Biopsy Cores Research Articles

Risk factors for Gleason score upgrade from prostate biopsy to radical prostatectomy.

Accurate identification of prostate cancer Gleason grade group remains an important component of the initial management of clinically localized disease. However, Gleason score upgrading (GSU) from biopsy to radical prostatectomy can occur in up to a third of patients treated with surgery. Concern for disease undergrading remains a source of diagnostic uncertainty, contributing to both over-treatment of low-risk disease as well as under-treatment of higher-risk prostate cancer. This review examines the published literature concerning risk factors for GSU from time of biopsy to prostatectomy final pathology. Risk factors identified for Gleason upgrading include patient demographic and clinical factors including age, body mass index, race, prostate volume, and biomarker based assays, including prostate-specific antigen (PSA) density, and testosterone values. In addition, prostate magnetic resonance imaging (MRI) findings have also been associated with GSU. Biopsy-specific characteristics associated with GSU include lower number of biopsy cores and lack of targeted methodology, and possibly increasing percent biopsy core positivity. Recognition of risk factors for disease undergrading may prompt confirmatory testing including repeat sampling or imaging. Continued refinements in imaging guided biopsy techniques may also reduce sampling error contributing to undergrading.

Functional precision medicine assay for recurrent meningioma: a proof of principle. Illustrative case.

Meningiomas are the most prevalent primary central nervous system tumors. Although low-grade meningiomas are considered benign tumors, a subset of these can behave aggressively, showing progression and recurrence. In such cases, functional assays could influence treatment decisions and improve patient outcomes. A 78-year-old female presented with a long-standing history of a supratentorial meningioma that was initially resected and treated with Gamma Knife radiosurgery. Surveillance revealed progression. She began systemic therapy with everolimus and octreotide but was lost to follow-up and did not continue the treatment. She returned because of a rapid decline in her neurological status. Biopsy with advanced molecular characterization by next-generation sequencing revealed NF2 and CREBBP mutations, and a commercial functional assay was done. This assay successfully isolated cancer stem cells (CSCs) from biopsy cores and identified potential drugs based on cellular sensitivity profiles. This is the first reported case in which a commercial functional drug screen was used for a meningioma. In cases in which meningiomas exhibit specific genetic alterations and characteristics of aggressiveness, functional assays can be a useful tool for isolating CSCs. The authors report success in obtaining drug-screen profiling for a World Health Organization grade 1 meningioma. Multimodal approaches utilizing multi-omics analyses with functional assays can improve patient outcomes. https://thejns.org/doi/10.3171/CASE24242.

The Sensitivity and Specificity of Multiparametric Magnetic Resonance Imaging and Prostate-Specific Membrane Antigen Positron Emission Tomography/Computed Tomography for Predicting Seminal Vesicle Invasion in Clinically Significant Prostate Cancer: A Multicenter Retrospective Study.

Background/Objectives: The presence of seminal vesicle invasion (SVI) in prostate cancer (PCa) is associated with poorer postoperative outcomes. This study evaluates the predictive value of magnetic resonance imaging (MRI) and prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA PET/CT) for SVI in PCa. Methods: This cohort study included consecutive robotic prostatectomy patients for PCa at three Australian tertiary referral centres between April 2016 and September 2022. MRI and PSMA PET/CT results, clinicopathological variables, including age, BMI, prostate-specific antigen (PSA), PSA density, DRE, Biopsy Gleason score, Positive biopsy cores, PIRADS v2.1 score, MRI volume and MRI lesion size were extracted. The sensitivity, specificity, and accuracy of MRI and PSMA PET/CT for predicting SVI were compared with the histopathological results by receiver operating characteristic (ROC) analysis. Subgroup univariate and multivariate analysis was performed. Results: Of the 528 patients identified, 86 had SVI on final pathology. MRI had a low sensitivity of 0.162 (95% CI: 0.088-0.261) and a high specificity of 0.963 (95% CI: 0.940-0.979). The PSMA PET/CT had a low sensitivity of 0.439 (95% CI: 0.294-0591) and a high specificity of 0.933 (95% CI: 0.849-0.969). When MRI and PSMA PET/CT were used in combination, the sensitivity and specificity improved to 0.514 (95%CI: 0.356-0.670) and 0.880 (95% CI: 0.813-0.931). The multivariate regression showed a higher biopsy Gleason score (p = 0.033), higher PSA (p < 0.001), older age (p = 0.001), and right base lesions (p = 0.003) to be predictors of SVI. Conclusions: MRI and PSMA PET/CT independently underpredicted SVI. The sensitivity and AUC improved when they were used in combination. Multiple clinicopathological factors were associated with SVI on multivariate regression and predictive models incorporating this information may improve oncological outcomes.

