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Improving the Quality of Radiotherapy by Multi-Institution Knowledge-Based Planning Optimization Models (Acronym: MIKAPOCo, Multi-Institutional Knowledge-based Approach in Plan Optimization for the Community)

NCT06317948 · Status: ENROLLING_BY_INVITATION · Type: OBSERVATIONAL · Enrollment: 1000

Last updated 2024-03-20

No results posted yet for this study

Summary

Investigators central hypothesis is that it is possible to create libraries of "consistent" Knowledge-Based plan-models derived from large Institutional experiences. These libraries can be used to guide automated RT planning and serve as tools to assist centers for plan quality assurance (QA) and plan prediction.

Quantifying Inter-institute variability of RT planning and building libraries of interchangeable and validated multi-Institutional KB plan prediction models is expected to impact on the quality of planning at the national level. The project has the potential of facilitating the introduction of AI approaches in plan optimization, thus reducing intra and inter-Institute planning variability. Improving plan quality is expected to translate into better outcome after RT in terms of local control and, even more, of side effects and Quality of life. Positive impact is also expected in patient selection for advanced techniques, in plan audit and plan optimization in clinical trials, in technology comparison and cost-benefit analyses as well as in the RT educational field.

Conditions

Interventions

OTHER

treatment plan comparison

In order to assess inter-Institute variability of DVH prediction of the various models, for the different situations and the different OARs, DVH and dose statistics (min, mean, median, max and SD of the dose received by each OAR) predicted on the patients owning to the different centers by the different models will be compared

Sponsors & Collaborators

  • IRCCS Ospedale San Raffaele

    lead OTHER

Principal Investigators

  • Claudio Fiorino, Msc · IRCCS Ospedale San Raffaele

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-10-28
Primary Completion
2022-10-28
Completion
2025-10-28

Countries

  • Italy

Study Locations

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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 NCT06317948 on ClinicalTrials.gov