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DOI 10.2967/jnmt.120.256933

Медицинская библиотека · Journal of nuclear medicine technology · 2020

Fewer-Angle SPECT/CT Blood Pool Imaging for Infection and Inflammation.

Phillips William T, Gorzell Brandon C, Martinez Robert A, Salman Umber A, Cooper Albert W, Stocker Derek J, Adams Chad C

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Аннотация

A new protocol for rapid SPECT/CT blood pool imaging consisting of fewer image-angle acquisitions (fewer-angle SPECT/CT, or FASpecT/CT) was evaluated for localization of focal sites of soft-tissue inflammation, infection, and osteomyelitis.

Methods

Immediately after dynamic flow and standard planar blood pool imaging with 99mTc-methylene diphosphonate, FASpecT/CT was performed with a dual-head γ-camera consisting of 6 steps over 360°, 12 total images with 30° of separation between angles, and 30 s per image, requiring a total imaging time of approximately 3 min. Images were reconstructed using iterative ordered-subset expectation maximization. Before use in a patient-care setting, various FASpecT/CT acquisition protocols were modeled using a phantom to determine the minimum number of stops and the stop duration required to produce a reliable image.

Results

FASpecT/CT images provided excellent 3-dimensional localization of spine osteomyelitis, soft-tissue infection of the foot, and tendonitis of the hand and foot using a 3-min image acquisition time. The FASpecT/CT acquisition protocol required 1.3-3.5 min, including camera movement time. This was a reduction of 72%-90% from the time required for the standard 60-angle, 20-s SPECT/CT acquisition.

Conclusion

The ability of FASpecT/CT blood pool images to help localize focal sites of hyperemia and inflammation can increase exam sensitivity and specificity. Additionally, using a FASpecT/CT protocol decreases imaging time by up to 90%.

Для цитирования: Phillips William T, Gorzell Brandon C, Martinez Robert A, Salman Umber A, Cooper Albert W, Stocker Derek J, Adams Chad C. Fewer-Angle SPECT/CT Blood Pool Imaging for Infection and Inflammation.. Journal of nuclear medicine technology. 2020. DOI: 10.2967/jnmt.120.256933.

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