Threedimensional Multiparametric Ultrasound for Prostate Cancer Detection

NCT ID: NCT04605276

Last Updated: 2024-10-15

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

608 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-06-28

Study Completion Date

2024-03-07

Brief Summary

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Rationale: Current imaging techniques for the detection and grading of prostate cancer are imperfect, leading to unnecessary biopsies, suboptimal treatment decisions and missed clinically significant cancers. The hypothesis of this study is that computer assisted analysis of 3D multiparametric ultrasound (mpUS) images can accurately detect, grade and localize prostate cancer. 3D mpUS may then become a more cost-effective and more streamlined imaging strategy than the current standard: mpMRI.

Objective: The primary objective is to collect high-quality 3D mpUS and histology data, to train and improve the classifier algorithm with the goal of achieving an accurate ultrasound imaging tool for the detection of clinically significant prostate cancer.

Secondary objectives are related to the preliminary assessment of the performance of 3D mpUS with computer assisted analysis.

Study design: This is a prospective, multi-center study in men with a suspicion of prostate cancer who are scheduled for prostate biopsies, and men with confirmed prostate cancer who are scheduled to undergo a radical prostatectomy. Prior to prostate biopsies or the radical prostatectomy, 3D mpUS imaging will be performed. The ultrasound images will be analyzed and used for algorithm training using the biopsies and/or prostatecomy specimens as gold standard. Additional research coupes of pathology material (both biopsies and radical prostatectomy specimens) from study subjects will be anonymized and separately analyzed and stored in a central, independent institution. The outcome of the 3D mpUS analysis and the additional pathology evaluation are for research purposes only and will not interfere with standard patient care.

Study population: 1) Male patients of age ≥18 suspected for prostate cancer who are scheduled for systematic and/or targeted biopsy after mpMRI examination.

2\) patients of age ≥18 with confirmed prostate cancer who are scheduled for radical prostatectomy.

Main study parameters/endpoints:

* Gleason/Grade group scoring based on histology. Using histology as the reference standard the accuracy of the algorithm will be optimized to be differentiating between benign tissue and various grades of malignancy.
* Localization and size of lesions at full-gland histology in the subset of patients undergoing radical prostatectomy. Correlation in tumour size and location will be optimized between 3D mpUS findings and histology of the full gland.

For the secondary objective, preliminary assessment of the performance of 3D mpUS, the following endpoints are evaluated

* Among all clinically significant detected cancers confirmed by histology, the proportion of these cancers that would have been detected by 3D mpUS will be calculated. 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.

Detailed Description

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Conditions

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Prostate Cancer

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Pre-biopsy cohort

Male patients of age ≥18 suspected for prostate cancer who are scheduled for systematic and/or targeted biopsy after mpMRI examination.

No intervention study

No intervention

Intervention Type OTHER

No intervention

Pre-radical prostatectomy cohort

Male patients of age ≥18 diagnosed with prostate cancer who are scheduled for radical prostatectomy

No intervention

Intervention Type OTHER

No intervention

Interventions

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No intervention

No intervention

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

In order to be eligible to participate in this study, a subject must meet all of the following criteria:

* Men ≥18 years with a clinical suspicion of prostate cancer or confirmed prostate cancer.
* Scheduled for either systematic and/or targeted biopsy after mpMRI examination or radical prostatectomy
* Signed informed consent

Exclusion Criteria

A potential subject who meets any of the following criteria will be excluded from participation in this study:

* 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:

* Brachytherapy or external radiotherapy for PCa;
* Focal therapy for prostate cancer;
* 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.
Minimum Eligible Age

18 Years

Eligible Sex

MALE

Accepts Healthy Volunteers

No

Sponsors

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Angiogenesis Analytics

INDUSTRY

Sponsor Role collaborator

Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)

OTHER

Sponsor Role lead

Responsible Party

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Harrie P. Beerlage

Principal investigator

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Harrie Beerlage, Professor

Role: PRINCIPAL_INVESTIGATOR

Amsterdam University Medical Centers

Locations

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Netherlands Cancer Institute

Amsterdam, North Holland, Netherlands

Site Status

Amsterdam Univesity Medical Centers location VUmc

Amsterdam, North Holland, Netherlands

Site Status

Academic Medical Center

Amsterdam, North Holland, Netherlands

Site Status

Countries

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Netherlands

References

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Russo G, Mischi M, Scheepens W, De la Rosette JJ, Wijkstra H. Angiogenesis in prostate cancer: onset, progression and imaging. BJU Int. 2012 Dec;110(11 Pt C):E794-808. doi: 10.1111/j.1464-410X.2012.11444.x. Epub 2012 Sep 7.

