2018
DOI: 10.1007/s00259-018-4173-2
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Prognostic role of baseline 18F-FDG PET/CT metabolic parameters in Burkitt lymphoma

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Cited by 65 publications
(50 citation statements)
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“…However, in our study, Cox's proportional hazards models indicated that SUV TBR was not an independent prognostic factor for OS, despite a significantly longer OS in patients with lower SUV TBR in the univariate analysis. This result is highly in agreement with the previous findings by Albano et al (43,44). One possible explanation is that, due to the anatomical structure, the SUVmax of the blood pool may be influenced by the primary esophageal tumor and mediastinal metastatic lymph nodes.…”
Section: Discussionsupporting
confidence: 93%
“…However, in our study, Cox's proportional hazards models indicated that SUV TBR was not an independent prognostic factor for OS, despite a significantly longer OS in patients with lower SUV TBR in the univariate analysis. This result is highly in agreement with the previous findings by Albano et al (43,44). One possible explanation is that, due to the anatomical structure, the SUVmax of the blood pool may be influenced by the primary esophageal tumor and mediastinal metastatic lymph nodes.…”
Section: Discussionsupporting
confidence: 93%
“…Previous clinicopathological studies demonstrated that PD-L1 expression level within tumor cells was closely correlated with 18 F-FDG uptake 10 12 ; therefore, the accumulation of 18 F-FDG may be expected to predict the efficacy of anti-PD-1 antibody, similar to the role of PD-L1 expression as a predictive marker. In patients with Burkitt’s lymphoma as an aggressive lymphoma, it has reported that metabolic tumor volumes determined by MTV and TLG significantly correlated with response to treatment and long-term survival compared to SUV max 21 . Also, Albano et al reported that MTV and TLG were closely associated with therapeutic response and PFS in patients with mantle cell lymphoma 22 .…”
Section: Discussionmentioning
confidence: 99%
“…These so-called second-order metrics, also based on the SUV concept, are very interesting as they-in contrast to first order metrics as SUV max or SUV peak -try to capture the metabolic information from the entire tumour volume. And indeed, several studies report very promising results regarding the prognostic value of these parameters for various lymphoma types [30,31] as well as for soft tissue and bone sarcoma [16,32]. However, studies comparing the value of MTV and TLG with simple SUV max and SUV peak metrics as used in the current work do not show a clear advantage of the second-order methods in these tumour types [33][34][35].…”
Section: Discussionmentioning
confidence: 66%