Fusion-guided Biopsy Research Articles

Multimodal approach to optimize biopsy decision-making for PI-RADS 3 lesions on multiparametric MRI

PurposeTo develop and evaluate a multimodal approach including clinical parameters and biparametric MRI-based artificial intelligence (AI) model for determining the necessity of prostate biopsy in patients with PI-RADS 3 lesions. MethodsThis retrospective study included a prospectively recruited patient cohort with PI-RADS 3 lesions who underwent prostate MRI and MRI/US fusion-guided biopsy between April 2019 and February 2024 in a single institution. The study examined demographic data, PSA and PSA density (PSAD) levels, prostate volumes, prospective PI-RADS v2.1-compliant interpretations of a genitourinary radiologist, lesion characteristics, history of prior biopsies, and AI evaluations, focusing mainly on the detection of clinically significant prostate cancer (csPCa) (International Society of Urological Pathology grade group ≥2) on MRI/US fusion-guided biopsy. The AI model lesion segmentations were compared to manual segmentations and biopsy results. The statistical methods employed included Fisher's exact test and logistic regression. ResultsThe cohort was comprised of 248 patients with 312 PI-RADS 3 lesions in total (n = 268 non-csPCa, n = 44 csPCa). The AI model's negative predictive value (NPV) was 89.2 % for csPCa in all lesions. In patient-level analysis, the NPV was 91.2 % for patients with a highest PI-RADS score of 3. PSAD was a significant predictor of csPCa (odds ratio = 5.8, p = 0.038). Combining AI and PSAD, where AI correctly mapped a lesion or PSAD ≥0.15 ng/mL2, achieved higher sensitivity (77.8 %) while maintaining a high NPV (93.1 %). ConclusionCombining AI and PSAD has the potential to enhance biopsy decision-making for PI-RADS 3 lesions by minimizing missed csPCa occurrences and reducing unnecessary biopsies.

Prospective evaluation of PI-RADSv2.1 using multiparametric and biparametric MRI for detecting clinically significant prostate cancer based on MRI/US fusion-guided biopsy.

To evaluate the cancer detection rates for each category of Prostate Imaging-Reporting and Data System version 2.1 (PI-RADSv2.1) using multiparametric magnetic resonance imaging (mpMRI) and biparametric MRI (bpMRI) based on MRI/ultrasound (US)-fusion biopsy. This prospective study included participants who underwent mpMRI or bpMRI with a PI-RADSv2.1 interpretation and subsequently received MRI/US-fusion biopsy between August 2022 and December 2023. The lesion-based detection rates of clinically significant prostate cancer (csPCa) in each PI-RADSv2.1 category and the correlation between PI-RADSv2.1 categories and International Society of Urological Pathology (ISUP) grade groups were analyzed. The diagnostic performance of PI-RADSv2.1 in predicting csPCa was evaluated, and diagnostic performance of mpMRI and bpMRI was compared using cut-offs, with PI-RADSv2.1 categories ≥ 3 or ≥ 4 defined as positive. A total of 247 lesions from 216 participants were included in this study. A total of 157 patients underwent mpMRI and the remaining 59 underwent bpMRI. The csPCa detection rates for each PI-RADSv2.1 category of mpMRI and bpMRI were as follows: category 1, 0% (0/11); 2, 13% (3/23); 3, 16% (5/31); 4, 60% (43/72); 5, 65% (26/40), in mpMRI; category 1, 0% (0/4); 2, 33% (1/3); 3, 25% (3/12); 4, 61% (19/31); 5, 75% (15/20) in bpMRI. PI-RADSv2.1 categories were significantly positively associated with csPCa detection rates in both mpMRI and bpMRI (p < 0.0001 and p = 0.00048, respectively). PI-RADSv2.1 categories correlated with ISUP grade groups for mpMRI and bpMRI (p < 0.0001 for both). There were no significant differences in the detection rates between mpMRI and bpMRI for PI-RADS v2.1 positive and negative lesions. PI-RADSv2.1 using mpMRI and bpMRI could stratify the risk of csPCa, and the csPCa detection rate of bpMRI was compatible with that of mpMRI using cut-offs of PI-RADSv2.1 categories ≥ 3 or ≥ 4.

Using a novel PSMA-PET and PSA-based model to enhance the diagnostic accuracy for clinically significant prostate cancer and avoid unnecessary biopsy in men with PI-RADS ≤ 3 MRI.

The diagnostic evaluation of men with suspected prostate cancer (PCa) yet inconclusive MRI (PI-RADS ≤ 3) presents a common clinical challenge. [68Ga]Ga-labelled prostate-specific membrane antigen ([68Ga]Ga-PSMA) positron emission tomography/computed tomography (PET/CT) has shown promise in identifying clinically significant PCa (csPCa). We aim to establish a diagnostic model incorporating PSMA-PET to enhance the diagnostic process of csPCa in PI-RADS ≤ 3 men. This study retrospective included 151 men with clinical suspicion of PCa and PI-RADS ≤ 3 MRI. All men underwent [68Ga]Ga-PSMA PET/CT scans and ultrasound/MRI/PET fusion-guided biopsies. csPCa was defined as Grade Group ≥ 2. PRIMARY-scores from PSMA-PET scans were evaluated. A diagnostic model incorporating PSMA-PET and prostate-specific antigen (PSA)-derived parameters was developed. The discriminative performance and clinical utility were compared with conventional methods. Internal validation was conducted using a fivefold cross-validation with 1000 iterations. In this PI-RADS ≤ 3 cohort, areas-under-the-curve (AUCs) for detecting csPCa were 0.796 (95%CI, 0.738-0.853), 0.851 (95%CI, 0.783-0.918) and 0.806 (95%CI, 0.742-0.870) for PRIMARY-score, SUVmax and routine clinical PSMA-PET assessment, respectively. The diagnostic model comprising PRIMARY-score, SUVmax and serum free PSA/total PSA (fPSA/tPSA) achieved a significantly higher AUC of 0.906 (95%CI, 0.851-0.961) compared to strategies based on PRIMARY-score or SUVmax (P < 0.05) and markedly superior to conventional strategies typically based on PSA density (P < 0.001). The average fivefold cross-validated AUC with 1000 iterations was 0.878 (95%CI, 0.820-0.954). Theoretically, using a threshold of 21.6%, the model could have prevented 78% of unnecessary biopsies while missing only 7.8% of csPCa cases in this cohort. A novel diagnostic model incorporating PSMA-PET derived metrics-PRIMARY-score and SUVmax-along with serum fPSA/tPSA, has been developed and validated. The integrated model may assist clinical decision-making with enhanced diagnostic accuracy over the individual conventional metrics. It has great potential to reduce unnecessary biopsies for men with PI-RADS ≤ 3 MRI results and warrants further prospective and external evaluations.