Reference Type BACKGROUND
PMID: 22958524 (View on PubMed)

van Moorselaar RJ, Voest EE. Angiogenesis in prostate cancer: its role in disease progression and possible therapeutic approaches. Mol Cell Endocrinol. 2002 Nov 29;197(1-2):239-50. doi: 10.1016/s0303-7207(02)00262-9.

Reference Type BACKGROUND
PMID: 12431818 (View on PubMed)

Mischi M, Kuenen MP, Wijkstra H. Angiogenesis imaging by spatiotemporal analysis of ultrasound contrast agent dispersion kinetics. IEEE Trans Ultrason Ferroelectr Freq Control. 2012 Apr;59(4):621-9. doi: 10.1109/TUFFC.2012.2241.

Reference Type BACKGROUND
PMID: 22547274 (View on PubMed)

Kuenen MP, Saidov TA, Wijkstra H, de la Rosette JJ, Mischi M. Spatiotemporal correlation of ultrasound contrast agent dilution curves for angiogenesis localization by dispersion imaging. IEEE Trans Ultrason Ferroelectr Freq Control. 2013 Dec;60(12):2665-9. doi: 10.1109/TUFFC.2013.2865.

Reference Type BACKGROUND
PMID: 24297031 (View on PubMed)

Postema AW, Frinking PJ, Smeenge M, De Reijke TM, De la Rosette JJ, Tranquart F, Wijkstra H. Dynamic contrast-enhanced ultrasound parametric imaging for the detection of prostate cancer. BJU Int. 2016 Apr;117(4):598-603. doi: 10.1111/bju.13116. Epub 2015 Jun 29.

Reference Type BACKGROUND
PMID: 25754526 (View on PubMed)

Postema AW, Gayet MCW, van Sloun RJG, Wildeboer RR, Mannaerts CK, Savci-Heijink CD, Schalk SG, Kajtazovic A, van der Poel H, Mulders PFA, Beerlage HP, Mischi M, Wijkstra H. Contrast-enhanced ultrasound with dispersion analysis for the localization of prostate cancer: correlation with radical prostatectomy specimens. World J Urol. 2020 Nov;38(11):2811-2818. doi: 10.1007/s00345-020-03103-4. Epub 2020 Feb 20.

Reference Type BACKGROUND
PMID: 32078707 (View on PubMed)

Mannaerts CK, Engelbrecht MRW, Postema AW, van Kollenburg RAA, Hoeks CMA, Savci-Heijink CD, Van Sloun RJG, Wildeboer RR, De Reijke TM, Mischi M, Wijkstra H. Detection of clinically significant prostate cancer in biopsy-naive men: direct comparison of systematic biopsy, multiparametric MRI- and contrast-ultrasound-dispersion imaging-targeted biopsy. BJU Int. 2020 Oct;126(4):481-493. doi: 10.1111/bju.15093. Epub 2020 May 13.

Reference Type BACKGROUND
PMID: 32315112 (View on PubMed)

Mannaerts CK, Wildeboer RR, Remmers S, van Kollenburg RAA, Kajtazovic A, Hagemann J, Postema AW, van Sloun RJG, J Roobol M, Tilki D, Mischi M, Wijkstra H, Salomon G. Multiparametric Ultrasound for Prostate Cancer Detection and Localization: Correlation of B-mode, Shear Wave Elastography and Contrast Enhanced Ultrasound with Radical Prostatectomy Specimens. J Urol. 2019 Dec;202(6):1166-1173. doi: 10.1097/JU.0000000000000415. Epub 2019 Jun 27.

Reference Type BACKGROUND
PMID: 31246546 (View on PubMed)

van den Kroonenberg DL, Delberghe FT, Jager A, Postema AW, Beerlage HP, Zwart W, Mischi M, Oddens JR. Development and Validation of an Algorithm for Segmentation of the Prostate and its Zones from Three-dimensional Transrectal Multiparametric Ultrasound Images. Eur Urol Open Sci. 2025 Apr 6;75:48-54. doi: 10.1016/j.euros.2025.03.005. eCollection 2025 May.

Reference Type DERIVED
PMID: 40241852 (View on PubMed)

van den Kroonenberg DL, Went J, Jager A, Garrido-Utrilla A, Trappenburg JCA, Postema AW, Beerlage HP, Oddens JR. Developing a training for 3D transrectal multiparametric ultrasound of the prostate: a human factors engineering approach. Expert Rev Med Devices. 2025 Apr;22(4):361-367. doi: 10.1080/17434440.2025.2473632. Epub 2025 Mar 6.

Reference Type DERIVED
PMID: 40040313 (View on PubMed)

Other Identifiers

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CUDI - PCa

Identifier Type: -

Identifier Source: org_study_id

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