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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluation of a dedicated brain metastases treatment planning optimization for radiosurgery: a new treatment paradigm?
|
|---|---|
| Published in |
Radiation Oncology, February 2016
|
| DOI | 10.1186/s13014-016-0593-y |
| Pubmed ID | |
| Authors |
Thierry Gevaert, Femke Steenbeke, Luca Pellegri, Benedikt Engels, Nicolas Christian, Marie-Thérèse Hoornaert, Dirk Verellen, Carine Mitine, Mark De Ridder |
| Abstract |
To investigate the feasibility of a novel dedicated treatment planning solution, to automatically target multiple brain metastases with a single isocenter and multiple inversely-optimized dynamic conformal arcs (DCA), and to benchmark it against the well-established multiple isocenter DCA (MIDCA) and volumetric modulated arc therapy (VMAT) approaches. Ten previously treated patients were randomly selected, each representing a variable number of lesions ranging between 1 to 8. The original MIDCA treatments were replanned with both VMAT and the novel brain metastases tool. The plans were compared by means of Paddick conformity (CI) and gradient index (GI), and the volumes receiving 10 Gy (V10) and 12 Gy (V12). The brain metastases software tool generated plans with similar CI (0.65 ± 0.08) as both established treatment techniques while improving the gradient (mean GI = 3.9 ± 1.4). The normal tissue exposure in terms of V10 (48.5 ± 35.9 cc) and V12 (36.3 ± 27.1 cc) compared similarly to the MIDCA technique and surpassed VMAT plans. The automated brain metastases planning algorithm software is an optimization of DCA radiosurgery by increasing delivery efficiency to the level of VMAT approaches. Improving dose gradients and normal tissue sparing over VMAT, revives DCA as the paradigm for linac-based stereotactic radiosurgery of multiple brain metastases. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 1 | 17% |
| Cyprus | 1 | 17% |
| Portugal | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 1% |
| France | 1 | 1% |
| Unknown | 83 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 13 | 15% |
| Researcher | 13 | 15% |
| Student > Master | 11 | 13% |
| Student > Ph. D. Student | 9 | 11% |
| Professor > Associate Professor | 6 | 7% |
| Other | 13 | 15% |
| Unknown | 20 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 29% |
| Physics and Astronomy | 19 | 22% |
| Nursing and Health Professions | 4 | 5% |
| Computer Science | 2 | 2% |
| Mathematics | 2 | 2% |
| Other | 9 | 11% |
| Unknown | 24 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 05 July 2022.
All research outputs
#4,792,427
of 24,007,780 outputs
Outputs from Radiation Oncology
#171
of 2,070 outputs
Outputs of similar age
#82,468
of 404,330 outputs
Outputs of similar age from Radiation Oncology
#2
of 52 outputs
Altmetric has tracked 24,007,780 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,070 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done particularly well, scoring higher than 91% 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 404,330 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.