CT Texture analysis and CT scores for characterization of fluid collections

BMC Med Imaging. 2021 Dec 6;21(1):187. doi: 10.1186/s12880-021-00718-w.

Abstract

Background: Texture analysis derived from Computed tomography (CT) might be able to better characterize fluid collections undergoing CT-guided percutaneous drainage treatment. The present study tested, whether texture analysis can reflect microbiology results in fluid collections suspicious for septic focus.

Methods: Overall, 320 patients with 402 fluid collections were included into this retrospective study. All fluid collections underwent CT-guided drainage treatment and were microbiologically evaluated. Clinically, serologically parameters and conventional imaging findings as well as textures features were included into the analysis. A new CT score was calculated based upon imaging features alone. Established CT scores were used as a reference standard.

Results: The present score achieved a sensitivity of 0.78, a specificity of 0.69, area under curve (AUC 0.82). The present score and the score by Gnannt et al. (AUC 0.81) were both statistically better than the score by Radosa et al. (AUC 0.75). Several texture features were statistically significant between infected fluid collections and sterile fluid collections, but these features were not significantly better compared with conventional imaging findings.

Conclusions: Texture analysis is not superior to conventional imaging findings for characterizing fluid collections. A novel score was calculated based upon imaging parameters alone with similar diagnostic accuracy compared to established scores using imaging and clinical features.

Keywords: CT; Drainage treatment; Fluid collection; Texture analysis.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Drainage
  • Exudates and Transudates / diagnostic imaging*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Radiographic Image Interpretation, Computer-Assisted*
  • Retrospective Studies
  • Sensitivity and Specificity
  • Tomography, X-Ray Computed / methods*