Improved preoperative risk stratification in endometrial carcinoma patients: external validation of the ENDORISK Bayesian network model in a large population-based case series

被引：0

作者：

Marcel Grube

Casper Reijnen

Peter J. F. Lucas

Frieder Kommoss

Felix K. F. Kommoss

Sara Y. Brucker

Christina B. Walter

Ernst Oberlechner

Bernhard Krämer

Jürgen Andress

Felix Neis

Annette Staebler

Johanna M. A. Pijnenborg

Stefan Kommoss

机构：

[1] University Hospital Tuebingen,Department of Women’s Health

[2] Radboud University Medical Center,Department of Radiation Oncology

[3] University of Twente,Department of Data Science

[4] Im Medizin Campus Bodensee,Institute of Pathology

[5] University Hospital Heidelberg,Institute of Pathology

[6] University Hospital Tuebingen,Department of Pathology and Neuropathology

[7] Radboud University Medical Center,Department of Obstetrics and Gynaecology

来源：

Journal of Cancer Research and Clinical Oncology | 2023年 / 149卷

关键词：

Endometrial carcinoma; Bayesian network; Personalized medicine; Lymph nodes; Risk stratification;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

页码：3361 / 3369

页数：8

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[1] Improved preoperative risk stratification in endometrial carcinoma patients: external validation of the ENDORISK Bayesian network model in a large population-based case series
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Kommoss, Frieder
Kommoss, Felix K. F.
Brucker, Sara Y.
Walter, Christina B.
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Neis, Felix
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[2] IMPROVED PREOPERATIVE RISK STRATIFICATION IN ENDOMETRIAL CANCER: EXTERNAL VALIDATION OF THE ENDORISK NETWORK MODEL IN A POPULATION-BASED CASE SERIES
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Lucas, P. J.
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[10] External validation of the preoperative Karakiewicz nomogram in a large multicentre series of patients with renal cell carcinoma
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