Articles: cations.
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Critical care medicine · Feb 2023
Observational StudyProspective Real-Time Validation of a Lung Ultrasound Deep Learning Model in the ICU.
To evaluate the accuracy of a bedside, real-time deployment of a deep learning (DL) model capable of distinguishing between normal (A line pattern) and abnormal (B line pattern) lung parenchyma on lung ultrasound (LUS) in critically ill patients. ⋯ A previously validated DL classification model performs equally well in real-time at the bedside when platformed on a portable device. As the first study to test the feasibility and performance of a DL classification model for LUS in a dedicated ICU environment, our results justify further inquiry into the impact of employing real-time automation of medical imaging into the care of the critically ill.
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Middle Meningeal Artery Embolization for Chronic Subdural Hematomas With Concurrent Antithrombotics.
Chronic subdural hematoma (CSDH) is an increasingly prevalent disease in the aging population. Patients with CSDH frequently suffer from concurrent vascular disease or develop secondary thrombotic complications requiring antithrombotic treatment. ⋯ Rapid reinitiation of AT after MMA embolization for CSDH leads to higher rates of recurrence with similar rates of reoperation. Care must be taken when initiating antithrombotics after treatment of CSDH with MMA embolization.
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Laparoscopic hepatectomy for centrally located hepatocellular carcinoma is challenging to perform. Augmented reality navigation (ARN) and fluorescence imaging are currently safe and reproducible techniques for hepatectomy, but the efficacy results for centrally located hepatocellular carcinoma have not been reported. This study aimed to evaluate the efficacy of an ARN system combined with fluorescence imaging (ARN-FI) in laparoscopic hepatectomy for centrally located hepatocellular carcinoma. ⋯ The ARN system and fluorescence imaging may be of value in improving the success rate of surgery, reducing postoperative complications, accelerating postoperative recovery, and shortening postoperative hospital stay.
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The aim of this study was to identify potential biomarkers predictive of healing or failure to heal in a population with venous leg ulceration. ⋯ This study reports a metabolic signature predictive of healing in venous leg ulceration and presents potential translational applications for disease prognostication and development of targeted therapies.