The first-in-human preclinical evaluation of the new probe [123I]I-PSMA-7 for real-time intraoperative targeted biopsy and SPECT/CT imaging in prostate cancer

PurposePSMA/PET has been increasingly used to detect PCa, and PSMA/PET-guided biopsy has shown promising results. However, it cannot be confirmed immediately whether the tissues are the targeted area. In this study, we aimed to develop a novel probe, [123I]I-PSMA-7. First, we hope that [123I]I-PSMA-7 can provide instant confirmation for prostate biopsy. Second, we hope it will help detect PCa.MethodsWe synthesized a high-affinity probe, [123I]I-PSMA-7, and evaluated its properties. We included ten patients with suspected PCa and divided them into two groups. The injection and biopsy were approximately 24 h apart. The activity in biopsy lesions was measured as the cpm by a γ-counter. Moreover, we enrolled 3 patients to evaluate the potential of [123I]I-PSMA-7 for detecting PCa.ResultsAnimal experiments verified the safety, targeting and effectiveness of [123I]I-PSMA-7, and the tumor-to-muscle ratio was greatest at 24 h, which confirmed the results of this study in humans. After injection of 185MBq [123I]I-PSMA-7, 18/55 cores were positive, and the cpm was significantly greater (4345 ± 3547 vs. 714 ± 547, P < 0.001), with an AUC of 0.97 and a cutoff of 1312 (sens/spec of 94.40%/91.90%). At a lower dose, 10/55 biopsy cores were cancerous, and the cpm was 2446 ± 1622 vs. 153 ± 112 (P < 0.001). The AUC was 1, with a cutoff value of 490 (sens/spec of 100%). When the radiopharmaceuticals were added to 370 MBq, we achieved better SPECT/CT imaging.ConclusionWith the aid of [123I]I-PSMA-7 and via cpm-based biopsy, we can reduce the number of biopsies to a minimum operation. [123I]I-PSMA-7 PSMA SPECT/CT can also provide good imaging results.Trial registrationChinese Clinical trial registry ChiCTR2300069745, Registered 24 March 2023

Enhancing Prostate Cancer Diagnosis: Artificial Intelligence–Driven Virtual Biopsy for Optimal Magnetic Resonance Imaging-Targeted Biopsy Approach and Gleason Grading Strategy

An optimal approach to magnetic resonance imaging fusion targeted prostate biopsy (PBx) remains unclear (number of cores, intercore distance, Gleason grading [GG] principle). The aim of this study was to develop a precise pixel-wise segmentation diagnostic artificial intelligence (AI) algorithm for tumor detection and GG as well as an algorithm for virtual prostate biopsy that are used together to systematically investigate and find an optimal approach to targeted PBx. Pixel-wise AI algorithms for tumor detection and GG were developed using a high-quality, manually annotated data set (slides n = 442) after fast-track annotation transfer into segmentation style. To this end, a virtual biopsy algorithm was developed that can perform random biopsies from tumor regions in whole-mount whole-slide images with predefined parameters. A cohort of 115 radical prostatectomy (RP) patient cases with clinically significant, magnetic resonance imaging-visible tumors (n = 121) was used for systematic studies of the optimal biopsy approach. Three expert genitourinary (GU) pathologists (Y.T., A.P., A.Q.) participated in the validation. The tumor detection algorithm (aware version sensitivity/specificity 0.99/0.90, balanced version 0.97/0.97) and GG algorithm (quadratic kappa range vs pathologists 0.77-0.78) perform on par with expert GU pathologists. In total, 65,340 virtual biopsies were performed to study different biopsy approaches with the following results: (1) 4 biopsy cores is the optimal number for a targeted PBx, (2) cumulative GG strategy is superior to using maximal Gleason score for single cores, (3) controlling for minimal intercore distance does not improve the predictive accuracy for the RP Gleason score, (4) using tertiary Gleason pattern principle (for AI tool) in cumulative GG strategy might allow better predictions of final RP Gleason score. The AI algorithm (based on cumulative GG strategy) predicted the RP Gleason score of the tumor better than 2 of the 3 expert GU pathologists. In this study, using an original approach of virtual prostate biopsy on the real cohort of patient cases, we find the optimal approach to the biopsy procedure and the subsequent GG of a targeted PBx. We publicly release 2 large data sets with associated expert pathologists’ GG and our virtual biopsy algorithm.

MRI-guided in-bore biopsy of the prostate – defining the optimal number of cores needed

BackgroundNumerous studies have shown that magnetic resonance imaging (MRI)-targeted biopsy approaches are superior to traditional systematic transrectal ultrasound guided biopsy (TRUS-Bx). The optimal number of biopsy cores to be obtained per lesion identified on multiparametric MRI (mpMRI) images, however, remains a matter of debate. The aim of this study was to evaluate the incremental value of additional biopsy cores in an MRI-targeted “in-bore”-biopsy (MRI-Bx) setting.Patients and methodsTwo hundred and forty-five patients, who underwent MRI-Bx between June 2014 and September 2021, were included in this retrospective single-center analysis. All lesions were biopsied with at least five biopsy cores and cumulative detection rates for any cancer (PCa) as well as detection rates of clinically significant cancers (csPCa) were calculated for each sequentially labeled biopsy core. The cumulative per-core detection rates are presented as whole numbers and as proportion of the maximum detection rate reached, when all biopsy cores were considered. CsPCa was defined as Gleason Score (GS) ≥ 7 (3 + 4).ResultsOne hundred and thirty-two of 245 Patients (53.9%) were diagnosed with prostate cancer and csPCa was found in 64 (26.1%) patients. The first biopsy core revealed csPCa/ PCa in 76.6% (49/64)/ 81.8% (108/132) of cases. The second, third and fourth core found csPCa/ PCa not detected by previous cores in 10.9% (7/64)/ 8.3% (11/132), 7.8% (5/64)/ 5.3% (7/132) and 3.1% (2/64)/ 3% (4/132) of cases, respectively. Obtaining one or more cores beyond the fourth biopsy core resulted in an increase in detection rate of 1.6% (1/64)/ 1.5% (2/132).ConclusionWe found that obtaining five cores per lesion maximized detection rates. If, however, future research should establish a clear link between the incidence of serious complications and the number of biopsy cores obtained, a three-core biopsy might suffice as our results suggest that about 95% of all csPCa are detected by the first three cores.

