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Medical Imaging in the Diagnosis of Schistosomiasis: A Review
- Source :
- Pathogens, Pathogens, Vol 10, Iss 1058, p 1058 (2021)
- Publication Year :
- 2021
- Publisher :
- MDPI, 2021.
-
Abstract
- Schistosomiasis is one of the most important parasitic diseases and it is endemic in tropical and subtropical areas. Clinical and laboratory data are fundamental for the diagnosis of schistosomiasis, but diagnostic imaging techniques such as x-rays, ultrasound (US), computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography/computed tomography (PET/CT) may be helpful in the evaluation of disease severity and complications. In this context, the aim of this review is to explore the actual role of diagnostic imaging in the diagnosis of schistosomiasis, underlining advantages and drawbacks providing information about the utilization of diagnostic imaging techniques in this context. Furthermore, we aim to provide a useful guide regarding imaging features of schistosomiasis for radiology and nuclear medicine physicians of non-endemic countries: in fact, in the last years non-endemic countries have experienced important flows of migrants from endemic areas, therefore it is not uncommon to face cases of this disease in daily practice.
- Subjects :
- Microbiology (medical)
medicine.medical_specialty
positron emission tomography
diagnostic imaging
Schistosomiasis
Computed tomography
Context (language use)
Disease
Review
positron emission tomography schistosomiasis
Settore MED/36
Disease severity
schistosomiasis
X-rays
Medical imaging
Immunology and Allergy
Medicine
magnetic resonance imaging
Medical physics
Molecular Biology
helminths
General Immunology and Microbiology
medicine.diagnostic_test
computed tomography
ultrasound
business.industry
Magnetic resonance imaging
medicine.disease
Infectious Diseases
Positron emission tomography
business
Subjects
Details
- Language :
- English
- ISSN :
- 20760817
- Volume :
- 10
- Issue :
- 8
- Database :
- OpenAIRE
- Journal :
- Pathogens
- Accession number :
- edsair.doi.dedup.....32b528c6619cf8c376924de468359a27