2023 World Conference on Lung Cancer (Posters)-EP04.01. True Abnormal Cells in Normal Cases Detected by the PneuVision Test for Early-Stage Lung Cancer

EP04.01. True Abnormal Cells in Normal Cases Detected by the PneuVision Test for Early-Stage Lung Cancer - PDF(Slides)

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PneuVision is a test that uses the Cell-CT device to analyze cells in three dimensions (3D) with high resolution. It can identify abnormal cells in the neoplastic categories of atypia through cancer. The cells are then further analyzed using VisionGate's digital pathology workstation, CellGazer. The test has shown high sensitivity and specificity, with sensitivity being adjustable based on the number of normal cells counted. The motivation behind developing PneuVision is to detect abnormal cells in lung cancer or pre-cancer conditions in patients.<br /><br />This study aims to assess the specificity of PneuVision, which refers to the ability of the test to correctly identify normal cells. The researchers analyzed cases of patients without lung diseases and compared them to cases with diseases such as COPD and emphysema. The results showed that abnormal cells were not found in normal cases, indicating the robustness of the Cell-CT classification and cytology processes. Abnormal cells were appropriately detected in patients with diseases, suggesting that the detection of abnormal cells in these cases is likely due to pre-cancer lesions.<br /><br />Overall, the PneuVision test demonstrates near-perfect specificity, as it accurately identifies abnormal cells in patients with lung diseases. This suggests that the test is reliable in distinguishing normal cells from abnormal ones. The study supports the hypothesis that the detection of abnormal cells in patients with lung diseases is primarily due to the presence of true abnormal cells from pre-cancer lesions. The findings of this research support the use of PneuVision as a screening and early detection tool for lung cancer.

Asset Subtitle

Michael Meyer

Meta Tag

Speaker Michael Meyer

Topic Screening & Early Detection: Biomarkers/Imaging Technology

Keywords

PneuVision

Cell-CT device

3D cell analysis

abnormal cells

neoplastic categories

VisionGate

CellGazer

sensitivity

specificity

lung cancer