Search Results (202)

Background: This Phase 2 trial evaluated the efficacy, tolerability, and safety of [¹⁷⁷Lu]Lu-PSMA-617 (¹⁷⁷Lu-PSMA-617) in patients with ≥1 measurable lesion and progressive prostate-specific membrane antigen-positive (PSMA+) metastatic castration-resistant prostate cancer (mCRPC) in Japan. Methods: This study comprises four parts; data from three parts are presented here. Part 1 evaluated safety and tolerability; Parts 2 (post-taxane) and 3 (pre-taxane/taxane-naive) assessed the overall response rate (ORR; primary endpoint), overall survival (OS), radiographic progression-free survival (rPFS), disease control rate (DCR), PFS, and safety; and Part 4 is the expansion part. Patients received 7.4 GBq (±10%) ¹⁷⁷Lu-PSMA-617 Q6W for up to six cycles. Results: Of the 35 patients who underwent a [⁶⁸Ga]Ga-PSMA-11 (⁶⁸Ga-PSMA-11) PET/CT scan, 30 received ¹⁷⁷Lu-PSMA-617 (post-taxane, n = 12; pre-taxane, n = 18). No dose-limiting toxicity was noted in Part 1 (n = 3). Post- and pre-taxane patients had a median of three and five cycles, respectively. The primary endpoint, ORR, met the pre-specified threshold, with the lower limit of the 90% confidence interval (CI) above the threshold of 5% for post-taxane and 12% for pre-taxane. Post- and pre-taxane patients had an ORR of 25.0% (90% CI: 7.2–52.7) and 33.3% (90% CI: 15.6–55.4), respectively. In post- and pre-taxane patients, the DCR was 91.7% and 83.3%, the median rPFS was 3.71 and 12.25 months, and the median PFS was 3.71 and 5.59 months, respectively. The median OS was 14.42 and 12.94 months in post- and pre-taxane patients, respectively. The most common adverse events were constipation, decreased appetite, decreased platelet count, anemia, and nausea. Conclusions: The primary endpoint (ORR) was met. The safety profile of ¹⁷⁷Lu-PSMA-617 was consistent with the VISION and PSMAfore studies, with no new safety signals in the Japanese patients with mCRPC. Full article

Background/Objectives: The aim of this study was to investigate the relationship between the PRIMARY score derived from [⁶⁸Ga]Ga-PSMA PET/CT and key clinical and pathological parameters of prostate cancer aggressiveness, including the PSA level, ISUP Grade Group, and D’Amico risk classification, in patients with biopsy-proven prostate cancer. A secondary aim was to evaluate the interobserver agreement of the PRIMARY score in routine clinical practice. Methods: This retrospective analysis included 51 patients with histopathologically confirmed prostate adenocarcinoma who underwent [⁶⁸Ga]Ga-PSMA PET/CT imaging for staging. PRIMARY scores were determined based on the intraprostatic uptake pattern, intensity, and zonal localization. These scores were compared with PSA levels, ISUP GG, D’Amico risk classification, and histopathological features such as the cribriform pattern, intraductal carcinoma, perineural invasion, extraprostatic extension, and lymphovascular invasion. The PRIMARY scores were independently assigned by a total of three nuclear medicine physicians, and interobserver agreement was calculated using Fleiss’ kappa analysis. Results: Significant associations were found between the PRIMARY scores and the PSA level, ISUP Grade Group, and D’Amico risk classification. The most prevalent score was PRIMARY 5 (54.9%), which was significantly associated with ISUP GG 5 and the high-risk category in D’Amico classification. Among patients with PRIMARY Score 2, a substantial proportion (64.7%) had ISUP GG ≥ 3, and 58.8% were in the high-risk group, highlighting the limitations of binary PRIMARY classification. No statistically significant correlations were found between the PRIMARY scores and specific histopathologic features. Interobserver agreement was excellent (κ = 0.833). Conclusions: The PRIMARY score demonstrates high reproducibility and clinical relevance in stratifying prostate cancer aggressiveness. However, the findings challenge the reliability of binary classifications, particularly for patients with Score 2, who may still harbor high-grade disease. Integrating imaging-based scores with clinical and histopathological data is essential, particularly for accurate staging and decision-making regarding active surveillance. Full article

