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Prostate cancer diagnosis by multiparametric ultrasound

Prostate cancer diagnosis by multiparametric ultrasound - mpUS for PCa detection

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
NL-OMON
Registry ID
NL-OMON54171
Enrollment
25
Registered
2023-07-31
Start date
2024-07-31
Completion date
Unknown
Last updated
2025-09-08

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Prostate cancer prostatic adenocarcinoma

Interventions

None listed

Sponsors

Academisch Medisch Centrum
Lead Sponsor

Eligibility

Age
18 Years to 99 Years

Inclusion criteria

Inclusion criteria: Men >=18 years with confirmed prostate cancer scheduled for radical prostatectomy

Exclusion criteria

Exclusion criteria: - No mpMRI performed prior to prostate biopsy or radical prostatectomy - A history of chemotherapy for PCa or currently being treated with chemotherapy for PCa. - A patient history that includes any of the following prostate related interventions: o Brachytherapy or external radiotherapy for PCa; o Focal therapy for prostate cancer; o Prostate biopsy within the last 30 days. - Hormonal therapy for prostate cancer within the last six months - A patient history with a cardiac right to left shunt. - Current treatment with dobutamine - Known severe pulmonary hypertension (pulmonary artery pressure >90 mmHg), uncontrolled systemic hypertension or respiratory distress syndrome - Incapable of understanding the language in which the patient information is given. - Allergic reaction to previous ultrasound contrast administration.

Design outcomes

Primary

MeasureTime frame
For the primary objective, training and improving the algorithm, we focus on • Gleason/Grade group scoring based on histology. Using histology as the reference standard we will optimize the accuracy of the algorithm in differentiating between benign tissue and various grades of malignancy. • Localization and size of lesions at full-gland histology. Correlation in tumour size and location will be optimized between 3D mpUS findings and histology of the full gland.

Secondary

MeasureTime frame
For the secondary objective, preliminary assessment of the performance of 3D mpUS, we will evaluate the following endpoints: • Among all clinically significant detected cancers confirmed by histology, we will calculate the proportion of these cancers that would have been detected by 3D mpUS. This sensitivity of 3D mpUS will be calculated for patients undergoing radical prostatectomy. The number of false positive findings by 3D mpUS both as an absolute count and expressed as a mean rate per patient. • The concordance in the detection and grading of abnormalities between mpMRI and 3D mpUS by examining the frequency and type of disagreements and calculating the kappa statistic.

Countries

Netherlands

Outcome results

None listed

Source: NL-OMON (via WHO ICTRP)