Meanwhile Hastie et al. demonstrated that a specific polymorphism for OPRM1 was present in about 28% of Hispanic patients and it was associated with increased pain sensitivity for Hispanic patients but not for Caucasian patients (22). While no study has looked specifically at genetic predispositions to prostate biopsy pain, there is evidence that genetic polymorphisms exist associated with pain.
Socioeconomic status has also been reported to be associated with increased postoperative pain. Additionally, it has been reported that there are inequalities in SES strongly patterned by race including African Americans persistently having higher levels of poverty than Caucasian people (25). Furthermore, lower SES has been shown to be associated with poorer mental health and increased psychologic stress which may impact pain perception (26). Thurston et al. found in a systematic review that lower SES was associated with worse pain perception after various procedures (8). Pain was not associated with DCI in our study, which could be related to its limited ability to accurately assess an individual patient's SES given that it is based on location (zip code).
Our study also demonstrated that pain was associated with younger age Younger age was also associated with prostate biopsy pain in studies by Marra et al. and Gomez-Gomez et al. (27, 28). As younger patients have had less exposure to health care and different medical interventions, increased pain perception may be attributed to a decreased familiarity with pain from such procedures (27, 28). We additionally demonstrated increased pain scores with a higher number of MRI lesions, despite number of biopsy cores, prostate size, operative time and lesion size not being significant. Upon examining Figure-3 the increased pain was seen in those with four different target lesions. It is possible that excessive manipulation of the needle and probe could lead to more discomfort and increase patient anxiety.
We have identified several patient characteristics associated with increased pain during biopsy: younger age, Latino ethnicity, Black race and multiple MRI lesions. Recognizing populations who are at more risk of severe pain is important as such patients can be counseled to undergo a biopsy under sedation. Cricco-Lizza et al. demonstrated that transperineal prostate biopsies under local anesthesia is safe and has comparable outcomes compared to those done under sedation, but median pain scores were 3/10 versus 0/10, respectively (29). Escobar et al. also demonstrated significant decrease in pain scores during transrectal prostate biopsy performed with the use of nitrous oxide in a randomized trial (30). Pre-procedure counseling regarding higher pain levels and discussion of additional strategies to mitigate pain can be performed in these populations with increased pain risk.
There are some limitations of our study. First, race and ethnicity can be broken down further to specific countries where patients’ families are from which can further impact genetic and cultural factors. Second, DCI uses zip codes to determine SES at a community-level and is therefore limited in its ability to accurately identify SES at an individual level for each patient. Meanwhile, strengths include the diversity of the patient population and that the data is reliable given that it was collected prospectively through a well-managed protocol in a center of extensive experience in both transperineal and transrectal prostate biopsy (13–15).
CONCLUSIONS
We demonstrate that the risk factors for higher pain levels during prostate biopsy under local anesthesia are Black and Latino race, younger age and increased number of MRI lesions. Meanwhile, socioeconomic status did not have an impact on pain levels. Upon counseling patients for prostate biopsy, risk factors of higher pain levels may be discussed to ensure they are well-informed when making the decision to have a biopsy performed under local anesthesia versus sedation. Further validation studies are warranted.
ACKNOWLEDGEMENTS
Kevin Joseph Chua and Lorenzo Storino Ramacciotti contributed similarly as first author
We sincerely appreciate Tracy Campanelli Palmer, Clinical Research Regulatory Administrator, for her invaluable support and expertise in managing the prostate biopsy database. We also extend our gratitude to Daianna Lovos, Ultrasound Technologist, for her unwavering daily assistance in coordinating logistics.