Prostate cancer, a malignancy of significant prevalence, affects approximately half a million men in Europe, with one in twelve males receiving a diagnosis before reaching the age of 75. Radiotheranostics represents a paradigm shift in prostate cancer treatment, leveraging radionuclides for diagnostic and therapeutic applications, with PSMA emerging as the primary molecular target. Regulatory bodies have approved various PSMA-targeted radiodiagnostic agents, such as [¹⁸F]DCFPyL (PYLARIFY^®, Lantheus Holdings), [¹⁸F]rhPSMA-7.3 (POSLUMA^®, Blue Earth Diagnostics), and [⁶⁸Ga]Ga-PSMA-11 (LOCAMETZ^®, Novartis/ILLUCCIX^®, Telix Pharmaceuticals), as well as therapeutic agents like [¹⁷⁷Lu]Lu-PSMA-617 (PLUVICTO^®, 15 Novartis). The approval of PLUVICTO^® in March 2022 for patients with metastatic castration-resistant prostate cancer who have undergone prior treatments, including androgen receptor pathway-targeting agents and taxane-based chemotherapy, represents a significant advancement. Other radionuclides like ¹⁶¹Tb, ¹⁴⁹Tb, ²²⁵Ac, ²²⁷Th, ²²³Ra, ²¹¹At, ²¹³ Bi, ²¹²Pb, ⁸⁹Zr, and ¹²⁵I are presented, emphasizing their clinical implementation or the stage of clinical trial they are in in the flow to biomedical implementation. Three clinically wise used radionuclides ¹⁷⁷Lu, ²²⁵Ac, ²²³Ra are shown along with their characteristics. This review aims to elucidate the molecular mechanisms underpinning PSMA, explore the clinical applications of PSMA-targeted radiotheranostics, and critically examine the diverse challenges these therapies encounter in the treatment of prostate cancer. Full article

This study assesses the clinical deployment of SubtlePET™, a commercial AI-based denoising algorithm, across three radiotracers—¹⁸F-FDG, ⁶⁸Ga-PSMA-11, and ¹⁸F-FDOPA—with the goal of improving image quality while reducing injected activity, technologist radiation exposure, and scan time. A retrospective analysis on a digital PET/CT system showed that SubtlePET™ enabled dose reductions exceeding 33% and time savings of over 25%. AI-enhanced images were rated interpretable in 100% of cases versus 65% for standard low-dose reconstructions. Notably, 85% of AI-enhanced scans received the maximum Likert quality score (5/5), indicating excellent diagnostic confidence and noise suppression, compared to only 50% with conventional reconstruction. The quantitative image quality improved significantly across all tracers, with SNR and CNR gains of 50–70%. Radiotracer dose reductions were particularly substantial in low-BMI patients (up to 41% for FDG), and the technologist exposure decreased for high-exposure roles. The daily patient throughput increased by an average of 4.84 cases. These findings support the robust integration of SubtlePET™ into routine clinical PET practice, offering improved efficiency, safety, and image quality without compromising lesion detectability. Full article

Background/Objectives: This study evaluates whether combining ⁶⁸Ga-PSMA-11-PET/CT derived imaging biomarkers with clinical risk factors improves the prediction of early biochemical recurrence (eBCR) or clinical progress in patients with high-risk prostate cancer (PCa) after primary treatment, using machine learning (ML) models. Methods: We analyzed data from 93 high-risk PCa patients who underwent ⁶⁸Ga-PSMA-11 PET/CT and received primary treatment at a single center. Two predictive models were developed: a logistic regression (LR) model and an ML derived probabilistic graphical model (PGM) based on a naïve Bayes framework. Both models were compared against each other and against the CAPRA risk score. The models’ input variables were selected based on statistical analysis and domain expertise including a literature review and expert input. A decision tree was derived from the PGM to translate its probabilistic reasoning into a transparent classifier. Results: The five key input variables were as follows: binarized CAPRA score, maximal intraprostatic PSMA uptake intensity (SUVmax), presence of bone metastases, nodal involvement at common iliac bifurcation, and seminal vesicle infiltration. The PGM achieved superior predictive performance with a balanced accuracy of 0.73, sensitivity of 0.60, and specificity of 0.86, substantially outperforming both the LR (balanced accuracy: 0.50, sensitivity: 0.00, specificity: 1.00) and CAPRA (balanced accuracy: 0.59, sensitivity: 0.20, specificity: 0.99). The decision tree provided an explainable classifier with CAPRA as a primary branch node, followed by SUVmax and specific PET-detected tumor sites. Conclusions: Integrating ⁶⁸Ga-PSMA-11 imaging biomarkers with clinical parameters, such as CAPRA, significantly improves models to predict progression in patients with high-risk PCa undergoing primary treatment. The PGM offers superior balanced accuracy and enables risk stratification that may guide personalized treatment decisions. Full article

