SPECT/CT is a well-established imaging modality for investigation of suspicious bone lesions. But even so, additional testing is often required for confirmation of a patient’s situation—restricting everyone’s ability to deliver appropriate and timely care at a lower cost. The high image resolution of xSPECT Bone™ enables you to better localize and characterize disease, potentially reducing the need for alternative exams.
xSPECT Bone takes an entirely different approach in the generation of SPECT/CT images. By using the CT as the frame-of-reference for image reconstruction, xSPECT Bone is able to extract a zone map with different tissue segments to better delineate the boundaries of nuclear uptake during SPECT reconstruction. Through the deep integration of SPECT and CT data, xSPECT Bone helps you clearly distinguish disease not easily seen with conventional SPECT.
By boosting the level of clinically relevant information, xSPECT Bone imaging enables you to deliver more specific and comprehensive reports to your referring physicians—facilitating better communication and more effective decision making.
In August 2015, Garran Medical Imaging (GMI) in Canberra, Australia, initiated a study to prospectively evaluate their first 200 xSPECT Bone cases. As part of the study, GMI performed sequential reporting of SPECT/CT followed by xSPECT/CT. Differences between the initial SPECT/CT and the final report (after xSPECT/CT reconstruction) were documented and analyzed.
The findings, published in European Journal of Hybrid Imaging (March 2018), showed that xSPECT Bone imaging provided more diagnostic information in 71% of scans; and when compared to conventional SPECT/CT, the diagnosis was changed in 20% of cases.
"The clinical value of xSPECT/CT Bone versus SPECT/CT. A prospective comparison of 200 scans."
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Header image data courtesy on file.
The statements by Siemens Healthineers' customers described herein are based on results that were achieved in the customer's unique setting. Since there is no "typical" hospital and many variables exist (e.g., hospital size, case mix, level of IT adoption) there can be no guarantee that other customers will achieve the same results.