Investigation of the Effectiveness of Prostate Biopsy Density in Predicting Prostate Cancer Under Cognitive and Systematic Biopsy in Multi-Parametric Magnetic Resonance Imaging (mpMRI).

To explore the effectiveness of prostate biopsy density in predicting prostate cancer under cognitive and systematic biopsy mode in multi-parametric magnetic resonance imaging (mpMRI). A retrospective analysis was conducted on clinical data of 204 patients who were suspected of having prostate cancer with prostate-specific antigen (PSA) levels less than 50 ng mL-1 and underwent cognitive and systematic biopsy through the perineal approach in our hospital from 2022 to 2023. Univariate and multivariate logistic regression analyses were used to evaluate the odds ratios of prostate biopsy density and relevant clinical indicators. Logistic regression analysis was performed to establish a predictive model combining indicators with predictive value. The predictive value of each indicator and the new model was evaluated using receiver operating characteristic (ROC) curves and the area under the curve (AUC). The detection rate of prostate cancer in the study population was 32.35%. Multivariate analysis showed that age, PSAD, PI-RADS 2.1 score, and prostate biopsy density were independent predictors of prostate cancer. The ROC curve analysis revealed an AUC of 0.707 (95% CI 0.625-0.790) for biopsy density, with a cutoff value of approximately 0.22 needle mL-1. The best predictive model consisted of age, PSAD, PI-RADS 2.1 score, and biopsy density, with an AUC of 0.857. Biopsy density is associated with the detection of prostate cancer, with a critical value of 0.22 needle mL-1. Combining biopsy density with other clinical indicators can significantly improve the ability to predict prostate cancer and avoid unnecessary prostate biopsy cores.

Comparing Two Targeted Biopsy Schemes for Detecting Clinically Significant Prostate Cancer in Magnetic Resonance Index Lesions: Two- to Four-Core versus Saturated Transperineal Targeted Biopsy.

Since the optimal scheme for targeted biopsies of magnetic resonance imaging (MRI) suspicious lesions remains unclear, we compare the efficacy of two schemes for these index lesions. A prospective trial was conducted in 1161 men with Prostate Imaging Reporting and Data System v 2.1 3-5 undergoing targeted and 12-core systematic biopsy in four centers between 2021 and 2023. Two- to four-core MRI-transrectal ultrasound fusion-targeted biopsies via the transperineal route were conducted in 900 men in three centers, while a mapping per 0.5 mm core method (saturated scheme) was employed in 261 men biopsied in another center. A propensity-matched 261 paired cases were selected for avoiding confounders other than the targeted biopsy scheme. CsPCa (grade group ≥ 2) was identified in 125 index lesions (41.1%) when the two- to four-core scheme was employed, while in 187 (71.9%) when the saturated biopsy (p < 0.001) was used. Insignificant PCa (iPCa) was detected in 18 and 11.1%, respectively (p = 0.019). Rates of csPCa and iPCa remained similar in systematic biopsies. CsPCa detected only in systematic biopsies were 5 and 1.5%, respectively (p = 0.035) in each group. The saturated scheme for targeted biopsies detected more csPCa and less iPCa than did the two- to four-core scheme in the index lesions. The rate of csPCa detected only in the systematic biopsies decreased when the saturated scheme was employed.

Outcomes of active surveillance for Japanese patients with prostate cancer (PRIAS-JAPAN).

