Name
Title | ||
|---|---|---|
Prediction of axillary lymph node metastasis in primary breast cancer patients using a decision tree-based model. |
Abstract | ||
|---|---|---|
The aim of this study was to develop a new data-mining model to predict axillary lymph node (AxLN) metastasis in primary breast cancer. To achieve this, we used a decision tree-based prediction method-the alternating decision tree (ADTree).Clinical datasets for primary breast cancer patients who underwent sentinel lymph node biopsy or AxLN dissection without prior treatment were collected from three institutes (institute A, n = 148; institute B, n = 143; institute C, n = 174) and were used for variable selection, model training and external validation, respectively. The models were evaluated using area under the receiver operating characteristics (ROC) curve analysis to discriminate node-positive patients from node-negative patients.The ADTree model selected 15 of 24 clinicopathological variables in the variable selection dataset. The resulting area under the ROC curve values were 0.770 [95% confidence interval (CI), 0.689-0.850] for the model training dataset and 0.772 (95% CI: 0.689-0.856) for the validation dataset, demonstrating high accuracy and generalization ability of the model. The bootstrap value of the validation dataset was 0.768 (95% CI: 0.763-0.774).Our prediction model showed high accuracy for predicting nodal metastasis in patients with breast cancer using commonly recorded clinical variables. Therefore, our model might help oncologists in the decision-making process for primary breast cancer patients before starting treatment. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1186/1472-6947-12-54 | BMC Med. Inf. & Decision Making |
Keywords | Field | DocType |
decision trees,roc curve,health informatics,data mining | Oncology,Metastasis,Decision tree,Breast cancer,Internal medicine,Health informatics,Medicine,Lymph node,Alternating decision tree | Journal |
Volume | Issue | ISSN |
12 | 1 | 1472-6947 |
Citations | PageRank | References |
7 | 0.59 | 3 |
Authors | ||
12 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Masahiro Takada | 1 | 7 | 0.93 |
| Masahiro Sugimoto | 2 | 40 | 4.88 |
| Y Naito | 3 | 41 | 4.38 |
| Hyeong-Gon Moon | 4 | 7 | 0.59 |
| Wonshik Han | 5 | 7 | 0.93 |
| Dong-Young Noh | 6 | 8 | 1.32 |
| Masahide Kondo | 7 | 7 | 0.93 |
| Katsumasa Kuroi | 8 | 7 | 0.59 |
| Hironobu Sasano | 9 | 7 | 0.59 |
| Takashi Inamoto | 10 | 7 | 0.59 |
| Masaru Tomita | 11 | 1009 | 180.20 |
| Masakazu Toi | 12 | 10 | 1.32 |