Abstract 88P
Background
Correctly determining the degree of invasiveness based on histological pattern is markedly important in developing effective treatment strategies. Analyzing the characteristics of SPNs is quite important. The aim of our study, therefore, was to investigate the value of CT parameters in predicting the degree of risk.
Methods
Patients with clinical stage 0 to IB NSCLC who underwent radical surgical resection and were pathologically diagnosed with invasive adenocarcinoma were enrolled. All patients in this study underwent preoperative high-resolution CT scans with three-dimensional reconstruction. The minimum, maximum, and mean HU values were measured and recorded by Dr. Wise Lung Analyser on preoperative CT scans. All pathology specimens were centrally reviewed.
Results
The mean age was 57.4 ± 10.2 years old (median age was 57 years old), and 228 (64.2%) were females. A total of 355 SPNs were evaluated. CT findings revealed 71 pure GGO lesions (20.0%), 206 part-solid GGO lesions (58.0%), and 78 solid lesions (22.0%). In univariate logistic regression analysis, CT value max, CT value min, CT value mean, CT findings, and clinical stage were significantly related to high-risk SPN. The CT value mean and CT findings were independent significant factors on multivariate analysis. The receiver operating characteristic area under the curve used to identify low- or high-risk SPNs was 0.811.
Conclusions
The CT value mean and CT findings were independently correlated with high-risk SPN in multivariate analysis and are likely to be helpful for decisions on the therapeutic regimen, especially the appropriate extent of surgical resection.
Editorial acknowledgement
This paper was edited for English language by American Journal Experts (AJE).
Legal entity responsible for the study
The authors.
Funding
National Natural Science Foundation of China 81702251, 81972176 Natural Science Foundation of Shanghai 18ZR1435100 Nurture Projects for Basic Research of Shanghai Chest Hospital 2021YNJCQ3 Shanghai Hospital Development Center SHDC12016113 Shanghai Municipal Health Commission 20214Y0418 Shanghai Talent Development Fund 2021068 Talent training plan of Shanghai Chest Hospital Wu Jieping Medical Foundation 320.6750.2020-15-6.
Disclosure
All authors have declared no conflicts of interest.