Work

[Noninvasive prediction of EGFR gene mutation in lung adenocarcinoma using multiparametric CT perfusion imaging].

Year: 2026

Type: article

Abstract: OBJECTIVES: mutation status in LUAD. METHODS: mutation and to construct a combined prediction model. Receiver operating characteristic (ROC) curves and the area under the curve (AUC) were used to evaluate the predictive performance of each independent predictor and the combined model. RESULTS: <0.05). CONCLUSIONS: mutation in patients with LUAD. The combined CTPI model incorporating BV and PS demonstrated good predictive potential in this cohort, although further validation in large, multicenter studies is required.

Source: PubMed Central

DOI: 10.11817/j.issn.1672-7347.2026.250665