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Simultaneous grading diagnosis of liver fibrosis, inflammation, and steatosis using multimodal quantitative ultrasound and artificial intelligence framework
Noninvasive, accurate, and simultaneous grading of liver fibrosis, inflammation, and steatosis is valuable for reversing the progression and...
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The relationship between Stroma AReactive Invasion Front Areas (SARIFA), Warburg-subtype and survival: results from a large prospective series of colorectal cancer patients
BackgroundStroma AReactive Invasion Front Areas (SARIFA) is a recently identified haematoxylin & eosin (H&E)based histopathologic biomarker in...
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Synthetic CT generation for pelvic cases based on deep learning in multi-center datasets
Background and purposeTo investigate the feasibility of synthesizing computed tomography (CT) images from magnetic resonance (MR) images in...
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Subclinical dose irradiation triggers human breast cancer migration via mitochondrial reactive oxygen species
BackgroundDespite technological advances in radiotherapy, cancer cells at the tumor margin and in diffusive infiltrates can receive subcytotoxic...
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Development and validation of an automated Tomotherapy planning method for cervical cancer
PurposeThis study aimed to develop an automated Tomotherapy (TOMO) planning method for cervical cancer treatment, and to validate its feasibility and...
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ConKeD: multiview contrastive descriptor learning for keypoint-based retinal image registration
AbstractRetinal image registration is of utmost importance due to its wide applications in medical practice. In this context, we propose ConKeD, a...
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Enhanced deep leaning model for detection and grading of lumbar disc herniation from MRI
Lumbar disc herniation is one of the most prevalent orthopedic issues in clinical practice. The lumbar spine is a crucial joint for movement and...
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DNN-BP: a novel framework for cuffless blood pressure measurement from optimal PPG features using deep learning model
AbstractContinuous blood pressure (BP) provides essential information for monitoring one’s health condition. However, BP is currently monitored using...
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Clinical application of a GPU-accelerated monte carlo dose verification for cyberknife M6 with Iris collimator
PurposeTo apply an independent GPU-accelerated Monte Carlo (MC) dose verification for CyberKnife M6 with Iris collimator and evaluate the dose...
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Transcriptomic response of prostate cancer cells to carbon ion and photon irradiation with focus on androgen receptor and TP53 signaling
BackgroundRadiotherapy is essential in the treatment of prostate cancer. An alternative to conventional photon radiotherapy is the application of...
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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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Left ventricle diastolic vortex ring characterization in ischemic cardiomyopathy: insight into atrio-ventricular interplay
Diastolic vortex ring (VR) plays a key role in the blood-pum** function exerted by the left ventricle (LV), with altered VR structures being...
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Long-acting Erwinia chrysanthemi, Pegcrisantaspase, induces alternate amino acid biosynthetic pathways in a preclinical model of pancreatic ductal adenocarcinoma
BackgroundPancreatic ductal adenocarcinoma (PDAC) is an aggressive disease without meaningful therapeutic options beyond the first salvage therapy....
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Modeling and control of COVID-19 disease using deep reinforcement learning method
The prevalence of epidemics has been studied by researchers in various fields. In the last 2 years, the outbreak of COVID-19 has affected the health,...
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Sulfatide imaging identifies tumor cells in colorectal cancer peritoneal metastases
Even with systemic chemotherapy, cytoreductive surgery (CRS), and hyperthermic intraperitoneal chemotherapy (HIPEC), peritoneal metastases (PM)...
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Continuous mobile measurement of camptocormia angle using four accelerometers
Camptocormia, a severe flexion deformity of the spine, presents challenges in monitoring its progression outside laboratory settings. This study...
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CircRNA_101491 regulated the radiation sensitivity of esophageal squamous cell carcinomas via sponging miR-125a-5p
BackgroundAt present, it has been found that many patients have acquired resistance to radiotherapy, which greatly reduces the effect of radiotherapy...
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Single-cell transcriptional analysis of irradiated skin reveals changes in fibroblast subpopulations and variability in caveolin expression
BackgroundRadiation-induced fibrosis (RIF) is an important late complication of radiation therapy, and the resulting damaging effects of RIF can...
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Retrospective evaluation of the contribution of radiotherapy to survival in breast cancer treatment with propensity score based on stage and subgroup
BackgroundBreast cancer has been a disease in which treatment strategy has changed over time under the influence of different hypotheses and evidence...
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Quantitative parameter analysis of pretreatment dual-energy computed tomography in nasopharyngeal carcinoma cervical lymph node characteristics and prediction of radiotherapy sensitivity
BackgroundTreatment efficacy may differ among patients with nasopharyngeal carcinoma (NPC) at similar tumor–node–metastasis stages. Moreover,...