To report the outcomes of repeat biopsies, metastasis and survival in the Prostate Cancer Research International: Active Surveillance (PRIAS)-JAPAN study, a prospective observational study for Japanese patients, initiated in 2010. At the beginning,inclusion criteria were initially low-risk patients, prostate-specific antigen (PSA) density (PSAD) <0.2, and ≤2 positive biopsy cores. As from 2014, GS3+4 has also been allowed for patients aged 70 years and over. Since January 2021, the age limit for Gleason score (GS) 3 + 4 cases was removed, and eligibility criteria were expanded to PSA ≤20 ng/mL, PSAD <0.25 nd/mL/cc, unlimited number of positive GS 3 + 3 cores, and positive results for fewer than half of the total number of cores for GS 3 + 4 cases if magnetic resonance imaging fusion biopsy was performed at study enrolment or subsequent follow-up. For patients eligible for active surveillance, PSA tests were performed every 3 months, rectal examination every 6 months, and biopsies at 1, 4, 7 and 10 years, followed by every 5 years thereafter. Patients with confirmed pathological reclassification were recommended for secondary treatments. As of February 2024, 1302 patients were enrolled in AS; 1274 (98%) met the eligibility criteria. The median (interquartile range) age, PSA level, PSAD, and number of positive cores were 69 (64-73) years, 5.3 (4.5-6.6) ng/mL, 0.15 (0.12-0.17) ng/mL, and 1 (1-2), respectively. The clinical stage was T1c in 1089 patients (86%) and T2 in 185 (15%). The rates of acceptance by patients for the first, second, third and fourth re-biopsies were 83%, 64%, 41% and 22%, respectively. The pathological reclassification rates for the first, second, third and fourth re-biopsies were 29%, 30%, 35% and 25%, respectively. The 1-, 5- and 10-year persistence rates were 77%, 45% and 23%, respectively. Six patients developed metastasis, and one patient died from prostate cancer. Pathological reclassification was observed in approximately 30% of the patients during biopsy; however, biopsy acceptance rates decreased over time. Although metastasis occurred in six patients, only one death from prostate cancer was recorded.

Prostate cancer detection rate with MRI-targeted biopsy alone using outpatient transperineal prostate biopsy.

We aimed to compare the detection rate of prostate cancer (PCa) and clinically significant (cs) PCa by magnetic resonance imaging-guided targeted biopsy (MTBx) alone and MTBx plus systematic biopsy (SBx) using an outpatient transperineal (TP) approach under local anesthesia. A retrospective study of patients who underwent outpatient TP prostate biopsy under local anesthesia at our tertiary institution between 2019 and 2022 was performed. To compare the proportions of PCa and csPCa in both pathways, McNemar's tests were used. Multivariable logistic regression model was fitted to determine the predictors of csPCa. Of 255 men included, 177 (69%) underwent MTBx alone. MTBx had similar detection rate for PCa (56%) and csPCa (47%) compared to the combination of MTBx and SBx (PCa 61%; csPCa 49%; p=0.1 and p=0.3, respectively). MTBx had lower median number of biopsy cores compared to the combination of MTBx and SBx (6 vs. 11, p<0.001). At multivariable logistic regression analysis, age (odds ratio [OR] 1.08, 95% confidence interval [CI] 1.04-1.13, p<0.001), prior negative biopsy (OR 0.19, 95% CI 0.09-0.44, p<0.001), prostate-specific antigen density cutoff ≥0.15 (OR 3.17, 95% CI 1.67-6.01, p<0.001), and prostate imaging reporting and data system ≥4 (OR 12.2, 95% CI 4.21-35.6, p<0.001) were independent predictors of csPCa. MTBx showed similar diagnostic performance to the combination of MTBx and SBx in patients undergoing outpatient TP prostate biopsy. Future studies are needed to evaluate the role of MTBx in avoiding unnecessary biopsies.

Decade-long insights into transperineal prostate biopsy in a west China population: Temporal trend, targeted and repeat biopsies, and pathological characterization.

e17004 Background: Despite advances in prostate cancer (PCa) detection, the need for improving diagnostics and in-depth assessment of the latest prostate biopsy (PBx) techniques through extensive, longitudinal studies remains critical. Methods: Data from 10,378 PBx involving 10,038 patients were retrospectively examined. We detailed the yearly changes in PBx numbers and patient diagnoses, the real-world efficacy of PI-RADS scoring, MRI-targeted biopsy (MRI-TBx), and repeat PBx. We also outlined the detection rates and the clinical profiles of non-adenocarcinoma (non-AC) PCa. Results: A consistent annual increase in PBx was witnessed, with the positive rate climbing to approximately 55%. There was a gradual decline in median age, PSA levels, and M1 stage proportion among PCa patients, suggesting an earlier diagnosis trend. However, compared to Western populations, our center's patients had a significantly higher incidence of M1 stage (34% vs. 6%, P&lt;0.001) and, within the M0 category, presented with older age and elevated baseline PSA levels. Integrating MRI-TBx into the 12-core systematic biopsy (SBx) led to a numerical improvement in PCa detection and enhanced ISUP grading accuracy. Merging MRI-TBx with a 6-core SBx achieved a median clinically significant PCa (csPCa) detection rate of 39.76% in men with PSA&lt;20ng/mL, similar to that of MRI-TBx with a 12-core SBx (40.36%). Furthermore, we identified 1,455 men with non-AC PCa, occurring less in localized cases (about 15%) but more in metastatic cases (over 50%), and exhibiting more aggressive characteristics compared to adenocarcinoma-only cases. Besides, among the 305 individuals undergoing repeat PBx, 62 csPCa cases were identified, all of which exhibited lower positive cores, ISUP grading, and M1 stage incidence than men diagnosed by initial PBx. Conclusions: Analyzing a decade's worth of PBx data from one of the largest Asian cohorts offered pivotal insights into the evolving epidemiology and clinical profiles of PBx, which are essential for shaping future diagnostic approaches for PCa.

