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Models to predict outcomes after primary debulking surgery: Independent validation of models to predict suboptimal cytoreduction and gross residual disease
OBJECTIVE: Treatment planning requires accurate estimation of surgical complexity (SC) and residual disease (RD) at primary debulking surgery (PDS) for advanced ovarian cancer (OC). We sought to independently validate two published computed tomography (CT) prediction models. METHODS: We included sta...
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| I publikationen: | Gynecol Oncol |
|---|---|
| Huvudupphovsmän: | , , , , , , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2019
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7418823/ https://ncbi.nlm.nih.gov/pubmed/31000471 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ygyno.2019.04.011 |
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