Lucia, François http://orcid.org/0000-0001-7286-1350
Visvikis, Dimitris
Vallières, Martin
Desseroit, Marie-Charlotte
Miranda, Omar
Robin, Philippe
Bonaffini, Pietro Andrea
Alfieri, Joanne
Masson, Ingrid
Mervoyer, Augustin
Reinhold, Caroline
Pradier, Olivier
Hatt, Mathieu
Schick, Ulrike
Article History
Received: 29 August 2018
Accepted: 27 November 2018
First Online: 7 December 2018
Compliance with ethical standards
:
: Authors François Lucia, Dimitris Visvikis, Martin Vallières, Marie-Charlotte Desseroit, Omar Miranda, Philippe Robin, Pietro Andrea Bonaffini, Joanne Alfieri, Ingrid Masson, Augustin Mervoyer, Caroline Reinhold, Olivier Pradier, Mathieu Hatt, Ulrike Schick declare that they have no conflict of interest.No financial support was received for this work.There are no potential conflicts of interest to disclose.
: All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.
: Informed consent was obtained from all individual participants included in the study.
: Our findings have a direct impact on patient management in clinical practice. A flowchart demonstrates how to exploit the two radiomics features necessary to guide and personalize treatment: the textural feature (Entropy<sub>GLCM</sub>) extracted from ADC maps derived from DWI-MRI acquisitions can identify patients with low risk of recurrence, for which it could be advised to avoid adjuvant treatment. Among the patients with a higher risk of recurrence, the second textural feature (GLNU<sub>GLRLM</sub>) extracted from the FDG PET can differentiate between patients with a risk of distant recurrence, for which a systemic adjuvant treatment or more intensive surveillance could be recommended, and those with locoregional relapse, for which a locoregional adjuvant treatment might be more beneficial. Both MRI and PET images are routinely acquired for LACC patients, and the radiomics features have standardized definition with the IBSI guidelines, therefore anyone could easily evaluate our models in their data.