The effectiveness of mapping-targeted biopsies on the index lesion in transperineal prostate biopsies.

To evaluate the effectiveness of mapping-targeted biopsies (MTB) on the index lesion for the detection of clinically significant prostate cancer (csPCa) in transperineal fusion-image prostate biopsies. A retrospective analysis was conducted on 309 men with suspected PCa who underwent prostate biopsies at the Creu Blanca reference center in Barcelona, Spain. The Prostate Imaging-Reporting and Data System (PI-RADS v.2.1) of the magnetic resonance images (MRI) were reclassified by an expert radiologist reading of pre-biopsy biparametric MRI used for segmentation of suspected lesions. Transperineal MTB of suspicious lesions and 12-core systematic biopsies were performed using the Artemis™ platform. CsPCa was defined as International Society of Urological Pathology grade group ≥ 2. CsPCa was detected in 192 men (62.1%), with detection rates of 6.3% for PI-RADS 2, 26.8% for PI-RADS 3, 87.3% for PI-RADS 4, and 93.1% for PI-RADS 5. MTB of the index lesion identified 185 csPCa (96.3%). CsPCa was detected solely in systematic biopsies in three cases (1.6%), while an additional four cases (2.1%) were identified only in the second suspected lesion. A predictive model for csPCa detection in MTB of the index lesion was developed, with an AUC of 0.918 (95% CI 0.887-0.950). This model had the potential to avoid 23.3% of prostate biopsies without missing additional csPCa cases. MTB of the index lesion was highly effective for identifying csPCa in fusion transperineal prostate biopsies. A developed predictive model successfully reduced the need for almost one quarter of biopsies without missing csPCa cases.

Effect of polygenic risk score for clinically significant prostate cancer in a screening program: The BARCODE 1 study results.

10500 Background: Incidence of prostate cancer (PCa) is increasing, but there is no internationally agreed population screening program. Studies using an age-based PSA approach show a high rate of false-positive results as well as over-diagnosis of indolent PCa. Genome wide association studies identify common germline variants to calculate a polygenic risk score (PRS) associated with PCa risk. The BARCODE1 study used PRS to target PCa screening to those at higher risk based on genotype. Methods: European men aged 55-69yrs were recruited via Primary Care in the UK. PRS was constructed by summing weighted risk alleles for 130 PCa risk variants using germline DNA from saliva samples via mailed kits. Men with a PRS &gt; 90th centile were invited for PCa screening using MRI and 12-core transperineal biopsy (including MRI fusion to target additional lesions where identified) irrespective of PSA result. Results: Invitation letters were sent to 40,292 men. 8,953 (22%) expressed an interest; 8,014 were eligible and sent a saliva kit. 6,644 consented; 6,393 were genotyped; 251 failed QC. A total of 6,142 participants had PRS calculated: 745 (12.1%) had a PRS &gt; 90th centile and were invited to screening. 558/745 participants attended screening (121 declined, 66 excluded on health grounds). 551 underwent MRI and 468 had prostate biopsy resulting in 187 (40.0%) diagnoses of PCa, overall PCa detection rate 2.8%. Mean age at diagnosis 64.1yrs (range 57-73; median 64). Using NCCN criteria (2023) 103/187 (55.1%) of cancers were Intermediate or High Risk; 40/187 (21.4%) were Intermediate Unfavourable/High/Very High Risk. 119/187 (63.6%) men had a PSA &lt;3.0ug/L; PPV of biopsy for PSA &gt; 3.0ug/L was 49.6%. PPV of MRI (presence of PI-RADS 3-5 lesion) 60.4%. PPV of PRS alone 40%. 103/187 (55.1%) had Gleason &gt;7; compared with 360/1014 (35.5%) p &lt; 0.001 in the PSA directed ERSPC study. Conclusions: A population PCa screening program using PRS risk-stratification enriches for clinically significant PCa requiring treatment. It detects a high proportion of clinically significant disease compared with PSA or MRI based screening programs and MRI missed a significant proportion (17-67%) of cancers found on biopsy. This is the first study to assess if this approach will be useful in population screening programs. Clinical trial information: NCT03857477 . [Table: see text]

Smartphone-based machine learning model for real-time assessment of medical kidney biopsy

