ArticleJapanese journal of radiology2022
A preoperative nomogram for predicting the risk of sentinel lymph node metastasis in patients with T1-2N0 breast cancer.
Article in Japanese journal of radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Prediction of sentinel lymph node status in patients with early breast cancer using breast imaging as an alternative to surgical staging-a systematic review and meta-analysis.Systematic reviews · 2025Pooled it
- The Evolution and Clinical Impact of Deep Learning Technologies in Breast MRI.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025Review
- Integrating multimodal ultrasound imaging for improved radiomics sentinel lymph node assessment in breast cancer.Gland surgery · 2025Article
- New Insight for Axillary De-Escalation in Breast Cancer Surgery: "SoFT Study" Retrospective Analysis.Current oncology (Toronto, Ont.) · 2024Article
- New trend in artificial intelligence-based assistive technology for thoracic imaging.La Radiologia medica · 2023Review
- Application of the Machine-Learning Model to Improve Prediction of Non-Sentinel Lymph Node Metastasis Status Among Breast Cancer Patients.Frontiers in surgery · 2022Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
objectivesTo establish a preoperative nomogram based on the multimodal ultrasonographic features and biopsy results of primary lesion to predict the risk of sentinel lymph node metastasis (SLNM) in patients with T1-2N0 breast cancer.
methodsThis study included 114 patients with T1-2N0 breast cancer who underwent ultrasound-guided core needle biopsy and multimodal ultrasound (Gray scale, Elastography, and Contrast-enhanced ultrasound) preoperatively. The pathological results of SLN were obtained from sentinel lymph node biopsy. Factors associated with sentinel lymph node metastasis were studied.
resultsThe regression analysis identified the maximum diameter of tumor (p = 0.003), Doppler resistive index (p = 0.030), HER-2 status (p = 0.016) and the extended range of enhancement lesion (p = 0.010), which were used to establish a nomogram. The prediction model indicated that the value of area under the receiver-operating characteristic curve was 0.798. The calibration curve revealed that the nomogram possesses an excellent consistency between the predicted value and the actual value of SLNM (Hosmer-Lemeshow test: p = 0.436).
conclusionsThe preoperative nomogram can effectively guide clinicians in predicting SLNM of breast cancer, and assist management of breast cancer patients through intuitive risk values to develop personalized treatment strategies.
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