RT Journal Article
T1 A Systematic Review of PET Textural Analysis and Radiomics in Cancer
A1 Piñeiro Fiel, Manuel
A1 Moscoso Rial, Alexis
A1 Pubul, Virginia
A1 Ruibal Morell, Álvaro
A1 Silva Rodríguez, Jesús
A1 Aguiar Fernández, Pablo
K1 PET
K1 Radiomics
K1 Heterogeneity
K1 Textural analysis
K1 Cancer
AB Background: Although many works have supported the utility of PET radiomics, several authors have raised concerns over the robustness and replicability of the results. This study aimed to perform a systematic review on the topic of PET radiomics and the used methodologies. Methods: PubMed was searched up to 15 October 2020. Original research articles based on human data specifying at least one tumor type and PET image were included, excluding those that apply only first-order statistics and those including fewer than 20 patients. Each publication, cancer type, objective and several methodological parameters (number of patients and features, validation approach, among other things) were extracted. Results: A total of 290 studies were included. Lung (28%) and head and neck (24%) were the most studied cancers. The most common objective was prognosis/treatment response (46%), followed by diagnosis/staging (21%), tumor characterization (18%) and technical evaluations (15%). The average number of patients included was 114 (median = 71; range 20–1419), and the average number of high-order features calculated per study was 31 (median = 26, range 1–286). Conclusions: PET radiomics is a promising field, but the number of patients in most publications is insufficient, and very few papers perform in-depth validations. The role of standardization initiatives will be crucial in the upcoming years
PB MDPI
YR 2021
FD 2021
LK http://hdl.handle.net/10347/26710
UL http://hdl.handle.net/10347/26710
LA eng
NO Diagnostics 2021, 11(2), 380; https://doi.org/10.3390/diagnostics11020380
NO This research was partially funded by DTS17/00138 (Instituto de Salud Carlos III) and ED431F 2017/04 project (GAIN-Xunta de Galicia)
DS Minerva
RD 28 abr 2026