BackgroundKidney biopsy is the gold-standard for diagnosing medical renal diseases, but the accuracy of the diagnosis greatly depends on the quality of the biopsy specimen, particularly the amount of renal cortex obtained. Inadequate biopsies, characterized by insufficient cortex or predominant medulla, can lead to inconclusive or incorrect diagnoses, and repeat biopsy. Unfortunately, there has been a concerning increase in the rate of inadequate kidney biopsies, and not all medical centers have access to trained professionals who can assess biopsy adequacy in real time. In response to this challenge, we aimed to develop a machine learning model capable of assessing the percentage cortex of each biopsy pass using smartphone images of the kidney biopsy tissue at the time of biopsy. Methods747 kidney biopsy cores and corresponding smartphone macro images were collected from five unused deceased donor kidneys. Each core was imaged, formalin-fixed, sectioned, and stained with Periodic acid–Schiff (PAS) to determine cortex percentage. The fresh unfixed core images were captured using the macro camera on an iPhone 13 Pro. Two experienced renal pathologists independently reviewed the PAS-stained sections to determine the cortex percentage. For the purpose of this study, the biopsies with less than 30% cortex were labeled as inadequate, while those with 30% or more cortex were classified as adequate. The dataset was divided into training (n=643), validation (n=30), and test (n=74) sets. Preprocessing steps involved converting High-Efficiency Image Container iPhone format images to JPEG, normalization, and renal tissue segmentation using a U-Net deep learning model. Subsequently, a classification deep learning model was trained on the renal tissue region of interest and corresponding class label. ResultsThe deep learning model achieved an accuracy of 85% on the training data. On the independent test dataset, the model exhibited an accuracy of 81%. For inadequate samples in the test dataset, the model showed a sensitivity of 71%, suggesting its capability to identify cases with inadequate cortical representation. The area under the receiver-operating curve (AUC-ROC) on the test dataset was 0.80. ConclusionWe successfully developed and tested a machine learning model for classifying smartphone images of kidney biopsies as either adequate or inadequate, based on the amount of cortex determined by expert renal pathologists. The model's promising results suggest its potential as a smartphone application to assist real-time assessment of kidney biopsy tissue, particularly in settings with limited access to trained personnel. Further refinements and validations are warranted to optimize the model's performance.

Intraprostatic hormone dosage: Validation of a novel prostate biopsy technique

BackgroundAdvances in chromatography and mass spectrometry have allowed us to develop a novel technique for measuring intraprostatic hormone concentrations directly on prostate needle biopsies, rather than using traditional punch excision. This has significant clinical implications as intraprostatic dihydrotestosterone and testosterone levels could help monitor prostate growth, neoplasia and castration resistance. MethodsPatients undergoing radical cystoprostatectomy for bladder cancer were prospectively included. Each prostate specimen received one 90mg punch excision and six needle biopsies. Intraprostatic hormones were dosed through gas chromatography-mass spectrometry. ResultsWe included twenty patients, of which eleven were incidentally diagnosed with prostate cancer; four had ISUP 1 (20%) and seven had ISUP 2 (35%). The prostate biopsy technique was unable to obtain measures for testosterone, Delta-4-androsterone and androstenedione. Tissue concentrations of DHEA, DHT, E1 and E2 can be obtained with no significant difference from the reference established on a punch from a single biopsy core sample. ConclusionsOur study demonstrates that intraprostatic concentrations of DHEA, DHT, E1 and E2 can be measured without significant difference from the reference established on a single punch excision. This finding opens the way to research on the interactions between endocrinology and prostate oncogenesis and particularly on the mechanisms of resistance to hormone therapies in vivo. Level of evidence2

#1004 Single-nucleus RNA sequencing identifies upregulated antigen presentation, apoptosis, mTORC1 signaling and EMT in primary FSGS podocytes

Abstract Background and Aims Primary focal segmental glomerulosclerosis (FSGS) is associated with irreversible podocyte damage, but the underlying cause and pathophysiology are incompletely understood. Furthermore, diagnostic markers that allow reliable differentiation between primary and secondary FSGS subtypes are lacking. We applied single-nucleus RNA-sequencing (snRNA-seq) on podocytes of patients with primary or secondary (maladaptive) FSGS, to identify subtype-specific differentially expressed genes and pathways. Method We used droplet-based snRNA-seq (10X Genomics Chromium) on cryopreserved kidney biopsy cores from human patients with newly diagnosed primary FSGS (n = 9, all nephrotic), maladaptive FSGS (n = 9, not nephrotic), proteinuric controls (PLA2R-positive membranous nephropathy (PLA2R+ MN), n = 3), and healthy controls (pre-perfusion biopsies, n = 4). Differential gene expression (DGE) analysis was done with a pseudobulk method provided by the EdgeR R-package to reduce bias and false discoveries. The fGSEA R-package was used for subsequent gene set enrichment analysis. Results We identified a total of 120 751 high-quality nuclei, of which 2 471 were podocytes (Fig. 1A). DGE analysis identified the top 20 differentially expressed genes (DEGs) per diagnosis (Fig. 1B). Remarkably, primary FSGS podocytes showed more transcriptional similarity to PLA2R+ MN podocytes, compared to maladaptive FSGS podocytes. This underscores the heterogeneity of patients with FSGS and shows that heavy proteinuria, regardless of the underlying diagnosis, may be associated with a distinct transcriptional profile in podocytes. Upregulated genes in primary FSGS podocytes included TIMP1, BTG2, ZNF44, EHD4, ZNF250, ECM1, SEMA4G, PHLDB1, and HDAC5. Upregulation of the matrix metalloproteinase inhibitor TIMP1 may possibly contribute to the development of glomerulosclerosis. Upregulation of BTG2 has previously been found to be pathogenic in FSGS by promoting epithelial-mesenchymal transition (EMT)-induced podocyte injury [1]. Next, gene set enrichment analysis on the identified DEGs in primary FSGS podocytes showed upregulation of pathways involved in antigen presentation (driven by upregulation of HLA-A, HLA-B, HLA-C, HLA-E and B2M), mTORC1 signaling, apoptosis and EMT (Fig. 1C). In maladaptive FSGS, upregulated pathways were mainly involved in extracellular matrix interaction. This may correlate with the significantly higher degree of chronic damage on kidney biopsy in the maladaptive FSGS patients (median Mayo Clinic Chronicity Score of 6.0, IQR [4.0-7.0]) vs. primary FSGS (2.0, [1.0-4.0]) and PLA2R+ MN (1, IQR [1.0-1.5]) (Kruskal-Wallis test, P = 0.007). Conclusion Our results corroborate previous studies that implicate apoptosis, mTORC1 signaling, EMT and auto-immunity in primary FSGS. Our future work will focus on cell-cell interactions within the glomerular niche and validation studies of candidate podocyte-specific genes.

