Search Results (43)

Background/Objectives: Whole-gland surgery or radiotherapy for localized prostate cancer (PCa) can cure the disease but often impair urinary and sexual function. Focal therapy with high-intensity focused ultrasound (HIFU) seeks to eradicate the tumor while sparing uninvolved tissue. We prospectively evaluated oncological control, functional outcomes and safety of MRI-guided focal HIFU in patients with low- or intermediate-risk PCa. Methods: In this prospective, single-arm, phase II feasibility trial (three Austrian centres, 2021–2024), treatment-naive patients with D’Amico low/intermediate-risk, PSA ≤ 15 ng/mL, clinical stage ≤ T2 and MRI-targeted, biopsy-confirmed index lesions underwent lesion-targeted HIFU (Focal One™). The primary endpoint was failure-free survival (FFS: absence of salvage whole-gland or systemic therapy, metastasis or PCa-specific death). Secondary endpoints included biopsy-proven cancer, prostate-specific antigen (PSA), patient-reported symptoms as International Prostate Symptom Score (IPSS), 5-item International Index of Erectile Function (IIEF), Gaudenz Incontinence Questionnaire and adverse events. Planned follow-up was 24 months with PSA every 3 months, mpMRI and biopsies at 12 months, and imaging- or PSA-triggered biopsies thereafter. Results: Fifty-one men were analysed in the per-protocol cohort (median age 67 years, median PSA 7.55 ng/mL). Median treated volume was 12 mL; median procedure time 85 min. At 24 months, FFS was 94.1%: 3/51 patients (5.9%) required salvage radiotherapy. Among 31 patients who underwent follow-up biopsy, 26 (83.9%) had no cancer; the five positives included three ISUP 1, one ISUP2 and one ISUP 4 lesion. Mean PSA fell by 69% at 3 months (to 2.3 ng/mL) and then stabilized under 3 ng/mL, with a mean of 2.7 ± 1.5 ng/mL at 24 months. Transient acute urinary retention occurred in 11/51 (21.6%); no Clavien–Dindo grade ≥ 4 events were reported. IPSS returned to or improved beyond baseline, erectile function largely recovered by 6–12 months, and only one new case of grade 2 incontinence was observed. Conclusions: MRI-guided focal HIFU achieved high two-year failure-free survival with low morbidity and preserved quality of life in carefully selected patients with low- or intermediate-risk PCa. These data support further randomized and longer-term investigations of focal HIFU as an organ-sparing alternative to whole-gland treatment. Full article

Objectives: The objective of this study was to investigate the prognostic value of systemic inflammatory markers (SIMs)—namely, the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR)—on survival outcomes and treatment responses in patients with metastatic castration-resistant prostate cancer (mCRPC) receiving abiraterone (ABI) or enzalutamide (ENZA) therapy. Methods: In this two-center retrospective observational study, researchers analyzed clinical data from 106 patients diagnosed with mCRPC. The cut-offs for NLR and PLR were determined to be 2.83 and 156, respectively, and their effects on progression-free survival (PFS) and overall survival (OS) were evaluated using Kaplan–Meier and Cox regression analyses. Changes in SIMs before and after ABI/ENZA treatment were assessed using the Wilcoxon signed-rank test. Results: Lower NLR (≤2.83) and PLR (≤156) were significantly associated with longer PFS and OS; however, in multivariate analysis, only high PLR emerged as an independent adverse prognostic factor for OS (HR: 2.01; p = 0.026). Meanwhile, treatment response was an independent predictor of PFS, and no significant changes were observed in the mean platelet volume (MPV), platelet distribution width (PDW), or platelet–large cell ratio (P-LCR) after treatment. Conclusions: SIMs, such as NLR and especially PLR, may serve as practical and accessible tools for predicting survival in mCRPC patients; however, further prospective studies are warranted. Full article

A new human pathogen triggering a pandemic can impact health directly through disease resulting from infection and indirectly through health system disruption. The COVID-19 pandemic is hypothesised to have impacted pathology testing by impacting healthcare and pathology operations and reducing healthcare attendance for fear of infection. The impacts of COVID-19 incidence and pandemic control measures on non-COVID pathology testing were assessed in four Australian states/territories using pathology data (histology, prostate-specific antigen, gynaecological cytology, complete blood count, haemoglobin A1c, and human immunodeficiency virus) from a large national private pathology provider (January 2019–December 2024). Weekly testing volumes from lockdown periods were compared to the equivalent weeks in 2019. All pathology tests demonstrated a substantial decline during the initial national lockdown in March 2020. Subsequent lockdowns were also associated with disruption. For example, complete blood count testing in Victoria was −22% in March 2020 and −5% in the second wave that year. Total annual testing volumes were lower for all tests in 2020 compared to 2019, excluding haemoglobin A1c, and reduced testing persisted through to 2024. The findings indicate substantial and sustained negative pandemic impacts on pathology testing. Reductions in pathology testing signal heightened risk of delayed disease diagnosis, disrupted chronic disease management, and poorer health outcomes. Full article

