Impact of Photon-counting Detector Computed Tomography on a Quantitative Interstitial Lung Disease Machine Learning Model
There is strong agreement between conventional and PCD-CT QML ILD features except for HC. PCD-CT improved HC but decreased GG extent correlation with PFT. Therefore, even though most quantitative features were not impacted by the newer PCD-CT technology, model adjustment is necessary.
Authors
- Chi Wan Koo (ORCID: https://orcid.org/0000-0001-7964-8755)
- Sean J. Huls (ORCID: https://orcid.org/0000-0001-8741-5425)
- Lifeng Yu (ORCID: https://orcid.org/0000-0002-4267-1326)
- Francis Baffour (ORCID: https://orcid.org/0000-0001-8005-4823)
- Cynthia H. McCollough (ORCID: https://orcid.org/0000-0002-5346-332X)
- Brian J. Bartholmai (ORCID: https://orcid.org/0000-0001-7834-6579)
- Zhongxing Zhou (ORCID: https://orcid.org/0000-0003-1935-2762)
Institutions
- Mayo Clinic in Arizona (US)
Publication Details
- Journal
- Journal of Thoracic Imaging
- Published
- 2024-10-24
- DOI
- https://doi.org/10.1097/rti.0000000000000807
- Citations
- 4
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.74