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Akademický článek

Synthetic CT in Carbon Ion Radiotherapy of the Abdominal Site

Autor: Giovanni Parrella, Alessandro Vai, Anestis Nakas, Noemi Garau, Giorgia Meschini, Francesca Camagni, Silvia Molinelli, Amelia Barcellini, Andrea Pella, Mario Ciocca, Viviana Vitolo, Ester Orlandi, Chiara Paganelli, Guido Baroni

Publikováno v: Bioengineering, Vol 10, Iss 2, p 250 (2023)

The generation of synthetic CT for carbon ion radiotherapy (CIRT) applications is challenging, since high accuracy is required in treatment planning and delivery, especially in an anatomical site as complex as the abdomen. Thirty-nine abdominal MRI-C

Externí odkaz: https://doaj.org/article/5faaf4f71a804c5fbf0d090970149188

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External validation of radiomics‐based predictive models in low‐dose CT screening for early lung cancer diagnosis

Autor: Chiara Paganelli, Wei Lu, Wookjin Choi, Noemi Garau, Massimo Bellomi, Sadegh R Alam, Guido Baroni, Paul Summers, Cristiano Rampinelli, Cristiana Fanciullo

Publikováno v: Med Phys

Purpose Low-dose CT screening allows early lung cancer detection, but is affected by frequent false positive results, inter/intra observer variation and uncertain diagnoses of lung nodules. Radiomics-based models have recently been introduced to over

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34b02526eec0464432c38b2f127653f9
https://doi.org/10.1002/mp.14308

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Integrating Biological and Radiological Data in a Structured Repository: a Data Model Applied to the COSMOS Case Study

Autor: Noemi Garau, Alessandro Orro, Paul Summers, Lorenza De Maria, Raffaella Bertolotti, Danny Bassis, Marta Minotti, Elvio De Fiori, Guido Baroni, Chiara Paganelli, Cristiano Rampinelli

Publikováno v: Journal of digital imaging. 35(4)

Integrating the information coming from biological samples with digital data, such as medical images, has gained prominence with the advent of precision medicine. Research in this field faces an ever-increasing amount of data to manage and, as a cons

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::209e220d8e667dc384aef2a325c16093
https://pubmed.ncbi.nlm.nih.gov/35296941

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The Challenge of Choosing the Best Classification Method in Radiomic Analyses: Recommendations and Applications to Lung Cancer CT Images

Autor: Sara Gandini, Giulia Tini, Francesca Botta, Pier Giuseppe Pelicci, Massimo Bellomi, Cristiano Rampinelli, Federica Bellerba, Luca Mazzarella, Noemi Garau, Giuliana Lo Presti, Federica Corso, Sara Raimondi, Simone Pietro De Angelis, Chiara Paganelli, Lisa Rinaldi, Marta Cremonesi, Daniela Origgi, Stefania Rizzo

Publikováno v: Cancers
Volume 13
Issue 12
Cancers, Vol 13, Iss 3088, p 3088 (2021)

Simple Summary Radiomics aims to extract high-dimensional features from clinical images and associate them to clinical outcomes. These associations may be further investigated with machine learning models; however, guidelines on the most suitable met

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d0178178a1f870136f04421c4603d5d

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A segmentation tool for pulmonary nodules in lung cancer screening: Testing and clinical usage

Autor: Cristiano Rampinelli, Marta Minotti, Danny Bassis, Guido Baroni, Chiara Paganelli, Noemi Garau, Paul Summers, Elvio De Fiori, Carolina Lanza

Purpose With the future goal of defining a large dataset based on low-dose CT with labelled pulmonary lesions for lung cancer screening (LCS) research, the aim of this work is to propose and evaluate into a clinical context a tool for semi-automatic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86202457fe1cb55a9504f5857b21ec00
http://hdl.handle.net/11311/1202340

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A ROI-based global motion model established on 4DCT and 2D cine-MRI data for MRI-guidance in radiation therapy

Autor: Giorgia Meschini, Marco Riboldi, Riccardo Via, Danny Lee, Guido Baroni, Chiara Paganelli, Paul J. Keall, Noemi Garau

Publikováno v: Physics in medicine and biology. 64(4)

In-room magnetic resonance imaging (MRI) allows the acquisition of fast 2D cine-MRI centered in the tumor for advanced motion management in radiotherapy. To achieve 3D information during treatment, patient-specific motion models can be considered the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b769e9fd2f4137c23e060170c2c71dde
https://pubmed.ncbi.nlm.nih.gov/30625459

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Time-resolved volumetric MRI in MRI-guided radiotherapy: An in silico comparative analysis

Autor: Giulia Buizza, Marco Riboldi, Giorgia Meschini, Guido Baroni, Chiara Paganelli, Paul J. Keall, S. Portoso, Noemi Garau, Riccardo Via

Publikováno v: Physics in Medicine & Biology

MRI-treatment units enable 2D cine-MRI centred in the tumour for motion detection in radiotherapy, but they lack 3D information due to spatio-temporal limits. To derive time-resolved 3D information, different approaches have been proposed in the lite

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::434a14755859bfdd251d50389b8a3e80
http://hdl.handle.net/11311/1119096

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