Background: PSMA PET/CT imaging has become a cornerstone in the management of prostate cancer, particularly in the setting of biochemical recurrence (BCR). While semi-quantitative parameters such as SUVmean have been evaluated as prognostic biomarkers in metastatic castration-resistant prostate cancer (mCRPC), particularly after the VISION trial, the prognostic role of volumetric measures such as Total Molecular Volume (TMV) remain largely unexplored, especially in earlier stages of the disease such as in biochemical recurrence following primary treatment. Methods: This retrospective monocentric study included 84 patients with BCR who underwent PSMA PET/CT imaging between 2020 and 2021 using either [⁶⁸Ga]Ga-PSMA-11(Ga-PSMA) or [¹⁸F]-PSMA-1007 (F-PSMA) as tracers. Total tumor burden was assessed through manual 3D segmentation to derive whole-body Total Molecular Volume (wb TMV) and Total Lesion PSMA (wb TL-PSMA). Clinical and imaging variables were correlated with overall survival (OS) and progression-free survival (PFS) using Cox regression models. Kaplan–Meier analyses were performed based on wb TMV and thresholds determined by the Youden index. Results: A PSMA PET/CT correlation for BCR was identified in 69% of patients, with comparable detection rates between tracers (Ga-PSMA 67% vs. F-PSMA 63%, p = 0.7). A higher wb TMV was significantly associated with worse OS (HR 2.20, p < 0.001) and PFS (HR 2.01, p < 0.001) in univariable analyses. In multivariable models, log₂(wb TMV) remained an independent prognostic factor for PFS (HR 1.78, p = 0.005). Patients with log₂(wb TMV) > 2.87 exhibited significantly poorer survival outcomes. A PSA at diagnosis > 17 ng/mL also predicted shorter PFS. Conclusions: Tumor segmentation from PSMA PET/CT imaging provides powerful prognostic information in patients with biochemical recurrence of prostate cancer, independently of the tracer used. The wb TMV represents a promising volumetric biomarker for future risk stratification and therapeutic decision-making, particularly in earlier stages of prostate cancer progression, where predictive imaging biomarkers remain largely undefined. Full article

The prostate-specific membrane antigen (PSMA) is a well-established target for radiotheranostics in prostate cancer. We previously demonstrated that 4-(p-astatophenyl)butyric acid (APBA), an albumin-binding moiety (ABM) labeled with astatine-211 (²¹¹At), enables the modulation of pharmacokinetics and enhancement of therapeutic efficacy when combined with the post-administration of an albumin-binding competitor. However, this strategy has not been explored in PSMA-targeting ligands. We designed and synthesized [²¹¹At]6, a novel PSMA ligand structurally analogous to PSMA-617 with APBA. The compound was obtained via a tin–halogen exchange reaction from the corresponding tributylstannyl precursor. Comparative cellular uptake and biodistribution studies were conducted with [²¹¹At]6, its radioiodinated analog [¹²⁵I]5, and [⁶⁷Ga]Ga-PSMA-617. To assess pharmacokinetic modulation, sodium 4-(p-iodophenyl)butanoate (IPBA), an albumin-binding competitor, was administered 1 h postinjection of [¹²⁵I]5 and [²¹¹At]6 at a 10-fold molar excess relative to blood albumin. The synthesis of [²¹¹At]6 gave a radiochemical yield of 15.9 ± 7.7% and a radiochemical purity > 97%. The synthesized [²¹¹At]6 exhibited time-dependent cellular uptake and internalization, with higher uptake levels than [⁶⁷Ga]Ga-PSMA-617. Biodistribution studies of [²¹¹At]6 in normal mice revealed a prolonged blood retention similar to those of [¹²⁵I]5. Notably, post-administration of IPBA significantly reduced blood radioactivity and non-target tissue accumulation of [¹²⁵I]5 and [²¹¹At]6. We found that ABM-mediated pharmacokinetic control was applicable to PSMA-targeted radiotherapeutics, broadening its potential for the optimization of radiotheranostics. Full article

