Manage your clinical trials
Create your workflow
Optimize the quality of your data
Ensure the security of the project
Make your own analyses
Onco Place is the AQUILAB by Coexya platform to efficiently Share and Analyze Imaging and Radiotherapy data in your clinical trials.
Onco Place is all-in-one solution, with unmatched customization possibilities, to fit any of your requirements. It provides an efficient way to improve coordination and ensure trial quality while saving time and reducing overall costs.
Workflow Management: Customized workflow, user’s roles, emails notifications, dashboards or queries management. Unmatched customization possibilities to fit any of your clinical trial requirements into a tailored solution.
Data collection and pseudonymization: Management of all DICOM modalities (CT, MR, PET, NM…), DICOM RT files (Structures, Plans, Dose…), Videos or Photos. All files are automatically pseudonymized on local site before upload.
Connection to your eCRF to retrieve and analyze all data in Onco Place.
Dummy Runs (Benchmark cases): Dedicated tools for Contouring and Planning exercises on clinical cases in order to ensure that each investigating center has properly integrated the entire study protocol.
RT QA and Individual Case Review: Based on Plans uploaded by investigating centers, experts can review contours and dose using our ARTIVIEW software or online ARTWEB viewer.
Use your own experts or take advantage of our team of RT experts to review plans.
Online or Onsite Review: Integrated ARTWEB viewer permits to visualize images online with a simple browser. Files can also be uploaded in our ARTIVIEW software, in any PACS or imaging station for review.
Our team of radiologists can also review and analyze your images.
Radiological response: Our solution evaluate global response based on all commonly used reading criteria, including RECIST, iRECIST or RANO.
Onco Place Analytics tools provide statistical analyses and data processing models based on data collected in Onco Place. Its purpose is to move beyond data collection, to reach data transformation and mining on cohorts of patients.
