Abstract
Objective
To evaluate feasibility and diagnostic performance of multi-level calcium suppression in spectral detector computed tomography (SDCT) for assessment of bone metastasis.
Materials and methods
Retrospective IRB-approved study on 21 patients who underwent SDCT (120 kV, reference mAs 116) and MRI. Thoracic and lumbar vertebrae (n = 357) were included and categorized as normal (n = 133) or metastatic (n = 203) based on MRI (STIR, T1w, ±contrast). The multi-level virtual non-calcium (VNCa) algorithm computes dynamic soft tissue/calcium pairs allowing for computation of different suppression index levels to address inter-individual variance of prevalent calcium composition weights. We computed images with low, medium, and high calcium suppression indices and compared them with conventional images (VNCa_low/med/high and conventional images (CI)). For quantitative image analysis, regions of interest were placed in normal and metastatic bone. Two readers reviewed the datasets independently in multiple sessions. They determined the presence of vertebral metastases on a per vertebra basis using a binary scale. Statistic assessment was performed using ANOVA with Tukey HSD, Student’s T test, and ROC analysis.
Results
Attenuation of both normal and metastatic bone was lower in VNCa images than that in conventional images (e.g., CI/VNCa_low, − 46.3 to 238.8 HU/343.3–60.2 HU; p ≤ 0.05). VNCa_low+med improved separation of normal and metastatic bone in ROC analysis (AUC, CI/VNCa_low/VNCa_med = 0.74/0.95/0.98; p ≤ 0.05). In subjective analysis, both sensitivity and specificity were clearly improved in VNCa_low as compared with CI (0.85/0.84 versus 0.78/0.82). Readers showed a good inter-rater reliability (kappa = 0.65).
Conclusions
Multi-level VNCa reconstructed from SDCT improve quantitative separation of normal and metastatic bone and subjective determination of bone metastases when using low to intermediate calcium suppression indices.
Key Points
• Spectral detector CT allows for multi-level calcium suppression in CT images and low and medium calcium suppression indices improved separation of normal and metastatic bone.
• Thus, multi-level calcium suppression allows to optimize image contrast in regard to dedicated pathologies.
• Low-level virtual non-calcium images (index 25–50) improved diagnostic performance regarding detection of metastasis.
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Abbreviations
- CI:
-
Conventional images
- CNR:
-
Contrast-to-noise ratio
- DECT:
-
Dual-energy computed tomography
- DSCT:
-
Dual-source computed tomography
- MRI:
-
Magnetic resonance imaging
- PACS:
-
Picture archiving and communication system
- ROC:
-
Receiver operating characteristic
- SBI:
-
Spectral base image
- SDCT:
-
Spectral detector computed tomography
- VNCa:
-
Virtual non-calcium images
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Part of this study have been funded under a research agreement between (i) University Hospitals Cleveland Medical Center/Case Western Reserve University and Philips Healthcare and (ii) University Hospital Cologne and Philips Healthcare.
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The scientific guarantor of this publication is PD Dr. med. Jan Borggrefe.
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The authors of this manuscript declare relationships with the following companies: NGH, DM, JB are on the speakers bureau of Philips Healthcare. ZR, GP are employees of Philips Healthcare.
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Abdullayev, N., Große Hokamp, N., Lennartz, S. et al. Improvements of diagnostic accuracy and visualization of vertebral metastasis using multi-level virtual non-calcium reconstructions from dual-layer spectral detector computed tomography. Eur Radiol 29, 5941–5949 (2019). https://doi.org/10.1007/s00330-019-06233-5
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DOI: https://doi.org/10.1007/s00330-019-06233-5