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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Comparison of Techniques for 90Y PET/CT Image-Based Dosimetry Following Radioembolization with Resin Microspheres
|
|---|---|
| Published in |
Frontiers in oncology, May 2014
|
| DOI | 10.3389/fonc.2014.00121 |
| Pubmed ID | |
| Authors |
Alexander S. Pasciak, Austin C. Bourgeois, Yong C. Bradley |
| Abstract |
(90)Y PET/CT following radioembolization has recently been established as a viable diagnostic tool, capable of producing images that are both quantitative and have superior image quality than alternative (90)Y imaging modalities. Because radioembolization is assumed to be a permanent implant, it is possible to convert quantitative (90)Y PET image sets into data representative of spatial committed absorbed-dose. Multiple authors have performed this transformation using dose-point kernel (DPK) convolution to account for the transport of the high-energy (90)Y β-particles. This article explores a technique called the Local Deposition Method (LDM), an alternative to DPK convolution for (90)Y image-based dosimetry. The LDM assumes that the kinetic energy from each (90)Y β-particle is deposited locally, within the voxel where the decay occurred. Using the combined analysis of phantoms scanned using (90)Y PET/CT and ideal mathematical phantoms, an accuracy comparison of DPK convolution and the LDM has been performed. Based on the presented analysis, DPK convolution provides no detectible accuracy benefit over the LDM for (90)Y PET-based dosimetry. For PET systems with (90)Y resolution poorer than 3.25 mm at full-width and half-max using a small voxel size, the LDM may produce a dosimetric solution that is more accurate than DPK convolution under ideal conditions; however, image noise can obscure some of the perceived benefit. As voxel size increases and resolution decreases, differences between the LDM and DPK convolution are reduced. The LDM method of post-radioembolization dosimetry has the advantage of not requiring additional post-processing. The provided conversion factors can be used to determine committed absorbed-dose using conventional PET image analysis tools. The LDM is a recommended option for routine post-radioembolization (90)Y dosimetry based on PET/CT imaging. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 40% |
| Switzerland | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 40% |
| Scientists | 1 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 89 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 18% |
| Student > Ph. D. Student | 15 | 17% |
| Student > Master | 12 | 13% |
| Other | 7 | 8% |
| Student > Bachelor | 5 | 6% |
| Other | 17 | 19% |
| Unknown | 17 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 30% |
| Physics and Astronomy | 26 | 29% |
| Engineering | 7 | 8% |
| Computer Science | 3 | 3% |
| Nursing and Health Professions | 2 | 2% |
| Other | 5 | 6% |
| Unknown | 19 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 07 June 2014.
All research outputs
#14,914,476
of 25,373,627 outputs
Outputs from Frontiers in oncology
#4,134
of 22,416 outputs
Outputs of similar age
#119,217
of 240,011 outputs
Outputs of similar age from Frontiers in oncology
#23
of 91 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,416 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 80% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 240,011 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.