Predicting recurrence of non-small cell lung cancer based on mean computed tomography value

Abstract Background The aim of this study was to assess the ability using mean computed tomography (mCT) values predict non-small cell lung cancer (NSCLC) tumor recurrence. Methods A retrospective conducted on 494 patients with stage IA NSCLC. Receiver operating characteristics analysis used use mCT value, C/T ratio, size, and SUV Multiple logistic regression analyses were performed determine independent variables for prediction Results m-CT ? 213.7 ± 10.2 Hounsfield Units (HU) recurrence group 594.1 11.6 HU non-recurrence ( p < 0.0001). Recurrence occurred in 45 (9.1%). strongly associated a high CT attenuation large solid SUV. diagnostic value more accurate than excluding pure ground-glass opacity (0 ratio 100) groups. are predictive factors Conclusions evaluation useful predicting after limited resection small-sized NSCLC, may potentially contribute selection suitable treatment strategies.