Dual-layer spectral detector computed tomography multiparameter machine learning model for prediction of invasive lung adenocarcinoma
The ML model based on DLCT parameters helps predict the invasiveness of GGNs and classifies the GGNs into different risk grades.
Authors
- Zhen Quan (ORCID: https://orcid.org/0000-0001-7782-3193)
- Feng Pan (ORCID: https://orcid.org/0000-0002-3403-0094)
- Peng Sun (ORCID: https://orcid.org/0000-0002-9697-4656)
- Tianhe Ye (ORCID: https://orcid.org/0000-0001-8101-3580)
- Zhaokai Wang (ORCID: https://orcid.org/0009-0007-4357-7802)
- Shen Gui (ORCID: https://orcid.org/0000-0003-4316-2352)
- Weiwei Liu (ORCID: https://orcid.org/0000-0003-4441-3950)
- Qianqian Fan
- Jiayu Wan
- Xue Lin (ORCID: https://orcid.org/0000-0003-4971-1375)
- Bo Yang (ORCID: https://orcid.org/0000-0003-1218-9771)
- Lian Yang
- X. Geng
Institutions
- Union Hospital (HK)
- Philips (China) (CN)
- Hubei Provincial Center for Disease Control and Prevention (CN)
- State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Translational Lung Cancer Research
- Published
- 2025-02-01
- DOI
- https://doi.org/10.21037/tlcr-24-822
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36