Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Marta Paiusco"'
Autor:
Alessandra Zorz, Marco Andrea Rossato, Paolo Turco, Luca Maria Colombo Gomez, Andrea Bettinelli, Francesca De Monte, Marta Paiusco, Pietro Zucchetta, Diego Cecchin
Publikováno v:
EJNMMI Physics, Vol 11, Iss 1, Pp 1-19 (2024)
Abstract Background The application of semi-conductor detectors such as cadmium–zinc–telluride (CZT) in nuclear medicine improves extrinsic energy resolution and count sensitivity due to the direct conversion of gamma photons into electric signal
Externí odkaz:
https://doaj.org/article/7c9e0cb00a344608852f210d2695a53d
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-8 (2022)
Measurement(s) Radiomic Features Technology Type(s) Digital Phantoms and Radiomic Software Tools
Externí odkaz:
https://doaj.org/article/2cec41b3dd0c40e79a0a363a388681fa
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract In this study, we tested and compared radiomics and deep learning-based approaches on the public LUNG1 dataset, for the prediction of 2-year overall survival (OS) in non-small cell lung cancer patients. Radiomic features were extracted from
Externí odkaz:
https://doaj.org/article/12f87d699dc64749bac7b7827428e01d
Autor:
Samuele Cavinato, Andrea Bettinelli, Francesca Dusi, Marco Fusella, Alessandra Germani, Francesca Marturano, Marta Paiusco, Nicola Pivato, Marco Andrea Rossato, Alessandro Scaggion
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 26, Iss , Pp 100435- (2023)
Background and purpose: Prediction models may be reliable decision-support tools to reduce the workload associated with the measurement-based patient-specific quality assurance (PSQA) of radiotherapy plans. This study compared the effectiveness of th
Externí odkaz:
https://doaj.org/article/62253469c7f44853a345f37c5281d15c
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/0694241f1901457c91873ac1fe19a4c1
Autor:
Marco Fusella, Samuele Cavinato, Alessandra Germani, Marta Paiusco, Nicola Pivato, Marco Andrea Rossato, Anthony Scott, Alessandro Scaggion
Publikováno v:
Radiation Oncology, Vol 16, Iss 1, Pp 1-7 (2021)
Abstract Purpose This study presents patient-specific quality assurance (QA) results from the first 395 clinical cases for the new helical TomoTherapy® platform (Radixact) coupled with dedicated Precision TPS. Methods The passing rate of the Gamma I
Externí odkaz:
https://doaj.org/article/20894cc3777748a5baee70b4f93c0a5a
Autor:
Matteo Sepulcri, Marco Fusella, Lea Cuppari, Alessandra Zorz, Marta Paiusco, Laura Evangelista
Publikováno v:
Clinical and Translational Radiation Oncology, Vol 30, Iss , Pp 71-77 (2021)
Purpose: This study aims to establish whether metabolic parameters obtainable from FCH PET/CT can predict long-term response to radical radiotherapy (rRT) in patients with localized prostate cancer (PCa). Methods: Drawing on a single-center database,
Externí odkaz:
https://doaj.org/article/9e3f2224d4f1498d91559524ae2d6558
Autor:
Priscilla Guglielmo, Francesca Marturano, Andrea Bettinelli, Matteo Sepulcri, Giulia Pasello, Michele Gregianin, Marta Paiusco, Laura Evangelista
Publikováno v:
Diagnostics, Vol 13, Iss 13, p 2153 (2023)
Lung cancer represents the second most common malignancy worldwide and lymph node (LN) involvement serves as a crucial prognostic factor for tailoring treatment approaches. Invasive methods, such as mediastinoscopy and endobronchial ultrasound-guided
Externí odkaz:
https://doaj.org/article/9a41bae32d384620a6e71f1d858b3526
Autor:
Francesca Marturano, Priscilla Guglielmo, Andrea Bettinelli, Fabio Zattoni, Giacomo Novara, Alessandra Zorz, Matteo Sepulcri, Michele Gregianin, Marta Paiusco, Laura Evangelista
Publikováno v:
European Radiology.
Aim To study the feasibility of radiomic analysis of baseline [18F]fluoromethylcholine positron emission tomography/computed tomography (PET/CT) for the prediction of biochemical recurrence (BCR) in a cohort of intermediate and high-risk prostate can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ae701c0457c9123319f4a6edc2dfc2f
https://doi.org/10.1007/s00330-023-09642-9
https://doi.org/10.1007/s00330-023-09642-9
Publikováno v:
Journal of Applied Clinical Medical Physics. 24
An unnecessary amount of complexity in radiotherapy plans affects the efficiency of the treatments, increasing the uncertainty of dose deposition and its susceptibility to anatomical changes or setup errors. To date, tools for quantitatively assessin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e73e851cddc40827a16a2d147b2ffce7
https://doi.org/10.1002/acm2.13781
https://doi.org/10.1002/acm2.13781