EJNMMI Physics

Table 2 Summary of the model training for kidneys, tumors, liver, spleen and bone marrow

From: Simple model for estimation of absorbed dose by organs and tumors after PRRT from a single SPECT/CT study

	Model training
	Solid organs and tumors
	n_train	\({\alpha }_{0,k}\)	\({\alpha }_{1,k}\)	\({\alpha }_{2,k}\)	\({r}_{\mathrm{train}}^{2}\)	n_train	\({\alpha }_{0,k}\)	\({\alpha }_{1,k}\)	\({\alpha }_{2,k}\)	\({r}_{\mathrm{train}}^{2}\)
	t_f = t₁					t_f = t₂
Kidneys	40	12.01	0.91	0.0153	0.85	36	11.87	0.85	0.0117	0.98
Tumors	39	13.27	1.03	− 0.0105	0.97	35	12.90	0.99	0.0070	0.99
Liver	40	12.37	0.96	0.0205	0.88	36	11.86	0.86	0.0111	0.97
Spleen	37	12.21	1.00	0.0336	0.97	33	12.48	0.93	0.0094	0.99
	t_f = t₃					t_f (t₁, t₂, t₃)
Kidneys	40	11.83	0.83	0.0103	0.95	116	11.86	0.85	0.0111	0.94
Tumors	39	12.76	0.97	0.0081	0.99	113	12.80	0.99	0.0086	0.99
Liver	40	12.57	0.91	0.0077	0.97	116	12.26	0.90	0.0090	0.92
Spleen	37	12.52	0.94	0.0090	0.99	107	12.51	0.95	0.0094	0.98

t_f	Bone marrow
t_f	n_train	\({\Theta }_{\mathrm{BM,BM}}\)	\({\Theta }_{\mathrm{BM,RM}}\)	\({\beta }_{0,{\mathrm{BM}}}\)	\({\beta }_{1,{\mathrm{BM}}}\)	\({\beta }_{2,{\mathrm{BM}}}\)	\({r}_{\mathrm{train}}^{2}\)
t₁	40	1868	319	4.26	1.07	0.0241	0.78
t₃	40	1889	315	5.03	0.82	0.0069	0.92
(t₁, t₃)	80	1879	316	4.59	0.90	0.0101	0.83

t_f and n_train represent, respectively, the time points considered for model training and the number of studies included in each case. α, β and \(\Theta\) represent the regression coefficients obtained for a given organ/tumor and t_f. Corresponding coefficients of determination \({r}_{\mathrm{train}}^{2}\) are also shown

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