Background: Prostate-specific antigen (PSA) levels can be transiently elevated in benign conditions. Therefore, guidelines recommend repeat PSA testing before a biopsy. However, PSA should be adjusted for the prostate volume to improve its predictive accuracy for prostate cancer. This study aimed to compare the diagnostic performance of the PSA density and PSA change for prostate cancer and to evaluate whether their combination can further reduce unnecessary biopsies. Methods: We retrospectively analyzed patients who underwent a prostate biopsy between January 2020 and December 2024. Inclusion criteria were an initial PSA level between 3 and 20 ng/mL and two PSA measurements within an eight-week interval prior to the biopsy. Patients using 5-alpha reductase inhibitors before the biopsy were excluded. Receiver operating characteristic (ROC) curves and the area under the curve (AUC) were used to compare the diagnostic performance of each predictor for prostate cancer and clinically significant prostate cancer (csPCa). Results: A total of 291 patients were included. Patients with prostate cancer had higher PSA levels, smaller PSA declines, and a higher PSA density. The PSA density showed a superior diagnostic accuracy compared with the PSA change for both prostate cancer and csPCa. The PSA density calculated by a transrectal ultrasound or MRI yielded a similar diagnostic performance. However, the accuracy of the PSA density decreased in patients with a large prostate volume. Incorporating a criterion of a >20% PSA decline to exclude biopsy candidates improved the performance of the PSA density and further reduced unnecessary biopsies. Conclusions: The PSA density demonstrates good diagnostic accuracy for predicting prostate cancer. However, incorporating the PSA change further reduces unnecessary biopsies. Therefore, combining both factors provides a more effective approach for determining the need for a prostate biopsy. Full article

(1) Background: The insect male accessory gland (MAG) produces seminal fluid components crucial for male reproduction, analogous to the mammalian prostate. While some insect MAGs exhibit binucleate epithelial cells for luminal volume plasticity, the diversity of cellular arrangements and their functional implications across insects remain largely unknown. (2) Methods: We investigated the cellular architecture of MAG epithelia in various shore bug species (infraorder Leptopodomorpha, Hemiptera) and their mechanisms of multinucleation and potential MAG volume regulation. (3) Results: The MAG epithelia of shore bugs comprise a small number of large, plastic syncytial cells with varying nuclear numbers. We hypothesize that these syncytia facilitate effective MAG volume expansion post-eclosion. Uniquely, MAG shrinkage involves the localized contraction of limited muscle fibers, unlike the systematic contraction of circular muscles in most other insects. We further describe sequential cell fusion during the nymphal stage as the mechanism of multinucleation. (4) Conclusions: The unique syncytial organization of Leptopodomorpha MAG epithelia represents an evolutionary divergence from typical binucleate or mononucleate structures in other insects; it is likely that this enables distinct mechanisms for reproductive fluid storage and evacuation. This study highlights the evolutionary diversity of male reproductive organ morphology and function within insects. 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

Objectives: to assess the ability of high-performing open-weight large language models (LLMs) in extracting key radiological features from prostate MRI reports. Methods: Five LLMs (Llama3.3, DeepSeek-R1-Llama3.3, Phi4, Gemma-2, and Qwen2.5-14B) were used to analyze free-text MRI reports retrieved from clinical practice. Each LLM processed reports three times using specialized prompts to extract (1) dimensions, (2) volume and PSA density, and (3) lesion characteristics. An experienced radiologist manually annotated the dataset, defining entities (Exam) and sub-entities (Lesion, Dimension). Feature- and physician-level performance were then assessed. Results: 250 MRI exams reported by 7 radiologists were analyzed by the LLMs. Feature-level performances showed that DeepSeek-R1-Llama3.3 exhibited the highest average score (98.6% ± 2.1%), followed by Phi4 (98.1% ± 2.2%), Llama3.3 (98.0% ± 3.0%), Qwen2.5 (97.5% ± 3.9%), and Gemma2 (96.0% ± 3.4%). All models excelled in extracting PSA density (100%) and volume (≥98.4%), while lesions’ extraction showed greater variability (88.4–94.0%). LLMs’ performance varied among radiologists: Physician B’s reports yielded the highest mean score (99.9% ± 0.2%), while Physician C’s resulted in the lowest (94.4% ± 2.3%). Conclusions: LLMs showed promising results in automated feature-extraction from radiology reports, with DeepSeek-R1-Llama3.3 achieving the highest overall score. These models can improve clinical workflows by structuring unstructured medical text. However, a preliminary analysis of reporting styles is necessary to identify potential challenges and optimize prompt design to better align with individual physician reporting styles. This approach can further enhance the robustness and adaptability of LLM-driven clinical data extraction. Full article

