Aspergillosis Clinical Trials
A listing of Aspergillosis medical research trials actively recruiting patient volunteers. Search for closest city to find more detailed information on a research study in your area.
Found 1,104 clinical trials
The Addictive Diagnostic Value of Apparent Diffusion Coefficients to bpMRI in the Diagnosis of Prostate Cancer
The goal of this study is to evaluate the diagnostic value of different ADC values (incuding ADCmin, ADCmean, ADCratio and ADCrange) of bpMRI in patients with PI-RADS 3-5. The main aim is to evaluate whether different ADC values improve the diagnosis of clinically significant prostate cancer (Gleasonscore≥3+4, ISUP grade ≥2) …
The Case of "Triple" Versus "Double" Therapy for Patients With High Volume Metastatic Hormone Sensitive Prostate Cancer
Lead4Care is an observational, open-label, multicenter study evaluating the effectiveness, tolerance, and cost-effectiveness of triple against double therapy in matched groups of mHSPC patients with high tumor burden. In addition to androgen deprivation therapy (ADT), the triple constitutes of docetaxel and novel hormonal therapy (NHT), and the double of NHT …
AI-based Measurements of Tumour Burden in PSMA PET-CT
The primary aim of the present study is to evaluate how automatically calculated (by an AI-based method) tumour burden, measured as tumour volume (TV) and as tumour uptake (TU: TV x SUVmean) in the prostate/prostate bed, pelvic lymph nodes, distant lymph nodes, bone and as the total tumour burden predicts …
The Development and Validation of MRI-AI-based Predictive Models for CsPCa
This study retrospectively included patients who underwent prostate magnetic resonance imaging (MRI) and subsequent ultrasound-guided prostate biopsy at Peking University First Hospital from January 2019 to December 2023, and prospectively enrolls patients from January 2024 to December 2029. Clinical information such as age, PSA levels, PI-RADS scores, and digital rectal …
Validation of a Machine Learning Model Based on MR for the Prediction of Prostate Cancer
The goal of this observational study is to validate a clinically significant predictive machine learning model based on the processing of images RMmp (Multiparametric Magnetic Resonance Imaging). To be validated the model should be evaluated on: Specificity (SP): is the probability of a negative test result, conditioned on the individual …
Prospective Database of Clinical Outcomes Following Cryotherapy for Ablation of Clinically Localized Prostate Cancer
This will be a prospectively maintained research database. The purpose is to record baseline parameters and treatment outcomes following of Cryotherapy for ablation of clinically localized prostate cancer.
European Registry of Next Generation Imaging in Advanced Prostate Cancer
The RING study is a European registry collecting real-world data on advanced prostate cancer (APC) imaging. It aims to evaluate the role of next-generation imaging (NGI), such as PET/CT and whole-body MRI, in detecting and monitoring the disease compared to conventional imaging. Men aged 18 or older with histologically confirmed …
Precision Medicine in the Prostate Cancer Care Pathway
This study aims to evaluate the use of a prostate cancer specific predisposition genetic panel test in men with / at high risk of prostate cancer. The genetic test will analyse men's DNA samples for the presence of mutations in rare genes as well as common genetic variation to provide …
Upright MRI for Prostate Cancer Screening
This is an investigator initiated study to test the efficacy of an upright MRI (Magnetic Resonance Imaging) for the screening of prostate cancer. The purpose of this study is to compare Upright MRI as a technique to PSA (Prostate Specific Antigen) and current MRI imaging. It will take place at …
Detection of Prostate Cancer Using Voided Urine
This study collects urine from male patients seen at the urology clinic to detect prostate cancer cells, shed in voided urine, using the optical imaging method developed in the laboratory, which targets certain biomarkers expressed on prostate cancer cells. The information learned from this study may allow researchers develop a …
