ARRS 2022 Abstracts

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E1651. Prediction of EGFR Mutation in Peripheral Lung Cancer by Five-Line Sign on CT
Authors
  1. Anle Yu; First Affiliated Hospital of Hainan Medical College
  2. Qun Li; First Affiliated Hospital of Hainan Medical College
  3. Jinlong He; First Affiliated Hospital of Hainan Medical College
  4. Chao Hong; First Affiliated Hospital of Hainan Medical College
  5. Feng Li; First Affiliated Hospital of Hainan Medical College
  6. Yusen Shi; First Affiliated Hospital of Hainan Medical College
Objective:
The objective of this study was to explore if the five-line sign on CT scans can be used as an imaging finding alone to predict epidermal growth factor receptor (EGFR) mutation in peripheral lung cancer.

Materials and Methods:
The relationship between EGFR mutation and various CT features and clinical variables in a group of Asian patients with peripheral lung cancer confirmed by pathology was analyzed retrospectively. CT image reconstruction and grading was the responsibility of two doctors who did not know the clinical and medical history of the patients. According to the clarity of the five-line sign at the tumor edge reconstructed by maximal intensity projection (MIP), the five-line sign was divided into grades 1–4. Clinical variables include sex, smoking history, smoking index, and so on. Multiple logistic regression analysis was performed to determine various factors predicting EGFR mutation status.

Results:
Among 122 patients (mean ± SD age, 60 ± 11 years, 66 males), EGFR mutation was detected in 62 (50.8%) subjects. Multiple logistic regression analysis showed that the five-line sign grade was an independent factor for predicting EGFR mutation in lung cancer (B = 0.466 > 0, P = 0.015). With the increase of the five-line sign grade, the probability of EGFR mutation increased (OR = 1.593, 95% CI: 1.095–2.316, AUC = 0.634). The AUC of non-smokers with five-line sign grading was 0.698.

Conclusion:
The five-line sign might be used as one of the CT morphological findings to predict EGFR mutation in lung cancer. EGFR mutation rates increase along with increase of five-line sign grading.