Background/Objectives: The aim of this research was to compare perioperative outcomes, functional results, quality of life, and complications between robot-assisted simple prostatectomy (RASP) and holmium laser prostate enucleation (HoLEP) as minimally invasive techniques for treating benign prostatic hyperplasia (BPH) in large prostates (>150 cm³). Methods: This retrospective, multicenter, observational study (2007–2023) included patients with >150 cm³ prostate volumes who underwent either HoLEP or robot-assisted prostatectomy. Primary outcomes: success rate (complete enucleation, without transfusion or reintervention), good postoperative quality of life (IPSS 8th question score: 0–2), and continence at 6 months (no pads). Secondary outcomes: operative and catheterization time, hospital stay, enucleated gland weight, PSA reduction, Qmax improvement, and perioperative complications. Results: We included 95 HoLEP and 50 RASP patients with similar demographics and prostate volume (HoLEP: 187.72 cm³; RASP: 203.38 cm³). The success rate (HOLEP: 83.2%; RASP: 74%), continence rate (HoLEP: 85.1%; RASP: 86%), and quality of life (HoLEP: 83.2%; RASP 94%) were similar (p = 0.275, p = 1, and p = 0.075, respectively). HoLEP had a shorter operative time (97.58 vs. 122.4 min) and catheterization duration, with similar hospitalization duration (HoLEP: 3.46 days; RASP: 4.22 days). Although there was no significant difference in enucleated gland weight, HoLEP was more efficient (1.28 g/min vs. 1.06 g/min). Complication rates were similar (HOLEP: 15.5%; RASP: 26%; p = 0.12). Conclusions: Both RASP and HoLEP are safe for treating BPH in prostates >150 cm³, reporting similar success and continence rates and good quality of life after surgery. However, HoLEP achieved results with shorter operative time and catheterization duration. Full article

Lung cancer is by far the leading cause of cancer death among both men and women, making up almost 25% of all cancer deaths Each year, more people die of lung cancer than colon, breast, and prostate cancer combined. The early detection of lung cancer is critical for improving patient outcomes, and automation through advanced image analysis techniques can significantly assist radiologists. This paper presents the development and evaluation of a computer-aided diagnostic system for lung cancer screening, focusing on pulmonary nodule segmentation in low-dose CT images, by employing HighRes3DNet. HighRes3DNet is a specialized 3D convolutional neural network (CNN) architecture based on ResNet principles which uses residual connections to efficiently learn complex spatial features from 3D volumetric data. To address the challenges of processing large CT volumes, an efficient patch-based extraction pipeline was developed. This method dynamically extracts 3D patches during training with a probabilistic approach, prioritizing patches likely to contain nodules while maintaining diversity. Data augmentation techniques, including random flips, affine transformations, elastic deformations, and swaps, were applied in the 3D space to enhance the robustness of the training process and mitigate overfitting. Using a public low-dose CT dataset, this approach achieved a Dice coefficient of 82.65% on the testing set for 3D nodule segmentation, demonstrating precise and reliable predictions. The findings highlight the potential of this system to enhance efficiency and accuracy in lung cancer screening, providing a valuable tool to support radiologists in clinical decision-making. Full article

