Evidence map›Paper›PMID 29188372›Full record

ArticleEuropean radiology2018

Efficacy of ultrasound-guided core needle biopsy in cervical lymphadenopathy: A retrospective study of 6,695 cases.

Feng Han, Min Xu, Ting Xie, Jian-Wei Wang, Qing-Guang Lin, Zhi-Xing Guo, Wei Zheng, Jing Han, Xi Lin, Ru-Hai Zou and 2 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 83 citations in OpenAlex.

  1. Article
  2. Article
  3. Differentiation of Benign and Malignant Cervical Lymph Nodes Using a Multi-Modal Ultrasound-Based Machine Learning Model With SHAP Interpretability.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2026
    Review
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  7. Percutaneous Ultrasound-Guided Biopsy for Sampling Neck Lesions.JAMA otolaryngology-- head & neck surgery · 2025
    Article
  8. Diagnostic Performance of Ultrasound in Neck Node NI-RADS Category 2.AJNR. American journal of neuroradiology · 2025
    Article
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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

12 authors at 3 institutions in 1 country.

Feng HanDepartment of Ultrasound, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong Province, People's Republic of China.
Min XuDepartment of Ultrasound, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong Province, People's Republic of China.
Ting XieDepartment of Dermatology, Guangdong Hospital of Traditional Chinese Medicine, Guangzhou, 510120, Guangdong Province, People's Republic of China.
Jian-Wei WangDepartment of Ultrasound, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong Province, People's Republic of China.
Qing-Guang LinDepartment of Ultrasound, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong Province, People's Republic of China.
Zhi-Xing GuoDepartment of Ultrasound, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong Province, People's Republic of China.
Wei ZhengDepartment of Ultrasound, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong Province, People's Republic of China.
Jing HanDepartment of Ultrasound, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong Province, People's Republic of China.
Xi LinDepartment of Ultrasound, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong Province, People's Republic of China.
Ru-Hai ZouDepartment of Ultrasound, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong Province, People's Republic of China.
Jian-Hua ZhouDepartment of Ultrasound, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong Province, People's Republic of China.
An-Hua LiDepartment of Ultrasound, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong Province, People's Republic of China. liah@sysucc.org.cn.
Sun Yat-sen University · CNSun Yat-sen University Cancer Center · CNGuangdong Provincial Hospital of Traditional Chinese Medicine · CN

Funding

Natural Science Foundation of Guangdong Province 2015A030310323
6 · The paper itself

Abstract

objectivesTo determine the diagnostic yield of ultrasound-guided core needle biopsy (US-CNB) in cervical lymphadenopathy and identify the factors influencing the diagnostic accuracy of US-CNB.

methodsWe retrospectively reviewed the records of 6,603 patients with cervical lymphadenopathy who underwent 6695 US-CNB procedures between 2004 and 2017.

resultsAdequate specimens were obtained in 92.19 % (6,172/6,695) of cases. Most lymph nodes (67.65 %) were malignant (metastatic carcinoma 4,131; lymphoma 398). The overall accuracy of US-CNB for differentiating benign from malignant lesions was 91.70 % (6,139/6,695). Among biopsies in which adequate material was obtained, the sensitivity, specificity and accuracy of US-CNB were 99.70 %, 100 % and 99.46 %, respectively. The success or failure of US-CNB for the diagnosis of lymphadenopathy was significantly correlated with node size, nature (malignant vs. benign), and location as well as penetration depth, but not with needle size (p = 0.665), number of core tissues obtained (p = 0.324), or history of malignancy (p = 0.060). There were no major procedure-related complications.

conclusionsUS-CNB is a safe and effective method of diagnosing cervical lymphadenopathy, and our findings may help optimise the sampling procedure by maximising its diagnostic accuracy and preserving its minimally invasive nature. KEY POINTS: • US-CNB is useful for the diagnosis of cervical lymphadenopathy. • US-CNB is safe to perform on lymph nodes located near vital structures. • Larger, malignant, level IV lymph nodes yield sufficient tissue samples more easily.

Indexed as

AdolescentAdultAgedAged, 80 and overBiopsy, Large-Core NeedleChildChild, PreschoolDiagnosis, DifferentialFemaleHead and Neck NeoplasmsHumansImage-Guided BiopsyLymphadenopathyLymphatic MetastasisLymph NodesMaleCore needle biopsyEfficacyLymph nodeLymphomaUltrasound

Identifiers

PMID29188372
OpenAlexW2768950958

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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.