ArticleBMC medical imaging2021
CT Texture analysis and CT scores for characterization of fluid collections.
Article in BMC medical imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Pediatric renal abscess: a 12-year single-center retrospective analysis.Pediatric nephrology (Berlin, Germany) · 2026Article
- Automated Detection of Necrotizing Soft Tissue Infection Features by Computed Tomography.Diagnostics (Basel, Switzerland) · 2025Article
- The empty pelvis syndrome: a core data set from the PelvEx collaborative.The British journal of surgery · 2024Article
- Computed tomography texture analysis to discriminate fungal and non-fungal infected fluid collections.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- CT-Based Radiomic Analysis May Predict Bacteriological Features of Infected Intraperitoneal Fluid Collections after Gastric Cancer Surgery.Healthcare (Basel, Switzerland) · 2022Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTexture 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.
methodsOverall, 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.
resultsThe 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.
conclusionsTexture 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.
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