NCT05775068Active, not recruiting
ARtificial Intelligence for Gross Tumour vOlume Segmentation
Source: ClinicalTrials.gov · Last updated 15 Oct 2026
Brief summary (registry, in English)
Identifying the outline of a Gross Tumour Volume (GTV) in lung cancer is an essential step in radiation treatment. Clinical research, such as radiomics and image-based prognostication, requires the GTV to be pre-defined on massive imaging datasets. The ARGOS community creates an open-source and vendor-agnostic federated learning infrastructure that makes it possible to train a deep learning neural network to automatically segment Lung Cancer GTV on computed tomography images. To reduce risks associated with sharing of patient data, we have used a data-secure Federated Learning paradigm known as the "Personal Health Train" that has been jointly developed by MAASTRO Clinic and the Dutch Comprehensive Cancer Organization (IKNL). The successful completion of this project will deliver a highly scalable and readily-reusable framework where multiple clinics anywhere in the world - large or small - can equitably collaborate and solve complex clinical problems with the help of artificial intelligence and massive amounts of data, while reducing the barriers associated with moving sensitive patient data across borders.
- Status (registry)
- Active, not recruiting
- Study type
- Observational
- Enrollment
- 2000 (estimated)
- First submitted
- 7 Mar 2023
- Start date
- 1 Jul 2021
- Primary completion date
- 30 Sept 2023
- Lead sponsor
- Maastricht Radiation Oncology
- Diseases
- Lung cancer
- NCT number
- NCT05775068
What you commit to
- Study type: Observational
- Planned participants: 2000
- From 1 Jul 2021 to the primary completion date, 30 Sept 2023
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Prior treatment
- Only has CT series taken after lung resection
Other illness
- Exclusively nodal disease in mediastinum with no visible hyperintense mass within the outlines of the lung parenchyma
Other
- Not a primary in the lung
- CT reconstructed pixel spacing (spatial resolution) exceeding 1.1 mm per pixel
- CT reconstructed slice thickness is greater than 3 mm per slice
Who the study is looking for
- Primary lung cancer, either small-cell or non-small cell
- Any stage of primary disease
- Radiotherapy planning Computed Tomography (CT) series taken before the commencement of radiotherapy
- Gross Tumor Volume delineated (see primary outcome above)
- CT series in DICOM format
- Primary GTV delineation (not including respiratory motion) in RT-Structure DICOM format for one matching CT series
- Any type of external beam radiotherapy treatment received
- Combinations with other therapies permitted
Age in the registry: 18 years to - · Sex: All · Does not accept healthy volunteers
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| Maastro Clinic Coordinator of this site? Confirm its status | Maastricht | Netherlands | Unknown status |
This page is information, not medical advice. Discuss any trial with your doctor.