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. 2023 Oct 26;13:92. doi: 10.1186/s13550-023-01047-5

Table 3.

Clinical predictors and metabolic parameters of Cox regression analysis for predicting PFS and OS

Category End points Variables Univariate analysis Multivariate analysis
HR 95%CI P HR 95%CI P
Clinical predictors PFS NCCN-IPI 1.331 1.145–1.548  < 0.001 1.215 1.021–1.445 0.028
β2-MG 2.668 1.606–4.433  < 0.001 1.904 1.060–3.421 0.031
OS NCCN-IPI 1.419 1.174–1.715  < 0.001 1.294 1.041–1.607 0.020
β2-MG 3.015 1.589–5.719  < 0.001 1.933 0.927–4.030 0.079
Metabolic parameters PFS SUVmax 1.352 0.814–2.247 0.244
SDmax 5.592 2.652–11.790  < 0.001 4.758 2.236–10.120  < 0.001
TMTV 2.816 1.654–4.796  < 0.001 2.186 1.275–3.750 0.004
OS SUVmax 1.664 0.849–3.262 0.138
SDmax 4.499 2.126–9.517  < 0.001 3.939 1.832–8.469  < 0.001
TMTV 2.441 1.209–4.932 0.013 1.797 0.874–3.697 0.111

PFS progression-free survival, OS overall survival, NCCN-IPI National Comprehensive Cancer Network-International Prognostic Index, β2-MG β2-microglobulin, SUVmax maximum standardized uptake value, Dmax the largest distance between two lesions, SDmax standardized Dmax, TMTV total metabolic tumor volume, HR hazard ratio, CI confidence interval.