Multiparametric magnetic resonance imaging and magnetic resonance imaging fusion-guided biopsy for the diagnosis of prostate cancer: current status

This review explains the role of multiparametric magnetic resonance imaging, particularly in prostate biopsy, in the detection of prostate cancer. The use of multiparametric magnetic resonance imaging in the diagnosis of prostate cancer has also allowed its use in magnetic resonance imaging-guided biopsies, which according to many studies present high sensitivity and specificity in early diagnosis and staging, in patients with persistently high prostate-specific antigen levels despite previous negative prostate biopsies, and in the follow-up of patients under active surveillance. To perform a targeted prostate biopsy, three types of magnetic resonance imaging guidance are available: cognitive fusion, direct magnetic resonance imaging-guided biopsy performed within a tomograph (in-bore biopsies), and software coregistration of stored magnetic resonance images with real-time ultrasound using a fusion device, with multiparametric magnetic resonance imaging findings digitally overlaid on real-time transrectal ultrasound images for targeted biopsy. Each method has its advantages and disadvantages. Magnetic resonance imaging-targeted biopsy improves the quality of histological results compared with other approaches, with approximately 90% correct detection of significant index lesions. Correct staging allows the selection of the best therapeutic options, adequate evaluation of the prognosis, and reduction of the incidence of new biopsies and complications. The current objective is to make magnetic resonance imaging-guided biopsy increasingly available and standardize the technique to minimize inter-operator variability depending on the available system.

MRI characteristics predict risk of pathological upgrade in patients with ISUP grade group 1 prostate cancer.

This study aims to analyse multiparametric MRI (mpMRI) characteristics of patients diagnosed with ISUP grade group (GG) 1 prostate cancer (PC) on initial target plus systematic MRI/TRUS fusion-guided biopsy and investigate histopathological progression during follow-up. A retrospective single-centre cohort analysis was conducted on consecutive patients with mpMRI visible lesions (PI-RADS ≥ 3) and detection of ISUP-1-PC at the time of initial biopsy. The study assessed clinical, mpMRI, and histopathological parameters. Subcohorts were analysed with (1) patients who had confirmed ISUP-1-PC and (2) patients who experienced histopathological upgrading to ISUP ≥ 2 PC during follow-up either at re-biopsy or radical prostatectomy (RP). A total of 156 patients (median age 65 years) between March 2014 and August 2021 were included. Histopathological upgrading to ISUP ≥ 2 was detected in 55% of patients during a median follow-up of 9.5 months (IQR 2.2-16.4). When comparing subgroups with an ISUP upgrade and sustained ISUP 1 PC, they differed significantly in contact length of the index lesion to the pseudocapsule, ADC value, PI-RADS category, and the MRI grading group (mGG) (p < 0.05). In the ISUP GG ≥ 2 subgroup, 91% of men had PI-RADS category 4 or 5 and 82% exhibited the highest mGG (mGG3). In multivariate analysis, mGG was the only independent parameter for predicting ISUP ≥ 2-PC in these patients. MRI reveals important information about PC aggressiveness and should be incorporated into clinical decision-making when ISUP-1-PC is diagnosed. In cases of specific MRI characteristics adverse to the histopathology, early re-biopsy might be considered. In cases with clear MRI characteristics for clinically significant prostate cancer (e.g., mGG 3 and/or PI-RADS 5, cT3, or clear focal PI-RADS 4 lesions on MRI) and ISUP GG 1 PC diagnosed on initial prostate biopsy, MRI findings should be incorporated into clinical decision-making and early re-biopsy (e.g., within 6 months) might be considered. MRI reveals important information about prostate cancer (PC) aggressiveness. MRI should be incorporated into clinical decision-making when ISUP GG 1 PC is diagnosed on initial prostate biopsy. In cases of specific MRI characteristics adverse to the histopathology, early re-biopsy might be considered.

Evaluation of a Cascaded Deep Learning-based Algorithm for Prostate Lesion Detection at Biparametric MRI.

