Radiomics: a Study of Outcome in Lung Cancer

NCT01302626 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 216

Last updated 2017-03-22

No results posted yet for this study

Summary

Aim of the study: The main aim is to collect data of patients with lung cancer, and to perform different analyses on this data. The data contains information on patient and tumor characteristics, imaging, and treatment characteristics. With this data it is possible to improve and validate the predictive model for survival and long term toxicity in lung cancer by multicentric prospective data collection. The long term aim, beyond this specific study, is to build a Decision Support System based on the predictive models validated in this study.

Hypothesis: The general hypothesis is that we get a better prediction in terms of AUC (area under the curve) of survival and long term toxicity when we combine multifactorial variables. These variables consist of information from clinical data, imaging data, data related to treatment type and treatment quality.

Conditions

Sponsors & Collaborators

  • H. Lee Moffitt Cancer Center and Research Institute

    collaborator OTHER
  • Fondazione Policlinico Universitario Agostino Gemelli IRCCS

    collaborator OTHER
  • Maastricht Radiation Oncology

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2010-03-31
Primary Completion
2014-01-31
Completion
2014-03-31

Countries

  • United States
  • Italy
  • Netherlands

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT01302626 on ClinicalTrials.gov