Results 301 to 310 of about 8,804,783 (354)

Machine stability and dosimetry for ultra‐high dose rate FLASH radiotherapy human clinical protocol

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The FLASH effect, induced by ultra‐high dose rate (UHDR) irradiations, offers the potential to spare normal tissue while effectively treating tumors. It is important to achieve precise and accurate dose delivery and to establish reliable detector systems, particularly for clinical trials needed to help the clinical transfer of FLASH‐
Patrik Gonçalves Jorge   +9 more
wiley   +1 more source

DICOM attribute manipulation tool: Easily change frame of reference, series instance, and SOP instance UID

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose In radiation oncology, the integration and registration of multiple imaging modalities is a crucial aspect of the diagnosis and treatment planning process. These images are often inherently registered, a useful feature in most cases, but possibly a hindrance when registration modifications are required.
Brian M. Anderson, Casey Bojechko
wiley   +1 more source

An investigation into the feasibility and efficacy of stereotactic radiosurgery for 1–3 cm single brain lesions on the ring‐mounted Halcyon LINAC

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose An evaluation of the accuracy, safety, and efficiency of the Halcyon ring delivery system (RDS) for stereotactic radiosurgery (SRS) treatment to relatively small (1–3 cm) brain lesions. Methods After completing the extensive in‐house quality assurance checks including Winston–Lutz test and independent dose verification via MD Anderson ...
Kate Hazelwood   +5 more
wiley   +1 more source

Unsupervised non‐small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity‐based discriminator

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing deep learning‐based automatic segmentation methods rely on manually annotated data for network training. Purpose This study aims to develop an unsupervised tumor segmentation network smic‐GAN by using a similarity‐driven generative adversarial ...
Chengyijue Fang   +2 more
wiley   +1 more source

Addressing social needs in oncology practices: A case study of a patient-centered approach using health information technology. [PDF]

open access: yesJ Clin Transl Sci
Parsons HM   +6 more
europepmc   +1 more source

Evaluating feature extraction reproducibility across image biomarker standardization initiative‐compliant radiomics platforms using a digital phantom

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The aim of this study was to thoroughly analyze the reproducibility of radiomics feature extraction across three Image Biomarker Standardization Initiative (IBSI)‐compliant platforms using a digital phantom for benchmarking. It uncovers high consistency among common features while also pointing out the necessity for standardization ...
Han‐Back Shin   +5 more
wiley   +1 more source

Primary Care Physicians' Satisfaction With Interoperable Health Information Technology.

open access: yesJAMA Netw Open
Everson J   +5 more
europepmc   +1 more source

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