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15
datasets available to search
ShareScore release 0.9.0
Dataset results
15 results for “Micro-ultrasound”
Optimization of Prostate Biopsy - Micro-Ultrasound Versus MRI
ClinicalTrials.gov study NCT05220501. IPD Sharing: NO. Countries: 8. Publications: 1.
Predicting Location and Extent of Prostate Cancer Using Micro-Ultrasound Imaging
ClinicalTrials.gov study NCT04981223. IPD Sharing: NO. Countries: 1. Publications: 1.
Combining High-frequency Micro-ultrasound and Multiparametric MRI Target Biopsy for Detecting Prostate Cancer
ClinicalTrials.gov study NCT06579911. IPD Sharing: NO. Countries: 1. Publications: 10.
Micro-Ultrasound for Detecting Clinically Significant Prostate Cancer in Active Surveillance
ClinicalTrials.gov study NCT07386171. IPD Sharing: NO. Countries: 1. Publications: 12.
Investigator Initiated Trial to Further Evaluate the Safety and Efficacy of Trans-perineal Focal Laser Ablation of Localized Prostate Cancer Using High Frequency Micro-ultrasound Imaging
ClinicalTrials.gov study NCT05826470. IPD Sharing: NO. Countries: 1. Publications: 1.
Micro-Ultrasound/Magnetic Resonance Imaging 001
ClinicalTrials.gov study NCT03938376. IPD Sharing: NO. Countries: 1. Publications: 1.
Micro-Ultrasound for the Detection and Localization of Prostate Cancer Tumors in Patients Undergoing Radical Prostatectomy
ClinicalTrials.gov study NCT04299620. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Micro-UltraSound In Cancer - Active Surveillance
ClinicalTrials.gov study NCT05558241. IPD Sharing: Not stated. Countries: 3. Publications: 0.
Screening for Prostate Cancer Using High Resolution Micro-ultrasound Versus Multiparametric Magnetic Resonance Imaging.
ClinicalTrials.gov study NCT06626022. IPD Sharing: NO. Countries: 2. Publications: 0.
MRI Fusion Biopsy vs. Micro-Ultrasound Guided Biopsy
ClinicalTrials.gov study NCT05471128. IPD Sharing: NO. Countries: 1. Publications: 0.
SAFE Nerve Sparing Guided by Micro-ultrasound (MUS)
ClinicalTrials.gov study NCT06945315. IPD Sharing: YES. Countries: 1. Publications: 0.
Micro-ultrasound for Prostate Cancer Diagnosis
ClinicalTrials.gov study NCT04832997. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Transperineal Micro-ultrasound for the Detection of Prostate Cancer During Biopsy
ClinicalTrials.gov study NCT07075705. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Testicular Evaluation of Azoospermia Using Micro-Ultrasound
ClinicalTrials.gov study NCT06941922. IPD Sharing: UNDECIDED. Countries: 2. Publications: 0.
Dataset related to article "Use of high-resolution micro-ultrasound to predict extraprostatic extension of prostate cancer prior to surgery: a prospective single-institutional study "
<p>This record contains raw data related to article “Use of high-resolution micro-ultrasound to predict extraprostatic extension of prostate cancer prior to surgery: a prospective single institutional study"</p> <p><strong>Purpose: </strong> We aim to evaluate the accuracy of micro-ultrasound (microUS) in predicting extraprostatic extension (EPE) of Prostate Cancer (PCa) prior to surgery.</p> <p><strong>Methods: </strong> Patients with biopsy-proven PCa scheduled for robot-assisted radical prostatectomy (RARP) were prospectively recruited. The following MRI-derived microUS features were evaluated: capsular bulging, visible breach of the prostate capsule (visible extracapsular extension; ECE), presence of hypoechoic halo, and obliteration of the vesicle-prostatic angle. The ability of each feature to predict EPE was determined.</p> <p><strong>Results: </strong> Overall, data from 140 patients were examined. All predictors were associated with non-organ-confined disease (p < 0.001). Final pathology showed that 79 patients (56.4%) had a pT2 disease and 61 (43.3%) ≥ pT3. Rate of non-organ-confined disease increased from 44% in those individuals with only 1 predictor (OR 7.71) to 92.3% in those where 4 predictors (OR 72.00) were simultaneously observed. The multivariate logistic regression model including clinical parameters showed an area under the curve (AUC) of 82.3% as compared to an AUC of 87.6% for the model including both clinical and microUS parameters. Presence of ECE at microUS predicted EPE with a sensitivity of 72.1% and a specificity of 88%, a negative predictive value of 80.5% and positive predictive value of 83.0%, with an AUC of 80.4%.</p> <p><strong>Conclusions: </strong> MicroUS can accurately predict EPE at the final pathology report in patients scheduled for RARP.</p>
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