Imaging features, therapies, and outcomes of fibrosing inflammatory pseudotumor of the nasopharynx: A systematic review

2021 ◽  
Author(s):  
Shruti Mishra ◽  
Chong Hyun Suh ◽  
Regan W Bergmark ◽  
Vickie Y Jo ◽  
Edison K Miyawaki ◽  
...  
Keyword(s):  
Systematic Review ◽  
Inflammatory Pseudotumor ◽  
Imaging Features

scholarly journals Imaging features of inflammatory pseudotumor-like follicular dendritic cell sarcoma of the spleen

2021 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Nianyu Xue ◽  
Xiaogang Xue ◽  
Changrui Sheng ◽  
Minli Lu ◽  
Yifei Wang ◽  
...  
Keyword(s):  
Dendritic Cell ◽  
Inflammatory Pseudotumor ◽  
Follicular Dendritic Cell ◽  
Imaging Features ◽  
Follicular Dendritic Cell Sarcoma ◽  
Cell Sarcoma ◽  
Dendritic Cell Sarcoma ◽  
Follicular Dendritic

Sinonasal and ventral skull base Inflammatory pseudotumor: A systematic review

2014 ◽  
Vol 125 (4) ◽  
pp. 813-821 ◽  
Author(s):  
Stuti V. Desai ◽  
Eleonora F. Spinazzi ◽  
Christina H. Fang ◽  
Grace Huang ◽  
Senja Tomovic ◽  
...  
Keyword(s):  
Systematic Review ◽  
Skull Base ◽  
Inflammatory Pseudotumor ◽  
Ventral Skull Base

Imaging Features of HER2 Overexpression in Breast Cancer: A Systematic Review and Meta-analysis

2014 ◽  
Vol 23 (8) ◽  
pp. 1464-1483 ◽  
Author(s):  
Sjoerd G. Elias ◽  
Arthur Adams ◽  
Dorota J. Wisner ◽  
Laura J. Esserman ◽  
Laura J. van't Veer ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Meta Analysis ◽  
Her2 Overexpression ◽  
Imaging Features

scholarly journals Prenatal imaging features and postnatal outcomes of isolated fetal duplex renal collecting system: A systematic review and meta‐analysis

2020 ◽  
Vol 40 (4) ◽  
pp. 424-431
Author(s):  
Francesca Bascietto ◽  
Asma Khalil ◽  
Giuseppe Rizzo ◽  
Alexander Makatsariya ◽  
Danilo Buca ◽  
...  
Keyword(s):  
Systematic Review ◽  
Meta Analysis ◽  
Imaging Features ◽  
System A ◽  
Prenatal Imaging ◽  
Collecting System

scholarly journals Clinical, laboratory and imaging features of COVID-19: A systematic review and meta-analysis

2020 ◽  
Vol 34 ◽  
pp. 101623 ◽  
Author(s):  
Alfonso J. Rodriguez-Morales ◽  
Jaime A. Cardona-Ospina ◽  
Estefanía Gutiérrez-Ocampo ◽  
Rhuvi Villamizar-Peña ◽  
Yeimer Holguin-Rivera ◽  
...  
Keyword(s):  
Systematic Review ◽  
Clinical Laboratory ◽  
Meta Analysis ◽  
Imaging Features

scholarly journals Correction: Imaging features of intracerebral hemorrhage with cerebral amyloid angiopathy: Systematic review and meta-analysis

PLoS ONE ◽  
2017 ◽  
Vol 12 (10) ◽  
pp. e0187386
Author(s):  
Neshika Samarasekera ◽  
Mark Alexander Rodrigues ◽  
Pheng Shiew Toh ◽  
Rustam Al-Shahi Salman
Keyword(s):  
Systematic Review ◽  
Intracerebral Hemorrhage ◽  
Cerebral Amyloid Angiopathy ◽  
Meta Analysis ◽  
Amyloid Angiopathy ◽  
Imaging Features ◽  
Cerebral Amyloid

Biliary Inflammatory Pseudotumor: Imaging Features in Seven Patients

2007 ◽  
Vol 188 (1) ◽  
pp. W44-W48 ◽  
Author(s):  
Mitchell E. Tublin ◽  
A. James Moser ◽  
J. Wallis Marsh ◽  
Thomas Clark Gamblin
Keyword(s):  
Inflammatory Pseudotumor ◽  
Imaging Features

scholarly journals Leptomeningeal Enhancement in Multiple Sclerosis and Other Neurological Diseases: A Systematic Review and Meta-Analysis

2021 ◽  
Author(s):  
Benjamin Victor Ineichen ◽  
Charidimos Tsagkas ◽  
Martina Absinta ◽  
Daniel S Reich
Keyword(s):  
Multiple Sclerosis ◽  
Systematic Review ◽  
Neurological Diseases ◽  
Meta Analysis ◽  
Mean Difference ◽  
Clinical Settings ◽  
Imaging Features ◽  
Qualitative Synthesis ◽  
Leptomeningeal Enhancement ◽  
Relapsing Remitting

