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

Asier Rabasco Meneghetti,Alex Zwanenburg,Stefan Leger,Karoline Leger,Esther G.C. Troost,Annett Linge,Fabian Lohaus,Andreas Schreiber,Goda Kalinauskaite,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

Clinical and Translational Radiation Oncology（2021）

引用 9|浏览5

暂无评分

摘要

•A prognostic signature for LRC in locally-advanced HNSCC was developed and validated.•Signature development was based on advanced machine-learning methods.•Tumour volume was combined with radiomic features related to tumour heterogeneity.•Patients were classified in risk groups with significant differences in LRC.

查看译文

关键词

HNSCC,Radiomics,Validation,Biomarker,Machine learning,Loco-regional control

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要