#1479 Single nucleus RNA-sequencing indicates functional heterogeneity of renal endothelial cells in chronic kidney disease

Abstract Background and Aims The burden of cardiovascular disease (CVD) in patients with chronic kidney disease (CKD) remains very high. Endothelial cell (EC) dysfunction is an important key player in the initiation and progression of both pathologies. More importantly, endothelial dysfunction occurs early in both disease courses and is potentially reversible, making it a promising target for effective preventive strategies. Recently, accumulating single-cell RNA sequencing-based evidence has highlighted EC heterogeneity in different pathophysiological contexts. However, while biological processes such as systemic inflammation, oxidative stress fibrosis are being defined as comm EC in CKD and CVD, a comprehensive understanding of at single-cell resolution is lacking. Here, we characterized renal EC subpopulations by single-nucleus RNA sequencing (snRNA-seq) to investigate alterations in CKD patients healthy controls and identify potential drivers of EC dysfunction in CKD. Method Droplet-based snRNA-seq (10X Genomics Chromium) was performed on cryopreserved kidney biopsy cores from 6 human patients with CKD (eGFR &amp;lt; 45 mL/min/1.73 m2) and 3 healthy controls. CKD patients included 2 patients with primary focal segmental glomerulosclerosis (FSGS) and 4 with secondary/maladaptive FSGS (2 patients with diabetes mellitus, 2 female patients in total); all patients had a Framingham 10-year cardiovascular risk score &amp;gt; 20, but no established CVD. Healthy control samples were pre-perfusion biopsies from patients undergoing living kidney donation (including 2 female patients). EC subclusters were annotated based on the expression of canonical EC marker genes. Differential gene expression analysis for patient samples vs. controls included all ECs and DEGs were filtered for log2FC &amp;gt; 0.25 or &amp;lt; −0.25 and adjusted P-value of &amp;lt; .05. Gene set enrichment analysis (GSEA) on the identified DEGs was performed using GO terms. Results A total of 4 081 ECs were present in the dataset, consisting of 5 EC subtypes in both the patient and control cohorts (Panel A). DEGs in CKD patients vs. controls included upregulated genes related to organogenesis and cell differentiation (MEF2C, MEIS2), vascular development (FLRT2), and angiogenesis regulators (VEGFC, PRCP, HDAC9) (Panel B). Notably, VEGFC and FLRT2, are involved in directing EC motility and vascular patterning. In accordance, GSEA showed enrichment for GO biological processes related to vascular endothelial growth factor signaling pathway, endothelial cell differentiation, endothelial development, regulation of angiogenesis, and endothelial cell migration (Panel C). This suggests a potential link between these genes and aberrant angiogenesis, analogous to previous findings in diabetic nephropathy. Some but not all of these changes were also reported for renal ECs of early diabetic nephropathy patients. Of note, the majority of patients studied in our cohort were non-diabetic, warranting further investigation into renal endothelial cell transcriptional alterations that are general to renal disease or specific to particular renal conditions such as diabetic nephropathy. Differential gene expression and GSEA analysis of the EC subclusters in CKD indicated involvement of the peritubular capillary and ascending vasa recta ECs in EC migration / angiogenesis-related responses, overlapping with the overall analysis described above. Glomerular capillary ECs showed upregulation of immune-related genes and processes, reflecting the inflammatory status of the kidney disease. Conclusion snRNA-seq analysis revealed heterogeneity and subtype-specific gene expression alterations of renal ECs from CKD patients compared to healthy controls. Differential functions include enhanced angiogenic (potentially compensatory) and immune-related responses. These findings suggest that specific biological functions may direct different roles of the renal EC subtypes in CKD and will be further validated for their cluster-specificity and for their therapeutic relevance.

