| Title |
11C-choline PET/CT tumor recurrence detection and survival prediction in post-treatment patients with high-grade gliomas
|
|---|---|
| Published in |
Tumor Biology, September 2014
|
| DOI | 10.1007/s13277-014-2549-x |
| Pubmed ID | |
| Authors |
Wanhu Li, Li Ma, Xiaoyue Wang, Jujie Sun, Suzhen Wang, Xudong Hu |
| Abstract |
The aim of the present study is to evaluate the role of (11)C-choline positron emission tomography/computed tomography (PET/CT) in detecting tumor recurrence and predicting survival in post-treatment patients with high-grade gliomas. A total of 16 previously treated histopathologically proven high-grade glioma patients were subjected to (11)C-choline PET/CT scan and survival analysis. We found that the sensitivity and specificity of (11)C-choline PET/CT were 100 and 70 %, whereas those of Gd-MRI were 83.3 and 60 %, respectively. By Cox regression analysis, (11)C-choline T/N ratio correlated obviously with overall survival (OS) (hazard ratio = 2.644, 95 % confidence interval [CI] = 1.027-6.807, p = 0.044) independent of Karnofsky performance score. Patients with lower T/N ratio (tumor uptake/normal brain tissue uptake) (≤1.42) had longer survival times than patients with higher T/N ratio (median OS = 15.4 vs. 5.3 months, p < 0.001; progression-free survival (PFS) =4.5 vs. 0.8 months, p = 0.004). Thus, this preliminary study suggests that (11)C-choline PET/CT is highly sensitive in detecting tumor recurrence in post-treatment patients with high-grade gliomas. Moreover, our preliminary results suggest that T/N ratio measured by (11)C-choline maybe serves as a predictor of patients' survival with suspected recurrent glioma. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 4% |
| Unknown | 27 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 29% |
| Student > Ph. D. Student | 5 | 18% |
| Other | 2 | 7% |
| Researcher | 2 | 7% |
| Student > Postgraduate | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 6 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 68% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Neuroscience | 1 | 4% |
| Physics and Astronomy | 1 | 4% |
| Unknown | 6 | 21% |
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 05 September 2014.
All research outputs
#20,236,620
of 22,763,032 outputs
Outputs from Tumor Biology
#1,834
of 2,622 outputs
Outputs of similar age
#199,233
of 237,864 outputs
Outputs of similar age from Tumor Biology
#72
of 125 outputs
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