2012
DOI: 10.1016/j.suronc.2011.12.001
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Multicentre validation of different predictive tools of non-sentinel lymph node involvement in breast cancer

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Cited by 28 publications
(13 citation statements)
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“…However, Wo et al [22] demonstrated that even patients with small tumours (<0.5 cm in diameter) could have several metastatic lymph nodes and that these patients have a higher breast cancer-specific mortality than those with larger tumours. As expected, our results confirmed that malignant axillary lymph nodes, following US-guided FNA, correlated with large tumour size (>20 mm) [23], [24]; nevertheless, 31% of the tumours were classified as pT1 (≤20 mm), and of these, 3 out of 27 (11.5%) were less than 1 cm. Moreover, in the same subgroup of pT1 cases with malignant US-guided FNA, 9 patients out to 27 showed 1 to 3 metastatic lymph nodes and the 18 cases had more than 3 metastatic lymph nodes.…”
Section: Discussionsupporting
confidence: 89%
“…However, Wo et al [22] demonstrated that even patients with small tumours (<0.5 cm in diameter) could have several metastatic lymph nodes and that these patients have a higher breast cancer-specific mortality than those with larger tumours. As expected, our results confirmed that malignant axillary lymph nodes, following US-guided FNA, correlated with large tumour size (>20 mm) [23], [24]; nevertheless, 31% of the tumours were classified as pT1 (≤20 mm), and of these, 3 out of 27 (11.5%) were less than 1 cm. Moreover, in the same subgroup of pT1 cases with malignant US-guided FNA, 9 patients out to 27 showed 1 to 3 metastatic lymph nodes and the 18 cases had more than 3 metastatic lymph nodes.…”
Section: Discussionsupporting
confidence: 89%
“…Factors that are included in many of the nomograms are: tumor size, tumor differentiations, lymphovascular invasion, number of positive SLND, number of negative SLND, size of metastasis in SLND, type of SLND detection, type of histological examination of SLND, number of CK19 determined with OSNA, Ki 67 and others (49)(50)(51)(52)(53)(54)(55)(56)(57)(58)(59)(60) (49)(50)(51)(52)(53)(54)(55)(56)(57)(58)(59)(60). Some of them test some nomograms in their patients and suggest which is the best for prediction.…”
Section: Resultsmentioning
confidence: 99%
“…[13][14][15][16][17][18] In a multicentre validation study of different predictive systems Cserni et al showed that there are significant differences between various centres in the distribution of variables as used in the models and the proportion of cases classified as having a low risk for non-SLN metastasis. 18 Therefore, the generalization and applicability of the different predictive systems is limited. This is most likely due to variations in pathology settings and differences in baseline population characteristics.…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…This is most likely due to variations in pathology settings and differences in baseline population characteristics. 13,14,18 Furthermore, there is also an unacceptably high variability in individual predictions when using the different predictive systems for the individual patient. 19 Besides that, we would like to highlight some of the following practical issues and pitfalls that are encountered in using predictive systems, and that are partly responsible for the insufficient performance in different patient populations.…”
Section: Accepted Manuscriptmentioning
confidence: 99%
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