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Rabasco Meneghetti, A.* ; Zwanenburg, A.* ; Leger, S.* ; Leger, K.* ; Linge, A.* ; Lohaus, F.* ; Schreiber, A.* ; Kalinauskaite, G.* ; Tinhofer, I.* ; Guberina, N.* ; Guberina, M.* ; Balermpas, P.* ; Von der Grün, J.* ; Ganswindt, U. ; Belka, C. ; Peeken, J.C. ; Combs, S.E. ; Böke, S.* ; Zips, D.* ; Löck, S.*

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

Clin. Transl. Radiat. Oncol. 26, 62-70 (2021)
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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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Biomarker ; Hnscc ; Loco-regional Control ; Machine Learning ; Radiomics ; Validation
Sprache englisch
Veröffentlichungsjahr 2021
Prepublished im Jahr 2020
HGF-Berichtsjahr 2020
ISSN (print) / ISBN 2405-6308
e-ISSN 2405-6308
Zeitschrift Clinical and translational radiation oncology
Quellenangaben Band: 26, Heft: , Seiten: 62-70 Artikelnummer: , Supplement: ,
Verlag Elsevier
Verlagsort Amsterdam
Begutachtungsstatus Peer reviewed
Institut(e) Translational Metabolic Oncology (IDC-TMO)
POF Topic(s) 30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
Forschungsfeld(er) Radiation Sciences
PSP-Element(e) G-521800-001
DOI 10.1016/j.ctro.2020.11.011
Scopus ID 85097432622
Erfassungsdatum 2020-12-20
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