Definition and validation of a radiomics signature for loco-regional tumour control in patients with locally advanced head and neck squamous cell carcinoma
Author(s) -
A. Meneghetti,
Alex Zwanenburg,
Stefan Leger,
Karoline Leger,
Esther G.C. Troost,
Annett Linge,
Fabian Lohaus,
Andreas Schreiber,
Goda Kalinauskaitė,
Inge Tinhofer,
Nika Guberina,
Maja Guberina,
Panagiotis Balermpas,
Jens von der Grün,
Ute Ganswindt,
Claus Belka,
Jan C. Peeken,
Stephanie E. Combs,
Simon Böke,
Daniel Zips,
Mechthild Krause,
Michaël Baumann,
Steffen Löck
Publication year - 2020
Publication title -
clinical and translational radiation oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.336
H-Index - 15
ISSN - 2405-6308
DOI - 10.1016/j.ctro.2020.11.011
Subject(s) - medicine , head and neck squamous cell carcinoma , concordance , head and neck cancer , confidence interval , cohort , radiomics , retrospective cohort study , oncology , radiation therapy , radiology
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
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