TY - JOUR
T1 - Post-radiochemotherapy PET radiomics in head and neck cancer - The influence of radiomics implementation on the reproducibility of local control tumor models
AU - Bogowicz, Marta
AU - Leijenaar, Ralph T. H.
AU - Tanadini-Lang, Stephanie
AU - Riesterer, Oliver
AU - Pruschy, Martin
AU - Studer, Gabriela
AU - Unkelbach, Jan
AU - Guckenberger, Matthias
AU - Konukoglu, Ender
AU - Lambin, Philippe
PY - 2017/12
Y1 - 2017/12
N2 - Purpose: This study investigated an association of post-radiochemotherapy (RCT) PET radiomics with local tumor control in head and neck squamous cell carcinoma (HNSCC) and evaluated the models against two radiomics software implementations.Materials and methods: 649 features, available in two radiomics implementations and based on the same definitions, were extracted from HNSCC primary tumor region in 18F-FDG PET scans 3 months post definitive RCT (training cohort n = 128, validation cohort n = 50) and compared using the intraclass correlation coefficient (ICC). Local recurrence models were trained, separately for both implementations, using principal component analysis (PCA) and the least absolute shrinkage and selection operator. The reproducibility of the concordance indexes (CI) in univariable Cox regression for features preselected in PCA and the final multivariable models was investigated using respective features from the other implementation.Results: Only 80 PET radiomic features yielded ICC > 0.8 in the comparison between the implementations. The change of implementation caused high variability of CI in the univariable analysis. However, both final multivariable models performed equally well in the training and validation cohorts (CI > 0.7) independent of radiomics implementation.Conclusion: The two post-RCT PET radiomic models, based on two different software implementations, were prognostic for local tumor control in HNSCC. However, 88% of the features was not reproducible between the implementations. (c) 2017 Elsevier B.V. All rights reserved.
AB - Purpose: This study investigated an association of post-radiochemotherapy (RCT) PET radiomics with local tumor control in head and neck squamous cell carcinoma (HNSCC) and evaluated the models against two radiomics software implementations.Materials and methods: 649 features, available in two radiomics implementations and based on the same definitions, were extracted from HNSCC primary tumor region in 18F-FDG PET scans 3 months post definitive RCT (training cohort n = 128, validation cohort n = 50) and compared using the intraclass correlation coefficient (ICC). Local recurrence models were trained, separately for both implementations, using principal component analysis (PCA) and the least absolute shrinkage and selection operator. The reproducibility of the concordance indexes (CI) in univariable Cox regression for features preselected in PCA and the final multivariable models was investigated using respective features from the other implementation.Results: Only 80 PET radiomic features yielded ICC > 0.8 in the comparison between the implementations. The change of implementation caused high variability of CI in the univariable analysis. However, both final multivariable models performed equally well in the training and validation cohorts (CI > 0.7) independent of radiomics implementation.Conclusion: The two post-RCT PET radiomic models, based on two different software implementations, were prognostic for local tumor control in HNSCC. However, 88% of the features was not reproducible between the implementations. (c) 2017 Elsevier B.V. All rights reserved.
KW - Post-radiochemotherapy 18F-FDG PET
KW - Radiomics
KW - Local tumor control modeling
KW - Software implementation
KW - Reproducibility
KW - SQUAMOUS-CELL CARCINOMA
KW - SIGNATURE
KW - SURVIVAL
KW - IMAGES
U2 - 10.1016/j.radonc.2017.10.023
DO - 10.1016/j.radonc.2017.10.023
M3 - Article
C2 - 29122358
SN - 0167-8140
VL - 125
SP - 385
EP - 391
JO - Radiotherapy and Oncology
JF - Radiotherapy and Oncology
IS - 3
ER -