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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Radiotoxicity in robotic radiosurgery: proposing a new quality index for optimizing the treatment planning of brain metastases
|
|---|---|
| Published in |
Radiation Oncology, August 2017
|
| DOI | 10.1186/s13014-017-0867-z |
| Pubmed ID | |
| Authors |
Alexandra Hellerbach, Klaus Luyken, Mauritius Hoevels, Andreas Gierich, Daniel Rueß, Wolfgang W. Baus, Martin Kocher, Maximilian I. Ruge, Harald Treuer |
| Abstract |
As irradiated brain volume at 12 Gy (V12) is a predictor for radionecrosis, the purpose of the study was to develop a model for Cyberknife (CK) plans that is able to predict the lowest achievable V12 at a given tumor size and prescription dose (PD), and to suggest a new quality index regarding V12 for optimizing the treatment planning of brain metastases. In our model V12 was approximated as a spherical shell around the tumor volume. The radial distance between tumor surface and the 12 Gy isodose line was calculated using an approximation of the mean dose gradient in that area. Assuming a radially symmetrical irradiation from the upper half space, the dose distribution is given by the superposition of single fields. The dose profiles of a single field were derived by the measured off-center ratios (OCR) of the CK system. Using the calculated gradients of the sum dose profiles, minimal-V12 was estimated for different tumor sizes. The model calculation was tested using a phantom dataset and retrospectively applied on clinical cases. Our model allows the prediction of a best-case scenario for V12 at a given tumor size and PD which was confirmed by the results of the isocentric phantom plans. The results of the non-isocentric phantom plans showed that an optimization of coverage caused an increase in V12. This was in accordance with the results of the retrospective analysis. V12 s of the clinical cases were on average twice that of the predicted model calculation. A good agreement was achieved for plans with an optimal conformity index (nCI). Re-planning of cases with high V12 showed that lower values could be reached by selecting smaller collimators and by allowing a larger number of total MU and more MU per beam. V12 is a main parameter for assessing plan quality in terms of radiotoxicity. The index f12 defined as the ratio of V12 from the actual plan with the evaluated V12 from our model describes the conformity of an optimally possible V12 and thus can be used as a new quality index for optimizing treatment plans. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 33% |
| United Kingdom | 1 | 11% |
| Mexico | 1 | 11% |
| Portugal | 1 | 11% |
| Cyprus | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
| Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 20% |
| Student > Ph. D. Student | 5 | 17% |
| Researcher | 3 | 10% |
| Student > Doctoral Student | 1 | 3% |
| Lecturer > Senior Lecturer | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 12 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 33% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 12 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 23 August 2017.
All research outputs
#6,534,837
of 25,321,938 outputs
Outputs from Radiation Oncology
#254
of 2,121 outputs
Outputs of similar age
#94,188
of 325,012 outputs
Outputs of similar age from Radiation Oncology
#9
of 36 outputs
Altmetric has tracked 25,321,938 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,121 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done well, scoring higher than 87% 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 325,012 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.