Background: The lack of systematic evidence on leptomeningeal enhancement (LME) on MRI in neurological diseases, including multiple sclerosis (MS), hampers its interpretation in clinical routine and research settings. Purpose: To perform a systematic review and meta-analysis of MRI LME in MS and other neurologi-cal diseases. Materials and Methods: In a comprehensive literature search in Medline, Scopus, and Embase, out of 2292 publications, 459 records assessing LME in neurological diseases were eligible for qualitative synthesis. Of these, 135 were included in a random effects model meta-analysis with subgroup analyses for MS. Results: Of eligible publications, 161 investigated LME in neoplastic neurological (n=2392), 91 in neuroinfectious (n=1890), and 75 in primary neuroinflammatory diseases (n=4038). The LME proportions for these disease classes were 0.47 [95%CI: 0.37 to 0.57], 0.59 [95%CI: 0.47 to 0.69], and 0.26 [95%CI: 0.20 to 0.35], respectively. In a subgroup analysis comprising 1605 MS cases, LME proportion was 0.30 [95%CI 0.21 to 0.42] with lower proportions in relapsing-remitting (0.19 [95%CI 0.13 to 0.27]) compared to progressive MS (0.39 [95%CI 0.30 to 0.49], p=0.002) and higher proportions in studies imaging at 7T (0.79 [95%CI 0.64 to 0.89]) compared to lower field strengths (0.21 [95%CI 0.15 to 0.29], p<0.001). LME in MS was associated with longer disease duration (mean difference 2.2 years [95%CI 0.2 to 4.2], p=0.03), higher Expanded Disability Status Scale (mean difference 0.6 points [95%CI 0.2 to 1.0], p=0.006), higher T1 (mean difference 1.6ml [95%CI 0.1 to 3.0], p=0.04) and T2 lesion load (mean difference 5.9ml [95%CI 3.2 to 8.6], p<0.001), and lower cortical volume (mean difference -21.3ml [95%CI -34.7 to -7.9], p=0.002). Conclusions: Our study provides high-grade evidence for the substantial presence of LME in MS and a comprehensive panel of other neurological diseases. Our data could facilitate differential diagnosis of LME in clinical settings. Additionally, our meta-analysis corroborates that LME is associ-ated with key clinical and imaging features of MS. PROSPERO No: CRD42021235026.

scholarly journals The eyes see what the mind seeks: a systematic review of abdominal imaging findings in patients with COVID-19

2021 ◽  
pp. 20201220
Author(s):  
Lokesh Agarwal ◽  
Ayushi Agarwal ◽  
Shailesh Advani ◽  
Varidh Katiyar ◽  
Aprajita Chaturvedi ◽  
...  
Keyword(s):  
Systematic Review ◽  
Abdominal Imaging ◽  
World Health ◽  
Common Finding ◽  
Wall Thickening ◽  
Solid Organ ◽  
Imaging Features ◽  
Imaging Findings ◽  
Gi Symptoms ◽  
Insight Into

Objectives: With the increasing recognition of gastrointestinal (GI) manifestation of coronavirus disease-19 (COVID-19), various abdominal imaging findings are increasingly being noted. We scoped the existing literature on the abdominal imaging findings in COVID-19. Methods: A systematic literature search was performed on PubMed, Embase, Google scholar and World Health Organization COVID-19 database. Results: 35 studies were included in the final descriptive synthesis. Among the studies reporting positive abdominal imaging findings in patients with COVID-19, majority described imaging abnormalities of the GI tract (16 studies), of which bowel wall thickening was most frequently reported. Other findings noted were abdominal imaging manifestations of bowel ischemia with thrombosis of the splanchnic vasculature, and imaging features suggestive of pancreatitis. Imaging findings suggestive of solid organ infarction were reported in nine studies. An association between imaging evidence of hepatic steatosis and COVID-19 was noted in three studies. Incidental lung base findings on abdominal imaging were noted in 18 studies, where patients presented with predominant GI symptoms. The most common finding was bilateral ground glass opacities (90.7%) with predominant multilobar (91.1%) and peripheral (64.4%) distribution. Conclusion: This systematic review provides insight into the abdominal imaging findings in patients with COVID-19. Knowledge of these imaging manifestations will not only help in further research but also will aid in curtailing transmission of the SARS-CoV-2. Further prospective studies are needed to gain better insight into the pathophysiology of these imaging manifestations. Advances in knowledge: This review highlights the abdominal imaging findings in patients with COVID-19, to gain insight into the disease pathophysiology and gear the abdominal radiologist through the pandemic.

scholarly journals Pediatric lung imaging features of COVID‐19: A systematic review and meta‐analysis

2020 ◽  
Vol 56 (1) ◽  
pp. 252-263
Author(s):  
Gustavo Nino ◽  
Jonathan Zember ◽  
Ramon Sanchez‐Jacob ◽  
Maria J. Gutierrez ◽  
Karun Sharma ◽  
...  
Keyword(s):  
Systematic Review ◽  
Meta Analysis ◽  
Lung Imaging ◽  
Imaging Features
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