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Comparison of ventilation defects quantified by Technegas SPECT and hyperpolarized (129)Xe MRI
Introduction: The ideal contrast agents for ventilation SPECT and MRI are Technegas and (129)Xe gas, respectively. Despite increasing interest in the clinical utility of ventilation imaging, these modalities have not been directly compared. Therefore, our objective was to compare the ventilation def...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10206636/ https://www.ncbi.nlm.nih.gov/pubmed/37234422 http://dx.doi.org/10.3389/fphys.2023.1133334 |
Sumario: | Introduction: The ideal contrast agents for ventilation SPECT and MRI are Technegas and (129)Xe gas, respectively. Despite increasing interest in the clinical utility of ventilation imaging, these modalities have not been directly compared. Therefore, our objective was to compare the ventilation defect percent (VDP) assessed by Technegas SPECT and hyperpolarized (129)Xe MRI in patients scheduled to undergo lung cancer resection with and without pre-existing obstructive lung disease. Methods: Forty-one adults scheduled to undergo lung cancer resection performed same-day Technegas SPECT, hyperpolarized (129)Xe MRI, spirometry, and diffusing capacity of the lung for carbon monoxide (DL(CO)). Ventilation abnormalities were quantified as the VDP using two different methods: adaptive thresholding (VDP(T)) and k-means clustering (VDP(K)). Correlation and agreement between VDP quantified by Technegas SPECT and (129)Xe MRI were determined by Spearman correlation and Bland-Altman analysis, respectively. Results: VDP measured by Technegas SPECT and (129)Xe MRI were correlated (VDP(T): r = 0.48, p = 0.001; VDP(K): r = 0.63, p < 0.0001). A 2.0% and 1.6% bias towards higher Technegas SPECT VDP was measured using the adaptive threshold method (VDP(T): 23.0% ± 14.0% vs. 21.0% ± 5.2%, p = 0.81) and k-means method (VDP(K): 9.4% ± 9.4% vs. 7.8% ± 10.0%, p = 0.02), respectively. For both modalities, higher VDP was correlated with lower FEV(1)/FVC (SPECT VDP(T): r = −0.38, p = 0.01; MRI VDP(K): r = −0.46, p = 0.002) and DL(CO) (SPECT VDP(T): r = −0.61, p < 0.0001; MRI VDP(K): r = −0.68, p < 0.0001). Subgroup analysis revealed that VDP measured by both modalities was significantly higher for participants with COPD (n = 13) than those with asthma (n = 6; SPECT VDP(T): p = 0.007, MRI VDP(K): p = 0.006) and those with no history of obstructive lung disease (n = 21; SPECT VDP(T): p = 0.0003, MRI VDP(K): p = 0.0003). Discussion: The burden of ventilation defects quantified by Technegas SPECT and (129)Xe MRI VDP was correlated and greater in participants with COPD when compared to those without. Our observations indicate that, despite substantial differences between the imaging modalities, quantitative assessment of ventilation defects by Technegas SPECT and (129)Xe MRI is comparable. |
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