Pulmonary perfused blood volume with dual-energy CT as surrogate for pulmonary perfusion assessed with dynamic multidetector CT

Matthew K. Fuld, Ahmed F. Halaweish, Susan E. Haynes, Abhay A. Divekar, Junfeng Guo, Eric A. Hoffman

Research output: Contribution to journalArticlepeer-review

74 Scopus citations

Abstract

Purpose: To compare measurements of regional pulmonary perfused blood volume (PBV) and pulmonary blood flow (PBF) obtained with computed tomography (CT) in two pig models. Materials and Methods: The institutional animal care and use committee approved all animal studies. CT-derived PBF and PBV were determined in four anesthetized, mechanically ventilated, supine swine by using two methods for creating pulmonary parenchymal perfusion heterogeneity. Two animals were examined after sequentially moving a pulmonary arterial balloon catheter from a distal to a central location, and two others were examined over a range of static airway pressures, which varied the extents of regional PBF. Lung sections were divided into blocks and Pearson correlation coefficients calculated to compare matching regions between the two methods. Results: CT-derived PBF, CT-derived PBV, and their associated coefficients of variation (CV) were closely correlated on a region-by-region basis in both the balloon occlusion (Pearson R = 0.91 and 0.73 for animals 1 and 2, respectively; Pearson R = 0.98 and 0.87 for comparison of normalized mean and CV for animals 1 and 2, respectively) and lung inflation studies (Pearson R = 0.94 and 0.74 for animals 3 and 4, respectively; Pearson R = 0.94 and 0.69 for normalized mean and CV for animals 3 and 4, respectively). When accounting for region-based effects, correlations remained highly significant at the P < .001 level. Conclusion: CT-derived PBV heterogeneity is a suitable surrogate for CT-derived PBF heterogeneity.

Original languageEnglish (US)
Pages (from-to)747-756
Number of pages10
JournalRADIOLOGY
Volume267
Issue number3
DOIs
StatePublished - Jun 2013
Externally publishedYes

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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