Results 251 to 260 of about 12,295,312 (324)
Abstract Purpose/objectives Recent technological advancements have increased efficiency for clinical deliverability of online‐adaptive‐radiotherapy (oART). Previous cone‐beam‐computed‐tomography (CBCT) generations lacked the ability to provide reliable Hounsfield‐units (HU), thus requiring oART workflows to rely on synthetic‐CT (sCT) images derived ...
Jingwei Duan+7 more
wiley +1 more source
Abstract Background This study aims to develop a novel predictive model for determining human papillomavirus (HPV) presence in oropharyngeal cancer using computed tomography (CT). Current image‐based HPV prediction methods are hindered by high computational demands or suboptimal performance.
Junhua Chen+3 more
wiley +1 more source
Abstract Purpose The aim of this study was to investigate the influence of the simultaneous multislice acceleration (SMS) technique as well as two‐dimensional (2D) and three‐dimensional (3D) tumor segmentations on radiomics features (RFs) within the parametric maps of cervical cancer, which were computed by intravoxel incoherent motion (IVIM) and ...
Shuangquan Ai+6 more
wiley +1 more source
Development of a generic focal spot measurement method suitable for bore‐type linacs
Abstract Purpose In linear accelerators, deviations in the x‐ray focal spot position significantly affect the accuracy of radiation therapy. However, as the focal spot position in bore‐type linac systems such as the Radixact system, cannot be assessed using conventional methods, a new evaluation method is required.
Hidetoshi Shimizu+5 more
wiley +1 more source
A method for measuring spatial resolution based on clinical chest CT sequence images
Abstract Purpose This study aimed to develop and validate a method for characterizing the spatial resolution of clinical chest computed tomography (CT) sequence images. Methods An algorithm for characterizing spatial resolution based on clinical chest CT sequence images was developed in Matlab (2021b).
Ying Liu+3 more
wiley +1 more source
The function of the sodium pump during differentiation of amphibian embryonic neurones.
E. A. Messenger, A Warner
openalex +2 more sources
Abstract Background The use of deep learning‐based auto‐contouring algorithms in various treatment planning services is increasingly common. There is a notable deficit of commercially or publicly available models trained on large or diverse datasets containing high‐dose‐rate (HDR) brachytherapy treatment scans, leading to poor performance on images ...
Andrew J. Krupien+8 more
wiley +1 more source
Abstract Purpose To assess the predictive capability of CT radiomics features for early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC). Methods Postoperative PDAC patients were retrospectively selected, all of whom had undergone preoperative CT imaging and surgery. Both patients with resectable or borderline‐resectable pancreatic cancer met
Xinze Du+7 more
wiley +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
Novel Phenotypes and Deep Intronic Variant Expand TH‐Associated Dopa‐Responsive Dystonia Spectrum
ABSTRACT Approximately 20% of dopa‐responsive dystonia (DRD) cases remain genetically unresolved. Using whole‐genome sequencing, we identified two TH variants in a young DRD patient, including a novel deep intronic variant. Minigene assays confirmed that this variant causes aberrant splicing.
Xiaosheng Zheng+6 more
wiley +1 more source