Current research in radiotherapy (RT) for breast cancer is evaluating neoadjuvant as
opposed to adjuvant partial breast irradiation (PBI) with the aim of reducing the volume of …

Nasopharyngeal carcinoma is a common head and neck malignancy with distinct clinical
management compared to other types of cancer. Precision risk stratification and tailored …

Purpose Artificial intelligence (AI) can play a significant role in Magnetic Resonance guided
Radiotherapy (MRgRT), especially to speed up the online adaptive workflow. The aim of this …

MRI-linear accelerator (MR-linac) devices have been introduced into clinical practice in
recent years and have enabled MR-guided adaptive radiation therapy (MRgART). However …

A synthetic computed tomography (sCT) is required for daily plan optimization on an MRI-
linac. Yet, only limited information is available on the accuracy of dose calculations on sCT …

Objective. Owing to the superior soft tissue contrast of MRI, MRI-guided adaptive
radiotherapy (ART) is well-suited to managing interfractional changes in anatomy. An MRI …

Background: Biomarker-driven molecular imaging has emerged as an integral part of cancer
precision radiotherapy. The use of molecular imaging probes, including nanoprobes, have …

Objective. Auto-delineation of air regions on daily MRI for MR-guided online adaptive
radiotherapy (MRgOART) of abdominal tumors is challenging since the air packets occur …

Objective. In the current MR-Linac online adaptive workflow, air regions on the MR images
need to be manually delineated for abdominal targets, and then overridden by air density for …

Objective. Fast and accurate auto-segmentation is essential for magnetic resonance-guided
adaptive radiation therapy (MRgART). Deep learning auto-segmentation (DLAS) is not …