Evidence map›Paper›PMID 26843131›Full record

ArticleJournal of surgical oncology2016

Identification of breast cancer margins using intraoperative near-infrared imaging.

Jane Keating, Julia Tchou, Olugbenga Okusanya, Carla Fisher, Rebecca Batiste, Jack Jiang, Gregory Kennedy, Shuming Nie, Sunil Singhal

Open access · greenAbstract readControlled Clinical Trial
In one paragraph

Article in Journal of surgical oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 5 pooled it
5.1field-weighted citation impact, top 4% 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

62 citing papers in PubMed, 5 syntheses or guidelines pooled it, 97 citations in OpenAlex.

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2 more citing papers are in PubMed but not listed here.

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

9 authors at 2 institutions in 1 country.

Jane KeatingDepartment of Thoracic Surgery, University of Pennsylvania, Perelman School of Medicine, 3400 Spruce Street, Philadelphia, Pennsylvania.
Julia TchouDepartment of Thoracic Surgery, University of Pennsylvania, Perelman School of Medicine, 3400 Spruce Street, Philadelphia, Pennsylvania.
Olugbenga OkusanyaDepartment of Thoracic Surgery, University of Pennsylvania, Perelman School of Medicine, 3400 Spruce Street, Philadelphia, Pennsylvania.
Carla FisherDepartment of Thoracic Surgery, University of Pennsylvania, Perelman School of Medicine, 3400 Spruce Street, Philadelphia, Pennsylvania.
Rebecca BatisteDepartment of Pathology, University of Pennsylvania, Perelman School of Medicine, 3400 Spruce Street, Philadelphia, Pennsylvania.
Jack JiangDepartment of Thoracic Surgery, University of Pennsylvania, Perelman School of Medicine, 3400 Spruce Street, Philadelphia, Pennsylvania.
Gregory KennedyDepartment of Thoracic Surgery, University of Pennsylvania, Perelman School of Medicine, 3400 Spruce Street, Philadelphia, Pennsylvania.
Shuming NieDepartments of Biomedical Engineering and Chemistry, Emory University, 1364 Clifton Road, Atlanta, Georgia.
Sunil SinghalDepartment of Thoracic Surgery, University of Pennsylvania, Perelman School of Medicine, 3400 Spruce Street, Philadelphia, Pennsylvania.
University of Pennsylvania · USEmory University · US

Funding

Contrast-Enhanced and Image-Guided Surgery of Lung CancerR01CA163256 · NCI · EMORY UNIVERSITY · PI JO, HANJOONG, SINGHAL, SUNIL · 2011 to 2015
$6.5M
NCI NIH HHS R01 CA163256
6 · The paper itself

Abstract

BACKGROUND AND

objectivesCurrent methods of intraoperative breast cancer margin assessment are labor intensive, not fully reliable, and time consuming; therefore novel strategies are necessary. We hypothesized that near infrared (NIR) intraoperative molecular imaging using systemic indocyanine green (ICG) would be helpful in discerning tumor margins.

methodsA mammary cancer cell line, 4T1, was used to establish tumors in mouse flanks (n = 60). Tumors were excised 24 hr after intravenous ICG. Assessment of residual tumor in the wound bed was performed using a combination of NIR imaging and traditional method (by visual inspection and palpation) versus traditional method alone. Next we performed a clinical trial to evaluate the role of NIR imaging after systemic ICG for the margin assessment of 12 patients undergoing breast-conserving surgery.

resultsTraditional margin assessment identified 30% of positive margins while NIR imaging identified 90% of positive margins. In our clinical trial, all tumors were detected by NIR imaging and there was fluorescent evidence of residual tumor in the tumor bed in 6 of the 12 patients. None of these patients had positive margins on pathology.

conclusionsSystemic ICG reliably accumulates in breast cancers in murine models as well as human breast cancer. While NIR imaging is helpful for detection of retained tumor margins in our animal model, intraoperative imaging for precise margin detection will need further refinement before clinical value can be obtained. J. Surg. Oncol. 2016;113:508-514. © 2016 Wiley Periodicals, Inc.

Indexed as

Coloring AgentsIndocyanine GreenMargins of ExcisionSpectroscopy, Near-InfraredAdultAgedAnimalsBreast NeoplasmsDisease Models, AnimalFemaleHumansIntraoperative CareMastectomy, SegmentalMiceMiddle AgedMolecular ImagingColoring AgentsIndocyanine Greenindocyanine greenmolecular imagingsolid tumor

Identifiers

PMID26843131
PMCPMC11156255
OpenAlexW2301049961

What OpenQuestion holds

Textmetadata
LicenceTDM
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.