MoLPre: A Machine Learning Model to Predict Metastasis of cT1 Solid Lung Cancer
ABSTRACT Given that more than 20% of patients with cT1 solid NSCLC showed nodal or extrathoracic metastasis, early detection of metastasis is crucial and urgent for improving therapeutic planning and patients' risk stratification in clinical practice. This study collected clinicopathological va...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-04-01
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| Series: | Clinical and Translational Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1111/cts.70186 |
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