Positron emission tomography (PET) imaging targeting glypican-3 (GPC3) holds promise for improving the detection and characterization of hepatocellular carcinoma (HCC). Preclinical and early clinical studies have largely utilized high-molecular-weight antibodies radiolabeled with isotopes such as ⁸⁹Zr and ¹²⁴I, demonstrating high affinity and tumor uptake but suffering from prolonged circulation times and suboptimal signal-to-background ratios. To address these limitations, interest has shifted toward low-molecular-weight vectors—synthetic peptides and small antibody fragments—labeled with shorter-lived radionuclides (e.g., ⁶⁸Ga and ¹⁸F) to enable rapid pharmacokinetics and same-day imaging protocols. Emerging platforms such as affibodies and aptamers offer further advantages in target affinity and reduced immunogenicity. However, clinical translation requires rigorous validation: larger, histologically confirmed cohorts, head-to-head comparison with CT/MRI, and correlation with hard clinical endpoints. Moreover, leveraging GPC3 expression as a biomarker could guarantee a deeper knowledge of tumor biology—differentiation grade and vascular invasion risk—and guide theranostic strategies. While β-emitters (⁹⁰Y, ¹⁷⁷Lu) have been explored for GPC3-directed therapy, their efficacy is influenced by oxygenation and cell-cycle status, whereas α-emitters (²²⁵Ac) may overcome these constraints, albeit with challenges in radionuclide selection and daughter nuclide management. Finally, dual-targeting probes combining GPC3 and prostate-specific membrane antigen (PSMA) have demonstrated superior uptake and retention in murine models, suggesting a versatile approach for future clinical diagnostics and therapy planning. Full article

Locametz^®/Illuccix^®/Gozellix^TM (Novartis AG (Basel, Switzerland) and Telix Pharmaceuticals, Ltd. (Melbourne, Australia), all three [⁶⁸Ga]Ga-PSMA-11), Pylarify^®/Pylclari^® (Progenics Pharmaceuticals, Inc. (New York, USA) and Curium PET France SA (Paris, France), both [¹⁸F]DCFPyL), Radelumin^® (ABX GmbH (Radeberg, Germany), [¹⁸F]PSMA-1007), and Posluma^® (Blue Earth Diagnostics, Ltd. (Oxford, UK), [¹⁸F]rhPSMA-7.3) are four approved PSMA-PET imaging agents that have significantly advanced the diagnosis and management of prostate cancer. These agents offer a new level of precision and accuracy, enabling clinicians to detect prostate cancer with enhanced sensitivity. As a result, they play a critical role in improving detection, staging, and management, ultimately enhancing clinical outcomes for patients. Their use in routine clinical practice is expected to increase diagnostic precision and provide clearer pathways for personalized therapy. This review offers a comprehensive chemical, pharmaceutical, and medicinal overview, discusses comparative studies, and highlights additional highly relevant candidates for prostate cancer detection. Full article

Background/Objectives: This study evaluates and compares the diagnostic accuracy of [68Ga]Ga-PSMA-11 and [18F]F-PSMA-1007 for lymph node staging in patients with prostate cancer (PCa) scheduled for robot-assisted radical prostatectomy (RARP) and lymphadenectomy (LND). Methods: We retrospectively reviewed prospectively collected data on patients referred to our hospital from October 2020 to January 2023. We included all patients who underwent [68Ga]Ga-PSMA-11 or [18F]F-PSMA-1007 PET/CT for primary staging and subsequently had RARP with concomitant LND. The maximum standard uptake value (SUVmax) for lymph nodes (LNs) and the SUV node-to-background ratio were reported. Two different cut-off values for the SUV node-to-background ratio (i.e., ≥2 vs. <2 and ≥15.5 vs. <15.5) were used to evaluate the diagnostic performance of both tracers. The first cut-off was empirically chosen, while the second was based on Liu’s method. Results: A total of 156 patients were included (median age: 67 years). Among them, 83 underwent [68Ga]Ga-PSMA-11 and 73 underwent [18F]F-PSMA-1007 PET/CT. Suspicious lymph nodes were identified in 21 patients (13.5%). Pathological nodal involvement (pN1) was confirmed in 25 cases (16%). Of the 21 patients with suspicious pathological lymph nodes on PSMA PET/CT, 9 (42.9%) had positive nodes on the final pathology report. With an SUV node-to-background ratio cut-off of ≥2, [68Ga]Ga-PSMA-11 showed 37.5% sensitivity (SE) and 98.5% specificity(SP), while [18F]F-PSMA-1007 demonstrated 33.3% SE and 100% SP. Using the ≥15.5 cut-off, SE and SP were 31.3% and 100% for [68Ga]Ga-PSMA-11 and 11.1% and 100% for [18F]F-PSMA-1007, respectively. Conclusions: [18F]F-PSMA-1007 PET/CT showed, even if not statistically significantly, slightly lower SE and higher SP for nodal staging compared to [68Ga]Ga-PSMA-11 PET/CT, irrespective of the SUV ratio used. Full article