Background Multiparametric MRI (mpMRI) improves prostate cancer (PCa) detection compared with systematic biopsy, but its interpretation is prone to interreader variation, which results in performance inconsistency. Artificial intelligence (AI) models can assist in mpMRI interpretation, but large training data sets and extensive model testing are required. Purpose To evaluate a biparametric MRI AI algorithm for intraprostatic lesion detection and segmentation and to compare its performance with radiologist readings and biopsy results. Materials and Methods This secondary analysis of a prospective registry included consecutive patients with suspected or known PCa who underwent mpMRI, US-guided systematic biopsy, or combined systematic and MRI/US fusion-guided biopsy between April 2019 and September 2022. All lesions were prospectively evaluated using Prostate Imaging Reporting and Data System version 2.1. The lesion- and participant-level performance of a previously developed cascaded deep learning algorithm was compared with histopathologic outcomes and radiologist readings using sensitivity, positive predictive value (PPV), and Dice similarity coefficient (DSC). Results A total of 658 male participants (median age, 67 years [IQR, 61-71 years]) with 1029 MRI-visible lesions were included. At histopathologic analysis, 45% (294 of 658) of participants had lesions of International Society of Urological Pathology (ISUP) grade group (GG) 2 or higher. The algorithm identified 96% (282 of 294; 95% CI: 94%, 98%) of all participants with clinically significant PCa, whereas the radiologist identified 98% (287 of 294; 95% CI: 96%, 99%; P = .23). The algorithm identified 84% (103 of 122), 96% (152 of 159), 96% (47 of 49), 95% (38 of 40), and 98% (45 of 46) of participants with ISUP GG 1, 2, 3, 4, and 5 lesions, respectively. In the lesion-level analysis using radiologist ground truth, the detection sensitivity was 55% (569 of 1029; 95% CI: 52%, 58%), and the PPV was 57% (535 of 934; 95% CI: 54%, 61%). The mean number of false-positive lesions per participant was 0.61 (range, 0-3). The lesion segmentation DSC was 0.29. Conclusion The AI algorithm detected cancer-suspicious lesions on biparametric MRI scans with a performance comparable to that of an experienced radiologist. Moreover, the algorithm reliably predicted clinically significant lesions at histopathologic examination. ClinicalTrials.gov Identifier: NCT03354416 © RSNA, 2024 Supplemental material is available for this article.

Assessment of the accuracy of biparametric MRI/TRUS fusion-guided biopsy for index tumor evaluation using postoperative pathology specimens

BackgroundMultiparametric MRI (mpMRI) is widely used for the diagnosis, surveillance, and staging of prostate cancer. However, it has several limitations, including higher costs, longer examination times, and the use of gadolinium-based contrast agents. This study aimed to investigate the accuracy of preoperatively assessed index tumors (ITs) using biparametric MRI (bpMRI)/transrectal ultrasound (TRUS) fusion biopsy compared with radical prostatectomy (RP) specimens.MethodsWe included 113 patients diagnosed with prostate cancer through bpMRI/TRUS fusion-guided biopsies of lesions with a Prostate Imaging Reporting and Data System (PI-RADS) category ≥ 3. These patients underwent robot-assisted laparoscopic radical prostatectomy (RARP) at our institution between July 2017 and March 2023. We examined the localization of preoperative and postoperative ITs, the highest Gleason score (GS), and tumor diameter in these patients.ResultsThe preoperative cT stage matched the postoperative pT stage in 53 cases (47%), while 31 cases (27%) were upstaged, and 29 cases (26%) were downstaged (Weighted Kappa = 0.21). The preoperative and postoperative IT localizations were consistent in 97 cases (86%). The concordance rate between Gleason groups in targeted biopsies and RP specimens was 51%, with an upgrade in 25 cases (23%) and a downgrade in 27 cases (25%) (Weighted Kappa = 0.42). The maximum diameter of the IT and the maximum cancer core length on biopsy were correlated with the RP tumor's maximum diameter (p < 0.001 for both).ConclusionThe diagnostic accuracy of bpMRI/TRUS fusion biopsy is comparable to mpMRI, suggesting that it can be a cost-effective and time-saving alternative.

MRI in-bore biopsy following MRI/US fusion-guided biopsy in patients with persistent suspicion of clinically significant prostate cancer

PurposePatients with suspicion of clinically significant prostate cancer (csPC) on multiparametric prostate MRI (mpMRI) but negative or inconclusive MRI/US fusion-guided biopsy (FB) can be challenging in clinical practice. To assess the utility of MRI in-bore biopsy (IB) in patients with discordant imaging and histopathological findings after FB. MethodsConsecutive patients with Prostate Imaging Reporting and Data System (PI-RADS) category 4 or 5 on mpMRI at 3T after FB without histologically confirmed csPC who underwent IB between 01/2014 and 05/2022, were retrospectively included. The primary objective was to assess the detection rate of csPC. Secondary objectives were to analyze clinical parameters, MRI parameters, and lesion localization. ResultsIn the final cohort of 51 patients, the IB resulted in an overall detection rate of 71% for PC and 47% for csPC. Furthermore, in 55% of cases with initial low-grade PC, the Gleason score was upgraded after IB. CsPC was often detected apical and/or anterior. The detection rate for PC was 58% in PI-RADS category 4 and 94% in PI-RADS category 5 (csPC 39% and 61%, respectively). Patients with csPC had statistically significant smaller prostate volumes, a higher PI-RADS category, a higher prostate-specific antigen density (PSAD), and were older. ConclusionsFor a relevant proportion of patients with PI-RADS category 4 or 5 and negative or inconclusive findings on previous FB, but with persistent suspicion of csPC, a subsequent IB verified the presence of csPC. Therefore, IB can be a backup in cases of uncertainty.

