Humans; Human Papillomavirus Viruses; Prognosis; Tomography, X-Ray Computed/methods; Retrospective Studies; Papillomavirus Infections; Oropharyngeal Neoplasms; Anus Neoplasms/diagnostic imaging; Multidisciplinary
Abstract :
[en] The paper deals with the evaluation of the performance of an existing and previously validated CT based radiomic signature, developed in oropharyngeal cancer to predict human papillomavirus (HPV) status, in the context of anal cancer. For the validation in anal cancer, a dataset of 59 patients coming from two different centers was collected. The primary endpoint was HPV status according to p16 immunohistochemistry. Predefined statistical tests were performed to evaluate the performance of the model. The AUC obtained here in anal cancer is 0.68 [95% CI (0.32-1.00)] with F1 score of 0.78. This signature is TRIPOD level 4 (57%) with an RQS of 61%. This study provides proof of concept that this radiomic signature has the potential to identify a clinically relevant molecular phenotype (i.e., the HPV-ness) across multiple cancers and demonstrates potential for this radiomic signature as a CT imaging biomarker of p16 status.
Disciplines :
Radiology, nuclear medicine & imaging
Author, co-author :
Leijenaar, Ralph T H; Radiomics (Oncoradiomics SA), Liège, Belgium
Akshayaa Vaidyanathan; Radiomics (Oncoradiomics SA), Liège, Belgium ; The D-Lab, Department of Precision Medicine, GROW-School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
Guiot, Julien ; Centre Hospitalier Universitaire de Liège - CHU > > Service de pneumologie - allergologie
Lambin, Philippe; The D-Lab, Department of Precision Medicine, GROW-School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands ; Department of Radiology and Nuclear Medicine, GROW-School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
Lovinfosse, Pierre ; Centre Hospitalier Universitaire de Liège - CHU > > Service médical de médecine nucléaire et imagerie onco
Hasegawa, Y. et al. Human papilloma virus in non-small cell lung cancer in never smokers: A systematic review of the literature. Lung. Cancer 83, 8–13. 10.1016/j.lungcan.2013.10.002 (2014). DOI: 10.1016/j.lungcan.2013.10.002
Clifford, G. 5—Pooled analysis of HPV infection in paired anal and cervical samples, by HIV status. Papillomavirus Res. 5, s2-3. 10.1016/j.pvr.2018.07.006 (2018). DOI: 10.1016/j.pvr.2018.07.006
Yan, F. et al. The evolution of care of cancers of the head and neck region: State of the science in 2020. Cancers (Basel) 10.3390/cancers12061543 (2020). DOI: 10.3390/cancers12061543
Mai, S. et al. Prognostic relevance of hpv infection and p16 overexpression in squamous cell anal cancer. Int. J. Radiat. Oncol. 93, 819–27. 10.1016/j.ijrobp.2015.08.004 (2015). DOI: 10.1016/j.ijrobp.2015.08.004
Kiyuna, A. et al. High-risk type human papillomavirus infection and p16 expression in laryngeal cancer. Infect. Agent. Cancer 14, 8. 10.1186/s13027-019-0224-y (2019). DOI: 10.1186/s13027-019-0224-y
Aerts, H. J. W. L. et al. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat. Commun. 5, 4006. 10.1038/ncomms5006 (2014). DOI: 10.1038/ncomms5006
Aerts, H. J. W. L. The potential of radiomic-based phenotyping in precision medicine: A review. JAMA Oncol. 2, 1636–1642. 10.1001/jamaoncol.2016.2631 (2016). DOI: 10.1001/jamaoncol.2016.2631
Bagher-Ebadian, H. et al. Application of radiomics for the prediction of HPV status for patients with head and neck cancers. Med. Phys. 47, 563–575. 10.1002/mp.13977 (2020). DOI: 10.1002/mp.13977
Bogowicz, M. et al. Computed tomography radiomics predicts hpv status and local tumor control after definitive radiochemotherapy in head and neck squamous cell carcinoma. Int. J. Radiat. Oncol. Biol. Phys. 99, 921–928. 10.1016/j.ijrobp.2017.06.002 (2017). DOI: 10.1016/j.ijrobp.2017.06.002
