Results 21 to 30 of about 63,337 (194)
Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang+5 more
wiley +1 more source
Abstract Purpose Results of a prospective, randomized controlled trial at our institute demonstrate an association between the dose to the left hippocampus and neurocognitive decline post‐radiotherapy for patients with glioblastoma. To minimize the dose to the left hippocampus, a left hippocampus sparing model was created using RapidPlan (RP) and multi‐
Shima Y. Tari+9 more
wiley +1 more source
IROC phantoms accurately detect MLC delivery errors
Abstract Purpose We evaluated the impact of random and whole‐bank multileaf collimator (MLC) delivery errors on dosimetric delivery accuracy in the Imaging and Radiation Oncology Core (IROC) phantom audits, as well as differences in delivery accuracy between the IROC phantom prescription and typical clinical fraction sizes.
Sharbacha S. Edward+5 more
wiley +1 more source
Abstract This study aimed to evaluate the dose‐exposure reduction effect of a crystalline lens with a bismuth eye shield using cone‐beam computed tomography (CBCT) for head image‐guided radiation therapy. The ocular surface dose of the head phantom (THRA‐1) is defined as a crystalline lens exposure dose and is measured using a radiophotoluminescence ...
Tatsuya Yoshida+5 more
wiley +1 more source
The Atlantic coast of NW Spain, where shingle beaches appear today, has suffered an important mobilization of dunes from a sea level about −120 m (bpsl), 20 ky ago. This aeolization caused the collapse of coastal/fluvial ecosystems (as forests) until the Late Holocene.
Carlos Arce Chamorro+3 more
wiley +1 more source
A review of artificial intelligence in brachytherapy
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen+4 more
wiley +1 more source
Abstract The thermoluminescence dosimeter (TLD) sheet is a measurement device coated with manganese‐doped LiB3O5 in sheet form. The sheet is 0.2‐mm thick and flexible. Hence, it can fit and be installed on irregular surfaces. The current study aimed to evaluate the feasibility of measuring patient surface doses during radiation therapy using TLD sheets.
Yuya Miyasaka+8 more
wiley +1 more source
Abstract Skin flash is typically added to breast and chestwall plans to ensure robust target coverage in the presence of respiratory motion, anatomic changes, and small setup uncertainties. Adding skin flash in volumetric modulated arc therapy (VMAT) plans is an iterative and manual process.
Emily Hubley+6 more
wiley +1 more source
To evaluate the magnitude and resulting impact of rotational error in rectal cancer patients, and to investigate the feasibility of planning target volume (PTV) margin reduction to improve organs‐at‐risk (OAR) sparing. Abstract Introduction The magnitude and impact of rotational error is unclear in rectal cancer radiation therapy.
Vivian Seah+10 more
wiley +1 more source