The learning curve for robotic-assisted transperineal MRI/US fusion-guided prostate biopsy

Transperineal fusion prostate biopsy has a considerable learning curve (LC). Robotic-assisted transperineal MRI/Ultrasound fusion-guided biopsy (RA-TP-FBx) may have an easier LC due to automatization. We aimed to assess the LC of RA-TP-FBx and analyze its most difficult steps. We prospectively analyzed cases randomized to a biopsy-naïve urology resident, the chief resident, and an expert urologist in RA-TP-FBx (controls). We also analyzed consecutive cases in the LC of the expert. The LC was defined by procedure time, PCa detection rate (including stratification by PI-RADS), entrustable professional activities (EPA) assessment scores, and the NASA task load index. We collectively performed 246 RA-TP-FBx with the Mona Lisa device. Procedure time for residents decreased steeply from maximum 53 min to minimum 10 min, while the mean procedure time for the expert was 9 min (range 17–5 min). PCa detection for PI-RADS-4 lesions was 57% for the naïve resident, 61% for the chief resident and 62% for the expert. There was also no difference in Pca detection for PI-RADS-4 lesions when comparing the first and second half of the experts’ biopsies (p = 0.8). Maximum EPA score was registered after 22 cases. Workload steeply declined. Proficient RA-TP-FBx performance appears feasible after 22 cases regardless of previous experience.

Effectiveness of Magnetic Resonance Imaging/Ultrasound-guided Target Biopsy in Detecting Clinically Significant Prostate Cancer.

To evaluate the effectiveness of magnetic resonance imaging/ultrasound (MRI-US)-guided fusion biopsy in the detection of clinically significant prostate cancer (CSPC) and analyze the clinical features of patients highly suspected of having prostate cancer (PCa) but shown to be negative in target biopsies (TB) among patients with prostate imaging reporting and data system (PI-RADS) 4 or 5 lesions on multiparametric MRI (mpMRI) evaluations. We retrospectively evaluated all patients who underwent MRI/transrectal ultrasound (TRUS)-guided fusion biopsies at our institution between April 2018 and April 2022. All patients with at least one PI-RADS 3 or higher lesion and prostate-specific antigen (PSA) ≤20 ng/ml were enrolled in our study and subjected to TB in the region of interest (ROI). CSPC was defined as grade group (GG) ≥2 (equivalent to a Gleason score of 3+4). The detection rates of CSPC were higher in patients who underwent systematic biopsy (SB) and TB (54%; 177/328) than in those who underwent SB alone (39%; 128/328). Significant differences were noted in the detection of CSPC depending on age, prostate volume, PI-RADS score, PSA density (PSAD), number of biopsies obtained, lesion location, and ROI. MRI/TRUS-guided fusion prostate biopsy increased the detection rate of CSPC. PCa was less likely to be detected in patients with a low PSAD, large prostate volume and no family history among those with PI-RADS 4 or 5 lesions and should be considered in such patients and addressed by performing additional SB for improving CSPC detection rate.

Magnetic Resonance Imaging-guided Active Surveillance Without Annual Rebiopsy in Patients with Grade Group 1 or 2 Prostate Cancer: The Prospective PROMM-AS Study

BackgroundMultiparametric magnetic resonance imaging (mpMRI) may allow patients with prostate cancer (PC) on active surveillance (AS) to avoid repeat prostate biopsies during monitoring. ObjectiveTo assess the ability of mpMRI to reduce guideline-mandated biopsy and to predict grade group upgrading in patients with International Society of Urological Pathology grade group (GG) 1 or GG 2 PC using Prostate Cancer Radiological Estimation of Change in Sequential Evaluation (PRECISE) scores. The hypothesis was that the AS disqualification rate (ASDQ) rate could be reduced to 15%. Design, setting and participantsPROMM-AS was a prospective study assessing 2-yr outcomes for an mpMRI-guided AS protocol. A 12 mo after AS inclusion on the basis of MRI/transrectal ultrasound fusion-guided biopsy (FBx), all patients underwent mpMRI. For patients with stable mpMRI (PRECISE 1–3), repeat biopsy was deferred and follow-up mpMRI was scheduled for 12 mo later. Patients with mpMRI progression (PRECISE 4–5) underwent FBx. At the end of the study, follow-up FBx was indicated for all patients. Outcome measurements and statistical analysisWe calculated the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for upgrading to GG 2 in the GG 1 group, and to GG 3 in the GG 2 group on MRI. We performed regression analyses that included clinical variables. Results and limitationsThe study included 101 patients with PC (60 GG 1 and 41 GG 2). Histopathological progression occurred in 31 patients, 18 in the GG 1 group and 13 in the GG 2 group. Thus, the aim of reducing the ASDQ rate to 15% was not achieved. The sensitivity, specificity, PPV, and NPV for PRECISE scoring of MRI were 94%, 64%, 81%, and 88% in the GG 1 group, and 92%, 50%, 92%, and 50%, respectively, in the GG 2 group. On regression analysis, initial prostate-specific antigen (p < 0.001) and higher PRECISE score (4–5; p = 0.005) were significant predictors of histological progression of GG 1 PC. Higher PRECISE score (p = 0.009), initial Prostate Imaging-Reporting and Data System score (p = 0.009), previous negative biopsy (p = 0.02), and percentage Gleason pattern 4 (p = 0.04) were significant predictors of histological progression of GG 2 PC. Limitations include extensive MRI reading experience, the small sample size, and limited follow-up. ConclusionsMRI-guided monitoring of patients on AS using PRECISE scores avoided unnecessary follow-up biopsies in 88% of patients with GG 1 PC and predicted upgrading during 2-yr follow-up in both GG 1 and GG 2 PC. Patient summaryWe investigated whether MRI (magnetic resonance imaging) scores can be used to guide whether patients with lower-risk prostate cancer who are on active surveillance (AS) need to undergo repeat biopsies. Follow-up biopsy was deferred for 1 year for patients with a stable score and performed for patients whose score progressed. After 24 months on AS, all men underwent MRI and biopsy. Among patients with grade group 1 cancer and a stable MRI score, 88% avoided biopsy. For patients with MRI score progression, AS termination was correctly recommended in 81% of grade group 1 and 92% of grade group 2 cases.

