| Autor: |
Amit Gupta, MD, Elias George Kikano, MD, Aekta Gupta, MD, Christopher Di Felice, MD, Robert Gilkeson, MD, Kai Roman Laukamp, MD |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Radiology Case Reports, Vol 15, Iss 7, Pp 966-969 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
1930-0433 |
| DOI: |
10.1016/j.radcr.2020.04.049 |
| Popis: |
Conventional computed tomography (CT) plays an important role in detection of lung nodules. However, further characterization is usually limited requiring additional imaging and invasive work up. Spectral Detector CT (SDCT) is an upcoming novel modality that not only allows morphological evaluation but also provides insight into prediction of malignant behavior of lung nodules. Additional quantification capabilities available from the same scan make it a more comprehensive imaging option in oncology patients. This is a first case report demonstrating the potential of single SDCT to provide necessary information for lung cancer diagnosis and preoperative planning, comparable to standard of care imaging. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
