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Titre: Radiobiological assessment of radiotherapy treatment plans
Auteur(s): Dahdouh, Narimane
Mots-clés: Radiobiology
Radiotherapy
Date de publication: 3-nov-2025
Résumé: In addition to conducting a dosimetric evaluation of the treatment plans, we performed a radiobiological assessment using the NTCP, TCP, and UTCP indices. This is integrated into our developed program, Radbio-For, which allowed us to compute radiobiological models for various endpoints of the primary dose-limiting organ. This comprehensive approach enabled us to effectively evaluate and predict both early and late effects. In another section of our analysis, we conducted a comparison of our developed program with the RADBIOMOD and BioSuite software. Our analysis indicated that the NTCP effectively models the differences in dose constraints across the three models: RS, LKB, and LM. The RS model demonstrates a superior capability in characterizing both late and early effects. Furthermore, the TCP values derived from the models: MP, SP, and LM showed promising expectations for local tumor control following treatment planning, exceeding 90%. Current radiobiological assessments provide clear insights into which organs are particularly sensitive and critical during the treatment plan validation process, offering a more precise understanding than dosimetric indices. The comparison criterion of the calculated dose constraint with TPS to the relevant clinical dose constraint for each OAR in high-grade NPC and prostate cancer was a valuable predictive tool for assessing the reliability of the calculations of expected early and late complications; This important outcome finds its direct application in personalized radiotherapy in preventing long-term toxicities and is a valuable tool for the physicist before the treatment. In addition, Our optimization tool for isotoxic plans was revealed to be powerful in predicting alternate fractionation and reducing the fraction number.
URI/URL: http://dspace.univ-setif.dz:8888/jspui/handle/123456789/6315
Collection(s) :Thèses de doctorat

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