Open AccessRobustness of intratumour 18F-FDG PET uptake heterogeneity quantification for therapy response prediction in oesophageal carcinoma
Author(s) -
Mathieu Hatt,
Florent Tixier,
Catherine Cheze Le Rest,
Olivier Pradier,
Dimitris Visvikis
Publication year - 2013
Publication title -
european journal of nuclear medicine and molecular imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.313
H-Index - 163
eISSN - 1619-7089
pISSN - 1619-7070
DOI - 10.1007/s00259-013-2486-8
Subject(s) - homogeneity (statistics) , thresholding , reproducibility , entropy (arrow of time) , nuclear medicine , robustness (evolution) , mathematics , bayesian probability , medicine , computer science , statistics , artificial intelligence , pattern recognition (psychology) , biochemistry , chemistry , quantum mechanics , image (mathematics) , gene , physics
Intratumour uptake heterogeneity in PET quantified in terms of textural features for response to therapy has been investigated in several studies, including assessment of their robustness for reconstruction and physiological reproducibility. However, there has been no thorough assessment of the potential impact of preprocessing steps on the resulting quantification and its predictive value. The goal of this work was to assess the robustness of PET heterogeneity in textural features for delineation of functional volumes and partial volume correction (PVC).
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom