Effects of the white blood cell count on labeling efficiency using indium-111

Nicole Sautbine, Ann Voslar, Edwin Bancud · Journal of Nuclear Medicine · 2011

2412 Objectives The objective of this study was to determine whether or not the white blood cell (WBC) count of the patient affects the labeling efficiency of the white blood cells with indium-111 for imaging. Before the matter was researched, it was thought that increased number of white blood cells would lead to a higher label efficiency. Methods Random patient data were collected from the past two years consisting of a total of 100 patients. The patient’s medical record, current count at the time of the labeling, and the labeling efficiency of the study were all recorded and graphed. A scatter plot was used to correlate a relationship between the patient’s count and the corresponding labeling efficiency of the study. Results Graphing the patient’s count against the labeling efficiency highlighted the relationship between the count and the labeling efficiency. There is a consistent plateau showing that counts ranging between 2,700 cells per microliter to 57,500 cells per microliter all generate adequate label efficiency percents ranging from 70% to 97%. Even though normal counts are between 4,500 cells per microliter and 10,000 cells per microliter, efficient labeling can occur outside the norm. Point A (96.3, 57.5) shows that even with a relatively increased count, the percent is the same as if the patient had a count of only 2,700 cells per microliter (Point A1: 96, 2.7). Comparing Point B (70, 4.8) with Point B1(90,3) shows that even with a normal count, the labeling percent can be lower than a count lower than the norm. Conclusions Graphing the patient’s count against the labeling efficiency highlighted that there is not a definite relationship between the count and the labeling efficiency. From relatively high to rather low counts, the adequacy of the labeling percentage did not seem to be affected. Research Support Dugdale, David. WBC count. MedicinePlus. U.S. National Library of Medicine, 15 Dec. 2010. Web. 26 Jan. 2011.

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