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Bette, Stefanie; Risch, Franka; Canalini, Luca; Becker, Judith; Leithner, Eva V.; Huber, Adrian; Haerting, Mark; Jehs, Bertram; Wollny, Claudia; Schwarz, Florian; Tehlan, Kartikay; Scheurig-Muenkler, Christian; Wendler, Thomas; Kroencke, Thomas; Decker, Josua A.

Diagnostic performance of photon-counting detector CT for differentiation between adrenal adenomas and metastases

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  • Medientyp: E-Artikel
  • Titel: Diagnostic performance of photon-counting detector CT for differentiation between adrenal adenomas and metastases
  • Beteiligte: Bette, Stefanie; Risch, Franka; Canalini, Luca; Becker, Judith; Leithner, Eva V.; Huber, Adrian; Haerting, Mark; Jehs, Bertram; Wollny, Claudia; Schwarz, Florian; Tehlan, Kartikay; Scheurig-Muenkler, Christian; Wendler, Thomas; Kroencke, Thomas; Decker, Josua A.
  • Erschienen: Springer Science and Business Media LLC, 2024
  • Erschienen in: European Radiology (2024)
  • Sprache: Englisch
  • DOI: 10.1007/s00330-024-10675-x
  • ISSN: 1432-1084
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: Abstract Objectives Aim of this study was to assess the value of virtual non-contrast (VNC) reconstructions in differentiating between adrenal adenomas and metastases on a photon-counting detector CT (PCD-CT). Material and methods Patients with adrenal masses and contrast-enhanced CT scans in portal venous phase were included. Image reconstructions were performed, including conventional VNC (VNCConv) and PureCalcium VNC (VNCPC), as well as virtual monochromatic images (VMI, 40–90 keV) and iodine maps. We analyzed images using semi-automatic segmentation of adrenal lesions and extracted quantitative data. Logistic regression models, non-parametric tests, Bland–Altman plots, and a random forest classifier were used for statistical analyses. Results The final study cohort consisted of 90 patients (36 female, mean age 67.8 years [range 39–87]) with adrenal lesions (45 adenomas, 45 metastases). Compared to metastases, adrenal adenomas showed significantly lower CT-values in VNCConv and VNCPC (p = 0.007). Mean difference between VNC and true non-contrast (TNC) was 17.67 for VNCConv and 14.85 for VNCPC. Random forest classifier and logistic regression models both identified VNCConv and VNCPC as the best discriminators. When using 26 HU as the threshold in VNCConv reconstructions, adenomas could be discriminated from metastases with a sensitivity of 86.7% and a specificity of 75.6%. Conclusion VNC algorithms overestimate CT values compared to TNC in the assessment of adrenal lesions. However, they allow a reliable discrimination between adrenal adenomas and metastases and could be used in clinical routine in near future with an increased threshold (e.g., 26 HU). Further (multi-center) studies with larger patient cohorts and standardized protocols are required. Clinical relevance statement VNC reconstructions overestimate CT values compared to TNC. Using a different threshold (e.g., 26 HU compared to the established 10 HU), VNC has a high diagnostic accuracy for the discrimination between adrenal adenomas and metastases. Key Points • Virtual non-contrast reconstructions may be promising tools to differentiate adrenal lesions and might save further diagnostic tests. • The conventional and a new calcium-preserving virtual non-contrast algorithm tend to systematically overestimate CT-values compared to true non-contrast images. • Therefore, increasing the established threshold for true non-contrast images (e.g., 10HU) may help to differentiate between adrenal adenomas and metastases on contrast-enhanced CT.