Glossary
ABBREVIATIONS
- PBx
= Prostate Biopsy
- LA
= Local Anesthesia
- TP
= Transperineal
- TR
= Transrectal
- DCI
= Distressed Community Index
- SES
= Socioeconomic Status
- mpMRI
= Multiparametric MRI
- PIRADS
= Prostate Imaging Reporting & Data System
- CSPCa
= Clinically Significant Prostate Cancer
Footnotes
ETHIC STATEMENT: Principles of Helsinki Declaration were followed in lieu of formal ethics committee approval
Data Availability
All data generated or analysed during this study are included in this published article
APPENDIX
REFERENCES
- 1.Loeb S, Vellekoop A, Ahmed HU, Catto J, Emberton M, Nam R, et al. Systematic review of complications of prostate biopsy. Eur Urol. 2013;64(6):876–892. doi: 10.1016/j.eururo.2013.05.049. [DOI] [PubMed] [Google Scholar]
- 2.Morote J, Paesano N, Picola N, Muñoz-Rodriguez J, Ruiz-Plazas X, Muñoz-Rivero MV, et al. Validation of the Barcelona-MRI predictive model when PI-RADS v2.1 is used with transperineal prostate biopsies. Int Braz J Urol. 2024;50(5):595–604. doi: 10.1590/S1677-5538.IBJU.2024.0204. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Paesano N, Catalá V, Tcholakian L, Alomar X, Barranco M, Trilla E, et al. The effectiveness of mapping-targeted biopsies on the index lesion in transperineal prostate biopsies. Int Braz J Urol. 2024;50(3):296–308. doi: 10.1590/S1677-5538.IBJU.2024.0061. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Zhou Z, Li T, Zhang Y, Zhou X, Wang X, Cui D, et al. Biplanar or Monoplanar Prostate Biopsy: Should Transrectal and Transperineal Ap-proaches be Combined for Prostate Cancer Detection? Int Braz J Urol. 2025 Mar-Apr;51(2):e20240630. doi: 10.1590/S1677-5538.IBJU.2024.0630. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Vega J, Emara AK, Orr M, Klika AK, Piuzzi NS, Cleveland Clinic Arthroplasty Outcomes Research Group Demographic and socioeconomic determinants are associated with poor preoperative patient-reported pain and function in primary TKA: a cohort study of 14,079 patients. J Bone Joint Surg Am. 2023;105(4):286–292. doi: 10.2106/JBJS.22.00565. [DOI] [PubMed] [Google Scholar]
- 6.Feldman CH, Dong Y, Katz JN, Donnell-Fink LA, Losina E. Association between socioeconomic status and pain, function and pain catastrophizing at presentation for total knee arthroplasty. BMC Musculoskelet Disord. 2015;16(1):18–18. doi: 10.1186/s12891-015-0475-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Rahim-Williams FB, Riley JL, 3rd, Herrera D, Campbell CM, Hastie BA, Fillingim RB. Ethnic identity predicts experimental pain sensitivity in African Americans and Hispanics. Pain. 2007;129(1-2):177–184. doi: 10.1016/j.pain.2006.12.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Thurston KL, Zhang SJ, Wilbanks BA, Billings R, Aroke EN. A systematic review of race, sex, and socioeconomic status differences in postoperative pain and pain management. J Perianesth Nurs. 2023;38(3):504–515. doi: 10.1016/j.jopan.2022.10.007. [DOI] [PubMed] [Google Scholar]
- 9.Turkbey B, Rosenkrantz AB, Haider MA, Padhani AR, Villeirs G, Macura KJ, et al. Prostate imaging reporting and data system version 2.1: 2019 update of prostate imaging reporting and data system version 2. Eur Urol. 2019;76(3):340–351. doi: 10.1016/j.eururo.2019.02.033. [DOI] [PubMed] [Google Scholar]
- 10.Tafuri A, Ashrafi AN, Palmer S, Shakir A, Cacciamani GE, Iwata A, et al. One-stop MRI and MRI/transrectal ultrasound fusion-guided biopsy: an expedited pathway for prostate cancer diagnosis. World J Urol. 2020;38(4):949–956. doi: 10.1007/s00345-019-02867-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Kaneko M, Medina LG, Lenon MSL, Hemal S, Sayegh AS, Jadvar DS, et al. Transperineal vs transrectal magnetic resonance and ultrasound image fusion prostate biopsy: a pair-matched comparison. Sci Rep. 2023;13(1):13457–13457. doi: 10.1038/s41598-023-40605-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Tafuri A, Iwata A, Shakir A, Iwata T, Gupta C, Sali A, et al. Systematic biopsy of the prostate can be omitted in men with PI-RADS™ 5 and prostate specific antigen density greater than 15. J Urol. 2021;206(2):289–297. doi: 10.1097/JU.0000000000001735. [DOI] [PubMed] [Google Scholar]
- 13.Ramacciotti LS, Strauss D, Cei F, Kaneko M, Mokhtar D, Cai J, et al. Transperineal versus transrectal MRI/TRUS fusion-guided prostate biopsy in a large, ethnically diverse, and multiracial cohort. Int Braz J Urol. 2024;50(5):616–628. doi: 10.1590/S1677-5538.IBJU.2024.0354. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Kaneko M, Medina LG, Lenon MSL, Sayegh AS, Lebastchi AH, Cacciamani GE, et al. Transperineal magnetic resonance imaging/transrectal ultrasonography fusion prostate biopsy under local anaesthesia: the "double-freehand" technique. BJU Int. 2023;131(6):770–774. doi: 10.1111/bju.15985. [DOI] [PubMed] [Google Scholar]
