Improving the accuracy of prognosis for clinical stage I solid lung adenocarcinoma by radiomics models covering tumor per se and peritumoral changes on CT

Objectives To assess methods to improve the accuracy of prognosis for clinical stage I solid lung adenocarcinoma using radiomics based on different volumes of interests (VOIs). Methods This retrospective study included patients with postoperative clinical stage I solid lung adenocarcinoma from two hospitals, center 1 and center 2. Three databases were generated: dataset A (training set from center 1), dataset B (internal test set from center 1), and dataset C (external validation test from center 2). Disease-free survival (DFS) data were collected. CT radiomics models were constructed based on four VOIs: gross tumor volume (GTV), 3 mm external to the tumor border (peritumoral volume [PTV](0 similar to+3)), 6 mm crossing tumor border (PTV-3 similar to+3), and 6 mm external to the tumor border (PTV0 similar to+6). The area under the receiver operating characteristic curve (AUC) was used to compare the model accuracies. Results A total of 334 patients were included (204 and 130 from centers 1 and 2). The model using PTV-3 similar to+3 (AUC 0.81 [95% confidence interval {CI}: 0.75, 0.94], 0.81 [0.63, 0.90] for datasets B and C) outperformed the other three models, GTV (0.73 [0.58, 0.81], 0.73 [0.58, 0.83]), PTV0 similar to+3 (0.76 [0.52, 0.87], 0.75 [0.60, 0.83]), and PTV0 similar to+6 (0.72 [0.60, 0.81], 0.69 [0.59, 0.81]), in datasets B and C, all p < 0.05. Conclusions A radiomics model based on a VOI of 6 mm crossing tumor border more accurately predicts prognosis of clinical stage I solid lung adenocarcinoma than that based on VOIs including overall tumor or external rims of 3 mm and 6 mm.

Automated summary

In predicting prognosis of clinical stage I solid lung adenocarcinoma, a radiomics model based on a VOI of 6 mm crossing tumor border showed better accuracy compared to other models.