Background and Objectives: In the surgical treatment of benign prostatic hyperplasia (BPH), laser enucleation of the prostate is recommended as an alternative to transurethral resection (TURP) and open prostatectomy (OP). The thulium fiber laser, with its superficial penetration depth, can offer a rapid learning process by causing less heat injury and capsule damage. This study compares the first 60 cases of an endourologist performing thulium fiber enucleation of the prostate (ThuFLEP) without a mentor to the results of OP and TURP performed by experienced surgeons. It also identifies the case number at which the operation time for ThuFLEP starts to plateau. Materials and Methods: Between 1 November 2021 and 1 November 2023, the initial 60 ThuFLEP cases of an endourologist with no prior enucleation experience were compared with TURP and OP operations performed by experienced surgeons. Since the first 60 ThuFLEP cases involved 80–120 cc prostates, TURP and OP operations within this size range performed during the same period were included in the study. The groups were assessed for age, preoperative and postoperative prostate volume, PSA levels, the IPSS, the IPSS Quality of Life (QoL), and maximum urinary flow (Q_max). The 60 consecutive ThuFLEP cases were divided into three groups of 20 (Groups 1, 2, and 3) and compared for operation time, IPSS, and Q_max. Results: The operation time for TURP was shorter than for ThuFLEP and OP (p < 0.001). There was no significant difference between ThuFLEP and OP in postoperative Q_max and IPSS, while TURP had lower values than the other two methods. For ThuFLEP, the operation time was longer in the first 20 cases but plateaued in groups 2 and 3 (p < 0.001). Postoperative Q_max and IPSS values showed no significant differences among the three ThuFLEP groups (p > 0.05). Conclusions: For large prostates, ThuFLEP provides better postoperative results than TURP and offers shorter catheterization and hospital stay times than OP. Its short learning curve makes it a preferable method for treating BPH compared to other laser techniques. Full article

Background: Prostate Cancer (PCa) is asymptomatic at an early stage and often painless, requiring only active surveillance. External Beam Radiotherapy (EBRT) is currently a curative option for localised and locally advanced diseases and a palliative option for metastatic low-volume disease. Although highly effective, especially in a hypofractionation scheme, 17.4% to 39.4% of all patients suffer from cancer recurrence after EBRT. But, radiographic findings also correlate with significant differences in protein expression patterns. In the PCa EBRT workflow, several imaging modalities are available for grading, staging and contouring. Using image data characterisation algorithms (radiomics), one can provide a quantitative analysis of prognostic and predictive treatment outcomes. Methods: This literature review searched for original studies in radiomics for PCa in the context of EBRT. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, this review includes 73 new studies and analyses datasets, imaging modality, segmentation technique, feature extraction, selection and model building methods. Results: Magnetic Resonance Imaging (MRI) is the preferred imaging modality for radiomic studies in PCa but Computed Tomography (CT), Positron Emission Tomography (PET) and Ultrasound (US) may offer valuable insights on tumour characterisation and treatment response prediction. Conclusions: Most radiomic studies used small, homogeneous and private datasets lacking external validation and variability. Future research should focus on collaborative efforts to create large, multicentric datasets and develop standardised methodologies, ensuring the full potential of radiomics in clinical practice. Full article

Background: This study evaluates the repeatability and reproducibility of fat-fraction percentage (FF%) in whole-body magnetic resonance imaging (WB-MRI) of prostate cancer patients with bone metastatic hormone naive disease. Methods: Patients were selected from the database of a prospective phase-II trial. The treatment response was assessed using the METastasis Reporting and Data System for Prostate (MET-RADS-P). Two operators identified a Small Active Lesion (SAL, <10 mm) and a Large Active Lesion (LAL, ≥10 mm) per patient, performing manual segmentation of lesion volume and the largest cross-sectional area. Measurements were repeated by one operator after two weeks. Intra- and inter-reader agreements were assessed via Interclass Correlation Coefficient (ICC) on first-order radiomics features. Results: Intra-reader ICC showed high repeatability for both SAL and LAL in a single slice (SS) and volumetric (VS) measurements with values ranging from 0.897 to 0.971. Inter-reader ICC ranged from 0.641 to 0.883, indicating moderate to good reproducibility. Spearman’s rho analysis confirmed a strong correlation between SS and VS measurements for SAL (0.817) and a moderate correlation for LAL (0.649). Both intra- and inter-rater agreement exceeded 0.75 for multiple first-order features across lesion sizes. Conclusion: This study suggests that FF% measurements are reproducible, particularly for larger lesions in both SS and VS assessments. Full article

