ARtificial Intelligence for Gross Tumour vOlume Segmentation

Summary

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.

Conditions

• Lung Cancer

Interventions

RADIATION

Radiotherapy

Radiotherapy

Sponsors & Collaborators

• Universitaire Ziekenhuizen KU Leuven

  collaborator OTHER

• Radboud University Medical Center

  collaborator OTHER

• The Netherlands Cancer Institute

  collaborator OTHER

• University Hospital, Basel, Switzerland

  collaborator OTHER

• University of Zurich

  collaborator OTHER

• University Medical Center Groningen

  collaborator OTHER

• Isala

  collaborator OTHER

• Tianjin Medical University Cancer Institute and Hospital

  collaborator OTHER

• Fondazione Policlinico Universitario Agostino Gemelli IRCCS

  collaborator OTHER

• Cardiff University

  collaborator OTHER

• The Leeds Teaching Hospitals NHS Trust

  collaborator OTHER

• The Christie NHS Foundation Trust

  collaborator OTHER

• Cambridge University Hospitals NHS Foundation Trust

  collaborator OTHER

• Hospital Israelita Albert Einstein

  collaborator OTHER

• University of Pennsylvania

  collaborator OTHER

• Liverpool Hospital, South Western Sydney Local Health District

  collaborator UNKNOWN

• MVR Cancer Centre and Research Institute India

  collaborator UNKNOWN

• H. Lee Moffitt Cancer Center and Research Institute

  collaborator OTHER

• Oslo University Hospital

  collaborator OTHER

• Christian Medical College, Vellore, India

  collaborator OTHER

• Fudan University

  collaborator OTHER

• Swiss Institute of Bioinformatics

  collaborator UNKNOWN

• Guangdong Provincial People's Hospital

  collaborator OTHER

• National Institute of Technology Calicut

  collaborator UNKNOWN

• Maastricht University

  collaborator OTHER

• Maastricht Radiation Oncology

  lead OTHER

Eligibility

Min Age

18 Years

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2021-07-01

Primary Completion

2023-09-30

Completion

2024-12-01

Countries

• Netherlands

Study Locations