- 15.Nassiri N, Beeder L, Nazemi A, Asanad K, Um J, Gill I, et al. Step-by-step: fusion-guided prostate biopsy in the diagnosis and surveillance of prostate cancer. Int Braz J Urol. 2019;45(6):1277–1278. doi: 10.1590/S1677-5538.IBJU.2019.06.24. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Epstein JI, Egevad L, Amin MB, Delahunt B, Srigley JR, Humphrey PA. The 2014 International Society of Urological Pathology (ISUP) consensus conference on Gleason grading of prostatic carcinoma: definition of grading patterns and proposal for a new grading system. Am J Surg Pathol. 2016;40(2):244–252. doi: 10.1097/PAS.0000000000000530. [DOI] [PubMed] [Google Scholar]
- 17.Cheng E, Davuluri M, Lewicki PJ, Hu JC, Basourakos SP. Developments in optimizing transperineal prostate biopsy. Curr Opin Urol. 2022;32(1):85–90. doi: 10.1097/MOU.0000000000000947. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Li M, Wang Z, Li H, Yang J, Rao K, Wang T, et al. Local anesthesia for transrectal ultrasound-guided biopsy of the prostate: a meta-analysis. Sci Rep. 2017;7:40421–40421. doi: 10.1038/srep40421. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Office of Policy for Extramural Research Administration . NIH Policy and Guidelines on the Inclusion of Women and Minorities as Subjects in Clinical Research. 2025. Available from: < https://grants.nih.gov/grants/guide/notice-files/NOT-OD-25-131.html> . [Google Scholar]
- 20.Storino Ramacciotti L, Kaneko M, Rodler S, Mohideen M, Cai J, Liang G, et al. A sustainable and expedited "One-Stop" prostate cancer diagnostic pathway to reduce environmental impact and enhance accessibility. BJUI Compass. 2024;5(12):1278–1287. doi: 10.1002/bco2.447. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Perry M, Baumbauer K, Young EE, Dorsey SG, Taylor JY, Starkweather AR. The influence of race, ethnicity and genetic variants on postoperative pain intensity: an integrative literature review. Pain Manag Nurs. 2019;20(3):198–206. doi: 10.1016/j.pmn.2018.09.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Hastie BA, Riley JL, 3rd, Kaplan L, Herrera DG, Campbell CM, Virtusio K, et al. Ethnicity interacts with the OPRM1 gene in experimental pain sensitivity. Pain. 2012;153(8):1610–1619. doi: 10.1016/j.pain.2012.03.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Diatchenko L, Nackley AG, Slade GD, Bhalang K, Belfer I, Max MB, et al. Catechol-O-methyltransferase gene polymorphisms are associated with multiple pain-evoking stimuli. Pain. 2006;125(3):216–224. doi: 10.1016/j.pain.2006.05.027. [DOI] [PubMed] [Google Scholar]
- 24.Lee C, Liptan G, Kantorovich S, Sharma M, Brenton A. Association of catechol-O-methyltransferase single nucleotide polymorphisms, ethnicity, and sex in a large cohort of fibromyalgia patients. BMC Rheumatol. 2018;2:38–38. doi: 10.1186/s41927-018-0045-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Williams DR, Mohammed SA, Leavell J, Collins C. Race, socioeconomic status, and health: complexities, ongoing challenges, and research opportunities. Ann N Y Acad Sci. 2010;1186:69–101. doi: 10.1111/j.1749-6632.2009.05339.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Khalatbari-Soltani S, Blyth FM. Socioeconomic position and pain: a topical review. Pain. 2022;163(10):1855–1861. doi: 10.1097/j.pain.0000000000002634. [DOI] [PubMed] [Google Scholar]
- 27.Marra G, Zhuang J, Marquis A, Zhao X, Calleris G, Kan Y, et al. Pain in men undergoing transperineal free-hand multiparametric magnetic resonance imaging fusion targeted biopsies under local anesthesia: outcomes and predictors from a multicenter study of 1,008 patients. J Urol. 2020;204(6):1209–1215. doi: 10.1097/JU.0000000000001234. [DOI] [PubMed] [Google Scholar]
- 28.Gómez-Gómez E, Ramírez M, Gómez-Ferrer A, Rubio-Briones J, Iborra I, Carrasco-Valiente J, et al. Assessment and clinical factors associated with pain in patients undergoing transrectal prostate biopsy. Actas Urol Esp. 2015;39(7):414–419. doi: 10.1016/j.acuro.2015.01.007. [DOI] [PubMed] [Google Scholar]
- 29.Cricco-Lizza E, Wilcox Vanden Berg RN, Laviana A, Pantuck M, Basourakos SP, Salami SS, et al. Comparative effectiveness and tolerability of transperineal MRI-targeted prostate biopsy under local versus sedation. Urology. 2021;155:33–38. doi: 10.1016/j.urology.2021.06.023. [DOI] [PubMed] [Google Scholar]
- 30.Escobar AJ, Krishna S, Flowers KM, Abello A, Gershman B, Wagner AA, et al. Practical use of self-adjusted nitrous oxide during transrectal prostate biopsy: a double-blind randomized controlled trial. J Urol. 2024;211(2):214–222. doi: 10.1097/JU.0000000000003789. [DOI] [PubMed] [Google Scholar]
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Data Availability Statement
All data generated or analysed during this study are included in this published article



