Value of spectral detector computed tomography to differentiate infected from noninfected thoracoabominal fluid collections
- PMID: 34808580
- DOI: 10.1016/j.ejrad.2021.110037
Value of spectral detector computed tomography to differentiate infected from noninfected thoracoabominal fluid collections
Abstract
Purpose: To investigate the diagnostic value of spectral detector CT (SDCT)-derived virtual non-contrast (VNC), virtual monoenergetic images (VMI) and iodine overlays (IO) for distinguishing infected from noninfected fluid collections (FC) in the chest or abdomen.
Method: This retrospective study included 58 patients with venous phase SDCT with 77 FC. For all included FC, microbiological analysis of aspirated fluid served as reference. For quantitative analysis, wall thickness was measured, and (ROI)-based analysis performed within the fluid, the FC's wall (if any) and the aorta. Two radiologists qualitatively evaluated visibility of wall enhancement, diagnostic confidence regarding infection of fluid collection, confidence of CT-guided drainage catheter placement and visibility of anatomical landmarks in conventional images (CI) and VNC, VMI40keV, IO.
Results: Wall thickness significantly differed between infected (n = 46) and noninfected (n = 31) FC (3.5 ± 1.8 mm vs. 1.4 ± 1.8 mm, AUC = 0.81; p < 0.05). Fluid attenuation and wall enhancement was significantly higher in infected as compared to noninfected FC in all reconstructions (p < 0.05, respectively). Highest AUC regarding A) attenuation in fluid was yielded in CI and VMI70,80keV (0.75); B) wall enhancement in CI (0.88) followed by iodine concentration (0.86). Contrast-to-noise ratio of wall vs. fluid was highest in VMI40keV (p < 0.05). All assessed qualitative parameters received significantly higher ratings when using spectral reconstructions vs. CI (p for all <0.05), except for visibility of wall enhancement.
Conclusion: Spectral reconstructions improve the assessment of infected from noninfected thoracoabdominal fluid collections and depiction of wall enhancement. Diagnostic performance of the quantitative measurements in spectral reconstructions were comparable with measurements in conventional images.
Keywords: Differential diagnosis; Fluid collections; Infection; Tomography X-ray computed.
Copyright © 2021 Elsevier B.V. All rights reserved.
Similar articles
-
Value of spectral detector CT for pretherapeutic, locoregional assessment of esophageal cancer.Eur J Radiol. 2021 Jan;134:109423. doi: 10.1016/j.ejrad.2020.109423. Epub 2020 Nov 21. Eur J Radiol. 2021. PMID: 33302024
-
Abdominal vessel depiction on virtual triphasic spectral detector CT: initial clinical experience.Abdom Radiol (NY). 2021 Jul;46(7):3501-3511. doi: 10.1007/s00261-021-03001-2. Epub 2021 Mar 14. Abdom Radiol (NY). 2021. PMID: 33715050 Free PMC article.
-
Distinguishing infected from noninfected abdominal fluid collections after surgery: an imaging, clinical, and laboratory-based scoring system.Invest Radiol. 2015 Jan;50(1):17-23. doi: 10.1097/RLI.0000000000000090. Invest Radiol. 2015. PMID: 25198832
-
Virtual monoenergetic images preserve diagnostic assessability in contrast media reduced abdominal spectral detector CT.Br J Radiol. 2020 Sep 1;93(1113):20200340. doi: 10.1259/bjr.20200340. Epub 2020 Jul 24. Br J Radiol. 2020. PMID: 32644824 Free PMC article.
-
CT artifacts from port systems: Virtual monoenergetic reconstructions from spectral-detector CT reduce artifacts and improve depiction of surrounding tissue.Eur J Radiol. 2019 Dec;121:108733. doi: 10.1016/j.ejrad.2019.108733. Epub 2019 Nov 6. Eur J Radiol. 2019. PMID: 31739270 Review.
Cited by
-
NIR-I Dye-Based Probe: A New Window for Bimodal Tumor Theranostics.Front Chem. 2022 Mar 23;10:859948. doi: 10.3389/fchem.2022.859948. eCollection 2022. Front Chem. 2022. PMID: 35402374 Free PMC article. Review.
-
Computed tomography texture analysis to discriminate fungal and non-fungal infected fluid collections.J Med Imaging (Bellingham). 2023 Nov;10(6):064002. doi: 10.1117/1.JMI.10.6.064002. Epub 2023 Nov 9. J Med Imaging (Bellingham). 2023. PMID: 38074630 Free PMC article.
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Medical