Evidence map›Paper›PMID 33881571›Full record

ArticleEuropean radiology2021

Ultrasound lymphatic imaging for the diagnosis of metastatic central lymph nodes in papillary thyroid cancer.

Zhenhua Liu, Ronghui Wang, Jianqiao Zhou, Yuanyi Zheng, Yijie Dong, Ting Luo, Xing Wang, Weiwei Zhan

Abstract read
PubMed Publisher
In one paragraph

Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  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
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

8 authors at 2 institutions in 1 country.

Zhenhua LiuDepartment of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 2nd Ruijin Road 197, Shanghai, 200025, People's Republic of China.
Ronghui WangDepartment of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 2nd Ruijin Road 197, Shanghai, 200025, People's Republic of China.
Jianqiao ZhouDepartment of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 2nd Ruijin Road 197, Shanghai, 200025, People's Republic of China. zhousu30@126.com.
Yuanyi ZhengDepartment of Ultrasound, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Yishan Road 600, Shanghai, 200233, People's Republic of China.
Yijie DongDepartment of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 2nd Ruijin Road 197, Shanghai, 200025, People's Republic of China.
Ting LuoDepartment of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 2nd Ruijin Road 197, Shanghai, 200025, People's Republic of China.
Xing WangDepartment of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 2nd Ruijin Road 197, Shanghai, 200025, People's Republic of China.
Weiwei ZhanDepartment of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 2nd Ruijin Road 197, Shanghai, 200025, People's Republic of China. shanghairuijinus@163.com.
Ruijin Hospital · CNShanghai Jiao Tong University · CN

Funding

Doctoral Innovation Foundation of Shanghai Jiao Tong University School of Medicine BXJ201916National Natural Science Foundation of China 81671688National Natural Science Foundation of China 81801699Shanghai Municipal Health and Family Planning Commission 20174Y0069
6 · The paper itself

Abstract

objectivesUp to 40% of papillary thyroid cancer (PTC) patients have lymph node metastasis, a condition that implies persistent, recurrent, or progressive disease. However, the American Joint Committee on Cancer Manual states that there is no reliable examination for adequate lymph node staging. Therefore, our aim is to develop a lymphatic imaging technique using ultrasonography to address this challenge.

methodsWe consecutively enrolled PTC patients who underwent ultrasound (US) lymphatic imaging via the peritumoral injection of contrast media. Identification of the sentinel lymph nodes and the targeted sentinel lymph nodes was separately based on the lymphatic drainage pathway and the enhancement patterns. Every identified targeted node was assigned a score, according to the features on conventional US and enhancement patterns, and was referred for ultrasound-guided fine-needle aspiration. Cytological and histopathologic results represented the statuses of the targeted lymph nodes and overall central lymph nodes, respectively, which were applied to evaluate the diagnostic performance of US lymphatic imaging.

resultsIn total, 100 PTC patients were included. On the basis of the cytological results, the sensitivity (97.1%, 95% confidence interval [CI]: 84.7-99.9%) of detecting positive targeted nodes by US lymphatic imaging significantly increased by 45.5% at a threshold of 4 or higher (p = 0.0001), without loss of specificity (p = 1.0000). The surgical results showed that the metastatic degree was positively correlated with an increase in the score (τ: 0.671, p < 0.001).

conclusionUltrasound lymphatic imaging has a high diagnostic performance, and its corresponding scoring system facilitates grading of the nodal burden in the central compartment. KEY POINTS: • Ultrasound neck lymphatic imaging is an effective contrast-enhanced ultrasound (CEUS) technique (applied after the peritumoral injection of contrast media) for identifying sentinel lymph nodes in the central compartment by tracing the imaged afferent lymphatic vessel. • Lack of enhancement or perfusion defects is the typical enhancement pattern for recognizing the involved central lymph nodes. • Ultrasound lymphatic imaging for identification of positive central lymph nodes before surgery may effectively avoid complications associated with the surgical sentinel node procedure.

Indexed as

Lymphatic VesselsThyroid NeoplasmsHumansLymph NodesSentinel Lymph Node BiopsyThyroid Cancer, PapillaryUltrasonographyContrast mediaSentinel lymph nodeThyroid cancerUltrasonography

Identifiers

PMID33881571
OpenAlexW3156432583

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.