Comparative diagnostic accuracy of multiparametric magnetic resonance imaging-ultrasound fusion-guided biopsy versus systematic biopsy for clinically significant prostate cancer.

To examine the accuracy of transperineal magnetic resonance imaging (MRI)-ultrasound (US) fusion biopsy (FB) in identifying men with prostate cancer (PCa) that has reached a clinically relevant stage. This investigation enrolled 459 males. In 210 of these patients (FB group), transperineal MRI/US fusion-guided biopsies were performed on the suspicious region, and in 249 others, a systematic biopsy (SB) was performed (SB group). We compared these groups using Gleason scores and rates of cancer detection. PCa cases counted 198/459 (43.1%), including 94/249 (37.8%) in the SB group and 104/210 (49.5%) in the FB group. FB was associated with higher overall diagnostic accuracy relative to SB (88.5% and 72.3%, P = 0.024). FB exhibited greater sensitivity than SB (88.9% and 71.2%, P = 0.025). The area under the curve for FB and SB approaches was 0.837 and 0.737, respectively, such that FB was associated with an 11.9% increase in accuracy as determined based upon these AUC values. Relative to SB, FB was better able to detect high-grade tumors (GS ≥ 7) (78.85% vs. 60.64%, P = 0.025). Transperineal MRI-US fusion targeted biopsy is superior to the systematic one as an approach to diagnosing clinically significant PCa, as it is a viable technical approach to prostate biopsy.

Comparison of procedural anxiety and pain associated with conventional transrectal ultrasound prostate biopsy to magnetic resonance imaging-ultrasound fusion-guided biopsy: a prospective cohort trial.

Prostate cancer (PCa) diagnosis relies on biopsies, with transrectal ultrasound (TRUS) biopsies being common. Fusion biopsy (FB) offers improved diagnostic accuracy, but the pain and anxiety experienced by patients during biopsies is often overlooked. This study aims to compare pain and anxiety levels between standard TRUS-guided biopsy (STB) and systematic plus MRI/US fusion biopsy (STB + FB). The study involved adult men undergoing biopsies, receiving identical peri-procedural care, including 2% lidocaine jelly in the rectum and subsequent 1% lidocaine injections (10cc per side) into the prostate-seminal vesicle junction and prostatic apical areas bilaterally. The biopsy technique was chosen based on clinical and imaging findings. Pre- and post-biopsy anxiety levels were assessed using the State-Trait Anxiety Inventory (STAI) questionnaire, categorized as mild (20-37), moderate (38-44), or severe (45-80). Post-biopsy pain was evaluated on a numerical rating scale, ranging from 0 to 10. Of the 165 patients, 99 underwent STB, and 66 underwent STB + FB. No significant differences were observed in age, race, prostate-specific antigen, prostate volume, or prior biopsies between the groups. The STB + FB group had more biopsy cores taken (16.2 vs. 12, p = 0.001) and a longer procedure time (23 vs. 10 min, p = 0.001). STB biopsy patients experienced lower post-procedural anxiety compared to STB + FB, with a mean difference of -7 (p = 0.001, d = 0.92). In the STB + FB group, 89% experienced severe post-procedural anxiety compared to 59% in STB (p = 0.002). There was no significant difference in post-procedural pain (p = 0.7). Patients with prior biopsies had significantly higher STAI(S) anxiety scores (p = 0.005), and the number of prior biopsies correlated with anxiety severity (p = 0.04) in STB + FB group. In summary, STB + FB group demonstrated higher post-procedural anxiety levels than the STB group, with no difference in pain levels. Additionally, patients with a history of repeat biopsies were more likely to exhibit higher STAI(S) anxiety scores.

68Ga-PSMA PET/CT-based multivariate model for highly accurate and noninvasive diagnosis of clinically significant prostate cancer in the PSA gray zone

BackgroundThe prostate-specific antigen (PSA) has been widely used in screening and early diagnosis of prostate cancer (PCa). However, in the PSA grey zone of 4–10 ng/ml, the sensitivity and specificity for diagnosing PCa are limited, resulting in considerable number of unnecessary and invasive prostate biopsies, which may lead to potential overdiagnosis and overtreatment. We aimed to predict clinically significant PCa (CSPCa) by combining the maximal standardized uptake value (SUVmax) based on 68Ga‑PSMA PET/CT and clinical indicators in men with gray zone PSA levels.Methods81 patients with suspected PCa based on increased serum total PSA (TPSA) levels of 4 − 10 ng/mL who underwent transrectal ultrasound/magnetic resonance imaging (MRI)/PET fusion-guided biopsy were enrolled. Among them, patients confirmed by histopathology were divided into the CSPCa group and the non-CSPCa group, and data on PSA concentration, prostate volume (PV), PSA density (PSAD), free PSA (FPSA)/TPSA, Prostate Imaging-Reporting and Data System version 2.1 (PI-RADS v2.1) score, 68Ga-PSMA PET/CT imaging evaluation results and SUVmax were compared. Multivariate logistic regression analysis was performed to identify the independent predictors for CSPCa, thereby establishing a predictive model based on SUVmax that was evaluated by analyzing the receiver operating characteristic (ROC) curve and decision curve analysis.ResultsCompared to non-CSPCa, CSPCa patients had smaller PVs (median, 31.40 mL), lower FPSA/TPSA (median, 0.12), larger PSADs (median, 0.21 ng/mL2) and higher PI-RADS scores (P < 0.05). The prediction model comprising 68Ga-PSMA PET/CT maximal standardized uptake value, PV and FPSA/TPSA had the highest AUC of 0.927 compared with that of other predictors alone (AUCs of 0.585 for PSA, 0.652 for mpMRI and 0.850 for 68Ga-PSMA PET/CT). The diagnostic sensitivity and specificity of the prediction model were 86.21% and 86.54%, respectively.ConclusionGiven the low diagnostic accuracy of regular PSA tests, a new prediction model based on the 68Ga-PSMA PET/CT SUVmax, PV and FPSA/TPSA was developed and validated, and this model could provide a more satisfactory predictive accuracy for CSPCa. This study provides a noninvasive prediction model with high accuracy for the diagnosis of CSPCa in the PSA gray zone, thus may be better avoiding unnecessary biopsy procedures.

