Toward predicting the evolution of lung tumors during radiotherapy observed on a longitudinal MR imaging study via a deep learning algorithm

Purpose To predict the spatial and temporal trajectories of lung tumor during radiotherapy monitored under a longitudinal magnetic resonance imaging (MRI) study via a deep learning algorithm for facilitating adaptive radiotherapy (ART). Methods We monitored 10 lung cancer patients by acquiring weekl...

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Veröffentlicht in:	Medical physics (Lancaster) 2019-10, Vol.46 (10), p.4699-4707
Hauptverfasser:	Wang, Chuang, Rimner, Andreas, Hu, Yu‐Chi, Tyagi, Neelam, Jiang, Jue, Yorke, Ellen, Riyahi, Sadegh, Mageras, Gig, Deasy, Joseph O., Zhang, Pengpeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Deep Learning Humans longitudinal lung Lung Neoplasms - diagnostic imaging Lung Neoplasms - radiotherapy Magnetic Resonance Imaging MRI radiotherapy Retrospective Studies treatment response
Online-Zugang:	Volltext
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