Diagnostic Accuracy of Clinical Biomarkers for Preoperative Prediction of Lymph Node Metastasis in Endometrial Carcinoma: A Systematic Review and Meta-Analysis.
Casper ReijnenJoanna IntHoutLeon F A G MassugerFleur StrobbeHeidi V N Küsters-VandeveldeIngfrid S HaldorsenMarc P L M SnijdersJohanna M A PijnenborgPublished in: The oncologist (2019)
Routine lymphadenectomy in clinical early-stage endometrial carcinoma does not improve outcome and is associated with 15%-20% surgery-related morbidity, underlining the need for improved preoperative risk stratification. New molecular classification systems are emerging but have not yet been evaluated for the prediction of lymph node metastasis. This article provides a robust overview of diagnostic performance of all clinical biomarkers recommended by international guidelines. Based on these, at least measurement of cancer antigen 125 serum level, assessment of thrombocytosis, and imaging focused on lymphadenopathy should complement current preoperative risk stratification in order to better stratify these patients by risk.
Keyphrases
- lymph node metastasis
- papillary thyroid
- early stage
- squamous cell carcinoma
- patients undergoing
- ejection fraction
- end stage renal disease
- minimally invasive
- machine learning
- deep learning
- clinical practice
- high resolution
- radiation therapy
- atrial fibrillation
- prognostic factors
- mass spectrometry
- photodynamic therapy
- coronary artery disease
- acute coronary syndrome
- single molecule
- rectal cancer
- clinical evaluation
- childhood cancer