CT Texture analysis and CT scores for characterization of fluid collections

被引:4
|
作者
Meyer, Hans-Jonas [1 ]
Schnarkowski, Benedikt [1 ]
Leonhardi, Jakob [1 ]
Mehdorn, Matthias [2 ]
Ebel, Sebastian [1 ]
Goessmann, Holger [1 ]
Denecke, Timm [1 ]
机构
[1] Univ Leipzig, Dept Diagnost & Intervent Radiol, Liebigstr 20, D-04103 Leipzig, Germany
[2] Univ Leipzig, Dept Visceral Transplant Thorac & Vasc Surg, Leipzig, Germany
关键词
Texture analysis; CT; Fluid collection; Drainage treatment; IMAGES;
D O I
10.1186/s12880-021-00718-w
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
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.
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页数:10
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