Evidence map›Paper›PMID 40745244›Full record

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.

Minting Liang, Teng Zhu, Na Huang, Liulu Zhang, Ciqiu Yang, Hongfei Gao, Xiaoqi Zhang, Peiyong Li, Minyi Cheng, Kun Wang

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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.

NCT07391514 completednot on this map

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

Typeobservational_patient_registrySponsorFirst Affiliated Hospital of Chongqing Medical UniversityRan2024 to 2024Enrolled131ConditionsPapillary Thyroid CarcinomaArmsIndocyanine green (ICG) sentinel lymph node mapping, Carbon nanoparticle (CNs) sentinel lymph node mapping, Dual-tracer (ICG combined with CNs) sentinel lymph node mapping
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Minting Liang *Shantou University Medical College, Shantou, 515041, Guangdong, China.
Teng Zhu *Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, Guangdong, China.
Na HuangDepartment of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, Guangdong, China.
Liulu ZhangDepartment of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, Guangdong, China.
Ciqiu YangDepartment of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, Guangdong, China.
Hongfei GaoDepartment of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, Guangdong, China.
Xiaoqi ZhangDepartment of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, Guangdong, China.
Peiyong LiDepartment of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, Guangdong, China.
Minyi ChengDepartment of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, Guangdong, China.
Kun WangDepartment of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, Guangdong, China. gzwangkun@126.com.ORCID http://orcid.org/0000-0001-9851-7080

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2022A1515012277Basic and Applied Basic Research Foundation of Guangdong Province 2023A1515010222Beijing Life Oasis Public Service Center cphcf-2022-058Beijing Medical Award Foundation YXJL-2020-0941-0758Beijing Science and Technology Innovation Medical Development Foundation KC2022-ZZ-0091-5Development Cancer for Medical Science and Technology National Health Commission of the People's Republic of China WKZX2023CX110002Guangzhou Science and Technology Project 202002030236High-level Hospital Construction Project of Guangdong Provincial People's Hospital DFJHBF202109Innovative Research Group Project of the National Natural Science Foundation of China 82171898Macao Science and Technology Development Fund 20210701181316106/AKPScientific research project of Guangdong Provincial Bureau of Traditional Chinese Medicine 20241003
6 · The paper itself

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.

Indexed as

Breast NeoplasmsNeoadjuvant TherapySentinel Lymph NodeAdultAgedChemotherapy, AdjuvantFemaleHumansLymphatic MetastasisLymph NodesMiddle AgedPrognosisRetrospective StudiesSentinel Lymph Node BiopsyBreast cancerLymph node excisionNeoadjuvant chemotherapyNomogramsSentinel lymph node

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.