| Title |
Total lesion glycolysis by 18F-FDG PET/CT is a reliable predictor of prognosis in soft-tissue sarcoma
|
|---|---|
| Published in |
European Journal of Nuclear Medicine and Molecular Imaging, July 2013
|
| DOI | 10.1007/s00259-013-2511-y |
| Pubmed ID | |
| Authors |
Eun-Seok Choi, Seung-Gyun Ha, Han-Soo Kim, Jae Hong Ha, Jin Chul Paeng, Ilkyu Han |
| Abstract |
Preoperative identification of aggressiveness is important for the establishment of a treatment strategy in patients with soft-tissue sarcoma (STS). We compared the predictive values of various metabolic parameters derived from PET/CT with (18)F-FDG, including maximal standardized uptake value (SUVmax), total lesion glycolysis (TLG) and metabolic tumour volume (MTV). |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 1 | 2% |
| Unknown | 50 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 22% |
| Researcher | 7 | 14% |
| Student > Bachelor | 6 | 12% |
| Student > Postgraduate | 4 | 8% |
| Professor > Associate Professor | 4 | 8% |
| Other | 11 | 22% |
| Unknown | 8 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 34 | 67% |
| Agricultural and Biological Sciences | 1 | 2% |
| Nursing and Health Professions | 1 | 2% |
| Decision Sciences | 1 | 2% |
| Engineering | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 13 | 25% |