ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2026
Incorporating sentinel chain involvement pattern to predict non-sentinel lymph nodes status in breast cancer after neoadjuvant chemotherapy.
Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07391514 (Deep Learning-Based Intraoperative Dual-tracer Video Analysis of Sentinel Lymph Node Mapping for Metastasis Prediction in cN0 Papillary Thyroid Carcinoma), which is not on this map. Cited by 1 paper.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Deep Learning-Based Intraoperative Dual-tracer Video Analysis of Sentinel Lymph Node Mapping for Metastasis Prediction in cN0 Papillary Thyroid Carcinoma: A Prospective Cohort Study
Who cites it
1 citing paper in PubMed.
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
purposeUp to 60% of breast cancer (BC) patients with positive sentinel lymph nodes (SLNs) after neoadjuvant chemotherapy (NAC) had no metastatic non-sentinel lymph node (non-SLN). We aimed to establish a model incorporating sentinel chain involvement pattern to predict the non-SLN status.
methodsSLNs were ranked in the order of fluorescent intensity, black staining degree, and lymphatic drainage to form a sentinel chain, which included three involvement patterns: sequential pattern (metastases are found in SLNs ranking ahead), skip pattern (metastases do not relate to the order of SLNs), and all involved pattern. The relationship between sentinel chain involvement pattern and non-SLN metastasis was explored.
resultsOf the 316 patients analyzed, 98.6% (71/72) of patients with all involved pattern, 58.9% (66/112) with skip pattern, and 13.6% (18/132) with sequential pattern had non-SLN metastases. The non-SLN metastasis rate in sequential pattern was significantly lower than that in the other two patterns (OR
conclusionThe model demonstrated satisfactory performance in predicting non-SLN metastasis in BC patients with positive SLNs after NAC and had potential to select patients with low risk of non-SLNs metastasis who could avoid ALND.
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