| Autor: |
Xue‐fei Wang, Guo‐chao Zhang, Zhi‐chao Zuo, Qing‐li Zhu, Zhen‐zhen Liu, Sha‐fei Wu, Jia‐xin Li, Jian‐hua Du, Cun‐li Yan, Xiao‐ying Ma, Yue Shi, He Shi, Yi‐dong Zhou, Feng Mao, Yan Lin, Song‐jie Shen, Xiao‐hui Zhang, Qiang Sun |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Cancer Medicine, Vol 12, Iss 6, Pp 7039-7050 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2045-7634 |
| DOI: |
10.1002/cam4.5503 |
| Popis: |
Abstract Background or Purpose A practical noninvasive method to identify sentinel lymph node (SLN) status in breast cancer patients, who had a suspicious axillary lymph node (ALN) at ultrasound (US), but a negative clinical physical examination is needed. To predict SLN metastasis using a nomogram based on US and biopsy‐based pathological features, this retrospective study investigated associations between clinicopathological features and SLN status. Methods Patients treated with SLN dissection at four centers were apportioned to training, internal, or external validation sets (n = 472, 175, and 81). Lymph node ultrasound and pathological characteristics were compared using chi‐squared and t‐tests. A nomogram predicting SLN metastasis was constructed using multivariate logistic regression models. Results In the training set, statistically significant factors associated with SLN+ were as follows: histology type (p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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