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Challenges within controlling acute myocardial infarction throughout Covid-19 outbreak.
We developed a fully automated, two-step deep learning approach for characterizing coronary calcified plaque in intravascular optical coherence tomography (IVOCT) images. First, major calcification lesions were detected from an entire pullback using a 3D convolutional neural network (CNN). Second, a SegNet deep learning model with the Tversky loss function was used to segment calcified plaques in the major calcification lesions. The fully connected conditional random field and the frame interpolation of the missing calcification frames were used to reduce classification errors. We trained/tested the networks on a large dataset comprising 8,231 clinical images from 68 patients with 68 vessels and 4,320 ex vivo cadaveric images from 4 hearts with 4 vessels. The 3D CNN model detected major calcifications with high sensitivity (97.7%), specificity (87.7%), and F1 score (0.922). Compared to the standard one-step approach, our two-step deep learning approach significantly improved sensitivity (from 77.5% to 86.2%), precision (from 73.5% to 75.8%), and F1 score (from 0.749 to 0.781). We investigated segmentation performance for varying numbers of training samples; at least 3,900 images were required to obtain stable segmentation results. We also found very small differences in calcification attributes (e.g., angle, thickness, and depth) and identical calcium scores on repetitive pullbacks, indicating excellent reproducibility. Applied to new clinical pullbacks, our method has implications for real-time treatment planning and imaging research.Cranial epidural hematoma is a serious event requiring immediate intervention. This can be due to sudden traction tearing the vessels between the dura and the skull. During posterior fossa surgery, brain collapse may emerge due to the sudden reduction of prolonged elevated intracranial pressure; it could cause dura-skull detachment to create epidural hematoma even far from the surgical site. Hence, we should be aware of this complication when approaching posterior fossa tumors as it frequently leads to severe neurologic impairment or death. Here, we report a 12-year old previously healthy child who was admitted with a 4-month history of severe headache, vomiting, and right eye blindness due to increased intracranial pressure. A brain Computed Tomography (CT) scan showed obstructive hydrocephalus, and contrast-enhanced Magnetic Resonance Imaging (MRI) confirmed intraventricular posterior fossa tumor. After tumor resection, the patient developed an epidural hematoma far from the surgery site. Removal of the hematoma exposed lacerations of superior sagittal sinus due to dural detachment. Failure to control intracranial pressure resulted in a fatal outcome.Aim The correlation between the MLC QA (IBA Dosimetry, Germany) results of the picket fence test created with intentional errors and the patient's quality assurance (QA) evaluation was investigated to assess the impact of multileaf collimator (MLC) positioning error on patient QA. Materials and methods The picket fence, including error-free and intentional MLC errors, defined in Bank In, Bank Out, and Bank Both were analyzed using MLC QA. The QA of 15 plans consisting of stereotactic radiosurgery (SRS), stereotactic body radiotherapy (SBRT), and conventionally fractionated volumetric-modulated arc therapy (VMAT) acquired with electronic portal imaging devices (EPID) was evaluated in the presence of error-free and MLC errors. The QA of plans were analyzed with 2%/2 mm and 3%/3 mm criteria. Results The passing rates of the picket fence test were 97%, 92%, 91%, and 87% for error-free and intentional errors. The criterion of 3%/3 mm wasn't able to detect an MLC error for either SRS/SBRT or conventionally fractionated VMAT. The criterion of 2%/2mm was more sensitive to detect MLC error for the conventionally fractionated VMAT than SRS/SBRT. While only two of SBRT plans had less then 90%, four of conventionally fractionated VMAT plans had a less then 90% passing rate. Conclusion We found that the systematic MLC positioning errors defined with picket fence have a smaller but measurable impact on SRS/SBRT than the VMAT plan for a conventionally fractionated and relatively complex plan such as head and neck and endometrium cases.Purpose To assess ophthalmologists' preparedness in such a critical period in the history of pandemics, a logical socio-psychological framework assessment using the health belief model (HBM) is essential to evaluate their risk perception, their willingness to actively participate in engaging in protective health behavior and acknowledge its benefits, and their capability to perform adequate successful methods for limiting the spread of coronavirus disease 2019 (COVID-19) and overcome the barriers they might encounter while implementing such precautions. Methods A cross-sectional study conducted at King Khaled Eye Specialist Hospital using a questionnaire-based (HBM) was distributed to 135 ophthalmologists in the institute to evaluate their risk perception of COVID-19 and determine which components of the HBM contribute to preventive health behavior related to the COVID-19 infection. Results The questionnaire had a reasonable response rate (79.3%, 107 ophthalmologists, including 48 consultants, 51 fellows, and 36 residents). The study demonstrated that this model is useful and mapped how several components were significantly correlated to actions. Most significantly, perceived susceptibility was the most important predictor of action. FDA approved Drug Library cell line The second most important determinant of action was the perceived benefit. Conclusion Pandemics such as COVID-19 are likely to happen again in the future. Explicit attention to factors influencing motivation such as threat perception to adopt appropriate health-related behavior to limit the spread of communicable diseases is necessary. This study has successfully represented preparedness and risk behavior perception of ophthalmologists of the novel COVID-19 pandemic in one of the largest tertiary eye hospitals in the Middle East using the Health Belief Model.The classic symptoms of meningismus, including fever, neck stiffness, and headache, should automatically trigger a prime differential of meningitis, but a close masquerader, albeit rare, is crowned dens syndrome. Herein, we report the case of a 71-year-old woman with clinical features of meningismus with elevated inflammatory biomarkers. However, computed tomography of the cervical spine revealed the presence of calcium deposits encircling the dens. Hence, an alternate diagnosis of crowned dens syndrome was considered. This was confirmed by the presence of similar pathology in other joints and the dramatic resolution of symptoms and inflammatory markers with the administration of nonsteroidal anti-inflammatory drugs.
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