After a stereotactic brain biopsy of intracranial lesions, many neurosurgeons routinely obtain a noncontrast computed tomographic scan to rule out hemorrhage. We have observed there is often a significant delayed contrast enhancement on this postoperative scan, and the pattern of this enhancement frequently differs from the preoperative pattern. To assess these changes and to determine if they are related to lesion pathology or other clinical factors, the pre- and postoperative scans of 89 patients who underwent stereotactic biopsies were reviewed. Despite an average time delay of 153 minutes between scans, 81% of the lesions enhanced similarly or better on the postbiopsy image. One lesion enhanced only on the postoperative image, and in two cases, new lesions were seen postoperatively. Ring and other enhancing lesions tended to fill in with time, becoming homogeneous. The area of contrast enhancement increased in 83%. The borders of the lesions tended to become less sharp with time. No patterns of delayed enhancement, which give histologically definitive diagnostic information, were found. The tendency toward an increased area of contrast enhancement with time suggests that computed tomographic scans taken at the time of contrast injection may not show the true extent of the lesion. For patients undergoing computed tomography-guided stereotactic biopsies or radiosurgery of poorly enhancing lesions, the localization scan might be delayed after the administration of contrast medium to improve resolution and target selection.
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http://dx.doi.org/10.1227/00006123-199304000-00011 | DOI Listing |
Viruses
December 2024
Department of Experimental and Clinical Medicine, University of Florence, Viale Morgagni 48, I-50134 Florence, Italy.
Background: Understanding the interference patterns of respiratory viruses could be important for shedding light on potential strategies to combat these human infectious agents.
Objective: To investigate the possible interactions between adenovirus type 2 (AdV2), severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and influenza A/H1N1 pandemic (H1N1pdm09) using the A549 cell line.
Methods: Single infections, co-infections, and superinfections (at 3 and 24 h after the first virus infection) were performed by varying the multiplicity of infection (MOI).
Vaccines (Basel)
December 2024
ICF International, Rockville, MD 20850, USA.
Background/objectives: Understanding attitudes and behaviors related to vaccination is critical for enhancing COVID-19 vaccination acceptance and reducing disparities in vaccination coverage. This study examines disparities in vaccine-related attitudes and COVID-19 vaccine hesitancy in the United States in relation to community-level social vulnerability.
Methods: This study analyzed cross-sectional national surveys conducted repeatedly between July 2020 and August 2021 ( = 6716).
Vaccines (Basel)
November 2024
Ribeirão Preto College of Nursing, Campus Ribeirão Preto, University of Sao Paulo, Ribeirão Preto 14040-902, SP, Brazil.
COVID-19 is an infectious disease whose prevention is significantly aided by vaccination, which reduces both case severity and mortality. Despite the safety and efficacy of vaccines, acceptance is not universal, and understanding of the factors influencing vaccination decisions and hesitancy remains limited. This review aims to identify and analyze studies addressing two key questions: what influences the decision to vaccinate and what factors are associated with vaccine hesitancy.
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December 2024
Division of Computer Science & Artificial Intelligence, Dongguk University, Seoul 04620, Republic of Korea.
Anomaly detection is critical in safety-sensitive fields, but faces challenges from scarce abnormal data and costly expert labeling. Time series anomaly detection is relatively challenging due to its reliance on sequential data, which imposes high computational and memory costs. In particular, it is often composed of real-time collected data that tends to be noisy, making preprocessing an essential step.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China.
Makeup modifies facial textures and colors, impacting the precision of face anti-spoofing systems. Many individuals opt for light makeup in their daily lives, which generally does not hinder face identity recognition. However, current research in face anti-spoofing often neglects the influence of light makeup on facial feature recognition, notably the absence of publicly accessible datasets featuring light makeup faces.
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