Evidence map›Paper›PMID 28327582›Full record

ArticleScientific reports2017

Real-time sentinel lymph node biopsy guidance using combined ultrasound, photoacoustic, fluorescence imaging: in vivo proof-of-principle and validation with nodal obstruction.

Jeeun Kang, Jin Ho Chang, Sun Mi Kim, Hak Jong Lee, Haemin Kim, Brian C Wilson, Tai-Kyong Song

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. 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, 63 citations in OpenAlex.

  1. Article
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  5. Advanced Image-Guidance and Surgical-Navigation Techniques for Real-Time Visualized Surgery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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  10. Precision Surgery Guided by Intraoperative Molecular Imaging.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    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

7 authors at 3 institutions in 2 countries.

Jeeun KangDepartment of Electronic Engineering, Sogang University, Seoul, 04107, South Korea.
Jin Ho ChangDepartment of Electronic Engineering, Sogang University, Seoul, 04107, South Korea.
Sun Mi KimDepartment of Radiology, Seoul National University of Bundang Hospital, Kyeonggi-do, 13620, South Korea.
Hak Jong LeeDepartment of Radiology, Seoul National University of Bundang Hospital, Kyeonggi-do, 13620, South Korea.
Haemin KimDepartment of Biomedical Engineering, Sogang University, Seoul, 04107, South Korea.
Brian C WilsonPrincess Margaret Cancer Centre, University Health Network, M5G 1L7, Canada.
Tai-Kyong SongDepartment of Electronic Engineering, Sogang University, Seoul, 04107, South Korea.
Sogang University · KRSeoul National University Bundang Hospital · KRUniversity Health Network · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precise sentinel lymph node (SLN) identification is crucial not only for accurate diagnosis of micro-metastases at an early stage of cancer progression but also for reducing the number of SLN biopsies (SLNB) to minimize their severe side effects. Furthermore, it is desirable that an SLNB guidance should be as safe as possible in routine clinical use. Although there are currently various SLNB guidance methods for pre-operative or intra-operative assessment, none are ideal. We propose a real-time SLNB guidance method using contrast-enhanced tri-modal images (i.e., ultrasound, photoacoustic, and fluorescence) acquired by a recently developed hand-held tri-modal probe. The major advantage of tri-modal imaging is demonstrated here through an in vivo study of the technically-difficult case of nodal obstruction that frequently leads to false-negative results in patients. The results in a tumor model in rabbits and normal controls showed that tri-modal imaging is capable of clearly identifying obstructed SLNs and of indicating their metastatic involvement. Based on these findings, we propose an SLNB protocol to help surgeons take full advantage of the complementary information obtained from tri-modal imaging, including for pre-operative localization, intra-operative biopsy guidance and post-operative analysis.

Indexed as

Optical ImagingSentinel Lymph Node BiopsyUltrasonographyAnimalsHumansLymphatic MetastasisLymph NodesMultimodal ImagingNeoplasmsPerioperative PeriodPractice Guidelines as TopicRabbitsWorkflow

Identifiers

PMID28327582
PMCPMC5361205
OpenAlexW2601550887

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.