MRI-based radiomic prognostic signature for locally advanced oral cavity squamous cell carcinoma: development, testing and comparison with genomic prognostic signatures

Biomarker Research

Research

Pim de Graaf¹  C. René Leemans²  Ruud H. Brakenhoff²  Anna Corti³  Luca Mainardi³  Valentina Corino⁴  Federico Pistore⁵  Stefano Cavalieri⁶  Lisa Licitra⁶  Loris De Cecco⁷  Deborah Lenoci⁷  Tito Poli⁸  Giuseppina Calareso⁹  Davide Mattavelli^1,10  Marco Ravanelli^1,11 

[1] Amsterdam UMC location Vrije Universiteit, Radiology and Nuclear Medicine, de Boelelaan 1117, Amsterdam, The Netherlands;Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands;Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands;Amsterdam UMC location Vrije Universiteit, Otolaryngology-Head and Neck Surgery, de Boelelaan 1117, Amsterdam, The Netherlands;Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy;Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy;Cardiotech Lab, Centro Cardiologico Monzino IRCCS, Milan, Italy;Head and Neck Medical Oncology Department, Fondazione IRCCS, Istituto Nazionale dei Tumori, Milan, Italy;Head and Neck Medical Oncology Department, Fondazione IRCCS, Istituto Nazionale dei Tumori, Milan, Italy;Department of Oncology and Hemato-Oncology, Università degli studi di Milano, Milan, Italy;Integrated Biology of Rare Tumors, Department of Research, Fondazione IRCCS, Istituto Nazionale dei Tumori, Milan, Italy;Maxillo-Facial Surgery Division, Head and Neck Department, University Hospital of Parma, Parma, Italy;Radiology Department, Fondazione IRCCS, Istituto Nazionale dei Tumori, Milan, Italy;Unit of Otorhinolaryngology-Head and Neck Surgery, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, ASST Spedali Civili of Brescia, University of Brescia, Brescia, Italy;Unit of Radiology, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, ASST Spedali Civili of Brescia, University of Brescia, Brescia, Italy;

关键词: Radiomics;    Radiogenomics;    Magnetic resonance imaging;    Head and neck cancer;    Survival models;    Overall survival;    Oral cavity squamous cell carcinoma;   

DOI  :  10.1186/s40364-023-00494-5

 received in 2023-03-03, accepted in 2023-05-03,  发布年份 2023

来源: Springer

【 摘 要 】

Background. At present, the prognostic prediction in advanced oral cavity squamous cell carcinoma (OCSCC) is based on the tumor-node-metastasis (TNM) staging system, and the most used imaging modality in these patients is magnetic resonance image (MRI). With the aim to improve the prediction, we developed an MRI-based radiomic signature as a prognostic marker for overall survival (OS) in OCSCC patients and compared it with published gene expression signatures for prognosis of OS in head and neck cancer patients, replicated herein on our OCSCC dataset.MethodsFor each patient, 1072 radiomic features were extracted from T1 and T2-weighted MRI (T1w and T2w). Features selection was performed, and an optimal set of five of them was used to fit a Cox proportional hazard regression model for OS. The radiomic signature was developed on a multi-centric locally advanced OCSCC retrospective dataset (n = 123) and validated on a prospective cohort (n = 108).ResultsThe performance of the signature was evaluated in terms of C-index (0.68 (IQR 0.66–0.70)), hazard ratio (HR 2.64 (95% CI 1.62–4.31)), and high/low risk group stratification (log-rank p < 0.001, Kaplan-Meier curves). When tested on a multi-centric prospective cohort (n = 108), the signature had a C-index of 0.62 (IQR 0.58–0.64) and outperformed the clinical and pathologic TNM stage and six out of seven gene expression prognostic signatures. In addition, the significant difference of the radiomic signature between stages III and IVa/b in patients receiving surgery suggests a potential association of MRI features with the pathologic stage.ConclusionsOverall, the present study suggests that MRI signatures, containing non-invasive and cost-effective remarkable information, could be exploited as prognostic tools.

【 授权许可】

CC BY   
© The Author(s) 2023

【 图 表 】

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