Is prostatic adenocarcinoma with cribriform architecture more difficult to detect on prostate MRI?

Cribriform (CBFM) pattern on prostate biopsy has been implicated as a predictor for high-risk features, potentially leading to adverse outcomes after definitive treatment. This study aims to investigate whether the CBFM pattern containing prostate cancers (PCa) were associated with false negativemagnetic resonance imaging (MRI) and determine the association between MRI and histopathological disease burden. Patients who underwent multiparametric magnetic resonance imaging (mpMRI), combined 12-core transrectal ultrasound (TRUS) guided systematic (SB) and MRI/US fusion-guided biopsy were retrospectively queried for the presence of CBFM pattern at biopsy. Biopsy cores and lesions were categorized as follows: C0 = benign, C1 = PCa with no CBFM pattern, C2 = PCa with CBFM pattern. Correlation between cancer core length (CCL) and measured MRI lesion dimension were assessed using a modified Pearson correlation test for clustered data. Differences between the biopsy core groups were assessed with the Wilcoxon-signed rank test with clustering. Between 2015 and 2022, a total of 131 consecutive patients with CBFM pattern on prostate biopsy and pre-biopsy mpMRI were included. Clinical feature analysis included 1572 systematic biopsy cores (1149 C0, 272 C1, 151 C2) and 736 MRI-targeted biopsy cores (253 C0, 272 C1, 211 C2). Of the 131 patients with confirmed CBFM pathology, targeted biopsy (TBx) alone identified CBFM in 76.3% (100/131) of patients and detected PCa in 97.7% (128/131) patients. SBx biopsy alone detected CBFM in 61.1% (80/131) of patients and PCa in 90.8% (119/131) patients. TBx and SBx had equivalent detection in patients with smaller prostates (p = 0.045). For both PCa lesion groups there was a positive and significant correlation between maximum MRI lesion dimension and CCL (C1 lesions: p < 0.01, C2 lesions: p < 0.001). There was a significant difference in CCL between C1 and C2 lesions for T2 scores of 3 and 5 (p ≤ 0.01, p ≤ 0.01, respectively) and PI-RADS 5 lesions (p ≤ 0.01), with C2 lesions having larger CCL, despite no significant difference in MRI lesion dimension. The extent of disease for CBFM-containing tumors is difficult to capture on mpMRI. When comparing MRI lesions of similar dimensions and PIRADS scores, CBFM-containing tumors appear to have larger cancer yield on biopsy. Proper staging and planning of therapeutic interventions is reliant on accurate mpMRI estimation. Special considerations should be taken for patients with CBFM pattern on prostate biopsy.

Transperineal laser ablation (TPLA) with ultrasound/MRI fusion guidance in the treatment of localized radiotherapy-resistant prostate cancer

Objective The objective of this study was to assess the technical feasibility, safety, and efficacy of transperineal laser ablation (TPLA) guided by ultrasound/magnetic resonance (MR) fusion as a salvage treatment for refractory focal prostate cancer. Methods A total of five patients who had undergone radiation therapy (RT) for prostate carcinoma and biochemical recurrence, confirmed by both prostate-specific antigen (PSA) levels and MRI (3T mpMRI), were enrolled in this study. Focal ablation was performed using a 1064 nm diode laser. Post-ablation follow-up was conducted for a duration of 18 months, which included regular PSA sampling, 3T mpMRI, and ultrasound/MR fusion-guided biopsies systematic and targeted at the site of the focal treatment. Results The focal ablation procedure was carried out in an outpatient setting regimen with optimal clinical and biochemical outcomes. No recurrence was detected throughout the follow-up period. Conclusion TPLA focal treatment effectively manages local recurrences of RT refractory prostate cancer without side-effects or complications. Preservation of quality of life and functional outcomes, along with a &gt;70% reduction in PSA, were achieved. Advances in knowledge Our study investigated TPLA as a salvage treatment for low-risk recurrent prostate cancer after RT, demonstrating its tolerability, feasibility, and effectiveness.

Transperineal US-MRI Fusion-Guided Biopsy for the Detection of Clinical Significant Prostate Cancer: A Systematic Review and Meta-Analysis Comparing Cognitive and Software-Assisted Technique

Introduction: We aimed to find potential differences in clinically significant prostate cancer (csPCa) detection rates between transperineal software-assisted fusion biopsy (saFB) and cognitive fusion biopsies (cFB). Methods: A systematic review of the literature was performed to identify comparative studies using PubMed, EMBASE, and Scopus according to the PICOS criteria. Cancer detection and complication rates were pooled using the Cochran–Mantel–Haenszel method with the random effect model and reported as odds ratios (ORs), 95% confidence intervals (CI), and p-values. A meta-analysis was performed using Review Manager (RevMan) 5.4 software by Cochrane Collaboration. The quality assessment of the included studies was performed using the Cochrane Risk of Bias tool, using RoB 2 for randomized studies and ROBINS-I for retrospective and nonrandomized ones. Results: Eight studies were included for the meta-analysis, including 1149 cases in software-based and 963 cases in cognitive fusion biopsy. The detection rates of csPCa were similar between the two groups (OR 1.01, 95% CI 0.74–1.37, p = 0.95). Study heterogeneity was low (I2 55%). Conclusion: There is no actual evidence of the superiority of saFB over cFB in terms of the csPCa detection rate. Operator experience and software availability can drive the choice of one fusion technique over the other.

Value of synthetic MRI quantitative parameters in preprocedural evaluation for TRUS/MRI fusion-guided biopsy of the prostate.

Transrectal ultrasonography (TRUS)/magnetic resonance imaging (MRI) fusion-guided biopsy has a high clinical application value. However, this technique has some limitations, which limit its use in routine clinical practice. Therefore, the selection of suitable proatate lesions for this technique is worthy of our attention. Synthetic MRI (SyMRI) is capable of quantifying multiple relaxation parameters, which might have potential value in preprocedural evaluation for TRUS/MRI fusion-guided biopsy of the prostate. The aim of our study is to examine the value of SyMRI quantitative parameters in preprocedural evaluation for TRUS/MRI fusion-guided biopsy of the prostate. We prospectively selected 148 lesions in 137 patients who underwent prostate biopsy in our hospital. Next, 2-4 needles of TRUS/MRI fusion-guided biopsy combined with 10 needles of system biopsy(SB) were used as the protocol for prostate biopsy. Before biopsy, the MAGiC sequences of the MRI images of the enrolled patients underwent post-processing, and the longitudinal relaxation time (T1), transverse relaxation time (T2), and proton density (PD) were extracted. The biopsy pathology results were used as a gold standard to compare the differences in SyMRI quantitative parameters between benign and malignant prostate lesions in the peripheral and transitional zones. The receiver operating characteristic (ROC) curves were plotted to confirm the optimal SyMRI quantitative parameter for prostate lesion benignancy/malignancy performance, and the cutoff values of these parameters were used for grouping the lesions. The single-needle biopsy prostate cancer (PCa)-positivity rates (number of positive biopsy needles/total biopsy needles) and PCa overall detection rates by TRUS/MRI fusion-guided biopsy and SB were compared in different subgroups. The T1 and T2 values can determine the benignancy/malignancy of prostate transition lesions(p < 0.01), and the T2 value has a greater diagnostic performance (p = 0.0376). The T2 value can determine the benignancy/malignancy of prostate peripheral lesions. The optimal diagnostic cutoff values for T2 were 77 and 81 ms, respectively. The single-needle PCa positivity rate of TRUS/MRI fusion-guided biopsy was higher than SB for any prostate lesions in different subgroups (p < 0.01). However, only in the subgroup of transition zone lesions with T2 ≤ 77 ms, the PCa overall detection rate of TRUS/MRI fusion-guided biopsy was significantly higher than that of SB (p = 0.031). SyMRI-T2 value can provide a theoretical basis for the selection of suitable lesions for TRUS/MRI fusion-guided biopsy.

MP38-20 MRI-GUIDED ACTIVE SURVEILLANCE WITHOUT ANNUAL RE-BIOPSY IN PATIENTS WITH ISUP 1 AND 2 PROSTATE CANCER: THE PROSPECTIVE PROMM-AS STUDY

You have accessJournal of UrologyCME1 Apr 2023MP38-20 MRI-GUIDED ACTIVE SURVEILLANCE WITHOUT ANNUAL RE-BIOPSY IN PATIENTS WITH ISUP 1 AND 2 PROSTATE CANCER: THE PROSPECTIVE PROMM-AS STUDY Jan Philipp Radtke, Birte Valentin, Christian Arsov, Tim Ullrich, Rouvier Al-Monajjed, Matthias Boschheidgen, Markus Giessing, Cristina Lopez-Cotarelo, Gerald Antoch, and Lars Schimmöller Jan Philipp RadtkeJan Philipp Radtke More articles by this author , Birte ValentinBirte Valentin More articles by this author , Christian ArsovChristian Arsov More articles by this author , Tim UllrichTim Ullrich More articles by this author , Rouvier Al-MonajjedRouvier Al-Monajjed More articles by this author , Matthias BoschheidgenMatthias Boschheidgen More articles by this author , Markus GiessingMarkus Giessing More articles by this author , Cristina Lopez-CotareloCristina Lopez-Cotarelo More articles by this author , Gerald AntochGerald Antoch More articles by this author , and Lars SchimmöllerLars Schimmöller More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003276.20AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: There is evidence that multiparametric magnetic resonance imaging (mpMRI) may avoid repeat prostate biopsies in monitoring of patients during active surveillance (AS) for prostate cancer (PC).To assess the ability of mpMRI to risk stratify men on AS, including ISUP grade group (GG) 1 and 2 PC to reduce guideline-mandated biopsy, and to predict ISUP GG upgrading. METHODS: Prospective 2-year single-center outcome of an mpMRI-guided AS protocol (PROMM-AS). 12 months after AS inclusion with MRI/TRUS fusion-guided biopsy, all men underwent mpMRI. In case of stable mpMRI according to PRECISE criteria, re-biopsy was deferred and follow-up mpMRI after 24 months performed. In case of mpMRI progression or at the end of study, follow-up MRI/TRUS fusion-guided biopsy was indicated. Primary endpoint was a reduction of histopathological AS disqualification from previous published 25% to 15%. A sample size of in total 150 men was calculated to achieve 80% power to detect this rate difference. We calculated sensitivity, specificity, positive (PPV) and negative predictive values (NPV) for ISUP GG upgrading on MRI and performed regression analyses. RESULTS: In total, 101 men (60 with GG1 and 41 with GG2 PC) were available for analysis. Histopathological progression occurred in total in 29 men. Thus, the primary endpoint could not be reached and we performed an interim-analysis. In the GG1 subgroup 18 men had progression (30%), whereas 11 men progressed in GG2 subgroup (27%). Sensitivity, specificity, PPV and NPV for PRECISE was 94%, 64%, 81% and 88% in the GG1 subgroup and 91%, 50%, 91% and 50% in GG2 subgroup. On regression analysis, higher PRECISE scores (4-5), initial PI-RADS, PSA, age and prostate volume were significant predictors of histological progression in ISUP GG1 and higher PRECISE score, initial PI-RADS and previous negative biopsy in ISUP GG2 PC. CONCLUSIONS: MRI-guided monitoring of men on AS including PRECISE criteria avoids unnecessary follow-up biopsies in 88% of men with ISUP GG1 and sufficiently predicts GG upgrading over a follow-up period of two years in both ISUP GG1 and GG2. Source of Funding: None © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e532 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Jan Philipp Radtke More articles by this author Birte Valentin More articles by this author Christian Arsov More articles by this author Tim Ullrich More articles by this author Rouvier Al-Monajjed More articles by this author Matthias Boschheidgen More articles by this author Markus Giessing More articles by this author Cristina Lopez-Cotarelo More articles by this author Gerald Antoch More articles by this author Lars Schimmöller More articles by this author Expand All Advertisement PDF downloadLoading ...

