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Prognostic and predictive value of the newly proposed grading system of invasive pulmonary adenocarcinoma in Chinese patients: a retrospective multicohort study.
Hou L, Wang T, Chen D, She Y, Deng J, Yang M, Zhang Y, Zhao M, Zhong Y, Ma M, Zhao G, Chen Y, Xie D, Zhu Y, Chen Q, Wu C, Chen C; Multi-omics Classifier for Pulmonary Nodules (MISSION) Collaborative Group. Hou L, et al. Mod Pathol. 2022 Jun;35(6):749-756. doi: 10.1038/s41379-021-00994-5. Epub 2022 Jan 10. Mod Pathol. 2022. PMID: 35013526 Free article.
Lung cancer with PET/CT-defined occult nodal metastasis yields favourable prognosis and benefits from adjuvant therapy: a multicentre study.
Deng J, Zhong Y, Wang T, Yang M, Ma M, Song Y, She Y, Chen C; MultiomIcs claSSIfier for pulmOnary Nodules (MISSION) Collaborative Group. Deng J, et al. Among authors: song y. Eur J Nucl Med Mol Imaging. 2022 Jun;49(7):2414-2424. doi: 10.1007/s00259-022-05690-3. Epub 2022 Jan 20. Eur J Nucl Med Mol Imaging. 2022. PMID: 35048154
PET/CT-based deep learning grading signature to optimize surgical decisions for clinical stage I invasive lung adenocarcinoma and biologic basis under its prediction: a multicenter study.
Zhong Y, Cai C, Chen T, Gui H, Chen C, Deng J, Yang M, Yu B, Song Y, Wang T, Chen Y, Shi H, Xie D, Chen C, She Y. Zhong Y, et al. Among authors: song y. Eur J Nucl Med Mol Imaging. 2024 Jan;51(2):521-534. doi: 10.1007/s00259-023-06434-7. Epub 2023 Sep 19. Eur J Nucl Med Mol Imaging. 2024. PMID: 37725128
Integrated multiomics signatures to optimize the accurate diagnosis of lung cancer.
Zhao M, Xue G, He B, Deng J, Wang T, Zhong Y, Li S, Wang Y, He Y, Chen T, Zhang J, Yan Z, Hu X, Guo L, Qu W, Song Y, Yang M, Zhao G, Yu B, Ma M, Liu L, Sun X, She Y, Xie D, Zhao D, Chen C. Zhao M, et al. Among authors: song y. Nat Commun. 2025 Jan 2;16(1):84. doi: 10.1038/s41467-024-55594-z. Nat Commun. 2025. PMID: 39747216 Free PMC article.
38,555 results
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