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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Suspected recurrence of brain metastases after focused high dose radiotherapy: can [18F]FET- PET overcome diagnostic uncertainties?
|
|---|---|
| Published in |
Radiation Oncology, October 2016
|
| DOI | 10.1186/s13014-016-0713-8 |
| Pubmed ID | |
| Authors |
Alexander Romagna, Marcus Unterrainer, Christine Schmid-Tannwald, Matthias Brendel, Jörg-Christian Tonn, Silke Birgit Nachbichler, Alexander Muacevic, Peter Bartenstein, Friedrich-Wilhelm Kreth, Nathalie Lisa Albert |
| Abstract |
After focused high dose radiotherapy of brain metastases, differentiation between tumor recurrence and radiation-induced lesions by conventional MRI is challenging. This study investigates the usefulness of dynamic O-(2-(18)F-Fluoroethyl)-L-Tyrosine positron emission tomography ((18)F-FET PET) in patients with MRI-based suspicion of tumor recurrence after focused high dose radiotherapy of brain metastases. Twenty-two patients with 34 brain metastases (median age 61.9 years) were included. Due to follow-up scan evaluations after repeated treatment in a subset of patients, a total of 50 lesions with MRI-based suspicion of tumor recurrence after focused high dose radiotherapy could be evaluated. (18)F-FET PET analysis included the assessment of maximum and mean tumor-to-background ratio (TBRmax and TBRmean) and analysis of time-activity-curves (TAC; increasing vs. decreasing) including minimal time-to-peak (TTPmin). PET parameters were correlated with histological findings and radiological-clinical follow-up evaluation. Tumor recurrence was found in 21/50 cases (15/21 verified by histology, 6/21 by radiological-clinical follow-up) and radiation-induced changes in 29/50 cases (5/29 verified by histology, 24/29 by radiological-clinical follow-up). Median clinical-radiological follow-up was 28.3 months (range 4.2-99.1 months). (18)F-FET uptake was higher in tumor recurrence compared to radiation-induced changes (TBRmax 2.9 vs. 2.0, p < 0.001; TBRmean 2.2 vs. 1.7, p < 0.001). Receiver-operating-characteristic (ROC) curve analysis revealed optimal cut-off values of 2.15 for TBRmax and 1.95 for TBRmean (sensitivity 86 %, specificity 79 %). Increasing TACs and long TTPmin were associated with radiation-induced changes, decreasing TACs with tumor recurrence (p = 0.01). By combination of TBR and TACs, sensitivity and specificity could be increased to 93 and 84 %. In patients with MRI-suspected tumor recurrence after focused high dose radiotherapy, (18)F-FET PET has a high sensitivity and specificity for the differentiation of vital tumor tissue and radiation-induced lesions. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Cyprus | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 25% |
| Researcher | 5 | 13% |
| Student > Bachelor | 4 | 10% |
| Student > Postgraduate | 3 | 8% |
| Student > Master | 3 | 8% |
| Other | 6 | 15% |
| Unknown | 9 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 38% |
| Agricultural and Biological Sciences | 5 | 13% |
| Nursing and Health Professions | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Chemistry | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 9 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 06 November 2016.
All research outputs
#18,475,157
of 22,893,031 outputs
Outputs from Radiation Oncology
#1,416
of 2,060 outputs
Outputs of similar age
#239,265
of 316,323 outputs
Outputs of similar age from Radiation Oncology
#22
of 43 outputs
Altmetric has tracked 22,893,031 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,060 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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 316,323 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.