Predicting of sentinel lymph node status in breast cancer patients with clinically negative nodes: A validation study
… difference is significant due to the non-representativeness of the sample used to train the
online web calculator compared … propose non-sentinel lymph node status predictive models by …
online web calculator compared … propose non-sentinel lymph node status predictive models by …
Artificial neural network models to predict nodal status in clinically node-negative breast cancer
L Dihge, M Ohlsson, P Edén, PO Bendahl, L Rydén - BMC cancer, 2019 - Springer
… models for no lymph node metastasis (N0), metastases in 1–3 … models for nodal prediction
were calculated for comparison. … risk of non-sentinel node involvement in breast malignancies […
were calculated for comparison. … risk of non-sentinel node involvement in breast malignancies […
… of convolutional neural network-based model to predict the risk of sentinel or non-sentinel lymph node metastasis in patients with breast cancer: a machine learning …
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 …
the … We developed two different predictive models for comparison: a clinical model, combining …
Nonsentinel axillary lymph node status in clinically node-negative early breast cancer after primary systemic therapy and positive sentinel lymph node: a predictive …
I Cebrecos, E Mension, I Alonso, H Castillo… - Annals of Surgical …, 2023 - Springer
… with positive nonsentinel axillary lymph nodes (non-SLN+) in cN0 EBC patients who are …
The ALND-predict continuous and dichotomic models were compared using the Akaike …
The ALND-predict continuous and dichotomic models were compared using the Akaike …
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 …
those for the MSKCC nomogram in this same cohort.15, 16 Due to deficiency of the standard …
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
… of metastasis in non-sentinel lymph nodes (NSLNs) can be calculated using nomograms. In
this study, we developed an individualized model … This study compared the performance of …
this study, we developed an individualized model … This study compared the performance of …
Development of a prediction model based on LASSO regression to evaluate the risk of non-sentinel lymph node metastasis in Chinese breast cancer patients with 1–2 …
L Meng, T Zheng, Y Wang, Z Li, Q Xiao, J He, J Tan - Scientific Reports, 2021 - nature.com
… prediction model to evaluate the risk of non-sentinel lymph node (NSLN) metastasis in Chinese
breast cancer patients with 1–… Compared with the triple negative breast cancer patients, …
breast cancer patients with 1–… Compared with the triple negative breast cancer patients, …
MRI-based radiomics nomogram: prediction of axillary non-sentinel lymph node metastasis in patients with sentinel lymph node-positive breast cancer
Y Qiu, X Zhang, Z Wu, S Wu, Z Yang, D Wang… - Frontiers in …, 2022 - frontiersin.org
… of MRI-clinical-radiomics nomogram appeared to perform the best in training and also
validation and in comparison with other models, the most robust variables selected by each CV …
validation and in comparison with other models, the most robust variables selected by each CV …
[HTML][HTML] Predictors of non-sentinel lymph node metastasis in clinical early stage (cT1-2N0) breast cancer patients with 1-2 metastatic sentinel lymph nodes
… to determine the risk factors that caused non-sentinel lymph nodes (nonSLNs) metastasis …
Unlike the literature data, where nonSLNM was higher in the TN patients when compared to …
Unlike the literature data, where nonSLNM was higher in the TN patients when compared to …
Deep learning radiomics of ultrasonography: Identifying the risk of axillary non-sentinel lymph node involvement in primary breast cancer
… model. After sequential activation of the convolution and pooling layers, the DLR model
predicted the lymph node … Then a comparison of the Clinical model, the DLR model, and the DLR …
predicted the lymph node … Then a comparison of the Clinical model, the DLR model, and the DLR …