Ultrasound and MRI Findings of Giant Cell Fibroblastoma in the Abdominal Wall: Radiologic-Pathologic Correlations

민, 소윤; 박, 선영; 서, 진원; 고, 성혜; 이, 관섭

doi:10.3348/jksr.2020.81.1.237

Cited by 3 publications

(1 citation statement)

References 9 publications

(26 reference statements)

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“…Purulent meningitis is an acute inflammatory response syndrome caused by the infection of the central nervous system by purulent bacteria or caused by the meninges [ 1 , 2 ]. Severe cases lead to neurological sequelae, and more severe cases can cause death [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Magnetic Resonance Imaging Manifestations of Pediatric Purulent Meningitis Based on Immune Clustering Algorithm

Wei

Guo

et al. 2022

Contrast Media & Molecular Imaging

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The purpose of this study was to analyze the diagnostic value of magnetic resonance imaging (MRI) based on the immune clustering algorithm (ICA) in children with purulent meningitis. In this study, 235 children with suspected pediatric purulent meningitis (PPM) were routinely scanned, and the artificial immune algorithm (AIA) and ICA were applied to image processing. In order to quantitatively analyze the accuracy and precision of the processed image, precision rate was introduced as the evaluation of accuracy, and the True Positive Vis Fox, False Negative Vis Fo, and False Positive Vis Fo were selected as the evaluation indicators. After comparison, the accuracy, sensitivity, and specificity of ICA detection were higher than those of AIA and conventional plain scanning, and the differences were statistically obvious ( P < 0.05 ). Comparison on image display effects showed that compared with AIA, the image processed by the ICA algorithm constructed in this study showed the highest definition and contrast and the best denoising effect and image quality, showing a statistically obvious difference ( P < 0.05 ). All in all, the display effect of MRI images of pediatric purulent meningitis based on ICA was more accurate and clearer than that of the traditional image processing, and it can provide a more accurate auxiliary basis in the diagnosis of lesion details. It also showed a higher clinical value for the development of a diagnosis and treatment plan for complicated PPM.

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Section: Introductionmentioning

confidence: 99%

Magnetic Resonance Imaging Manifestations of Pediatric Purulent Meningitis Based on Immune Clustering Algorithm

Wei

Guo

et al. 2022

Contrast Media & Molecular Imaging

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Update of pediatric soft tissue tumors with review of conventional MRI appearance—part 1: tumor-like lesions, adipocytic tumors, fibroblastic and myofibroblastic tumors, and perivascular tumors

et al. 2021

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Imaging of Pediatric Soft Tissue Tumors and Tumor-like Conditions

Al-Qassab

Lalam

Botchu

et al. 2021

Semin Musculoskelet Radiol

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Lumps and bumps are frequently seen in children, and the vast majority are a result of trauma, infection, or inflammation. True soft tissue neoplastic lesions are rare; however, their wide and complex classifications make these lesions challenging to manage. Imaging features are usually nonspecific, and a reasonable list of differential diagnoses can be generated following consideration of the clinical presentation, age, and anatomical location of the lesion. In this article, we offer a practical approach to diagnosing such lesions by discussing the most common three benign and malignant lesions in different anatomical regions stratified by age with emphasis on certain features that might aid in the diagnosis such as depth, multiplicity, calcification, or other specific imaging feature.

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Ultrasound and MRI Findings of Giant Cell Fibroblastoma in the Abdominal Wall: Radiologic-Pathologic Correlations

Cited by 3 publications

References 9 publications

Magnetic Resonance Imaging Manifestations of Pediatric Purulent Meningitis Based on Immune Clustering Algorithm

Magnetic Resonance Imaging Manifestations of Pediatric Purulent Meningitis Based on Immune Clustering Algorithm

Update of pediatric soft tissue tumors with review of conventional MRI appearance—part 1: tumor-like lesions, adipocytic tumors, fibroblastic and myofibroblastic tumors, and perivascular tumors

Imaging of Pediatric Soft Tissue Tumors and Tumor-like Conditions

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