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Peer-reviewedCC BY-NC-NDQuantitative imaging in medicine and surgery

Nomogram models integrating multiregion radiomics, quantitative computed tomography, and clinical indicators for distinguishing connective tissue disease-associated interstitial lung disease from idiopathic pulmonary fibrosis and improving the prediction of gender-age-physiology stage

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Cite

BibTeXRIS
BibTeX
@article{anon2026nomogram,
  title = {{Nomogram models integrating multiregion radiomics, quantitative computed tomography, and clinical indicators for distinguishing connective tissue disease-associated interstitial lung disease from idiopathic pulmonary fibrosis and improving the prediction of gender-age-physiology stage}},
  journal = {Quantitative imaging in medicine and surgery},
  year = {2026},
  month = aug,
  url = {https://europepmc.org/article/PMC/PMC13654175},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - Nomogram models integrating multiregion radiomics, quantitative computed tomography, and clinical indicators for distinguishing connective tissue disease-associated interstitial lung disease from idiopathic pulmonary fibrosis and improving the prediction of gender-age-physiology stage
PY  - 2026
DA  - 2026/08/30
JO  - Quantitative imaging in medicine and surgery
UR  - https://europepmc.org/article/PMC/PMC13654175
SN  - 2223-4292
SN  - 2223-4306
ER  -