Ultrasound quarterly
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Ultrasound quarterly · Jun 2020
Observational StudyLung Ultrasonography as an Accurate Diagnostic Method for the Diagnosis of Community-Acquired Pneumonia in the Elderly Population.
Community-acquired pneumonia (CAP) is one of the most common causes of both hospitalization and death in elderly patients. The chest x-ray (CXR) is nowadays still the imaging method of choice for patients suspected of having pneumonia. However, the sensitivity of CXR, particularly bedside chest radiography, is relatively low. ⋯ Sensitivity and specificity of LUS in pneumonia diagnosis were, respectively, 99% and 98.7%, whereas CXR sensitivity and specificity were 56.5% and 100%, respectively. The positive and negative predictive values of LUS were 99% and 98.7%, whereas, for CXR, they were 100% and 60.3%, respectively. Lung ultrasonography proved to be more effective at revealing pulmonary inflammatory lesions as compared with CXR in elderly patients suspected of pneumonia.
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Ultrasound quarterly · Jun 2020
Thyroid Nodule Malignancy Risk Stratification Using a Convolutional Neural Network.
This study evaluates the performance of convolutional neural networks (CNNs) in risk stratifying the malignant potential of thyroid nodules alongside traditional methods such as American College of Radiology Thyroid Imaging Reporting and Data System (ACR TIRADS). The data set consisted of 651 pathology-proven thyroid nodules (500 benign, 151 malignant) from 571 patients collected at a single tertiary academic medical center. Each thyroid nodule consisted of two orthogonal views (sagittal and transverse) for a total of 1,302 grayscale images. ⋯ Convolutional neural network malignancy scores correlated well with TIRADS levels, as malignancy scores ranged from 0.194 for TR1 nodules and 0.519 for TR5 nodules. Convolutional neural networks can be trained to generate accurate malignancy risk scores for thyroid nodules. These predictive models can aid in risk stratifying thyroid nodules alongside traditional professional guidelines such as TIRADS and can function as an adjunct tool for the radiologist when identifying those patients requiring further histopathologic workup.