| Title |
Prognostic value of volume-based metabolic parameters of 18F-FDG PET/CT in ovarian cancer: a systematic review and meta-analysis
|
|---|---|
| Published in |
Annals of Nuclear Medicine, August 2018
|
| DOI | 10.1007/s12149-018-1289-1 |
| Pubmed ID | |
| Authors |
Sangwon Han, Hyesung Kim, Yeon Joo Kim, Chong Hyun Suh, Sungmin Woo |
| Abstract |
To perform a systematic review and meta-analysis on the prognostic value of 18F-FDG PET-derived volume-based parameters regarding metabolic tumor volume (MTV) and total lesion glycolysis (TLG) in patients with ovarian cancer. Pubmed and EMBASE databases were searched up to February 12, 2018 for studies which evaluated MTV or TLG as a prognostic factor in ovarian cancer with progression-free (PFS) and overall survival (OS) as the endpoints. Hazard ratios (HRs) were meta-analytically pooled using the random-effects model. Multiple subgroup analyses based on clinicopathological and PET variables were performed. Eight studies with 473 patients were included. The pooled HRs of MTV and TLG for PFS were 2.50 (95% CI 1.79-3.48; p < 0.00001) and 2.42 (95% CI 1.61-3.65; p < 0.0001), respectively. Regarding OS, the pooled HRs of MTV and TLG were 8.06 (95% CI 4.32-15.05; p < 0.00001) and 7.23 (95% CI 3.38-15.50; p < 0.00001), respectively. Multiple subgroup analyses consistently showed that MTV and TLG were significant prognostic factors for PFS with pooled HRs ranging from 2.35 to 2.58 and from 1.73 to 3.35, respectively. MTV and TLG from 18F-FDG PET were significant prognostic factors in patients with ovarian cancer. Despite the clinical heterogeneity and difference in methodology between the studies, patients with a high MTV or TLG have a higher risk of disease progression or death. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 17% |
| Researcher | 3 | 13% |
| Student > Bachelor | 3 | 13% |
| Student > Postgraduate | 2 | 8% |
| Student > Master | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 8 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 42% |
| Agricultural and Biological Sciences | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Sports and Recreations | 1 | 4% |
| Chemistry | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 10 | 42% |
Attention Score in Context
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#17,987,106
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Outputs from Annals of Nuclear Medicine
#372
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#238,054
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Outputs of similar age from Annals of Nuclear Medicine
#14
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