Scintigraphic load of bone disease evaluated by DASciS software as a survival predictor in metastatic castration-resistant prostate cancer patients candidates to 223RaCl treatment
Authors
Viviana Frantellizzi
viviana.frantellizzi@uniroma1.it
Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy
Arianna Pani
Postgraduate School of Clinical Pharmacology and Toxicology, University of Milan “Statale”, Milan, Italy
Maria Dea Ippoliti
Department of Radiological Sciences, Oncology and Anatomical Pathology , Sapienza University of Rome, Rome, Italy
Alessio Farcomeni
Department of Public Health and Infectious Diseases, “Sapienza” University of Rome, Rome, Italy
Irvin Aloise
Department of Computer, Control, and Management Engineering Antonio Ruberti, Sapienza University of Rome, Rome, Italy
Mirco Colosi
Department of Computer, Control, and Management Engineering Antonio Ruberti, Sapienza University of Rome, Rome, Italy
Claudia Polito
Specialty School in Medical Physics, Department of Medico-Surgical Sciences and Biotechnologies, University La Sapienza, Rome, Italy
Roberto Pani
Specialty School in Medical Physics, Department of Medico-Surgical Sciences and Biotechnologies, University La Sapienza, Rome, Italy
Giuseppe De Vincentis
Department of Radiological Sciences, Oncology and Anatomical Pathology , Sapienza University of Rome, Rome, Italy
Language: English
Page range: 40 - 47
Submitted on: Jun 18, 2019
Accepted on: Oct 22, 2019
Published on: Dec 19, 2019
Published by: Association of Radiology and Oncology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Related subjects:
© 2019 Viviana Frantellizzi, Arianna Pani, Maria Dea Ippoliti, Alessio Farcomeni, Irvin Aloise, Mirco Colosi, Claudia Polito, Roberto Pani, Giuseppe De Vincentis, published by Association of Radiology and Oncology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.