A radiologic-laparoscopic model to predict suboptimal (or complete and optimal) debulking surgery in advanced ovarian cancer: a pilot study
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INVESTIGACIONMetadatos
Título
A radiologic-laparoscopic model to predict suboptimal (or complete and optimal) debulking surgery in advanced ovarian cancer: a pilot studyAutoría
Fecha de publicación
2019-05Editor
DoveCita bibliográfica
LLUECA, Antoni, et al. A radiologic-laparoscopic model to predict suboptimal (or complete and optimal) debulking surgery in advanced ovarian cancer: a pilot study. International Journal of Women's Health, 2019, 11: 333.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6554528/Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Introduction: Medical models assist clinicians in making diagnostic and prognostic decisions in complex situations. In advanced ovarian cancer, medical models could help prevent unnecessary exploratory surgery. We ... [+]
Introduction: Medical models assist clinicians in making diagnostic and prognostic decisions in complex situations. In advanced ovarian cancer, medical models could help prevent unnecessary exploratory surgery. We designed two models to predict suboptimal or complete and optimal cytoreductive surgery in patients with advanced ovarian cancer.
Methods: We collected clinical, pathological, surgical, and residual tumor data from 110 patients with advanced ovarian cancer. Computed tomographic and laparoscopic data from these patients were used to determine peritoneal cancer index (PCI) and lesion size score. These data were then used to construct two-by-two contingency tables and our two predictive models. Each model included three risk score levels; the R4 model also included operative PCI, while the R3 model did not. Finally, we used the original patient data to validate the models (narrow validation).
Results: Our models predicted suboptimal or complete and optimal cytoreductive surgery with a sensitivity of 83% (R4 model) and 69% (R3 model). Our results also showed that PCI>20 was a major risk factor for unresectability.
Conclusion: Our medical models successfully predicted suboptimal or complete and optimal cytoreductive surgery in 110 patients with advanced ovarian cancer. Our models are easy to construct, based on readily available laboratory test data, simple to use clinically, and could reduce unnecessary exploratory surgery in this patient group. [-]
Proyecto de investigación
Medtronic University Chair for Training and Surgical Research, University Jaume I (UJI), Castellon, SpainDerechos de acceso
Copyright © 2019 Llueca et al.
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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- MED_Articles [662]
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