Pediatric renal leukemia: spectrum of CT imaging findings

2008 ◽  
Vol 38 (4) ◽  
pp. 424-430 ◽  
Author(s):  
Melissa A. Hilmes ◽  
Jonathan R. Dillman ◽  
Rajen J. Mody ◽  
Peter J. Strouse
Keyword(s):  
Author(s):  
Jessie Z. Ramírez Calderón ◽  
Elena Martínez Chamorro ◽  
Laín Ibáñez Sanz ◽  
José C. Albillos Merino ◽  
Susana Borruel Nacenta

Medicine ◽  
2019 ◽  
Vol 98 (32) ◽  
pp. e16743
Author(s):  
Xiaofei Liu ◽  
Wenhua Zhu ◽  
Xiaohong Zhou ◽  
Hao Yao ◽  
Jiagui Su ◽  
...  

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Thomas W. Barber ◽  
Martin H. Cherk ◽  
Anne Powell ◽  
Kenneth S. K. Yap ◽  
Baki Billah ◽  
...  

2021 ◽  
Vol 8 (12) ◽  
pp. 673-676
Author(s):  
Arzu İrvem ◽  
Abdurrahman Sarmış ◽  
Özlem Akgün Doğan ◽  
Jale Yıldız ◽  
Zafer Habib ◽  
...  

Objective: COVID-19 has been detected in Turkey since March 11, 2020. Istanbul has become an important center of the pandemic in Turkey. Various risk factors for COVID-19 infection, mortality, and morbidity are under investigation. Recent studies have suggested that certain blood groups are risk factors for the disease. The aim of this study is the evaluation the relationship between blood groups and the risk of contracting COVID-19 disease, clinical severity of the disease, and CT (computed tomography) imaging findings. Material and Methods: Age, gender, blood group data, clinical severity and CT images of 300 patients who were positive with RT PCR (Reverse transcription-polymerase chain reaction) and were followed up in the clinic were retrospectively scanned and recorded. The clinical severity of the disease and CT imaging findings were scored, and the data were evaluated statistically. Results: While the incidence of COVID-19 was high in the A blood group, it was low in the 0 blood group. Although there was no significant difference between blood types and clinical severity, the involvement in the B blood group was more severe on CT imaging. Conclusion: People with A blood group should pay more attention to protection and isolation. Investigating this difference and underlying pathogenic mechanisms can guide science with advanced studies.


2020 ◽  
Vol 93 (1113) ◽  
pp. 20200401
Author(s):  
Mohab M Elmohr ◽  
Khaled M Elsayes ◽  
Perry J Pickhardt

The general appearance of peritoneal carcinomatosis at abdominal CT and other cross-sectional imaging modalities consists of varying amounts of peritoneal-based soft tissue implants (mass-forming or infiltrative), peritoneal fluid, and occasionally calcification. However, a wide variety of common and uncommon neoplastic and non-neoplastic conditions can closely mimic peritoneal carcinomatosis at imaging. Neoplastic mimics of peritoneal carcinomatosis include primary peritoneal and sub peritoneal tumors, as well as peritoneal lymphomatosis and sarcomatosis. Broad categories of non-neoplastic mimics of peritoneal carcinomatosis include tumor-like conditions, systemic processes, atypical infections, and fat-based conditions. For many entities, suggestive or specific patient information and/or CT imaging findings exist that may allow the radiologist to narrow the differential diagnosis. In this article, we review the salient clinical and cross-sectional imaging features of non-neoplastic mimics of peritoneal carcinomatosis and malignancy, with emphasis on the CT findings and the additional clues that may suggest the correct benign diagnosis.


2012 ◽  
Vol 32 (3) ◽  
pp. 216-220
Author(s):  
Seiji Tsutsumi ◽  
Ayako Maekawa ◽  
Miyuki Obata ◽  
Timothy Morgan ◽  
Stephen P. Robertson ◽  
...  

2017 ◽  
Vol 3 (3) ◽  
pp. 20170006
Author(s):  
Mohamad Syafeeq Faeez Md Noh ◽  
Anna Misyail Abdul Rashid ◽  
Aida AR ◽  
Norafida B ◽  
Yusri Mohammed ◽  
...  
Keyword(s):  

2015 ◽  
Vol 39 (2) ◽  
pp. 186-193
Author(s):  
Lily M. Belfi ◽  
Roger J. Bartolotta ◽  
Michael L. Loftus ◽  
Christopher Wladyka ◽  
Keith D. Hentel
Keyword(s):  

2011 ◽  
Vol 84 (998) ◽  
pp. e38-e40 ◽  
Author(s):  
E Chang ◽  
C Santillan ◽  
M K O'Boyle

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