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Neurocognition and mean radiotherapy dose to vulnerable brain structures: new organs at risk?
BackgroundChildren with brain tumors are at high risk of neurocognitive decline after radiotherapy (RT). However, there is a lack of studies on how...
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Deep learning based automatic segmentation of organs-at-risk for 0.35 T MRgRT of lung tumors
Background and purposeMagnetic resonance imaging guided radiotherapy (MRgRT) offers treatment plan adaptation to the anatomy of the day. In the...
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Effect of stomach size on organs at risk in pancreatic stereotactic body radiotherapy
BackgroundIn clinical practice, the organs at risk (OARs) should be carefully determined when performing pancreatic stereotactic body radiotherapy...
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Dose prediction of organs at risk in patients with cervical cancer receiving brachytherapy using needle insertion based on a neural network method
ObjectiveA neural network method was employed to establish a dose prediction model for organs at risk (OAR) in patients with cervical cancer...
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A structure-based gamma evaluation method for identifying clinically relevant dose differences in organs at risk
Gamma evaluation is currently the most widely used dose comparison method for patient specific quality assurance (PSQA). However, existing methods...
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Dosimetric comparison of deformable image registration and synthetic CT generation based on CBCT images for organs at risk in cervical cancer radiotherapy
ObjectiveAnatomical variations existing in cervical cancer radiotherapy treatment can be monitored by cone-beam computed tomography (CBCT) images....
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Automatic segmentation of tumour and organs at risk in 3D MRI for cervical cancer radiation therapy with anatomical variations
Cervical cancer is a common cancer in women globally, with treatment usually involving radiation therapy (RT). Accurate segmentation for the tumour...
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Localized fine-tuning and clinical evaluation of deep-learning based auto-segmentation (DLAS) model for clinical target volume (CTV) and organs-at-risk (OAR) in rectal cancer radiotherapy
Background and purposeVarious deep learning auto-segmentation (DLAS) models have been proposed, some of which have been commercialized. However, the...
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Organs-at-risk dose constraints in head and neck intensity-modulated radiation therapy using a dataset from a multi-institutional clinical trial (JCOG1015A1)
BackgroundJCOG1015A1 is an ancillary research study to determine the organ-specific dose constraints in head and neck carcinoma treated with...
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Regeneration of Urologic Tissues and Organs
Patients suffering from a variety of urologic diseases may be treated with transplanted tissues and organs. However, there is a shortage of donor...
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Pelvic U-Net: multi-label semantic segmentation of pelvic organs at risk for radiation therapy anal cancer patients using a deeply supervised shuffle attention convolutional neural network
BackgroundDelineation of organs at risk (OAR) for anal cancer radiation therapy treatment planning is a manual and time-consuming process. Deep...
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Radiology of fibrosis part II: abdominal organs
Fibrosis is the aberrant process of connective tissue deposition from abnormal tissue repair in response to sustained tissue injury caused by...
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Where should siRNAs go: applicable organs for siRNA drugs
RNA interference mediated by small interfering RNAs (siRNAs) has been exploited for the development of therapeutics. siRNAs can be a powerful...
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Cranial organs at risk delineation: heterogenous practices in radiotherapy planning
BackgroundSegmentation is a crucial step in treatment planning that directly impacts dose distribution and optimization. The aim of this study was to...
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Radiology of fibrosis. Part I: Thoracic organs
Sustained injury from factors such as hypoxia, infection, or physical damage may provoke improper tissue repair and the anomalous deposition of...
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Mammalian tumor-like organs. 1. The role of tumor-like normal organs and atypical tumor organs in the evolution of development (carcino-evo-devo)
BackgroundEarlier I hypothesized that hereditary tumors might participate in the evolution of multicellular organisms. I formulated the hypothesis of...
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Colocalization of expression transcripts with COVID-19 outcomes is rare across cell states, cell types and organs
Identifying causal genes at GWAS loci can help pinpoint targets for therapeutic interventions. Expression studies can disentangle such loci but...
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The dosimetric impact of deep learning-based auto-segmentation of organs at risk on nasopharyngeal and rectal cancer
PurposeTo investigate the dosimetric impact of deep learning-based auto-segmentation of organs at risk (OARs) on nasopharyngeal and rectal cancer.
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Transcriptional changes in multiple endocrine organs from lethal cases of COVID-19
AbstractAltered circulating hormone and metabolite levels have been reported during and post-COVID-19. Yet, studies of gene expression at the tissue...
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3D Bioprinting of Human Hollow Organs
3D bioprinting is a rapidly evolving technique that has been found to have extensive applications in disease research, tissue engineering, and...
