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This work was supported by grants from the Ministry of Science and Technology, Taiwan (Grant Numbers MOST 111-2221-E-002-070 and 111-2811-E-002-004-MY2) and by the National Taiwan University Hospital, Taipei, Taiwan (Grant Number NTUH111-S0199).
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This study was approved by the Institutional Review Board of the National Taiwan University Hospital (Approval number: 202207035RIND) and National Taiwan University Hospital Hsin-Chu Branch (Approval Number: 107-033-E).
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Lin, MW., Chen, LW., Yang, SM. et al. ASO Visual Abstract: CT-Based Deep Learning Model for Spread Through Air Spaces Prediction in Ground-Glass Predominant Lung Adenocarcinoma. Ann Surg Oncol 31, 1597–1598 (2024). https://doi.org/10.1245/s10434-023-14670-2
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DOI: https://doi.org/10.1245/s10434-023-14670-2