Introduction: Chest radiology provides an opportunity to better understand the diagnostic characteristics of e-cigarette or vaping product use associated lung injury (EVALI). This systematic review aimed to summarize the radiological findings associated with EVALI reported in the literature.
Methods: This systematic review was conducted in accordance with PRISMA guidelines. Electronic searches of MEDLINE®, CINAHL, Embase® and CENTRAL were conducted in February 2020. Included were all English-language studies reporting radiological findings of EVALI. Data was synthesized using descriptive statistics.
Results: Thirty studies comprising 184 participants were included. Mean patient age was 24.5 years old. The majority (n = 141, 76.6%) of included patients were male. The most common radiological features reported on chest x-ray were bilateral infiltrates (n = 64, 41.3%) and ground glass opacities (n = 17, 11.0%), and on chest CT were bilateral infiltrates (n = 62, 36.9%), bilateral ground glass opacities (n = 56, 33.3%), subpleural sparing (n = 29, 17.3%), pleural effusions (n = 14, 8.3%), and centrilobular nodularity (n = 13, 7.7%). Of patients with follow-up data reported (n = 81), only 28.4% (n = 23) had complete resolution of symptoms or radiological findings.
Conclusion: Chest radiology is the cornerstone of diagnosis and monitoring of EVALI. A wide variety of radiological findings highlight the need for standardisation of terminology in the radiological descriptions of EVALI. Common findings included bilateral infiltrates and ground glass opacities. Higher quality evidence is warranted to help develop evidenced-based guidelines for the diagnosis and management of EVALI.
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http://dx.doi.org/10.1016/j.hrtlng.2021.05.004 | DOI Listing |
Sci Rep
December 2024
Medical Image Analysis, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Immune checkpoint inhibitor (ICI) treatment has proven successful for advanced melanoma, but is associated with potentially severe toxicity and high costs. Accurate biomarkers for response are lacking. The present work is the first to investigate the value of deep learning on CT imaging of metastatic lesions for predicting ICI treatment outcomes in advanced melanoma.
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December 2024
Institute of Informatics, HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland, Sierre, Switzerland.
Manual segmentation of lesions, required for radiotherapy planning and follow-up, is time-consuming and error-prone. Automatic detection and segmentation can assist radiologists in these tasks. This work explores the automated detection and segmentation of brain metastases (BMs) in longitudinal MRIs.
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December 2024
Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, 61005, South Korea.
In optical imaging of solid tumors, signal contrasts derived from inherent tissue temperature differences have been employed to distinguish tumor masses from surrounding tissue. Moreover, with the advancement of active infrared imaging, dynamic thermal characteristics in response to exogenous thermal modulation (heating and cooling) have been proposed as novel measures of tumor assessment. Contrast factors such as the average rate of temperature changes and thermal recovery time constants have been investigated through an active thermal modulation imaging approach, yielding promising tumor characterization results in a xenograft mouse model.
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December 2024
Cancer Center, Department of Neurosurgery, Zhejiang Provincial People's Hospital,Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.
Approximately 90% of glioblastoma recurrences occur in the peritumoral brain zone (PBZ), while the spatial heterogeneity of the PBZ is not well studied. In this study, two PBZ tissues and one tumor tissue sample are obtained from each patient via preoperative imaging. We assess the microenvironment and the characteristics of infiltrating immune/tumor cells using various techniques.
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December 2024
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.
Probing regional glycogen metabolism in humans non-invasively has been challenging due to a lack of sensitive approaches. Here we studied human muscle glycogen dynamics post-exercise with a spatial resolution of millimeters and temporal resolution of minutes, using relayed nuclear Overhauser effect (glycoNOE) MRI. Data at 5T showed a homogeneous distribution of glycogen in resting muscle, with an average concentration of 99 ± 13 mM.
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