Towards a fully automatic workflow for investigating the dynamics of lung cancer cachexia during radiotherapy using cone beam computed tomography

Cachexia is a devastating condition, characterized by involuntary loss of muscle mass with or without loss of adipose tissue mass. It affects more than half of patients with lung cancer, diminishing treatment effects and increasing mortality. Cone-beam computed tomography (CBCT) images, routinely ac...

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Veröffentlicht in:	Physics in medicine & biology 2024-10, Vol.69 (20), p.205005
Hauptverfasser:	Daenen, Lars H B A, van de Worp, Wouter R P H, Rezaeifar, Behzad, de Bruijn, Joël, Qiu, Peiyu, Webster, Justine M, Peeters, Stéphanie, De Ruysscher, Dirk, Langen, Ramon C J, Wolfs, Cecile J A, Verhaegen, Frank
Format:	Artikel
Sprache:	eng
Schlagworte:	CBCT deep learning lung cancer cachexia pectoralis muscle segmentation radiotherapy synthetic CT generation
Online-Zugang:	Volltext
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