Next Article in Journal
Prognostic Value of CD200R1 mRNA Expression in Head and Neck Squamous Cell Carcinoma
Next Article in Special Issue
Pre-Treatment T2-WI Based Radiomics Features for Prediction of Locally Advanced Rectal Cancer Non-Response to Neoadjuvant Chemoradiotherapy: A Preliminary Study
Previous Article in Journal
Merkel Cell Polyomavirus and Merkel Cell Carcinoma
Previous Article in Special Issue
Multiparametric MRI for Prostate Cancer Characterization: Combined Use of Radiomics Model with PI-RADS and Clinical Parameters
Article

Potential Added Value of PET/CT Radiomics for Survival Prognostication beyond AJCC 8th Edition Staging in Oropharyngeal Squamous Cell Carcinoma

1
Section of Neuroradiology, Department of Radiology and Biomedical Imaging, Yale School of Medicine, 789 Howard Ave, New Haven, CT 06519, USA
2
Department of Otorhinolaryngology, University Hospital of Ludwig Maximilians Universität München, Marchioninistrasse 15, 81377 Munich, Germany
3
Center for Translational Imaging Analysis and Machine Learning, Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT 06510, USA
4
Department of Diagnostic Radiology and Augmented Intelligence & Precision Health Laboratory, McGill University Health Centre & Research Institute, 1650 Cedar Avenue, Montreal, QC H3G 1A4, Canada
5
Department of Radiation Oncology, Dana-Farber Cancer Institute, Harvard Medical School, 450 Brookline Avenue, Boston, MA 02215, USA
6
Division of Otolaryngology, Department of Surgery, Yale School of Medicine, 330 Cedar Street, New Haven, CT 06520, USA
7
Department of Pathology, Yale School of Medicine, 310 Cedar Street, New Haven, CT 06520, USA
8
Section of Medical Oncology, Department of Internal Medicine, Yale School of Medicine, 25 York Street, New Haven, CT 06520, USA
*
Author to whom correspondence should be addressed.
Amit Mahajan and Seyedmehdi Payabvash contributed equally to this article.
Cancers 2020, 12(7), 1778; https://doi.org/10.3390/cancers12071778
Received: 12 June 2020 / Revised: 29 June 2020 / Accepted: 30 June 2020 / Published: 3 July 2020
(This article belongs to the Special Issue Radiomics and Cancers)
Accurate risk-stratification can facilitate precision therapy in oropharyngeal squamous cell carcinoma (OPSCC). We explored the potential added value of baseline positron emission tomography (PET)/computed tomography (CT) radiomic features for prognostication and risk stratification of OPSCC beyond the American Joint Committee on Cancer (AJCC) 8th edition staging scheme. Using institutional and publicly available datasets, we included OPSCC patients with known human papillomavirus (HPV) status, without baseline distant metastasis and treated with curative intent. We extracted 1037 PET and 1037 CT radiomic features quantifying lesion shape, imaging intensity, and texture patterns from primary tumors and metastatic cervical lymph nodes. Utilizing random forest algorithms, we devised novel machine-learning models for OPSCC progression-free survival (PFS) and overall survival (OS) using “radiomics” features, “AJCC” variables, and the “combined” set as input. We designed both single- (PET or CT) and combined-modality (PET/CT) models. Harrell’s C-index quantified survival model performance; risk stratification was evaluated in Kaplan–Meier analysis. A total of 311 patients were included. In HPV-associated OPSCC, the best “radiomics” model achieved an average C-index ± standard deviation of 0.62 ± 0.05 (p = 0.02) for PFS prediction, compared to 0.54 ± 0.06 (p = 0.32) utilizing “AJCC” variables. Radiomics-based risk-stratification of HPV-associated OPSCC was significant for PFS and OS. Similar trends were observed in HPV-negative OPSCC. In conclusion, radiomics imaging features extracted from pre-treatment PET/CT may provide complimentary information to the current AJCC staging scheme for survival prognostication and risk-stratification of HPV-associated OPSCC. View Full-Text
Keywords: radiomics; oropharyngeal squamous cell carcinoma; PET/CT; quantitative imaging; HPV; imaging biomarker; survival analysis; risk stratification; head and neck cancer radiomics; oropharyngeal squamous cell carcinoma; PET/CT; quantitative imaging; HPV; imaging biomarker; survival analysis; risk stratification; head and neck cancer
Show Figures

Figure 1

MDPI and ACS Style

Haider, S.P.; Zeevi, T.; Baumeister, P.; Reichel, C.; Sharaf, K.; Forghani, R.; Kann, B.H.; Judson, B.L.; Prasad, M.L.; Burtness, B.; Mahajan, A.; Payabvash, S. Potential Added Value of PET/CT Radiomics for Survival Prognostication beyond AJCC 8th Edition Staging in Oropharyngeal Squamous Cell Carcinoma. Cancers 2020, 12, 1778. https://doi.org/10.3390/cancers12071778

AMA Style

Haider SP, Zeevi T, Baumeister P, Reichel C, Sharaf K, Forghani R, Kann BH, Judson BL, Prasad ML, Burtness B, Mahajan A, Payabvash S. Potential Added Value of PET/CT Radiomics for Survival Prognostication beyond AJCC 8th Edition Staging in Oropharyngeal Squamous Cell Carcinoma. Cancers. 2020; 12(7):1778. https://doi.org/10.3390/cancers12071778

Chicago/Turabian Style

Haider, Stefan P.; Zeevi, Tal; Baumeister, Philipp; Reichel, Christoph; Sharaf, Kariem; Forghani, Reza; Kann, Benjamin H.; Judson, Benjamin L.; Prasad, Manju L.; Burtness, Barbara; Mahajan, Amit; Payabvash, Seyedmehdi. 2020. "Potential Added Value of PET/CT Radiomics for Survival Prognostication beyond AJCC 8th Edition Staging in Oropharyngeal Squamous Cell Carcinoma" Cancers 12, no. 7: 1778. https://doi.org/10.3390/cancers12071778

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop