Titre :	Radioiodine Therapy: Comparison of Optimizing Therapeutic Activity Calculation Models
Type de document :	document électronique
Auteurs :	Alaâ Errehmane Mihoubi, Auteur ; Zine El Abidine Chaoui, Directeur de thèse
Editeur :	Setif:UFA
Année de publication :	2025
Importance :	1 vol (68 f.)
Format :	29 cm
Langues :	Anglais (eng)
Catégories :	Thèses & Mémoires:Physique
Mots-clés :	Graves’ disease Radioiodine therapy Thyroid volume Dosimetric models
Index. décimale :	530 - Physique
Résumé :	Introduction: Graves’ disease requires tailored radioiodine (¹³¹I) therapy due to variable thyroid volume and iodine uptake. Methods: Retrospective study on 4 patients at Annaba Cancer Center. Thyroid volume was measured by ultrasound; iodine uptake and effective half-life (Teff) via Atomlab 960. Compared four models: Marinelli formula, fixed-dose, non-dosimetric, and MIRD schema. Results: MIRD model was most precise (3.8–14.1 mCi), adjusting for gland size and uptake. Marinelli provided practical balance (3.4–9.3 mCi). Non-dosimetric models risked underdosing small glands. Fixed protocols lacked flexibility for prolonged Teff. Conclusions: MIRD offers best personalization but needs advanced tools. Marinelli is suitable where resources are limited. AI-based dosimetry may improve future precision.
Note de contenu :	Sommaire
Côte titre :	MAPH/0713

Radioiodine Therapy: Comparison of Optimizing Therapeutic Activity Calculation Models [document électronique] / Alaâ Errehmane Mihoubi, Auteur ; Zine El Abidine Chaoui, Directeur de thèse . - [S.l.] : Setif:UFA, 2025 . - 1 vol (68 f.) ; 29 cm.
Langues : Anglais (eng)

Catégories :	Thèses & Mémoires:Physique
Mots-clés :	Graves’ disease Radioiodine therapy Thyroid volume Dosimetric models
Index. décimale :	530 - Physique
Résumé :	Introduction: Graves’ disease requires tailored radioiodine (¹³¹I) therapy due to variable thyroid volume and iodine uptake. Methods: Retrospective study on 4 patients at Annaba Cancer Center. Thyroid volume was measured by ultrasound; iodine uptake and effective half-life (Teff) via Atomlab 960. Compared four models: Marinelli formula, fixed-dose, non-dosimetric, and MIRD schema. Results: MIRD model was most precise (3.8–14.1 mCi), adjusting for gland size and uptake. Marinelli provided practical balance (3.4–9.3 mCi). Non-dosimetric models risked underdosing small glands. Fixed protocols lacked flexibility for prolonged Teff. Conclusions: MIRD offers best personalization but needs advanced tools. Marinelli is suitable where resources are limited. AI-based dosimetry may improve future precision.
Note de contenu :	Sommaire
Côte titre :	MAPH/0713