Calcium-based imaging of the spine at dual-layer CT and evaluation of vertebral fractures in multiple myeloma

• Verfasst von: Brandelik, Simone Christine [VerfasserIn]
• Verfasst von: Rahn, Stefanie [VerfasserIn]
• Verfasst von: Merz, Maximilian [VerfasserIn]
• Verfasst von: Stiller, Wolfram [VerfasserIn]
• Verfasst von: Skornitzke, Stephan [VerfasserIn]
• Verfasst von: Melzig, Claudius [VerfasserIn]
• Verfasst von: Kauczor, Hans-Ulrich [VerfasserIn]
• Verfasst von: Weber, Tim [VerfasserIn]
• Verfasst von: Do, Thuy [VerfasserIn]
• Titel: Calcium-based imaging of the spine at dual-layer CT and evaluation of vertebral fractures in multiple myeloma
• Verf.angabe: Simone C. Brandelik, Stefanie Rahn, Maximilian Merz, Wolfram Stiller, Stephan Skornitzke, Claudius Melzig, Hans-Ulrich Kauczor, Tim F. Weber and Thuy D. Do
• E-Jahr: 2024
• Jahr: August-1 2024
• Umfang: 1-12$t12
• Illustrationen: Illustrationen
• Fussnoten: Published: 28 July 2024 ; Gesehen am 31.03.2025
• Titel Quelle: Enthalten in: Cancers
• Ort Quelle: Basel : MDPI, 2009
• Jahr Quelle: 2024
• Band/Heft Quelle: 16(2024), 15 vom: Aug., Artikel-ID 2688
• ISSN Quelle: 2072-6694
• DOI: doi:10.3390/cancers16152688
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: computed tomography
• Sach-SW: dual-layer spectral CT
• Sach-SW: fractures
• Sach-SW: multiple myeloma
• Sach-SW: spine
• K10plus-PPN: 1920847618

Abstract

Purpose: To evaluate the prediction of vertebral fractures in plasma cell dyscrasias using dual-layer CT (DLCT) with quantitative assessment of conventional CT image data (CI), calcium suppressed image data (CaSupp), and calculation of virtual calcium-only (VCa) image data. Material and Methods: Patients (n = 81) with the diagnosis of a plasma cell dyscrasia and whole-body DLCT at the time of diagnosis and follow-up were retrospectively enrolled. CI, CaSupp25, and CaSupp100 were quantitatively analyzed using regions of interest in the lumbar vertebral bodies and fractured vertebral bodies on baseline or follow-up imaging. VCa were calculated by subtraction (CaSupp100-CaSupp25), delineating bone only. Logistic regression analyses were performed to assess the possibility of imminent spine fractures. Results: In 24 patients, new vertebral fractures were observed in the follow-up imaging. The possibility of new vertebral fractures was significant for baseline assessment of CT numbers in CI, CaSupp25, and VCa (p = 0.01, respectively), with a higher risk for new fractures in the case of lower CT numbers in CI (Odds ratio = [0.969; 0.994]) and VCa (Odds ratio = [0.978; 0.995]) and in the case of higher CT numbers in CaSupp 25 (Odds ratio 1.015 [1.006; 1.026]). Direct model comparisons implied that CT numbers in CaSupp 25 and VCa might show better fracture prediction than those in CI (R2 = 0.18 both vs. 0.15; AICc = 91.95, 91.79 vs. 93.62), suggesting cut-off values for CI at 103 HU (sensitivity: 54.2%; specificity: 82.5; AUC: 0.69), for VCa at 129 HU (sensitivity: 41.7%; specificity: 94.7; AUC: 0.72). Conclusions: Quantitative assessment with CaSupp and calculation of VCa is feasible to predict the vertebral fracture risk in MM patients. DLCT may prove useful in detecting imminent fractures.