Title |
Standardized volumetric 3D-analysis of SPECT/CT imaging in orthopaedics: overcoming the limitations of qualitative 2D analysis
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Published in |
BMC Medical Imaging, March 2012
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DOI | 10.1186/1471-2342-12-5 |
Pubmed ID | |
Authors |
Michael T Hirschmann, Christopher R Wagner, Helmut Rasch, Johann Henckel |
Abstract |
SPECT/CT combines high resolution anatomical 3D computerized tomography (CT) and single photon emission computerized tomography (SPECT) as functional imaging, which provides 3D information about biological processes into a single imaging modality. The clinical utility of SPECT/CT imaging has been recognized in a variety of medical fields and most recently in orthopaedics; however, clinical adoption has been limited due to shortcomings of analytical tools available. Specifically, SPECT analyses are mainly qualitative due to variation in overall metabolic uptake among patients. Furthermore, most analyses are done in 2D, although rich 3D data are available. Consequently, it is difficult to quantitatively compare the position, size, and intensity of SPECT uptake regions among patients, and therefore difficult to draw meaningful clinical conclusions. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Taiwan | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 3% |
Korea, Republic of | 1 | 2% |
Denmark | 1 | 2% |
Unknown | 60 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 11 | 17% |
Student > Bachelor | 9 | 14% |
Student > Ph. D. Student | 6 | 9% |
Other | 5 | 8% |
Student > Postgraduate | 5 | 8% |
Other | 15 | 23% |
Unknown | 13 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 25 | 39% |
Engineering | 7 | 11% |
Agricultural and Biological Sciences | 6 | 9% |
Nursing and Health Professions | 5 | 8% |
Physics and Astronomy | 1 | 2% |
Other | 2 | 3% |
Unknown | 18 | 28% |