[HTML][HTML] … and validation of convolutional neural network-based model to predict the risk of sentinel or non-sentinel lymph node metastasis in patients with breast cancer …

M Chen, C Kong, G Lin, W Chen, X Guo, Y Chen… - …, 2023 - thelancet.com
… (AI)-related models for the prediction of lymph node metastasis in breast cancer. However,
the … We developed two different predictive models for comparison: a clinical model, combining …

[HTML][HTML] Predicting of sentinel lymph node status in breast cancer patients with clinically negative nodes: A validation study

A Fanizzi, D Pomarico, A Paradiso, S Bove, S Diotaiuti… - Cancers, 2021 - mdpi.com
… to train the online web calculator compared to that of our study. … a prediction model for sentinel
lymph node metastasis using … As showed by our experimental results, it is not particularly …

A prospective validation cohort study of a prediction model on non-sentinel lymph node involvement in early breast cancer

E Qiao, X Yu, L Zhou, C Wang, C Yang, Y Yu… - Annals of Surgical …, 2020 - Springer
… For further evaluation of the prediction effect, we also compared our model results with
those for the MSKCC nomogram in this same cohort.15, 16 Due to deficiency of the standard …

[HTML][HTML] Development and validation of a nomogram for prediction of lymph node metastasis in early-stage breast cancer

H Li, L Tang, Y Chen, L Mao, H Xie, S Wang… - Gland Surgery, 2021 - ncbi.nlm.nih.gov
breast cancer patients who did not have nodal metastasesCompared with other researches,
the present study was the … as a risk factor in the prediction model, yet our study identified …

[HTML][HTML] External validation of a prognostic model based on total tumor load of sentinel lymph node for early breast cancer patients

A Piñero-Madrona, F Ripoll-Orts… - Breast Cancer Research …, 2020 - Springer
validation of a previously developed model for the prediction … patients with breast cancer,
who had not received systemic … the training and validation sets were compared by graphical …

[HTML][HTML] Establishment and verification of a bagged-trees-based model for prediction of sentinel lymph node metastasis for early breast cancer patients

C Liu, Z Zhao, X Gu, L Sun, G Chen, H Zhang… - Frontiers in …, 2019 - frontiersin.org
… used in previous models, our model can be used to predict the risk of sentinelcomparison
of nine tools predicting non-sentinel lymph node status in sentinel node positive breast cancer

Prediction of lymph node metastasis in breast cancer by gene expression and clinicopathological models: development and validation within a population-based …

L Dihge, J Vallon-Christersson, C Hegardt… - Clinical Cancer …, 2019 - AACR
differences in the proportion of lymph node metastasis across AIMS-PAM50 molecular
subtypes within the development (P <0.001) and validationlymph node status did not predict a …

[HTML][HTML] … and validation of nomograms for predicting axillary non-SLN metastases in breast cancer patients with 1–2 positive sentinel lymph node macro-metastases: A …

Y Yu, Z Wang, Z Wei, B Yu, P Shen, Y Yan, W You - BMC cancer, 2021 - Springer
… There was no significant difference in the incidence of axillary non-SLN … Using the regression
coefficients of multivariate logistic regression models to weight each feature in our models, …

[HTML][HTML] Application of the machine-learning model to improve prediction of non-sentinel lymph node metastasis status among breast cancer patients

Q Wu, L Deng, Y Jiang, H Zhang - Frontiers in Surgery, 2022 - frontiersin.org
… Therefore, in comparison with other previous studies, the validation cohort in this study
had a higher AUC value for the fewer variables. The continuous predictors were categorized …

[HTML][HTML] Nonsentinel axillary lymph node status in clinically node-negative early breast cancer after primary systemic therapy and positive sentinel lymph node: a …

I Cebrecos, E Mension, I Alonso, H Castillo… - Annals of Surgical …, 2023 - Springer
validate the predictors in artificial testing cohorts after 5000 resamplings. The ALND-predict
continuous and dichotomic models were comparedno validation cohort for the ALND-predict