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Post-Imaging Pulmonary Nodule Mathematical Prediction Models: Are They Clinically Relevant?
OBJECTIVES: Post-imaging mathematical prediction models (MPMs) provide guidance for the management of solid pulmonary nodules by providing a lung cancer risk score from demographic and radiologists-indicated imaging characteristics. We hypothesized calibrating the MPM risk-score threshold to a local...
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| Veröffentlicht in: | Eur Radiol |
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| Hauptverfasser: | , , , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6717521/ https://ncbi.nlm.nih.gov/pubmed/30937590 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-019-06168-x |
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