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Implications of reconstruction protocol for histo-biological characterisation of breast cancers using FDG-PET radiomics

Authors :
Nicolas Aide
Jean-Michel Grellard
Thibault Salomon
Cécile Blanc-Fournier
Charline Lasnon
Christelle Levy
Service de médecine nucléaire [CHU Caen]
Université de Caen Normandie (UNICAEN)
Normandie Université (NU)-Normandie Université (NU)-CHU Caen
Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Tumorothèque de Caen Basse-Normandie (TCBN)
Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers (ANTICIPE)
Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Tumorothèque de Caen Basse-Normandie (TCBN)-Centre Régional de Lutte contre le Cancer François Baclesse [Caen] (UNICANCER/CRLC)
UNICANCER-Tumorothèque de Caen Basse-Normandie (TCBN)-Normandie Université (NU)-UNICANCER-Institut National de la Santé et de la Recherche Médicale (INSERM)
Laboratoire d'Anatomie Pathologique [CHU Caen]
Unité de Biostatistique et de Recherche Clinique (UBRC)
Centre Régional de Lutte contre le Cancer François Baclesse [Caen] (UNICANCER/CRLC)
UNICANCER-Tumorothèque de Caen Basse-Normandie (TCBN)-Normandie Université (NU)
Bodescot, Myriam
Source :
EJNMMI Research, EJNMMI Research, SpringerOpen, 2018, 8 (1), pp.114. ⟨10.1186/s13550-018-0466-5⟩, EJNMMI Research, Vol 8, Iss 1, Pp 1-11 (2018)
Publication Year :
2018
Publisher :
HAL CCSD, 2018.

Abstract

Background The aim of this study is to determine if the choice of the 18F-FDG-PET protocol, especially matrix size and reconstruction algorithm, is of importance to discriminate between immunohistochemical subtypes (luminal versus non-luminal) in breast cancer with textural features (TFs). Procedures Forty-seven patients referred for breast cancer staging in the framework of a prospective study were reviewed as part of an ancillary study. In addition to standard PET imaging (PSFWholeBody), a high-resolution breast acquisition was performed and reconstructed with OSEM and PSF (OSEMbreast/PSFbreast). PET standard metrics and TFs were extracted. For each reconstruction protocol, a prediction model for tumour classification was built using a random forests method. Spearman coefficients were used to seek correlation between PET metrics. Results PSFWholeBody showed lower numbers of voxels within VOIs than OSEMbreast and PSFbreast with median (interquartile range) equal to 130 (43–271), 316 (167–1042), 367 (107–1221), respectively (p

Details

Language :
English
ISSN :
2191219X
Database :
OpenAIRE
Journal :
EJNMMI Research, EJNMMI Research, SpringerOpen, 2018, 8 (1), pp.114. ⟨10.1186/s13550-018-0466-5⟩, EJNMMI Research, Vol 8, Iss 1, Pp 1-11 (2018)
Accession number :
edsair.doi.dedup.....bce0abd30e9e0ad8bf11e47413fea43c
Full Text :
https://doi.org/10.1186/s13550-018-0466-5⟩