A. C. Traino
29 Papers
84 Citations
A. C. Traino is an academic researcher. The author has contributed to research in topics: Medicine & Graves' disease. The author has an hindex of 7, co-authored 24 publications.
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Papers
Ion recombination correction for very high dose-per-pulse high-energy electron beams.
TL;DR: The dependence of ksat on the dose-per-pulse value is derived, based on the general equation that describes the ion recombination in the Boag theory, and a new equation for ksat, depending on known or measurable quantities, is presented.
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Comparison of different thyroid committed doses in radioiodine therapy for Graves' hyperthyroidism
Mariano Grosso,A. C. Traino,Giuseppe Boni,Elena Banti,Mauro Della Porta,Gianpiero Manca,Duccio Volterrani,Serena Chiacchio,Abedallatif AlSharif,Elisa Borsò,R Raschillà,Fabio Di Martino,Giuliano Mariani +12 more
TL;DR: The results obtained in this study show no correlation between dose and outcome of radioiodine therapy (in terms of persistent hyperthyroidism) for thyroid absorbed doses > or =150 Gy, while confirming the relation between the thyroid absorbed dose and the incidence of hypothyroidism in GD patients.
Influence of thyroid volume reduction on calculated dose in radioiodine therapy of Graves' hyperthyroidism.
TL;DR: It is concluded that the consideration of thyroid mass reduction is important for an accurate estimation of the calculated dose in patients treated with 131I therapy.
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Study of the correlation between administered activity and radiation committed dose to the thyroid in 131I therapy of Graves' disease.
TL;DR: The radiation committed dose and the radioiodine activity to administer were calculated using a new, very simple algorithm and a comparison between the values calculated by this new algorithm and the old, classical Marinelli-Quimby algorithm shows that the new method is more accurate.
17
Radiomics of Patients with Locally Advanced Rectal Cancer: Effect of Preprocessing on Features Estimation from Computed Tomography Imaging
S Linsalata,R. Borgheresi,Daniela Marfisi,Patrizio Barca,Aldo Sainato,Fabiola Paiar,E. Nezri,A. C. Traino,Marco Giannelli +8 more
TL;DR: In CT imaging of patients with LARC, the estimate of textural features, as well as of first-order features to a lesser extent, is appreciably biased by preprocessing, so this should be taken into account when planning clinical or research studies, and when comparing results from different studies and performing multicenter studies.