Alongi, Pierpaolo http://orcid.org/0000-0002-8397-1640
Stefano, Alessandro
Comelli, Albert
Laudicella, Riccardo
Scalisi, Salvatore
Arnone, Giuseppe
Barone, Stefano
Spada, Massimiliano
Purpura, Pierpaolo
Bartolotta, Tommaso Vincenzo
Midiri, Massimo
Lagalla, Roberto
Russo, Giorgio
Article History
Received: 1 September 2020
Revised: 10 November 2020
Accepted: 7 December 2020
First Online: 14 January 2021
Compliance with ethical standards
:
: The scientific guarantor of this publication is Pierpaolo Alongi, Head of Nuclear Medicine Unit at Fondazione Istituto Giglio of Cefalù, Italy.
: The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.
: Two authors have significant statistical expertise (Alessandro Stefano, Albert Comelli).
: Written informed consent was obtained from all subjects (patients) in this study.
: Institutional Review Board approval was obtained.
: Some study subjects or cohorts have been previously reported as SNMMI 2020 Congress presentation in “Alongi P, Stefano A, Comelli A, et al (2020) New Artificial intelligence model for 18F-Choline PET/CT in evaluation of high-risk prostate cancer outcome: texture analysis and radiomics features classification for prediction of disease progression. <i>J Nucl Med</i> 61:1303–1303.”
: • retrospective• diagnostic or prognostic study/observational/experimental• performed at one institution