Abstract
the group with noted ventilation defects had a lower FEV1 (55%) than the group with no noted defects (68%) (p Z 0.07). Conclusions: Validation of 4DCT ventilation maps with clinically relevant metrics is essential. Our data demonstrate good agreement between PFTs and ventilation data, indicating that 4DCT ventilation can reliably demonstrate oncologic-based obstructive lung disease. The 4DCT-ventilation imaging enables exciting opportunities to assess pre-treatment lung function and create functional avoidance radiation therapy plans using the patient’s simulation data. The current work presents an important step for the integration of 4DCT-ventilation into clinical practice. Author Disclosure: Y. Vinogradskiy: None. L. Schubert: None. D. Brennan: None. R. Castillo: E. Research Grant; NIH. E. Castillo: E. Research Grant; NIH. T. Guerrero: E. Research Grant; NIH. M. Miften: None. B. Kavanagh: None. M.K. Mary: None.
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