European journal of radiology
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To evaluate the efficacy of optimized T1-Perfusion MRI protocol (protocol-2) with whole brain coverage and improved spatial resolution using Compressed-SENSE (CSENSE) to differentiate high-grade-glioma (HGG) and low-grade-glioma (LGG) and to compare it with the conventional protocol (protocol-1) with partial brain coverage used in our center. ⋯ CSENSE (R = 4) can be used to improve the resolution and brain coverage for T1-Perfusion analysis used to differentiate gliomas.
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Meta Analysis Comparative Study
Systematic review and meta-analysis of whole-body computed tomography compared to conventional radiological procedures of trauma patients.
The superior diagnostic accuracy of CT makes it an attractive tool for initial trauma imaging. This meta-analysis aimed to assess the evidence regarding the value of whole-body CT (WBCT) as part of the primary survey, in comparison to conventional radiological procedures. ⋯ This review demonstrates that WBCT markedly reduces time spent in ED. No significant differences in mortality rate are suggested. WBCT currently entails greater radiation dose and mechanical ventilation time. Further research is necessitated to address limitations of predominately retrospective observational data available.
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To develop and externally validate an MR-based radiomics nomogram from retrospective multicenter datasets for pretreatment prediction of early relapse (≤ 1 year) in osteosarcoma after surgical resection. ⋯ The proposed MRI-based radiomics nomogram could provide a non-invasive tool to predict early relapse of osteosarcoma, which has the potential to improve personalized pretreatment management of osteosarcoma.
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Observational Study
Spectrum of chest computed tomographic (CT) findings in coronavirus disease-19 (COVID-19) patients in India.
To report the spectrum of chest computed tomographic (CT) imaging findings in coronavirus disease-19 (COVID-19) infected Indian patients. ⋯ In this study population predominantly with mild symptoms and few comorbidities, two-thirds of RT-PCR positive patients had a normal chest CT; whereas the remaining patients showed typical findings of predominant GGOs with a bilateral distribution and peripheral predominance.
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Artificial intelligence (AI) will continue to cause substantial changes within the field of radiology, and it will become increasingly important for clinicians to be familiar with several concepts behind AI algorithms in order to effectively guide their clinical implementation. This review aims to give medical professionals the basic information needed to understand AI development and research. The general concepts behind several AI algorithms, including their data requirements, training, and evaluation methods are explained. The potential legal implications of using AI algorithms in clinical practice are also discussed.