TY - JOUR
T1 - Development and validation of a radiomic signature to predict HPV (p16) status from standard CT imaging
T2 - a multicenter study
AU - Leijenaar, Ralph T. H.
AU - Bogowicz, Marta
AU - Jochems, Arthur
AU - Hoebers, Frank J. P.
AU - Wesseling, Frederik W. R.
AU - Huang, Sophie H.
AU - Chan, Biu
AU - Waldron, John N.
AU - O'Sullivan, Brian
AU - Rietveld, Derek
AU - Leemans, C. Rene
AU - Brakenhoff, Ruud H.
AU - Riesterer, Oliver
AU - Tanadini-Lang, Stephanie
AU - Guckenberger, Matthias
AU - Ikenberg, Kristian
AU - Lambin, Philippe
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Objectives: Human papillomavirus (HPV) positive oropharyngeal cancer (oropharyngeal squamous cell carcinoma, OPSCC) is biologically and clinically different from HPV negative OPSCC. Here, we evaluate the use of a radiomic approach to identify the HPV status of OPSCC. Methods: Four independent cohorts, totaling 778 OPSCC patients with HPV determined by p16 were collected. We randomly assigned 80% of all data for model training (N = 628) and 20% for validation (N = 150). On the pre-treatment CT images, 902 radiomic features were calculated from the gross tumor volume. Multivariable modeling was performed using least absolute shrinkage and selection operator. To assess the impact of CT artifacts in predicting HPV (p16), a model was developed on all training data (M-all) and on the artifact-free subset of training data (M-no (art)), Models were validated on all validation data (V-all), and the subgroups with (V-art) and without (V-no (art)) artifacts. Kaplan-Meier survival analysis was performed to compare HPV status based on p16 and radiomic model predictions. Results: The area under the receiver operator curve for M-all and M-no (art) ranged between 0.70 and 0.80 and was not significantly different for all validation data sets. There was a consistent and significant split between survival curves with HPV status determined by p16 [p = 0.007; hazard ratio (HR): 0.46], M-all (p = 0.036; HR: 0.55) and M-no (art) (P = 0.027; HR: 0.49). Conclusion: This study provides proof of concept that molecular information can be derived from standard medical images and shows potential for radiomics as imaging biomarker of HPV status. Advances in knowledge: Radiomics has the potential to identify clinically relevant molecular phenotypes.
AB - Objectives: Human papillomavirus (HPV) positive oropharyngeal cancer (oropharyngeal squamous cell carcinoma, OPSCC) is biologically and clinically different from HPV negative OPSCC. Here, we evaluate the use of a radiomic approach to identify the HPV status of OPSCC. Methods: Four independent cohorts, totaling 778 OPSCC patients with HPV determined by p16 were collected. We randomly assigned 80% of all data for model training (N = 628) and 20% for validation (N = 150). On the pre-treatment CT images, 902 radiomic features were calculated from the gross tumor volume. Multivariable modeling was performed using least absolute shrinkage and selection operator. To assess the impact of CT artifacts in predicting HPV (p16), a model was developed on all training data (M-all) and on the artifact-free subset of training data (M-no (art)), Models were validated on all validation data (V-all), and the subgroups with (V-art) and without (V-no (art)) artifacts. Kaplan-Meier survival analysis was performed to compare HPV status based on p16 and radiomic model predictions. Results: The area under the receiver operator curve for M-all and M-no (art) ranged between 0.70 and 0.80 and was not significantly different for all validation data sets. There was a consistent and significant split between survival curves with HPV status determined by p16 [p = 0.007; hazard ratio (HR): 0.46], M-all (p = 0.036; HR: 0.55) and M-no (art) (P = 0.027; HR: 0.49). Conclusion: This study provides proof of concept that molecular information can be derived from standard medical images and shows potential for radiomics as imaging biomarker of HPV status. Advances in knowledge: Radiomics has the potential to identify clinically relevant molecular phenotypes.
KW - SQUAMOUS-CELL CARCINOMA
KW - OROPHARYNGEAL CANCER
KW - HUMAN-PAPILLOMAVIRUS
KW - TEXTURE ANALYSIS
KW - NECK-CANCER
KW - HEAD
KW - FEATURES
KW - PARAMETERS
KW - SELECTION
KW - MEDICINE
U2 - 10.1259/bjr.20170498
DO - 10.1259/bjr.20170498
M3 - Article
C2 - 29451412
SN - 0007-1285
VL - 91
JO - British Journal of Radiology
JF - British Journal of Radiology
IS - 1086
M1 - 2017049811075
ER -