#2538 Asymptomatic perirenal lymphoma: an unusual presentation of primary lymphoma

Abstract Background and Aims Isolated perinephric lymphoma is uncommon clinicopathological entity, reported in less than 10% of cases. Although this is rare finding, every perirenal mass require prompt diagnosis and multidisciplinary approach if needed. Method We described a case of a asymptomatic young woman who presented with accidental ultrasound finding of a „kidney sweat sign“. Results A 40 year old woman was reported to nephrologist after ultrasonography incidentally revealed a „kidney sweat sign“. The patient had normal kidney function and was symptom-free. Also, all laboratory findings were within the reference range. She was admitted to the nephrology department and CT urography, followed by the ultrasound guided coarse needle biopsy was performed. CT scan revealed right perirenal area completely filled with soft tissue mass that was making an external compression of the right kidney with no infiltration of renal tissue, while pathohistology examination of the biopsy core showed non Hodgkin B cell lymphoma of marginal zone. Immunohistochemistry study demonstrated CD20+, CD3-,CD5-, bcl 2+, bcl 6-, CD10-, CD21-, CD23-, CD38+, cyclin D1-, Ki67+ in 5–10 tumor cells. The patient was reported to hematologist where she underwent bone marrow biopsy which did not show evidence of lymphoma involvement. She was initiated on chemotherapeutic treatment R- COP (Rituximab, cyclophosphamide, vincristine and prednisone). Until now she received three doses of immunochemotherapy and showed good response to the therapy with decrease in the mass dimensions at the repeated CT scan without signs of disease dissemination. Conclusion This case report highlights the importance of an urgent and expeditious work up, including both CT scan and biopsy. Multidisciplinary approach in order to get timely diagnosis and treatment are imperative to achieve improved outcomes.

The role of PSMA PET/CT in predicting downgrading in patients with Gleason score 4+4 prostate cancer in prostate biopsy

BackgroundTo investigate the predictable parameters associated with downgrading in patients with a Gleason score (GS) 8 (4+4) in prostate biopsy after radical prostatectomy.MethodsWe retrospectively analyzed 62 patients with a GS of 4+4 on prostate biopsy who underwent robotic radical prostatectomy between 2017 and 2022.Results38 of 62 (61.2%) were downgraded. In multivariable logistic regression model, Ga-68 prostate-specific membrane antigen (PSMA) positron-emission tomography (PET)/computed tomography (CT) SUV max was independent predictor of downgrading (OR 0.904; p = 0.011) and a Logistic Regression model was constructed using the following formula: Y = 1.465–0.95 (PSMA PET/CT SUV max). The model using this variable correctly predicted the downgrading in 72.6% of patients. The AUC for PSMA PET/CT SUV max was 0.709 the cut off being 8.8.A subgroup analysis was performed in 37 patients who had no other European Association of Urology (EAU) high risk features. 25 out of 37 (67.5%) were downgraded, and 21 of these 25 had organ confined disease. Low PSMA SUV max (<8.1) and percentage of GS 4+4 biopsy cores to cancer bearing cores (45.0%) were independently associated with downgrading to GS 7.ConclusionPSMA PET/CT can be used to predict downgrading in patients with GS 4+4 PCa. Patients with GS 4+4 disease, but no other EAU high risk features, low percentage of GS 4+4 biopsy cores to cancer bearing cores, and a low PSMA PET/CT SUV max are associated with a high likelihood of the cancer reclassification to intermediate risk group.

Diagnostic performance of regional systematic biopsy for prostate cancer stratified by PI-RADS and histologic zones.

To explore the diagnostic performance of targeted biopsy (TB) combined with regional systematic biopsy (RSB) in patients with different Prostate Imaging Reporting and Data System (PI-RADS) and histologic zones for prostate lesions. This retrospective study included 1301 patients who underwent multiparametric MRI followed by combined MRI/US fusion-guided TB+systematic biopsy (SB) between January 2019 and October 2022. RSB was defined as the four perilesional SB cores adjacent to an MRI-positive lesion. Cancer detection rates were calculated for TB + SB, TB, SB, and TB + RSB, while the McNemar test was utilized for multiple comparisons among them. Subgroup analyses were performed based on different Pl-RADS and histologic zones. Of 1301 included participants (median age, 68 years; interquartile range, 63-74 years), 16,104 total biopsy cores were performed. TB + RSB detected clinically significant prostate cancer in 70.9% (922/1301) of patients, which was significantly higher than TB (67.4%, p < 0.001) or SB (67.5%, p < 0.001) but similar to TB + SB (71.0%, p = 0.50). Compared with TB + SB, TB + RSB required fewer median biopsy cores (6.3 vs. 12.4, p < 0.001) and had a higher proportion of positive cores (56.3% vs. 39.0%, p < 0.001). Subgroup analysis showed that TB had outstanding sensitivity for detecting PI-RADS 5 lesions in the PZ. Compared with TB + SB, TB + RSB achieved a similar clinically significant prostate cancer detection rate while requiring fewer biopsy cores and exhibiting higher diagnostic efficiency. For MRI-positive prostate lesions, targeted biopsy combined with regional systematic biopsy could serve as an alternative diagnostic approach to targeted biopsy combined with systematic biopsy. The scheme of prostate biopsy needs to be optimized. Regional systematic biopsy decreases the total number of cores taken. Targeted biopsies combined with regional systematic biopsies improve prostate diagnostic efficiency.