Back to Search Start Over

Cut-off value for normal versus abnormal right-to-left shunt percentages using (99m)Tc-macroaggregated albumin.

Authors :
Ito K
Kurihara K
Ishibashi A
Morooka M
Mitsumoto T
Minamimoto R
Kubota K
Source :
Nuclear medicine communications [Nucl Med Commun] 2011 Oct; Vol. 32 (10), pp. 936-40.
Publication Year :
2011

Abstract

Objective: To determine the cut-off value for distinguishing a normal versus an abnormal right-to-left shunt percentage on lung perfusion scintigraphy using (99m)Tc-macroaggregated albumin (MAA).<br />Materials and Methods: Fifty-three patients (eight patients with a right-to-left shunt and 45 without a right-to-left shunt) who underwent MAA whole-body imaging for the evaluation of right-to-left shunts were divided into group 1 (eight patients with brain MAA uptake) and group 2 (45 patients without brain MAA uptake). Moreover, group 2 was subdivided into two categories (groups 2a and 2b) based on the results of lung computed tomography, electrocardiography examinations, and pulmonary function tests. The average and standard deviation (SD) of each group were compared. In addition, we estimated the cut-off value for a normal right-to-left shunt percentage using whole-body imaging.<br />Results: The average right-to-left shunt percentage values and SD were 23.67±12.17% in group 1, 6.68±1.04% in group 2a, and 6.60±0.84% in group 2b. The shunt percentages of groups 2a and 2b were not significantly different (P=0.77). The estimated normal value (mean±2 SD) of group 2 was 6.64±0.94%. Meanwhile, the cut-off value was estimated as 10% based on the distributions of MAA shunt percentages for groups 1 and 2.<br />Conclusion: The normal range (mean±2 SD) was 6.64±1.88%. The cut-off value for the normal right-to-left shunt percentage in MAA scintigraphy was 10%.

Details

Language :
English
ISSN :
1473-5628
Volume :
32
Issue :
10
Database :
MEDLINE
Journal :
Nuclear medicine communications
Publication Type :
Academic Journal
Accession number :
21876404
Full Text :
https://doi.org/10.1097/MNM.0b013e32834a123f