Prostate Cancer Clinical Trial
— GOPI-SegmOfficial title:
Multi-zone Computer-aided Prostate Segmentation on MR Images Using a Deep Learning-based Approach
Because the diagnostic criteria for prostate cancer are different in the peripheral and the
transition zone, prostate segmentation is needed for any computer-aided diagnosis system
aimed at characterizing prostate lesions on magnetic resonance (MR) images. Manual
segmentation is time consuming and may differ between radiologists with different expertise.
We developed and trained a convolutional neural network algorithm for segmenting the whole
prostate, the transition zone and the anterior fibromuscular stroma on T2-weighted images of
787 MRIs from an existing prospective radiological pathological correlation database
containing prostate MRI of patients treated by prostatectomy between 2008 and 2014 (CLARA-P
database).
The purpose of this study is to validate this algorithm on an independent cohort of patients.
Status | Recruiting |
Enrollment | 62 |
Est. completion date | June 2020 |
Est. primary completion date | January 2020 |
Accepts healthy volunteers | No |
Gender | Male |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: - Prostate MRI contained in the PACS of the Hospices Civils de Lyon - Performed in 2016-2019 Exclusion Criteria: - MRIs from patients who already had treatment for prostate cancer |
Country | Name | City | State |
---|---|---|---|
France | Hôpital Edouard Herriot | Lyon |
Lead Sponsor | Collaborator |
---|---|
Hospices Civils de Lyon |
France,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Mean Mesh Distance (Mean) between the contours of the whole prostate made by the algorithm and the two radiologists | The Mean Mesh Distance corresponds to the Average Boundary Distance (ABD) for each point of the reference segmentation. The distance to the closest point of the compared segmentation is first computed. Then the average of all these distances is computed and gives the ABD. The Mean Mesh Distance between the contours of the whole prostate made by the algorithm and each radiologist will be used as primary outcome measure. |
Month 11 |
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