This article presented readers with typical enhanced CT and MR images of a patient with epithelioid hemangioendothelioma, and briefly described the pathological mechanisms behind the typical imaging signs, in order to enhance the readers’ understanding and awareness of the typical imaging signs of this rare disease, and thus reduce its underdiagnosis rate and misdiagnosis rate.
Bacomics is a unified framework for the interactions of the brain and the outside world, integrating the subject, method, and application mode of brain-apparatus conversation. This article divides the brain-apparatus conversation modes from the perspective of biological and non-biological apparatus, including the brain-biological organ interaction (BAC-1), brain-external non-living equipment and environment interaction (BAC-2), and the fusion agents of these two interactions (BAC-3), and explains the ways and potential applications in different modes.
Hepatic angiomyolipoma (HAML) is a rare benign mesenchymal tumor of the liver, which has highly variable imaging appearances, often leads to missed diagnosis and misdiagnosis. The images of 2 patients with HAML confirmed by pathology were presented in this study, and the typical imaging features of the HAML, the underlying pathophysiological mechanism, and the differential diagnosis were briefly summarized so as to deepen the understanding of HAML and to improve the diagnosis and differential diagnosis abilities of HAML, then reduce the rates of missed diagnosis and misdiagnosis of the HAML.
Fibropolycystic liver diseases (FLDs) is a rare genetic disorder, including bile duct hamartomas, congenital hepatic fibrosis, polycystic liver disease, Caroli’s disease, and choledochal cysts. Fibropolycystic liver diseases has received little clinical attention and exhibits a variety of imaging manifestations, leading to a high likelihood of missed diagnosis and misdiagnosis. Through this case, we delineate the characteristic imaging manifestations of the disease and its underlying pathological mechanisms. Our objective is to enhance readers' comprehension of the disease and thereby reduce the rate of missed diagnosis and misdiagnosis of the disease.
ObjectiveTo explore the impact of different monochromatic reconstruction on image quality of early lesions of coronavirus disease 2019 (COVID-19).MethodsThe chest spectral CT images of 11 patients confirmed as COVID-19 in West China Hospital of Sichuan University between January and February 2020 were retrospectively analyzed. A total of 34 inflammatory lesions were found in the 11 cases. Seven groups of images were reconstructed from the raw data for each patient, including the conventional polychromatic image and different monochromatic images of 40-140 keV (with intervals of 20 keV). CT and standard deviation (SD) values of all lesions were measured to calculate the signal-noise ratio (SNR) and contrast-noise ratio (CNR). The image quality was subjectively scored by two radiologists, and the differences in image quality among different monochromatic groups and the polychromatic group were compared.ResultsWith the increase of X-ray energy, the CT values and SD values of reconstructed images in monochromatic groups gradually decreased, and the SNRs and CNRs gradually increased, and the differences between adjacent two groups were all statistically significant (P<0.001). In the range of 80-140 keV, the SD values of different monochromatic groups were lower than that of the polychromatic group, and the SNRs and CNRs were higher than those of the polychromatic group, and the pairwise comparison results showed statistically significant differences (P<0.001). The 120 keV-reconstructed image had the highest subjective score, and the difference from that of the polychromatic image was statistically significant (P<0.05).ConclusionsDifferent monochromatic reconstruction of spectral CT can significantly reduce the image noise in early COVID-19 lesions, and improve the image quality. Combining subjective and objective evaluation of images, the 120 keV-reconstructed monochromatic image shows the best early lesions of COVID-19 and is of great significance for early clinical screening.