2023 World Conference on Lung Cancer (Posters)-EP06.02. PD-L1 Expressions in Non-small Cell Lung Cancer and its Correlation with Imaging Findings

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PD-L1 expression plays a crucial role in determining the treatment for non-small cell lung cancer (NSCLC). However, biopsy procedures may not always be feasible or provide sufficient samples for evaluating PD-L1 expression. In this study, the researchers aimed to identify imaging findings associated with PD-L1 expression in order to guide biopsy decision-making.<br /><br />The study analyzed 232 patients who had undergone complete resection for NSCLC between May and October 2022. The patients' PD-L1 status was known based on surgical specimens. The researchers performed statistical analysis to determine the association between PD-L1 expression and various imaging findings.<br /><br />The results showed that PD-L1 expression correlated with several imaging findings. Male patients were more likely to have PD-L1 expression compared to female patients. Smoking history was also associated with increased PD-L1 expression. Tumor size, consolidation size, mediastinal diameter, and SUVmax (a measure of cell density) were all predictors of PD-L1 expression. Multivariate analysis confirmed the significance of consolidation size, SUVmax, and SUVmax 5.5 in predicting PD-L1 expression.<br /><br />Based on these findings, the study suggests that lesions with a consolidation size of 1.0 or higher and SUVmax of 5.5 or higher are likely to be PD-L1 positive and should undergo biopsy, including re-biopsy if necessary.<br /><br />The study's results are consistent with previous research that has shown the relationship between PD-L1 expression and invasive tumor characteristics. The findings indicate that imaging findings can be used as predictive factors for PD-L1 expression in NSCLC.<br /><br />In conclusion, this study highlights the importance of assessing imaging findings to guide biopsy decision-making in NSCLC patients. The study identified consolidation size and SUVmax as effective predictors of PD-L1 expression. These findings can help optimize treatment decisions for NSCLC patients, particularly those with limited biopsy options or specimen availability.

Asset Subtitle

Naoko Shigeta

Meta Tag

Speaker Naoko Shigeta

Topic Pathology & Biomarkers: Biomarkers for Immuno-oncology

Keywords

PD-L1 expression

non-small cell lung cancer

NSCLC

biopsy procedures

imaging findings

biopsy decision-making

complete resection

statistical analysis

tumor size

SUVmax