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Titre :
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Radiobiological assessment of radiotherapy treatment plans
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Auteurs :
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Narimane Dahdouh, Auteur ;
Z. Chaoui, Directeur de thèse
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Type de document :
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document électronique
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Editeur :
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Sétif : Université Ferhat Abbas faculté des sciences département de physique, 2025
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ISBN/ISSN/EAN :
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E-TH/2505
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Format :
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1vol. (127 f.) / ill.en coul.
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Note générale :
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Bibliogr.
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Langues:
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Anglais
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Mots-clés:
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Radiobiology
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Radiotherapy
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Résumé :
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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.
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Côte titre :
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E-TH/2505
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Accueil
