A novel radiomic nomogram for predicting epidermal growth factor receptor mutation in peripheral lung adenocarcinoma.

CONCLUSION: The prediction model built by radiomic biomarkers and clinicopathological features, including the radiomic signature, sex, smoking, vascular infiltration, and pathological type, outperformed the other two models and could effectively predict the EGFR mutation status in patients with peripheral lung adenocarcinoma. The radiomic nomogram of this model is expected to become an effective biomarker for patients with lung adenocarcinoma requiring adjuvant targeted treatment.
PMID: 31978901 [PubMed - as supplied by publisher]

Source: Physics in Medicine and Biology - January 23, 2020 Category: Physics Authors: Lu X, Li M, Zhang HM, Hua S, Meng F, Yang H, Li X, Cao D Tags: Phys Med Biol Source Type: research