Benefit of dual-layer spectral CT in emergency imaging of different organ systems
| Autor: | Emmanuel Coche, E. Danse, B. Demirler Simsir |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
business.industry
Radiation dose Dual layer Treatment method Contrast Media General Medicine Emergency department 030218 nuclear medicine & medical imaging 03 medical and health sciences Contrast medium 0302 clinical medicine 030220 oncology & carcinogenesis Medicine Humans Radiographic Image Interpretation Computer-Assisted Radiology Nuclear Medicine and imaging business Material decomposition Emergency Service Hospital Tomography X-Ray Computed Effective atomic number Organ system Biomedical engineering |
| Zdroj: | Clinical radiology. 75(12) |
| ISSN: | 1365-229X |
| Popis: | Computed tomography (CT) has been the first choice of imaging technique in the emergency department and has a crucial role in many acute conditions. Since its implementation, spectral CT has gained widespread application with the potential to improve diagnostic performance and impact patient care. In spectral CT, images are acquired at two different energy levels allowing this technique to differentiate tissues by exploiting their energy-dependent attenuation properties. Dual-layer spectral CT provides additional information with its material decomposition applications that include virtual non-contrast imaging, iodine density, and effective atomic number (Zeff) maps along with virtual monoenergetic images without the need for preselection of a protocol. This review aims to demonstrate its added value in the emergency department in different organ systems enabling better evaluation of inflammatory and ischaemic conditions, assessment of organ perfusion, tissue/lesion characterisation and mass detection, iodine quantification, and the use of lower volumes of contrast medium. With improved diagnostic performance, spectral CT could also aid in rapid decision-making to determine the treatment method in many acute conditions without increased radiation dose to the patient. |
| Databáze: | OpenAIRE |
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