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| 024 | 7 | _ | |a 10.3390/cancers7010287 |2 doi |
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| 100 | 1 | _ | |a Hussein, Amr |0 P:(DE-HGF)0 |b 0 |
| 245 | _ | _ | |a FDG-PET Response Prediction in Pediatric Hodgkin’s Lymphoma: Impact of Metabolically Defined Tumor Volumes and Individualized SUV Measurements on the Positive Predictive Value |
| 260 | _ | _ | |a Basel |c 2015 |b MDPI |
| 336 | 7 | _ | |a article |2 DRIVER |
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| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1548679473_6660 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
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| 520 | _ | _ | |a Background: In pediatric Hodgkin’s lymphoma (pHL) early response-to-therapy prediction is metabolically assessed by (18)F-FDG PET carrying an excellent negative predictive value (NPV) but an impaired positive predictive value (PPV). Aim of this study was to improve the PPV while keeping the optimal NPV. A comparison of different PET data analyses was performed applying individualized standardized uptake values (SUV), PET-derived metabolic tumor volume (MTV) and the product of both parameters, termed total lesion glycolysis (TLG); Methods: One-hundred-eight PET datasets (PET1, n = 54; PET2, n = 54) of 54 children were analysed by visual and semi-quantitative means. SUVmax, SUVmean, MTV and TLG were obtained the results of both PETs and the relative change from PET1 to PET2 (Δ in %) were compared for their capability of identifying responders and non-responders using receiver operating characteristics (ROC)-curves. In consideration of individual variations in noise and contrasts levels all parameters were additionally obtained after threshold correction to lean body mass and background; Results: All semi-quantitative SUV estimates obtained at PET2 were significantly superior to the visual PET2 analysis. However, ΔSUVmax revealed the best results (area under the curve, 0.92; p < 0.001; sensitivity 100%; specificity 85.4%; PPV 46.2%; NPV 100%; accuracy, 87.0%) but was not significantly superior to SUVmax-estimation at PET2 and ΔTLGmax. Likewise, the lean body mass and background individualization of the datasets did not impove the results of the ROC analyses; Conclusions: Sophisticated semi-quantitative PET measures in early response assessment of pHL patients do not perform significantly better than the previously proposed ΔSUVmax. All analytical strategies failed to improve the impaired PPV to a clinically acceptable level while preserving the excellent NPV. |
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| 588 | _ | _ | |a Dataset connected to CrossRef |
| 700 | 1 | _ | |a Furth, Christian |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Schönberger, Stefan |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Hundsdoerfer, Patrick |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Steffen, Ingo |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a Amthauer, Holger |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Müller, Hans-Wilhelm |0 P:(DE-HGF)0 |b 6 |
| 700 | 1 | _ | |a Hautzel, Hubertus |0 P:(DE-Juel1)132313 |b 7 |e Corresponding author |
| 773 | _ | _ | |a 10.3390/cancers7010287 |g Vol. 7, no. 1, p. 287 - 304 |0 PERI:(DE-600)2527080-1 |n 1 |p 287 - 304 |t Cancers |v 7 |y 2015 |x 2072-6694 |
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