Objectives: We aimed to develop machine learning (ML) models based on diffusion- and perfusion-weighted imaging fusion (DP fusion) for identifying stroke within 4.5 h, to compare them with DWI- and/or PWI-based ML models, and to construct an automatic segmentation-classification model and compare with manual labeling methods.
Methods: ML models were developed from multimodal MRI datasets of acute stroke patients within 24 h of clear symptom onset from two centers.
Purpose: To develop and evaluate deep learning models for the detection and semiquantitative analysis of cardiomegaly, pneumothorax, and pleural effusion on chest radiographs.
Materials And Methods: In this retrospective study, models were trained for lesion detection or for lung segmentation. The first dataset for lesion detection consisted of 2838 chest radiographs from 2638 patients (obtained between November 2018 and January 2020) containing findings positive for cardiomegaly, pneumothorax, and pleural effusion that were used in developing Mask region-based convolutional neural networks plus Point-based Rendering models.
Objectives: To investigate the predictors for the occurrence of intracranial hemorrhage (ICH) after endovascular thrombectomy (EVT) therapy in acute ischemic stroke (AIS) patients.
Methods: Patients with AIS who underwent EVT and bridging therapy were enrolled retrospectively. ICH was evaluated on follow-up noncontrast CT or MRI.
Background: We assessed whether diffusion-weighted imaging (DWI) volume was associated with fluid-attenuated inversion recovery vascular hyperintensities (FVH)-DWI mismatch and functional outcome in patients with acute stroke who received endovascular therapy (EVT).
Methods: Fifty-three acute stroke patients who received EVT were enrolled. FVH-DWI mismatch, DWI volume on admission, DWI volume on follow-up, DWI volume growth, the functional outcome at 3 months (mRS) and other clinical data were collected.
The value of fluid-attenuated inversion recovery vascular hyperintensity (FVH)-diffusion-weighted imaging (DWI)mismatch in predicting outcome with acute stroke is unclear. We assessed the association between FVH-DWI mismatch and functional outcome in patients with acute stroke patients receiving endovascular therapy. FVH-DWI mismatch, DWI volume, the functional outcome at 3 months (modified Rankin scale; mRS) and other clinical data were collected for 59 acute stroke patients receiving MRI within 6 h before endovascular therapy.
View Article and Find Full Text PDFPurpose: Mild traumatic brain injury is known to have frequent cognitive impairment. Accumulating evidence is pointing to the malfunctioning of the substantia nigra (SN) as an important factor for head trauma. However, it remains unknown whether changes in the SN-based resting state functional connectivity following mTBI at acute stage and its relationship with cognitive function.
View Article and Find Full Text PDFPurpose: Fluid-attenuated inversion recovery vascular hyperintensity (FVH) is frequently found in stroke patients after intracranial arterial occlusion, but the prognostic value of FVH findings is unclear. We assessed whether FVH is associated with cerebral collateral status and functional outcome in patients with acute stroke patients receiving endovascular therapy.
Methods: FVH score, American Society of Interventional and Therapeutic Neuroradiology (ASITN) grade, the functional outcome at 3 months (modified Rankin Scale (mRS)), and other clinical data were collected for 37 acute stroke patients with large vessel occlusion (LVO) receiving MRI before and after endovascular therapy.
The capillary discharge triggered by a pulse source can produce a certain length of plasma jet. In this paper, the physical process of the capillary discharge jet is analyzed, and it is pointed out that the capillary plasma-jet length is significantly affected by the expansion pressure caused by the arc discharge in the capillary chamber. The greater the pressure in the capillary chamber is, the longer the jet length.
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