A nomogram for predicting lymph node metastasis of presumed stage I and II endometrial cancer

Bendifallah, Sofiane; Genin, Anne Sophie; Naoura, Iptissem; Buffet, Nathalie Chabbert; Chapelon, Francoise Clavel; Haddad, Bassam; Luton, Dominique; Daraı̈, Émile; Rouzier, Roman; Koskas, Martin

doi:10.1016/j.ajog.2012.06.080

Cited by 63 publications

(49 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Patient selection was detailed in a previous study. 3 A total of 18,294 patients with histologically proven EC who underwent at least hysterectomy and extensive lymphadenectomy (910 regional LNs removed) were selected.…”

Section: Methodsmentioning

confidence: 99%

“…Patient characteristics have been reported previously. 3 Four hundred ninety-nine patients from a multicentric database were used for validation of the models. Patient characteristics are summarized in Table 1.…”

Section: Models Developmentmentioning

confidence: 99%

“…2 We previously developed a clinical and pathological variableYbased LN metastatic prediction model. 3 This model was built by using data from 18,294 patients who underwent hysterectomy and lymphadenectomy, removing at least 10 LNs extracted from the Surveillance, Epidemiology, and End Results (SEER) database. This score was subsequently evaluated on 3 sets of independent cases from different institutions and proved to be rather accurate.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Direct Comparison of Logistic Regression and Recursive Partitioning to Predict Lymph Node Metastasis in Endometrial Cancer

Koskas

Luton

Graesslin

et al. 2015

Int J Gynecol Cancer

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Models Developmentmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Direct Comparison of Logistic Regression and Recursive Partitioning to Predict Lymph Node Metastasis in Endometrial Cancer

Koskas

Luton

Graesslin

et al. 2015

Int J Gynecol Cancer

Self Cite

View full text Add to dashboard Cite

show abstract

“…Several authors have proposed different scores in order to predict LN metastasis [45][46][47][48][49][50][51][52][53] (table 2).…”

Section: Scores To Predict Ln Metastasismentioning

confidence: 99%

Staging for endometrial cancer: The controversy around lymphadenectomy – Can this be resolved?

Koskas¹,

Rouzier²,

Amant³

2015

Best Practice & Research Clinical Obstetrics & Gynaecol

Self Cite

View full text Add to dashboard Cite

Endometrial cancer remains the most common malignancy of the female genital tract. Lymph node metastasis is one of the most important prognostic factors and stratification into pelvic lymph node invasion (stage IIIC1) and para-aortic lymph node invasion (stage IIIC2) improved the predictive value of the 2009 FIGO classification.Radiological examination such as magnetic resonance imaging and positron emission tomography-computed tomography do not have good enough sensitivity to avoid lymphadenectomy for the assessment of lymph node invasion. Prediction scores are becoming more and more valuable to exclude lymph node metastasis in low risk groups and biomarkers could help to identify patients with high risk lymph node metastatic probability.The therapeutic role of lymph node dissection remains debated. Several endpoints can be considered to evaluate the opportunity of lymphadenectomy in endometrial cancer.Firstly, we compare survival according to the realization, the extent and the numbers of nodes removed during lymphadenectomy. Secondly, we assess the opportunity of lymphadenectomy in order to tailor adjuvant treatment modalities. Thirdly, we analyze the surgical complication rate after pelvic lymphadenectomy.

show abstract

“…Notwithstanding, in the article of Bendifallah et al, 4 the authors suggested that primary tumor characteristics between patients with lymph node micrometastases and with macrometastases are significantly different. By applying a probability nomogram, they argue that the frequency of micrometastases seems to occur earlier and in tumors with lower oncological aggressiveness, suggesting that micrometastasis could represent an ''intermediate state'' between disease-free lymph node and macrometastasis.…”

mentioning

confidence: 98%

Regarding: “Pathologic Ultrastaging Improves Micrometastasis Detection in Sentinel Lymph Nodes During Endometrial Cancer Staging”

Buda¹,

Guerra²,

Signorelli³

2014

Int J Gynecol Cancer

View full text Add to dashboard Cite

A nomogram for predicting lymph node metastasis of presumed stage I and II endometrial cancer

Cited by 63 publications

References 23 publications

Direct Comparison of Logistic Regression and Recursive Partitioning to Predict Lymph Node Metastasis in Endometrial Cancer

Direct Comparison of Logistic Regression and Recursive Partitioning to Predict Lymph Node Metastasis in Endometrial Cancer

Staging for endometrial cancer: The controversy around lymphadenectomy – Can this be resolved?

Regarding: “Pathologic Ultrastaging Improves Micrometastasis Detection in Sentinel Lymph Nodes During Endometrial Cancer Staging”

Contact Info

Product

Resources

About