lambda-Eye: a high-sensitivity imaging probe for axillary sentinel lymph node mapping

作者:Georgiou Maria*; Loudos George; Fysikopoulos Eleftherios; Lamprou Efthimis; Mikropoulos Kwnstantinos; Shegani Antonio; Georgoulias Panagiotis
来源:Nuclear Medicine Communications, 2016, 37(10): 1001-1009.
DOI:10.1097/MNM.0000000000000546

摘要

ObjectiveThe aim of this study is the construction and performance evaluation of -eye', a imaging probe, optimized in terms of sensitivity for sentinel lymph node mapping. The optimization of the probe is based on theoretical models and simulation results that were presented in a previous study of our group. In this work, the construction of the probe, the experimental confirmation of the simulation results, and the evaluation of its performance with phantoms and lymph node imaging in small animals are presented.MethodsThe system's spatial and energy resolution, sensitivity, and count rate performance were measured using phantoms. The values of the integral and differential uniformity in the useful field-of-view and in the central field-of-view were also calculated. Finally, a proof-of-concept animal experiment was conducted for the imaging of the lymph nodes of normal mice.ResultsThe system's energy resolution was measured as 362% and the spatial resolution was 2.2mm at 2mm source-collimator distance. The values of the integral uniformity and differential uniformity in the useful field-of-view and in the central field-of-view were found to be 5.2, 2.1, 1.7, and 0.75%, respectively. Finally, the lymph nodes of normal mice were clearly imaged with a 10s acquisition time.ConclusionThe -eye', used for sentinel lymph node mapping, provides a combination of high sensitivity (approximate to 1.5counts/s/kBq) and good spatial resolution (approximate to 6mm full-width of the half-maximum at 20mm and approximate to 10mm full-width of the half-maximum at 50mm distance). Its compact size (40mmx40mmx70mm) allows its use during surgery and/or for the detailed scan of a suspicious region.

  • 出版日期2016-10

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