Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Carlo, Cavedon"'
Autor:
Stefano Tamburin, Fabio Paio, Tommaso Bovi, Giorgia Bulgarelli, Michele Longhi, Roberto Foroni, Elisa Mantovani, Paolo Maria Polloniato, Micaela Tagliamonte, Emanuele Zivelonghi, Chiara Zucchella, Carlo Cavedon, Antonio Nicolato, Benedetto Petralia, Francesco Sala, Bruno Bonetti, Michele Tinazzi, Stefania Montemezzi, Giuseppe Kenneth Ricciardi
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
IntroductionMagnetic resonance–guided focused ultrasound (MRgFUS) thalamotomy of the ventralis intermediate (Vim) nucleus is an “incisionless” treatment for medically refractory essential tremor (ET). We present data on 49 consecutive cases of
Externí odkaz:
https://doaj.org/article/95a6b7180cfc42c29300d7f0a1a77990
Autor:
Salvatore Paiella, Giuseppe Malleo, Nicola Simoni, Renato Micera, Stefania Guariglia, Carlo Cavedon, Giovanni Marchegiani, Alessandro Esposito, Luca Landoni, Luca Casetti, Massimiliano Tuveri, Michele Milella, Erica Secchettin, Gessica Manzini, Chiara Bovo, Matteo De Pastena, Martina Fontana, Roberto Salvia, Renzo Mazzarotto, Claudio Bassi
Publikováno v:
BMC Cancer, Vol 21, Iss 1, Pp 1-8 (2021)
Abstract Background The current management guidelines recommend that patients with borderline resectable pancreatic adenocarcinoma (BRPC) should initially receive neoadjuvant chemotherapy. The addition of advanced radiation therapy modalities, includ
Externí odkaz:
https://doaj.org/article/ab9b18350a4a446b89b3789e7bd7f7a9
Autor:
Gabriella Rossi, Nicola Simoni, Salvatore Paiella, Roberto Rossi, Martina Venezia, Renato Micera, Giuseppe Malleo, Roberto Salvia, Tommaso Giuliani, Anthony Di Gioia, Alessandra Auriemma, Michele Milella, Stefania Guariglia, Carlo Cavedon, Claudio Bassi, Renzo Mazzarotto
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
Background and ObjectiveTo assess the efficacy of a Risk-Adapted Ablative Radiotherapy (RAdAR) approach, after intensive induction chemotherapy, in patients with locally advanced pancreatic cancer (LAPC).Material and MethodsPatients with LAPC who rec
Externí odkaz:
https://doaj.org/article/b06b2027ddce4c29896cd85f626a9145
Autor:
Stefania Montemezzi, Giulio Benetti, Maria Vittoria Bisighin, Lucia Camera, Chiara Zerbato, Francesca Caumo, Elena Fiorio, Sara Zanelli, Michele Zuffante, Carlo Cavedon
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
ObjectivesTo test whether 3T MRI radiomics of breast malignant lesions improves the performance of predictive models of complete response to neoadjuvant chemotherapy when added to other clinical, histological and radiological information.MethodsWomen
Externí odkaz:
https://doaj.org/article/5cd63f2588bb4c71a92df5a47a49b04a
Autor:
Renzo Mazzarotto, Nicola Simoni, Stefania Guariglia, Gabriella Rossi, Renato Micera, Riccardo De Robertis, Alessio Pierelli, Emanuele Zivelonghi, Giuseppe Malleo, Salvatore Paiella, Roberto Salvia, Carlo Cavedon, Michele Milella, Claudio Bassi
Publikováno v:
Frontiers in Oncology, Vol 10 (2020)
Background and ObjectiveTo assess the dosimetric feasibility of a stereotactic body radiotherapy (SBRT) dose escalated protocol, with a simultaneous integrated boost (SIB) and a simultaneous integrated protection (SIP) approach, in patients with loca
Externí odkaz:
https://doaj.org/article/fb39142b61a44824bc99b6a9e2fb16bd
Autor:
Nicola Simoni, Gabriella Rossi, Giulio Benetti, Michele Zuffante, Renato Micera, Michele Pavarana, Stefania Guariglia, Emanuele Zivelonghi, Valentina Mengardo, Jacopo Weindelmayer, Simone Giacopuzzi, Giovanni de Manzoni, Carlo Cavedon, Renzo Mazzarotto
Publikováno v:
Frontiers in Oncology, Vol 10 (2020)
Background and ObjectiveThe aim of this study was to assess the ability of Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography (18F-FDG PET/CT) to provide functional information useful in predicting pathological response to an intensi
Externí odkaz:
https://doaj.org/article/0a4360dfbed441928644bc5bb3d32ea6
Autor:
Carlo Cavedon, Nicolò Cardobi, Cinzia Arena, Stefania Montemezzi, Giuseppe Cardano, Giulio Benetti, Claudio Micheletto
Publikováno v:
La Radiologia Medica
Purpose To classify COVID-19, COVID-19-like and non-COVID-19 interstitial pneumonia using lung CT radiomic features. Material and Methods CT data of 115 patients with respiratory symptoms suspected for COVID-19 disease were retrospectively analyzed.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c038c0af7cd320b86833d5cba68c95f3
https://doi.org/10.1007/s11547-021-01370-8
https://doi.org/10.1007/s11547-021-01370-8
Autor:
Francesco Sardanelli, Luca Alessandro Carbonaro, Stefania Montemezzi, Carlo Cavedon, Rubina Manuela Trimboli
Publikováno v:
Frontiers in Oncology, Vol 6 (2016)
Magnetic resonance imaging (MRI) of the breast gained a role in clinical practice thanks to the optimal sensitivity of contrast-enhanced (CE) protocols. This approach, firstly proposed thirty years ago and further developed as bilateral highly spatia
Externí odkaz:
https://doaj.org/article/12c1970249b24927a15fc26c590d9a30
Autor:
Carlo Cavedon, N.L.V. Cernusco, Renzo Mazzarotto, Michele Milella, G. Rossi, Alessandro Muraglia, Mario De Liguoro, Stefania Guariglia, M. Pavarana, R. Micera, N. Simoni, Maria Grazia Giri
Publikováno v:
Anticancer Research. 40:5901-5907
Background/aim To assess predictors of local control (LC) for stereotactic ablative radiotherapy (SAbR) in pulmonary oligometastatic disease (OMD) from gastrointestinal (GI) malignancies. Patients and methods Patients with pulmonary OMD treated with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b763dfda246dea6b4338443ce4f5d8f9
https://doi.org/10.21873/anticanres.14610
https://doi.org/10.21873/anticanres.14610
Autor:
Luisa Altabella, Giulio Benetti, Lucia Camera, Giuseppe Cardano, Stefania Montemezzi, Carlo Cavedon
Publikováno v:
Physics in medicine and biology. 67(15)
In the artificial intelligence era, machine learning (ML) techniques have gained more and more importance in the advanced analysis of medical images in several fields of modern medicine. Radiomics extracts a huge number of medical imaging features re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4feb1bcbf974acd480ea5330b1618804
https://pubmed.ncbi.nlm.nih.gov/35772379
https://pubmed.ncbi.nlm.nih.gov/35772379