Background/Objectives: The aim of this study was to demonstrate the importance of ⁶⁸Gallium (⁶⁸Ga)–prostate specific membrane antigen (PSMA)–positron emissions tomography (PET)/computed tomography (CT)(PET/CT) in prostate cancer patients for therapy management with individual analyses regarding the Gleason score, prostate specific antigen (PSA) value, and the risk groups defined by D’Amico. Methods: We retrospectively analyzed 562 ⁶⁸Ga-PSMA-11-PET/CT examinations performed from January 2015 to March 2023 at University Hospital Marburg. We assessed treatment changes post ⁶⁸Ga-PSMA-11-PET/CT and categorized the cases based on PSA values, Gleason scores, and D’Amico risk groups. Results: In 415/562 (73.8%) of ⁶⁸Ga-PSMA-11-PET/CT examinations, a modification in the therapy concept was recorded. Patients categorized as high risk or patients with Gleason scores of 7 through 10 or with PSA levels above 0.5 ng/mL (particularly within the ranges of 1.01–2 ng/mL, 3.01–5 ng/mL, and values exceeding 10 ng/mL) demonstrated a statistically significant association with treatment change. While no evidence of the disease was found most frequently in 38% of cases in the “Therapy continued without explicit reference” group, in the group with the adapted therapy, there was a considerable higher proportion of local tumors (19.2%) compared to the other groups (4.4% and 1.4%). Conclusions: Our results show the high impact of ⁶⁸Ga-PSMA-PET/CT for patients with prostate cancer regarding therapy management planning, which is even more important for some patient groups. Full article

The implementation of theranostics in oncologic nuclear medicine has exhibited immense potential in improving patient outcomes in prostate cancer with the implementation of [⁶⁸Ga]Ga-PSMA-11 PET and [¹⁷⁷Lu]Lu-PSMA-617 into clinical practice. However, the correlation between radiopharmaceutical biodistributions seen with [⁶⁸Ga]Ga-PSMA-11 PET imaging and downstream [¹⁷⁷Lu]Lu-PSMA-617 therapy remains imperfect. This suggests that prostate cancer theranostics could potentially be further refined through the implementation of true theranostics, tandem pairs of diagnostic and therapeutic radiopharmaceuticals that utilize the same ligand and element, thus yielding identical pharmacokinetics. The radioscandiums are one such group of true theranostic radiopharmaceuticals. The radioscandiums consist of two β+ emitting scandium isotopes (⁴³Sc/⁴⁴Sc), as well as a β⁻ emitting therapeutic isotope (⁴⁷Sc), which can all conjugate with PSMA-targeting PSMA-617. This potential has led to extensive investigations into the production of the radioscandiums as well as pre-clinical assessments with several ligands; however, there is a lack of literature extensively describing the complete synthesis of scandium radiopharmaceuticals. which therefore limits the accessibility of radioscandium research in theranostics. As such, this work aims to present an easily translatable protocol for the synthesis of [⁴³Sc]Sc-PSMA-617 from a [⁴²Ca]CaCO₃ starting material, including target formation, nuclear production via ⁴²Ca(d,n)⁴³Sc reaction, chemical separation, radiolabeling, solvent reformulation, and target recycling. Full article

In prostate cancer (PCa) surgery, precise tumor margin identification remains challenging despite advances in surgical techniques. This study evaluates the combination of tumor-specific near-infrared imaging with the PSMA-targeting molecule PSMA-914 and optical endomicroscopy (NIR-pCLE) for single-cell-level tumor identification in a preclinical proof of concept. Methods: NIR-pCLE imaging of varying PSMA-914 concentrations was performed on PSMA-positive LNCaP and PSMA-negative PC-3 cells using Cellvizio^® 100 with pCLE Confocal Miniprobes™. To identify optimal PSMA-914 dosing for in vivo imaging, different doses (0–10 nmol) were evaluated using NIR-pCLE, Odyssey CLx imaging, and confocal microscopy in an LNCaP tumor-bearing xenograft model. A proof of concept mimicking a clinical workflow was performed using 5 nmol [⁶⁸Ga]Ga-PSMA-914 in LNCaP and PC-3 tumor xenografts, including PET/MRI, in/ex vivo NIR-pCLE imaging, and microscopic/macroscopic imaging. Results: NIR-pCLE detected PSMA-specific fluorescence at concentrations above 30 nM in vitro. The optimal dose was identified as 5 nmol PSMA-914 for NIR-pCLE imaging with cellular resolution in LNCaP xenografts. PET/MRI confirmed high tumor uptake and a favorable distribution profile of PSMA-914. NIR-pCLE imaging enabled real-time, single-cell-level detection of PSMA-positive tissue, visualizing tumor heterogeneity, confirmed by ex vivo microscopy and imaging. Conclusions: This preclinical proof of concept demonstrates the potential of intraoperative PSMA-specific NIR-pCLE imaging to visualize tissue structures in real time at cellular resolution. Clinical implementation could provide surgeons with valuable additional information, potentially advancing PCa patient care through improved surgical precision. Full article

