Radiobiological assessment of radiotherapy treatment plans

dc.contributor.authorDAHDOUH , Narimane
dc.contributor.authorChaoui , Z. Director
dc.date.accessioned2026-06-21T12:30:08Z
dc.date.issued2025
dc.description.abstractIn 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.
dc.description.sponsorshipEn plus de l'évaluation dosimétrique des plans de traitement, nous avons effectué une évaluation radiobiologique à l'aide des indices NTCP, TCP et UTCP. Cette évaluation est intégrée dans le programme développé, Radbio-For, qui nous a permis de calculer des modèles radiobiologiques pour divers paramètres de l'organe primaire limitant la dose. Cette approche globale nous a permis d'évaluer et de prédire efficacement les effets précoces et tardifs. Dans une autre section de notre analyse, nous avons effectué une comparaison de notre programme développé avec les logiciels RADBIOMOD et BioSuite. Notre analyse a indiqué que le NTC P modélise efficacement les différences de contraintes de dose entre les trois modèles : RS, LKB et LM. Le modèle RS démontre une capacité supérieure à caractériser les effets tardifs et précoces. En outre, les valeurs TCP dérivées des modèles : MP, SP et LM ont montré des attentes prometteuses pour le contrôle local de la tumeur après la planification du traitement, dépassant 90 %. Les évaluations radiobiologiques actuelles fournissent des indications claires sur les organes particulièrement sensibles et critiques au cours du processus de validation du plan de traitement, offrant une compréhension plus précise que les indices dosimétriques.
dc.identifier.urihttps://repository.univ-setif.dz/handle/123456789/1155
dc.language.isoen
dc.publisherSetif 1 University - Ferhat ABBAS , Faculty of Sciences
dc.subjectRadiobiology
dc.subjectradiotherapy
dc.subjectfractionation
dc.subjecttreatment plan
dc.subjecttumor
dc.subjecttumor control probability
dc.subjectnormal tissue complication probability.
dc.titleRadiobiological assessment of radiotherapy treatment plans
dc.typeThesis

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
E-TH 2505 Radiobiological assessment of radiotherapy DAHDOUH Narimane.pdf
Size:
2.99 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description: