Evidence map›Paper›PMID 29931432›Full record

ReviewMolecular imaging and biology2019

Detection of Sentinel Lymph Nodes with Near-Infrared Imaging in Malignancies.

Huan-Cheng Zeng, Jia-Lin Hu, Jing-Wen Bai, Guo-Jun Zhang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular imaging and biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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

21 citing papers in PubMed.

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  12. Promise of hypoxia-targeted tracers in metastatic lymph node imaging.European journal of nuclear medicine and molecular imaging · 2022
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  14. Review
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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

4 authors.

Huan-Cheng ZengThe Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Jia-Lin HuChancheng Center Hospital of Foshan, Foshan, Guangdong, China.
Jing-Wen BaiXiang'an Hospital, Xiamen University, No. 2000, Xiang'an East Road, Xiamen, 361101, Fujian, China.
Guo-Jun ZhangChangJiang Scholar's Laboratory, Shantou University Medical College, Shantou, Guangdong, China. gjzhang@xah.xmu.edu.cn.ORCID http://orcid.org/0000-0001-5182-5887

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical molecular imaging, a highly sensitive and noninvasive technique which is simple to operate, inexpensive, and has the real-time capability, is increasingly being used in the diagnosis and treatment of carcinomas. The near-infrared fluorescence dye indocyanine green (ICG) is widely used in optical imaging for the dynamic detection of sentinel lymph nodes (SLNs) in real time improving the detection rate and accuracy. ICG has the advantages of low scattering in tissue absorbance, low auto-fluorescence, and high signal-to-background ratio. The detection rate of axillary sentinel lymph nodes biopsy (SLNB) in breast cancers with ICG was more than 95 %, the false-negative rate was lower than 10 %, and the average detected number ranged from 1.75 to 3.8. The combined use of ICG with nuclein or blue dye resulted in a lower false-negative rate. ICG is also being used for the sentinel node detection in other malignant cancers such as head and neck, gastrointestinal, and gynecological carcinomas. In this article, we provide an overview of numerous studies that used the near-infrared fluorescence imaging to detect the sentinel lymph nodes in breast carcinoma and other malignant cancers. It is expected that with improvements in the optical imaging systems together with the use of a combination of multiple dyes and verification in large clinical trials, optical molecular imaging will become an essential tool for SLN detection and image-guided precise resection.

Indexed as

Spectroscopy, Near-InfraredHumansIndocyanine GreenNeoplasmsSentinel Lymph NodeIndocyanine GreenIndocyanine greenMalignant cancersOptical molecular imagingSentinel lymph nodes

Identifiers

What OpenQuestion holds

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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.