In:
Nuclear Medicine Communications, Ovid Technologies (Wolters Kluwer Health), Vol. 41, No. 1 ( 2020-01), p. 48-57
Abstract:
To investigate the relationship between the prognosis and glucose transporter-1 (Glut-1) expression or fluorine-18 fluorodeoxyglucose uptake using partial volume correction and dual-point imaging in surgically resected nonsmall cell lung cancer (NSCLC) patients. Methods Our patient population consisted of 108 NSCLC cases. The early maximum standardized uptake value (ESUVmax), delayed SUVmax (DSUVmax), partial volume correction SUVmax (cSUVmax) and retention index of primary lesions were calculated. Cox proportional hazard model was applied to evaluate the effects of PET parameters and Glut-1 expression. Overall survival (OS) and disease-free survival (DFS) were evaluated by Kaplan–Meier methods, and the difference in survival between subgroups was analyzed by log-rank test. Results On the Cox regression analysis, ESUVmax, DSUVmax, cSUVmax and Glut-1 were significantly related to DFS [ESUVmax, hazard ratio = 2.301, 95% confidential interval (CI) = 1.146–4.618, P = 0.019; DSUVmax, hazard ratio = 2.483, 95% CI = 1.257–4.905, P = 0.009; cSUVmax, hazard ratio = 2.205, 95% CI = 1.038–4.686, P = 0.04; Glut-1, hazard ratio = 2.095, 95% CI = 1.086–4.041, P = 0.001] and OS (ESUVmax, hazard ratio = 3.197, 95% CI = 1.339–7.633, P = 0.009; DSUVmax, hazard ratio = 3.599, 95% CI = 1.521–8.516, P = 0.004; cSUVmax, hazard ratio = 8.655, 95% CI = 2.048–36.658, P = 0.003; Glut-1, hazard ratio = 2.427, 95% CI = 5.140, P = 0.021). Retention index had no significant association with DFS or OS. On the Kaplan–Meier survival curves, the patients with high ESUVmax, DSUVmax, cSUVmax and Glut-1 showed significantly worse prognosis than those with low values (ESUVmax: DFS, P = 0.001, OS, P = 0.003; DSUVmax: DFS, P = 0.002, OS, P = 0.004; cSUVmax: DFS, P 〈 0.001, OS, P = 0.013; Glut-1: DFS, P = 0.012, OS, P = 0.002). Conclusions cSUVmax, ESUVmax, DSUVmax and Glut-1 may be more useful biomarkers than retention index for predicting outcomes in NSCLC patients.
Type of Medium:
Online Resource
ISSN:
0143-3636
DOI:
10.1097/MNM.0000000000001118
Language:
English
Publisher:
Ovid Technologies (Wolters Kluwer Health)
Publication Date:
2020
detail.hit.zdb_id:
2028880-3
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