Peritumoral radiomics increases the efficiency of classification of pure ground-glass lung nodules: a multicenter study
The radiomic features we extracted from the GTV and PTV of pGGNs could effectively be used to differentiate grade-1 and grade-2 tumors. In particular, the radiomic features from the PTV increased the efficiency of the diagnostic model, with GTV + 10 mm PTV exhibiting the highest efficacy.
Authors
- Wei Emma Zhang (ORCID: https://orcid.org/0000-0002-0406-5974)
- Ying Zeng (ORCID: https://orcid.org/0000-0003-2795-4616)
- Shanyue Lin
- Tianzhi Zhou
- Xiao Zhou
- Yingjun zhou
- Haibo Liu (ORCID: https://orcid.org/0000-0002-4213-2883)
Institutions
- Guilin Medical University (CN)
- Liuzhou Maternal and Child Health Hospital (CN)
- Xiangyang Central Hospital (CN)
- Fourth Affiliated Hospital of Guangxi Medical University (CN)
- Xiangtan University (CN)
Publication Details
- Journal
- Journal of Cardiothoracic Surgery
- Published
- 2024-08-30
- DOI
- https://doi.org/10.1186/s13019-024-03008-y
- Citations
- 3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.21