Log file‐based quality assurance method for respiratory gating system
Abstract Background As medical linear accelerator technology advances, enabling higher dose rate deliveries, hypofractionation regimens has increased. This necessitates respiratory gating systems that synchronize radiation delivery with tumor position, requiring simple rigorous quality assurance (QA) to ensure treatment accuracy and patient safety ...
Wonjoong Cheon+7 more
wiley +1 more source
Annual Report of the Trustees of the Taunton State Hospital for the Year Ending November 30, 1927 [PDF]
Taunton State Hospital.
core +5 more sources
Comparison of SES method and SARIMA model in predicting the number of admissions in the department of neurology. [PDF]
Yang W, Ding L, Su A.
europepmc +1 more source
Machine stability and dosimetry for ultra‐high dose rate FLASH radiotherapy human clinical protocol
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
Perceptions of Hospital Care Quality According to People Living With Multiple Long-Term Conditions: A Scoping Review. [PDF]
Thompson F+4 more
europepmc +1 more source
Accounting for TLD response to CBCT protocols in external beam radiotherapy dose monitoring
Abstract Purpose LiF thermoluminescent dosimeters (TLDs) are commonly used in radiation therapy to verify the delivered dose. Examples include dose verification for complicated treatment setups or cardiovascular implantable electronic devices (CIEDs). TLDs may be present for both the pre‐treatment imaging kilovoltage (kV) beam and the megavoltage (MV ...
Andrew J. White+5 more
wiley +1 more source
Development and validation of a predictive model for hospital mortality in patients with community-acquired pneumonia admitted to the intensive care unit. [PDF]
Song X, Zhang Q, Qi Z, Liu B.
europepmc +1 more source
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
Correction: Predictive value of urine misfolded protein in preeclampsia in twin pregnancies. [PDF]
Liang Q, Sun L.
europepmc +1 more source