ArticleBritish journal of cancer2013
Accuracy of a nomogram for prediction of lymph-node metastasis detected with conventional histopathology and ultrastaging in endometrial cancer.
Article in British journal of cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.
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Who cites it
8 citing papers in PubMed, 3 syntheses or guidelines pooled it, 26 citations in OpenAlex.
- The value of machine learning in preoperative identification of lymph node metastasis status in endometrial cancer: a systematic review and meta-analysis.Frontiers in oncology · 2023Pooled it
- Operative and Oncological Outcomes Comparing Sentinel Node Mapping and Systematic Lymphadenectomy in Endometrial Cancer Staging: Meta-Analysis With Trial Sequential Analysis.Frontiers in oncology · 2020Pooled it
- Predictive models for lymph node metastasis in endometrial cancer: A systematic review and bibliometric analysis.Women's health (London, England)Pooled it
- Competing risk nomogram predicting cancer-specific mortality for endometrial cancer patients treated with hysterectomy.Cancer medicine · 2021Article
- Review
- An Externally Validated Nomogram for Predicting Lymph Node Metastasis of Presumed Stage I and II Endometrial Cancer.Frontiers in oncology · 2019Article
- Article
- Are preoperative histology and MRI useful for classification of endometrial cancer risk?BMC cancer · 2016Article
Corrections and comments
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Authors and funding
14 authors at 13 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWe developed a nomogram based on five clinical and pathological characteristics to predict lymph-node (LN) metastasis with a high concordance probability in endometrial cancer. Sentinel LN (SLN) biopsy has been suggested as a compromise between systematic lymphadenectomy and no dissection in patients with low-risk endometrial cancer.
methodsPatients with stage I-II endometrial cancer had pelvic SLN and systematic pelvic-node dissection. All LNs were histopathologically examined, and the SLNs were examined by immunohistochemistry. We compared the accuracy of the nomogram at predicting LN detected with conventional histopathology (macrometastasis) and ultrastaging procedure using SLN (micrometastasis).
resultsThirty-eight of the 187 patients (20%) had pelvic LN metastases, 20 had macrometastases and 18 had micrometastases. For the prediction of macrometastases, the nomogram showed good discrimination, with an area under the receiver operating characteristic curve (AUC) of 0.76, and was well calibrated (average error =2.1%). For the prediction of micro- and macrometastases, the nomogram showed poorer discrimination, with an AUC of 0.67, and was less well calibrated (average error =10.9%).
conclusionOur nomogram is accurate at predicting LN macrometastases but less accurate at predicting micrometastases. Our results suggest that micrometastases are an 'intermediate state' between disease-free LN and macrometastasis.
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