| Title |
Sarcoma tumor FDG uptake measured by PET and patient outcome: a retrospective analysis
|
|---|---|
| Published in |
European Journal of Nuclear Medicine and Molecular Imaging, June 2002
|
| DOI | 10.1007/s00259-002-0859-5 |
| Pubmed ID | |
| Authors |
Janet F. Eary, Finbarr O'Sullivan, Yudi Powitan, Kingshuk Chandhury, Cheryl Vernon, James D. Bruckner, Ernest U. Conrad |
| Abstract |
In a retrospective analysis of patients with sarcoma who underwent fluorodeoxyglucose positron emission tomography (FDG PET) imaging, tumor maximum FDG uptake was analyzed for ability to predict patient survival and disease-free interval. Two hundred and nine patients with sarcoma were imaged prior to treatment with neoadjuvant chemotherapy or resection. Tumor FDG uptake expressed as maximum standard uptake value (SUV(max)) was compared with disease-free and overall survival. A multivariate Cox regression analysis was applied to examine the role of SUV(max) in predicting time to death or disease progression, after adjusting for standard clinical prognostic factors. The multivariate analyses showed that the SUV(max) information is a statistically significant independent predictor of patient survival. Tumors with larger SUV(max) have a significantly poorer prognosis. This retrospective analysis indicates that the sarcoma tumor SUV(max) value determined by PET is an independent predictor of survival and disease progression. |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| China | 1 | 2% |
| Unknown | 38 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 12% |
| Student > Bachelor | 5 | 12% |
| Professor > Associate Professor | 5 | 12% |
| Student > Master | 5 | 12% |
| Student > Doctoral Student | 3 | 7% |
| Other | 8 | 20% |
| Unknown | 10 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 49% |
| Engineering | 3 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Agricultural and Biological Sciences | 1 | 2% |
| Mathematics | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 13 | 32% |
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 18 May 2016.
All research outputs
#4,412,365
of 23,806,312 outputs
Outputs from European Journal of Nuclear Medicine and Molecular Imaging
#476
of 3,083 outputs
Outputs of similar age
#6,833
of 45,435 outputs
Outputs of similar age from European Journal of Nuclear Medicine and Molecular Imaging
#2
of 10 outputs
Altmetric has tracked 23,806,312 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,083 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 81% 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 45,435 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 83% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.