Background/Objectives: Attenuation correction (AC) is essential for achieving quantitatively accurate PET imaging. In ⁶⁸Ga-PSMA PET, however, artifacts such as respiratory motion, halo effects, and truncation errors in CT-based AC (CT-AC) images compromise image quality and impair model training for deep learning-based AC. This study proposes a novel artifact-refinement framework that filters out corrupted PET-CT images to create a clean dataset for training an image-domain AC model, eliminating the need for anatomical reference scans. Methods: A residual neural network (ResNet) was trained using paired PET non-AC and PET CT-AC images from a dataset of 828 whole-body ⁶⁸Ga-PSMA PET-CT scans. An initial model was trained using all data and employed to identify artifact-affected samples via voxel-level error metrics. These outliers were excluded, and the refined dataset was used to retrain the model with an L2 loss function. Performance was evaluated using metrics including mean error (ME), mean absolute error (MAE), relative error (RE%), RMSE, and SSIM on both internal and external test datasets. Results: The model trained with the artifact-free dataset demonstrated significantly improved performance: ME = −0.009 ± 0.43 SUV, MAE = 0.09 ± 0.41 SUV, and SSIM = 0.96 ± 0.03. Compared to the model trained on unfiltered data, the purified data model showed enhanced quantitative accuracy and robustness in external validation. Conclusions: The proposed data purification framework significantly enhances the performance of deep learning-based AC for ⁶⁸Ga-PSMA PET by mitigating artifact-induced errors. This approach facilitates reliable PET imaging in the absence of anatomical references, advancing clinical applicability and image fidelity. Full article

While multi-parametric magnetic resonance imaging (mpMRI) is known to be a specific and reliable modality for the diagnosis of non-metastatic prostate cancer (PC), positron emission tomography (PET) using ⁶⁸Ga labeled ligands targeting the prostate-specific membrane antigen (PSMA) is known for its reliable detection of prostate cancer, being the most sensitive modality for the assessment of the extra-prostatic extension of the disease and the establishment of a diagnosis, even before biopsy. Background/Objectives: Here, we compared these modalities in regards to the localization of intraprostatic cancer lesions prior to local HDR brachytherapy. Methods: A cohort of 27 patients received both mpMRI and PSMA-PET/CT. Based on 24 intraprostatic segments, two readers each scored the risk of tumor-like alteration in each imaging modality. The detectability was evaluated using receiver operating characteristic (ROC) analysis. The histopathological findings from biopsy were used as the gold standard in each segment. In addition, we applied a patient-based “congruence” concept to quantify the interobserver and intermodality agreement. Results: For the ROC analysis, we included 447 segments (19 patients), with their respective histological references. The two readers of the MRI reached an AUC of 0.770 and 0.781, respectively, with no significant difference (p = 0.75). The PET/CT readers reached an AUC of 0.684 and 0.608, respectively, with a significant difference (p < 0.001). The segment-wise intermodality comparison showed a significant superiority of MRI (AUC = 0.815) compared to PET/CT (AUC = 0.690) (p = 0.006). Via a patient-based analysis, a superiority of MRI in terms of relative agreement with the biopsy result was observed (n = 19 patients). We found congruence scores of 83% (MRI) and 76% (PET/CT, p = 0.034), respectively. Using an adjusted “near total agreement” score (adjacent segments with positive scores of 4 or 5 counted as congruent), we found an increase in the agreement, with a score of 96.5% for MRI and 92.7% for PET/CT, with significant difference (p = 0.024). Conclusions: This study suggests that in a small collective of low-/intermediate risk prostate cancer, mpMRI is superior for the detection of intraprostatic lesions as compared to PSMA-PET/CT. We also found a higher relative agreement between MRI and biopsy as compared to that for PET/CT. However, further studies including a larger number of patients and readers are necessary to draw solid conclusions. Full article