MP09-02 MULTIPARAMETRIC MRI-BASED RADIOMICS FEATURES OF PROSTATIC ADENOCARCINOMA WITH CRIBRIFORM ARCHITECTURE

You have accessJournal of UrologyCME1 Apr 2023MP09-02 MULTIPARAMETRIC MRI-BASED RADIOMICS FEATURES OF PROSTATIC ADENOCARCINOMA WITH CRIBRIFORM ARCHITECTURE Zoe Blake, Mason Belue, Daniel Nemirovsky, Stephanie Harmon, Jacob Enders, Alexander Kenigsberg, Neil Mendhiratta, Enis Yilmaz, Yue Lin, Michael Rothberg, Antoun Toubaji, Maria Merino, Sandeep Gurram, Bradford Wood, Peter Choyke, Baris Turkbey, and Peter Pinto Zoe BlakeZoe Blake More articles by this author , Mason BelueMason Belue More articles by this author , Daniel NemirovskyDaniel Nemirovsky More articles by this author , Stephanie HarmonStephanie Harmon More articles by this author , Jacob EndersJacob Enders More articles by this author , Alexander KenigsbergAlexander Kenigsberg More articles by this author , Neil MendhirattaNeil Mendhiratta More articles by this author , Enis YilmazEnis Yilmaz More articles by this author , Yue LinYue Lin More articles by this author , Michael RothbergMichael Rothberg More articles by this author , Antoun ToubajiAntoun Toubaji More articles by this author , Maria MerinoMaria Merino More articles by this author , Sandeep GurramSandeep Gurram More articles by this author , Bradford WoodBradford Wood More articles by this author , Peter ChoykePeter Choyke More articles by this author , Baris TurkbeyBaris Turkbey More articles by this author , and Peter PintoPeter Pinto More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003224.02AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Cribriform (CBFM) pattern on prostate biopsy has been implicated as a predictor for high-risk features, potentially leading to adverse outcomes after definitive treatment. Literature on imaging characteristics of CBFM is sparse and mixed. This study aims to elucidate the multiparametric MRI (mpMRI) features of CBFM-containing cancers on prostate biopsy using radiomics. METHODS: Patients who underwent mpMRI, combined 12-core transrectal ultrasound (TRUS) guided systematic and MRI/US fusion-guided biopsy on a prostate cancer (PCa) clinical trial were retrospectively queried for the presence of CBFM pattern at biopsy. Biopsy cores were scored: C0=benign, C1=PCa with no CBFM pattern, C2=PCa with CBFM pattern. In addition to targeted lesion regions of interest (ROIs), patient-specific 12-core systematic TRUS biopsy sector maps were reconstructed and transposed on mpMRI slices for virtual core ROI creation (Figure 1). Radiomics features from each ROI were extracted using PyRadiomics package in Python. Radiomics and clinical feature analyses were done with Wilcoxon signed-rank test and Akaike Information Criterion. RESULTS: Between 2020-2022, 90 consecutive patients with CBFM pattern on prostate biopsy and paired mpMRI were identified. Radiomics/clinical feature analysis included 1080 transrectal systematic biopsy cores (677 C0, 191 C1, 212 C2) and 272 MRI-targeted biopsy cores (72 C0, 66 C1, 134 C2). On combined biopsy analysis, two DWI radiomics features capturing signal heterogeneity were predictive for CBFM classification (p<.01). On analysis of MRI-targeted biopsy only, overall PIRADS score (p=.037), DWI PIRADS score (p=.017), and target lesion dimension (p=.017) were predictive for CBFM classification (Table 1). CONCLUSIONS: CBFM pattern has visible radiomics features on mpMRI, most notably on DWI. Imaging findings suggestive of CBFM may play a role in risk stratification and patient counseling. Further studies are needed to evaluate these lesions and validate their imageability longitudinally and externally. Source of Funding: None © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e103 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Zoe Blake More articles by this author Mason Belue More articles by this author Daniel Nemirovsky More articles by this author Stephanie Harmon More articles by this author Jacob Enders More articles by this author Alexander Kenigsberg More articles by this author Neil Mendhiratta More articles by this author Enis Yilmaz More articles by this author Yue Lin More articles by this author Michael Rothberg More articles by this author Antoun Toubaji More articles by this author Maria Merino More articles by this author Sandeep Gurram More articles by this author Bradford Wood More articles by this author Peter Choyke More articles by this author Baris Turkbey More articles by this author Peter Pinto More articles by this author Expand All Advertisement PDF downloadLoading ...