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العنوان
Correlation between Severity of Lung Disease in COVID-19 Infection and Acute CNS Abnormalities/
المؤلف
Ramadan,Hayam Gamal Abd El Fattah .
هيئة الاعداد
باحث / هيام جمال عبد الفتاح رمضان القصاص
مشرف / ايناس احمد عزب
مشرف / نهال سيد محمد زيدان
تاريخ النشر
2022
عدد الصفحات
154.p;
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الأشعة والطب النووي والتصوير
تاريخ الإجازة
1/1/2022
مكان الإجازة
جامعة عين شمس - كلية الطب - Radiodiagnosis
الفهرس
Only 14 pages are availabe for public view

from 154

from 154

Abstract

Background: Sever acute respiratory syndrome corona virus 2 (SARS-COV 2) began in Wuhan, China, in December 2019 and has rapidly spread around the world to become pandemic, as COVID-19 can produce pathologic changes in chest imaging, COVID-19 related brain imaging findings are also well known.
Aim of the Work: The aim of this current study is to correlate retrospectively between the severity of lung affection in patients with COVID-19 infections and development of acute CNS abnormalities.
Patients and Methods: This study is Retrospective study, the study was conducted at Ain Shams University Hospitals in the period from March 2022 to August 2022 and the main source of data for this study was the archived CT and MRI imaging of the patients referred to the department of Radiology. Our inclusion criteria were patients that diagnosed as sever acute respiratory syndrome corona virus 2 infection associated with acute neurologic manifestation and their chest CT and brain imaging were available. The 5 lobes of the lungs were individually scored on a scale 0-5 (0 correspond to no involvement and 5 > 75% involvement), A CT lung severity score was determined as the sum of lung involvement, ranging from 0 (no involvement) to 25 (maximum involvement).
Results: 55 patients met the inclusion criteria, In attempt to describe and evaluate the neurological symptoms with severity of lung affection in patients with COVID-19, Compared to 20 patients without acute abnormal findings on neuroimaging, there were 35 patients with acute abnormal findings on neuroimaging and those patients were found to have significantly higher mean CT lung severity score (p<0.0001) and they are more likely to present with ischemic stroke (14, 40%), A threshold of CT lung severity score > 18 was found to be 97% sensitive and 90% specific for acute abnormal findings on neuroimaging, the neuroimaging hallmark of these patients were acute ischemic infarcts (40%), invasive fungal sinusitis (22.9.%), Isolated cavernous sinus thrombosis, posterior reversible encephalopathy syndrome (PRES), and vasculitis (each one 8.6%), cerebral venous sinus thrombosis other than cavernous sinus (5.7%), cerebritis and abnormal white matter signal (each one 2.8%).The predominant CT chest findings were peripheral ground -glass opacities with or without consolidation.
Conclusion: The CT lung severity score may be predictive of acute abnormalities on neuroimaging in patients with COVID-19 with neurologic manifestation. This can be used as predictive tool in patients management to improve clinical outcome..