Yu, K. et al. Radiomic analysis in prediction of human papilloma virus status. Clin. Transl. Radiat. Oncol. 7, 49–54. 10.1016/j.ctro.2017.10.001 (2017). DOI: 10.1016/j.ctro.2017.10.001
Shafiq-ul-Hassan, M. et al. Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels. Med. Phys. 44, 1050–1062. 10.1002/mp.12123 (2017). DOI: 10.1002/mp.12123
Leijenaar, R. T. H. et al. Development and validation of a radiomic signature to predict HPV (p16) status from standard CT imaging: A multicenter study. Br. J. Radiol. 91, 1–8. 10.1259/bjr.20170498 (2018). DOI: 10.1259/bjr.20170498
Guiot, J. et al. A review in radiomics: Making personalized medicine a reality via routine imaging. Med. Res. Rev. 10.1002/med.21846 (2021). DOI: 10.1002/med.21846
Lambin, P. et al. Radiomics: The bridge between medical imaging and personalized medicine. Nat. Rev. Clin. Oncol. 14, 749–762. 10.1038/nrclinonc.2017.141 (2017). DOI: 10.1038/nrclinonc.2017.141
Hartwig, S. et al. Estimation of the epidemiological burden of HPV-related anogenital cancers, precancerous lesions, and genital warts in women and men in Europe: Potential additional benefit of a nine-valent second generation HPV vaccine compared to first generation HPV va. Papillomavirus Res. 1, 90–100. 10.1016/j.pvr.2015.06.003 (2015). DOI: 10.1016/j.pvr.2015.06.003
Collins, G. S., Reitsma, J. B., Altman, D. G. & Moons, K. G. M. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): The TRIPOD Statement. BMC Med. 13, 1. 10.1186/s12916-014-0241-z (2015). DOI: 10.1186/s12916-014-0241-z
Mungai, F. et al. CT assessment of tumor heterogeneity and the potential for the prediction of human papillomavirus status in oropharyngeal squamous cell carcinoma. Radiol. Med. 124, 804–811. 10.1007/s11547-019-01028-6 (2019). DOI: 10.1007/s11547-019-01028-6
Buch, K. et al. Using Texture analysis to determine human papillomavirus status of oropharyngeal squamous cell carcinomas on CT. Am. J. Neuroradiol. 10.3174/ajnr.A4285 (2015). DOI: 10.3174/ajnr.A4285
Forghani, R. et al. Head and neck squamous cell carcinoma: Prediction of cervical lymph node metastasis by dual-energy CT texture analysis with machine learning. Eur. Radiol. 29, 6172–6181. 10.1007/s00330-019-06159-y (2019). DOI: 10.1007/s00330-019-06159-y
Zhang, J., Zhang, Y. & Zhang, Z. Prevalence of human papillomavirus and its prognostic value in vulvar cancer: A systematic review and meta-analysis. PLoS ONE 13, e0204162 (2018). DOI: 10.1371/journal.pone.0204162
Cantrell, S. C. et al. Differences in imaging characteristics of HPV-positive and HPV-negative oropharyngeal cancers: A blinded matched-pair analysis. Am. J. Neuroradiol. 10.3174/ajnr.A3524 (2009). DOI: 10.3174/ajnr.A3524
Zhao, B. et al. Reproducibility of radiomics for deciphering tumor phenotype with imaging. Sci. Rep. 6, 23428. 10.1038/srep23428 (2016). DOI: 10.1038/srep23428
Rietbergen, M. M. et al. Molecular characterization of p16-immunopositive but HPV DNA-negative oropharyngeal carcinomas. Int. J. Cancer 134, 2366–2372. 10.1002/ijc.28580 (2014). DOI: 10.1002/ijc.28580
Sun, G. et al. The prognostic value of HPV combined p16 status in patients with anal squamous cell carcinoma: A meta-analysis. Oncotarget; 9(8), 8081 (2017). DOI: 10.18632/oncotarget.23545
Brown, P. J. et al. Prediction of outcome in anal squamous cell carcinoma using radiomic feature analysis of pre-treatment FDG PET-CT. Eur. J. Nucl. Med. Mol. Imaging 46, 2790–2799. 10.1007/s00259-019-04495-1 (2019). DOI: 10.1007/s00259-019-04495-1
Saeed, H. et al. MRI-based radiomic fingerprint in cervical cancer: A new predictor for progression-free survival. Brachytherapy 18, S13. 10.1016/j.brachy.2019.04.033 (2019). DOI: 10.1016/j.brachy.2019.04.033
Chan, M. W. et al. Morphologic and topographic radiologic features of human papillomavirus-related and –unrelated oropharyngeal carcinoma. Head Neck 39, 1524–1534. 10.1002/hed.24764 (2017). DOI: 10.1002/hed.24764