An explainable machine learning model combining intratumoral and peritumoral computed tomography radiomics with maximum standard uptake value for predicting International Association for the Study of Lung Cancer grading and prognosis in stage I pure-solid lung adenocarcinoma.

Wang H, Lan J, Chen Y, Xiao Z, Tang K, Chen S, Chen F, Xie J, Xin E, Zheng X, Shao L, Cao G, Zheng X, Wang Z

Open source

DOI
10.21037/jtd-2026-1888
Published
2026 Oct 30
Container
Journal of thoracic disease
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.21037/jtd-2026-1888,
  title = {An explainable machine learning model combining intratumoral and peritumoral computed tomography radiomics with maximum standard uptake value for predicting International Association for the Study of Lung Cancer grading and prognosis in stage I pure-solid lung adenocarcinoma.},
  author = {Wang H and Lan J and Chen Y and Xiao Z and Tang K and Chen S and Chen F and Xie J and Xin E and Zheng X and Shao L and Cao G and Zheng X and Wang Z},
  year = {2026},
  journal = {Journal of thoracic disease},
  doi = {10.21037/jtd-2026-1888},
  url = {https://doi.org/10.21037/jtd-2026-1888}
}

RIS

TY  - JOUR
TI  - An explainable machine learning model combining intratumoral and peritumoral computed tomography radiomics with maximum standard uptake value for predicting International Association for the Study of Lung Cancer grading and prognosis in stage I pure-solid lung adenocarcinoma.
AU  - Wang H
AU  - Lan J
AU  - Chen Y
AU  - Xiao Z
AU  - Tang K
AU  - Chen S
AU  - Chen F
AU  - Xie J
AU  - Xin E
AU  - Zheng X
AU  - Shao L
AU  - Cao G
AU  - Zheng X
AU  - Wang Z
PY  - 2026
JO  - Journal of thoracic disease
DO  - 10.21037/jtd-2026-1888
UR  - https://doi.org/10.21037/jtd-2026-1888
ER  - 

APA

H, W., J, L., Y, C., Z, X., K, T., S, C., F, C., J, X., E, X., X, Z., L, S., G, C., X, Z., & Z, W. (2026). An explainable machine learning model combining intratumoral and peritumoral computed tomography radiomics with maximum standard uptake value for predicting International Association for the Study of Lung Cancer grading and prognosis in stage I pure-solid lung adenocarcinoma.. Journal of thoracic disease. https://doi.org/10.21037/jtd-2026-1888

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