| Title |
Organ-specific SPECT activity calibration using 3D printed phantoms for molecular radiotherapy dosimetry
|
|---|---|
| Published in |
EJNMMI Physics, July 2016
|
| DOI | 10.1186/s40658-016-0148-1 |
| Pubmed ID | |
| Authors |
Andrew P. Robinson, Jill Tipping, David M. Cullen, David Hamilton, Richard Brown, Alex Flynn, Christopher Oldfield, Emma Page, Emlyn Price, Andrew Smith, Richard Snee |
| Abstract |
Patient-specific absorbed dose calculations for molecular radiotherapy require accurate activity quantification. This is commonly derived from Single-Photon Emission Computed Tomography (SPECT) imaging using a calibration factor relating detected counts to known activity in a phantom insert. A series of phantom inserts, based on the mathematical models underlying many clinical dosimetry calculations, have been produced using 3D printing techniques. SPECT/CT data for the phantom inserts has been used to calculate new organ-specific calibration factors for (99m) Tc and (177)Lu. The measured calibration factors are compared to predicted values from calculations using a Gaussian kernel. Measured SPECT calibration factors for 3D printed organs display a clear dependence on organ shape for (99m) Tc and (177)Lu. The observed variation in calibration factor is reproduced using Gaussian kernel-based calculation over two orders of magnitude change in insert volume for (99m) Tc and (177)Lu. These new organ-specific calibration factors show a 24, 11 and 8 % reduction in absorbed dose for the liver, spleen and kidneys, respectively. Non-spherical calibration factors from 3D printed phantom inserts can significantly improve the accuracy of whole organ activity quantification for molecular radiotherapy, providing a crucial step towards individualised activity quantification and patient-specific dosimetry. 3D printed inserts are found to provide a cost effective and efficient way for clinical centres to access more realistic phantom data. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 2% |
| Unknown | 58 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 20% |
| Researcher | 9 | 15% |
| Student > Master | 5 | 8% |
| Student > Bachelor | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Other | 10 | 17% |
| Unknown | 16 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 18 | 31% |
| Medicine and Dentistry | 10 | 17% |
| Engineering | 8 | 14% |
| Unspecified | 2 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 19 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 July 2016.
All research outputs
#14,857,184
of 22,881,154 outputs
Outputs from EJNMMI Physics
#61
of 181 outputs
Outputs of similar age
#216,453
of 354,668 outputs
Outputs of similar age from EJNMMI Physics
#2
of 3 outputs
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