Prognostic value of metabolic metrics extracted from baseline positron emission tomography images in non-small cell lung cancer

Figures & data

Figure 1. Transverse view of CT-PET scan of NSCLC patients. Examples of intensity volume histograms for the two patients are shown on the right. Maximum SUV for patients A and B (top and bottom left) are, respectively, 10.1 and 6.3. From the RVRI curves, it can be inferred that the minimum SUV is around 8% (0.80) and 20% (1.25) of the maximum uptake. AVAI curves confirm that all the tumor volume is above these minimum uptake values for the corresponding patient.

Table I. Cox regression statistics of imaging features in univariable analysis.

	Univariable cox regression
Feature	log(HR)	HR	p-value	95% CI HR
Absolute intensity above relative volume
70%	0.01	1.01	0.62	0.96–1.07
80%	0.01	1.01	0.63	0.97–1.06
90%	0.01	1.01	0.64	0.97–1.05
Absolute volume above absolute intensity
0.5	0.00	1.00	0.01*	1.00–1.00
1.0	0.00	1.00	0.01*	1.00–1.00
1.5	0.00	1.00	0.01*	1.00–1.00
Absolute volume above relative intensity
70%	0.01	1.01	0.17	1.00–1.02
80%	0.02	1.02	0.38	0.98–1.07
90%	0.02	1.02	0.87	0.79–1.32
Relative volume above absolute intensity
0.5	−0.75	0.48	0.43	0.07–3.07
1.0	0.12	1.13	0.80	0.44–2.92
1.5	0.32	1.38	0.38	0.68–2.81
Relative volume above relative intensity
70%	−1.32	0.27	0.08	0.06–1.16
80%	−2.19	0.11	0.05*	0.01–1.01
90%	−3.35	0.04	0.14	0.00–3.07
Maximum SUV	0.02	1.02	0.20	0.99–1.05
Mean SUV	0.03	1.03	0.44	0.96–1.10
Peak SUV	0.02	1.02	0.22	0.99–1.06
Volume	0.00	1.00	0.00*	1.00–1.00

*A statistical significance of 5% was used along the analysis.