Brook, B. S., Murphy, C. M., Breen, D., Miles, A. W., Tilley, D. G. and Wilson, A. J.. (2007) Quantification of lung injury using ventilation and perfusion distributions obtained from gamma scintigraphy. Physiological Measurement, Vol.28 (No.12). pp. 1451-1464. ISSN 0967-3334

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Abstract

This paper explores the potential of isotope V/Q lung scans to quantify lung disease. Areas of restricted perfusion in subjects with a pulmonary embolus (PE) were identified in 3D reconstructions of V/Q images achieved using anatomical data from the Visible Human Project. From these, the extent of lung damage was quantified. Significant differences in the values of both LogSD V and LogSDQ (p > 0.05) obtained from plots of V and Q against Log(V/Q) were found between normal subjects and subjects with a PE, but no correlation was found between either of these parameters and the degree of lung damage in subjects with a PE (p > 0.05). Whilst V/Q values were lognormally distributed, the V/Q distributions from the subjects with a PE failed to show the bimodal distribution predicted from theoretical considerations and MIGET measurements previously reported. There was a statistically significant difference in the mean and standard deviation values of the V/Q distributions between normal subject and subjects with a PE (p < 0.05) but not in the median values (p > 0.05). There was no correlation between the mean, median and standard deviation of the distributions from the subjects with a PE and the percentage of damage present (p > 0.05).

Item Type:	Journal Article
Subjects:	Q Science > QH Natural history > QH301 Biology R Medicine Q Science > QP Physiology
Divisions:	Faculty of Science > Physics
Journal or Publication Title:	Physiological Measurement
Publisher:	Institute of Physics Publishing Ltd.
ISSN:	0967-3334
Official Date:	December 2007
Volume:	Vol.28
Number:	No.12
Number of Pages:	14
Page Range:	pp. 1451-1464
Identification Number:	10.1088/0967-3334/28/12/001
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
URI:	http://wrap.warwick.ac.uk/id/eprint/30739

Data sourced from Thomson Reuters' Web of Knowledge

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