Evidence map›Paper›PMID 34026607›Full record

ArticleFrontiers in oncology2021

Real-Time

Zhaorui Wang, Xiaowei Yang, Jingjing Wang, Peng Liu, Yubo Pan, Chunguang Han, Jing Pei

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.7field-weighted citation impact, top 38% 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

12 citing papers in PubMed, 13 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Zhaorui WangDepartment of General Surgery, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Xiaowei YangDepartment of General Surgery, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Jingjing WangDepartment of General Surgery, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Peng LiuDepartment of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, China.
Yubo PanDepartment of General Surgery, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Chunguang HanDepartment of General Surgery, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Jing PeiDepartment of General Surgery, First Affiliated Hospital of Anhui Medical University, Hefei, China.
First Affiliated Hospital of Anhui Medical University · CNAnhui Medical University · CNUniversity of Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe naked-eye invisibility of indocyanine green fluorescence limits the application of near-infrared fluorescence imaging (NIR) systems for real-time navigation during sentinel lymph node biopsy (SLNB) in patients with breast cancer undergoing surgery. This study aims to evaluate the effectiveness and safety of a novel NIR system in visualizing indocyanine green fluorescence images in the surgical field and the application value of combined methylene blue (MB) and the novel NIR system in SLNB.

methodsSixty patients with clinical node-negative breast cancer received indocyanine green (ICG) and MB as tracers. Two NIR system instruments, namely, lymphatic fluorescence imaging system (LFIS) designed by the University of Science and Technology of China and vascular imager by Langfang Mingde Medical Biotechnology Co., Ltd. (Langfang vascular imager), were used as navigation assistance to locate sentinel lymph nodes (SLNs). Excising the lymph nodes developed by both MB and ICG by two NIR systems or palpably suspicious as SLNs and undergoing rapid pathological examination.

resultsBoth instruments exhibited 95% (57/60) success for real-time lymphatic fluorescent images. A total of 186 SLNs were identified, of which two were pathologically confirmed as lacking any lymph node tissue. SLN identification rate was 100% (184/184) for MB plus LFIS and 86.96% (160/184) for MB alone. The median number of SLNs identified by LFIS combined with MB was 3 (range of 1-8), which was significantly higher than that by MB alone at 2 (range 1-7) (P<0.05).

conclusionLFIS effectively detects SLNs in breast cancer, projects the fluorescence signals during surgery, and provides a continuous surgical navigation system without the need for a remote monitor. The ICG method navigated by combined LFIS and MB may be a promising alternative tracer for radioisotope in SLN mapping. CLINICAL

trial registrationThis clinical trial was registered with the China Clinical Trial Center, registration number ChiCTR2000039542.

Indexed as

breast cancerfalse negativeindocyanine greenreal-time in situ navigationsentinel (lymph) node biopsy

Identifiers

PMID34026607
PMCPMC8133435
OpenAlexW3159568042

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.