PURPOSE: The present study evaluates the diagnostic accuracy of virtual non-contrast (VNC) images acquired with the first clinical photon counting CT scanner for the assessment of hepatic steatosis. METHOD: 140 patients were retrospectively enrolled in this study. The following CT indices were calculated according to the attenuation on VNC and true non-contrast (TNC) images: Liver attenuation CT (L), difference between liver and spleen attenuation CT (L-S) and the ratio between liver and spleen attenuation CT (L/S). RESULTS: Considering previously reported cut-off values, the sensitivity, specificity, positive and negative predictive value (PPV, NPV) for the detection of hepatic steatosis on VNC images was 94%, 87%, 30% and 99.5% for CT (L), 52%, 99%, 81% and 96% for CT (L-S) and 67%, 98%, 74% and 94% for CT (L/S). When adjusting the cut-off values according to the present study, the sensitivity, specificity, PPV and NPV for the detection of hepatic steatosis on VNC images was 94%, 92%, 41% and 99.6% for CT (L), 96%, 90%, 46% and 99.6% for CT (L-S) and 95%, 99.6%, 42% and 99.6% for CT (L/S). CONCLUSIONS: In conclusion, the spectral datasets acquired with the first clinical PCCT scanner enable the reconstruction of VNC images that are reliable for the image-based assessment of hepatic steatosis. By adjusting the cut-off values all tested CT indices perform well and offer an excellent sensitivity as well as specificity.
PURPOSE: The present study evaluates the diagnostic accuracy of virtual non-contrast (VNC) images acquired with the first clinical photon counting CT scanner for the assessment of hepatic steatosis. METHOD: 140 patients were retrospectively enrolled in this study. The following CT indices were calculated according to the attenuation on VNC and true non-contrast (TNC) images: Liver attenuation CT (L), difference between liver and spleen attenuation CT (L-S) and the ratio between liver and spleen attenuation CT (L/S). RESULTS: Considering previously reported cut-off values, the sensitivity, specificity, positive and negative predictive value (PPV, NPV) for the detection of hepatic steatosis on VNC images was 94%, 87%, 30% and 99.5% for CT (L), 52%, 99%, 81% and 96% for CT (L-S) and 67%, 98%, 74% and 94% for CT (L/S). When adjusting the cut-off values according to the present study, the sensitivity, specificity, PPV and NPV for the detection of hepatic steatosis on VNC images was 94%, 92%, 41% and 99.6% for CT (L), 96%, 90%, 46% and 99.6% for CT (L-S) and 95%, 99.6%, 42% and 99.6% for CT (L/S). CONCLUSIONS: In conclusion, the spectral datasets acquired with the first clinical PCCT scanner enable the reconstruction of VNC images that are reliable for the image-based assessment of hepatic steatosis. By adjusting the cut-off values all tested CT indices perform well and offer an excellent sensitivity as well as specificity.
Authors: Matthias Michael Woeltjen; Julius Henning Niehoff; Arwed Elias Michael; Sebastian Horstmeier; Christoph Moenninghoff; Jan Borggrefe; Jan Robert Kroeger Journal: Diagnostics (Basel) Date: 2022-06-11
Authors: Arwed Elias Michael; Jan Boriesosdick; Denise Schoenbeck; Ingo Lopez-Schmidt; Jan Robert Kroeger; Christoph Moenninghoff; Sebastian Horstmeier; Lenhard Pennig; Jan Borggrefe; Julius Henning Niehoff Journal: Diagnostics (Basel) Date: 2022-05-24
Authors: Julius Henning Niehoff; Alexandra Fiona Carmichael; Matthias Michael Woeltjen; Jan Boriesosdick; Ingo Lopez Schmidt; Arwed Elias Michael; Nils Große Hokamp; Hansjuergen Piechota; Jan Borggrefe; Jan Robert Kroeger Journal: Tomography Date: 2022-06-23