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Definition and validation of a radiomics signature for loco-regional tumour control in patients with locally advanced head and neck squamous cell carcinoma

  • Purpose: To develop and validate a CT-based radiomics signature for the prognosis of loco-regional tumour control (LRC) in patients with locally advanced head and neck squamous cell carcinoma (HNSCC) treated by primary radiochemotherapy (RCTx) based on retrospective data from 6 partner sites of the German Cancer Consortium - Radiation Oncology Group (DKTK-ROG). Material and methods: Pre-treatment CT images of 318 patients with locally advanced HNSCC were collected. Four-hundred forty-six features were extracted from each primary tumour volume and then filtered through stability analysis and clustering. First, a baseline signature was developed from demographic and tumour-associated clinical parameters. This signature was then supplemented by CT imaging features. A final signature was derived using repeated 3-fold cross-validation on the discovery cohort. Performance in external validation was assessed by the concordance index (C-Index). Furthermore, calibration and patient stratification in groups with low and high risk for loco-regional recurrence were analysed. Results: For the clinical baseline signature, only the primary tumour volume was selected. The final signature combined the tumour volume with two independent radiomics features. It achieved moderately good discriminatory performance (C-Index [95% confidence interval]: 0.66 [0.55–0.75]) on the validation cohort along with significant patient stratification (p = 0.005) and good calibration. Conclusion: We identified and validated a clinical-radiomics signature for LRC of locally advanced HNSCC using a multi-centric retrospective dataset. Prospective validation will be performed on the primary cohort of the HNprädBio trial of the DKTK-ROG once follow-up is completed.

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Author:Asier Rabasco Meneghetti, Alex Zwanenburg, Stefan Leger, Karoline Leger, Esther Gera Cornelia TroostORCiDGND, Annett LingeORCiDGND, Fabian LohausORCiDGND, Andreas Schreiber, Goda Kalinauskaite, Inge Tinhofer, Nika Guberina, Maja Guberina, Panagiotis BalermpasORCiDGND, Jens Müller-von der GrünORCiDGND, Ute Ganswindt, Claus Belka, Jan Caspar Peeken, Stephanie E. CombsORCiD, Simon Böke, Daniel Zips, Mechthild KrauseORCiDGND, Michael Baumann, Steffen Löck
URN:urn:nbn:de:hebis:30:3-574908
DOI:https://doi.org/10.1016/j.ctro.2020.11.011
ISSN:2405-6308
Parent Title (English):Clinical and translational radiation oncology
Publisher:Elsevier
Place of publication:Amsterdam [u.a.]
Document Type:Article
Language:English
Date of Publication (online):2020/11/27
Date of first Publication:2020/11/27
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2020/12/27
Tag:Biomarker; HNSCC; Loco-regional control; Machine learning; Radiomics; Validation
Volume:26.2021
Page Number:9
First Page:62
Last Page:70
HeBIS-PPN:476902878
Institutes:Medizin / Medizin
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - Namensnennung-Nicht kommerziell - Keine Bearbeitung 4.0