Radiation treatment of cancers like prostate or cervix cancer requires considering nearby bone structures like vertebrae. In this work, we present and validate a novel automated method for the 3D segmentation of individual lumbar and thoracic vertebra in computed tomography (CT) scans. It is based on a single, low-complexity convolutional neural network (CNN) architecture which works well even if little application-specific training data are available. It is based on volume patch-based processing, enabling the handling of arbitrary scan sizes. For each patch, it performs segmentation and an estimation of up to three vertebrae center locations in one step, which enables utilizing an advanced post-processing scheme to achieve high segmentation accuracy, as required for clinical use. Overall, 1763 vertebrae were used for the performance assessment. On 26 CT scans acquired for standard radiation treatment planning, a Dice coefficient of 0.921 ± 0.047 (mean ± standard deviation) and a signed distance error of 0.271 ± 0.748 mm was achieved. On the large-sized publicly available VerSe2020 data set with 129 CT scans depicting lumbar and thoracic vertebrae, the overall Dice coefficient was 0.940 ± 0.065 and the signed distance error was 0.109 ± 0.301 mm. A comparison to other methods that have been validated on VerSe data showed that our approach achieved a better overall segmentation performance. Full article

Purpose: To demonstrate the feasibility of improving prostate cancer patient outcomes with PBS proton LET_d optimization. Methods: SFO, IPT-SIB, and LET-optimized plans were created for 12 patients, and generalized-tissue and disease-specific LET-dependent RBE models were applied. The mean LET_d in several structures was determined and used to calculate mean RBEs. LET_d- and dose–volume histograms (LVHs/DVHs) are shown. TODRs were defined based on clinical dose goals and compared between plans. The impact of robust perturbations on LET_d, TODRs, and DVH spread was evaluated. Results: LET_d optimization achieved statistically significant increased target volume LET_d of ~4 keV/µm compared to SFO and IPT-SIB LET_d of ~2 keV/µm while mitigating OAR LET_d increases. A disease-specific RBE model predicted target volume RBEs > 1.5 for LET-optimized plans, up to 18% higher than for SFO plans. LET-optimized target LVHs/DVHs showed a large increase not present in OARs. All RBE models showed a statistically significant increase in TODRs from SFO to IPT-SIB to LET-optimized plans. RBE = 1.1 does not accurately represent TODRs when using LET_d optimization. Robust evaluations demonstrated a trade-off between increased mean target LET_d and decreased DVH spread. Conclusion: The demonstration of improved TODRs provided via LET_d optimization shows potential for improved patient outcomes. Full article

Purpose: When autocontouring based on artificial intelligence (AI) is used in the radiotherapy (RT) workflow, the contours are reviewed and eventually adjusted by a radiation oncologist before an RT treatment plan is generated, with the purpose of improving dosimetry and reducing both interobserver variability and time for contouring. The purpose of this study was to evaluate the results of application of a commercial AI-based autocontouring for RT, assessing both geometric accuracies and the influence on optimized dose from automatically generated contours after review by human operator. Materials and Methods: A commercial autocontouring system was applied to a retrospective database of 40 patients, of which 20 were treated with radiotherapy for prostate cancer (PCa) and 20 for head and neck cancer (HNC). Contours resulting from AI were compared against AI contours reviewed by human operator and human-only contours using Dice similarity coefficient (DSC), Hausdorff distance (HD), and relative volume difference (RVD). Dosimetric indices such as D_mean, D_0.03cc, and normalized plan quality metrics were used to compare dose distributions from RT plans generated from structure sets contoured by humans assisted by AI against plans from manual contours. The reduction in contouring time obtained by using automated tools was also assessed. A Wilcoxon rank sum test was computed to assess the significance of differences. Interobserver variability of the comparison of manual vs. AI-assisted contours was also assessed among two radiation oncologists for PCa. Results: For PCa, AI-assisted segmentation showed good agreement with expert radiation oncologist structures with average DSC among patients ≥ 0.7 for all structures, and minimal radiation oncology adjustment of structures (DSC of adjusted versus AI structures ≥ 0.91). For HNC, results of comparison between manual and AI contouring varied considerably e.g., 0.77 for oral cavity and 0.11–0.13 for brachial plexus, but again, adjustment was generally minimal (DSC of adjusted against AI contours 0.97 for oral cavity, 0.92–0.93 for brachial plexus). The difference in dose for the target and organs at risk were not statistically significant between human and AI-assisted, with the only exceptions of D_0.03cc to the anal canal and D_mean to the brachial plexus. The observed average differences in plan quality for PCa and HNC cases were 8% and 6.7%, respectively. The dose parameter changes due to interobserver variability in PCa were small, with the exception of the anal canal, where large dose variations were observed. The reduction in time required for contouring was 72% for PCa and 84% for HNC. Conclusions: When an autocontouring system is used in combination with human review, the time of the RT workflow is significantly reduced without affecting dose distribution and plan quality. Full article