Evidence map›Paper›PMID 29799849›Full record

Trial reportPloS one2018

ICG fluorescence imaging as a new tool for optimization of pathological evaluation in breast cancer tumors after neoadjuvant chemotherapy.

Isabelle Veys, Catalin-Florin Pop, Romain Barbieux, Michel Moreau, Danielle Noterman, Filip De Neubourg, Jean-Marie Nogaret, Gabriel Liberale, Denis Larsimont, Pierre Bourgeois

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 5 pooled it
0.9field-weighted citation impact, top 32% 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

27 citing papers in PubMed, 5 syntheses or guidelines pooled it, 39 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

10 authors at 1 institution in 1 country.

Isabelle VeysService of Surgery, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium.
Catalin-Florin PopService of Surgery, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium.ORCID 0000-0002-9791-4241
Romain BarbieuxService of Nuclear Medicine, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium.
Michel MoreauStatistics Department, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium.
Danielle NotermanService of Surgery, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium.
Filip De NeubourgService of Surgery, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium.
Jean-Marie NogaretService of Surgery, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium.
Gabriel LiberaleService of Surgery, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium.
Denis LarsimontDepartment of Pathology, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium.
Pierre BourgeoisService of Nuclear Medicine, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium.
Université Libre de Bruxelles · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResponse to neoadjuvant chemotherapy (NACT), particularly pathologic complete response (pCR), is an independent predictor of favorable clinical outcome in breast cancer (BC). The accuracy of residual disease measurement and reporting is of critical importance in treatment planning and prognosis for these patients. Currently, gross pathological evaluation of the residual tumor bed is the greatest determinant for accurate reporting of NACT response. Fluorescence imaging (FI) is a new technology that is being evaluated for use in the detection of tumors in different oncological conditions.

objectiveThe aim of this study was to evaluate whether indocyanine green fluorescence imaging (ICG-FI) is able to detect residual breast tumor tissue after NACT in breast surgical operative specimens.

methodsPatients who underwent NACT for BC and were admitted for breast surgery were selected for participation in this study. Free ICG (0.25 mg/kg) was injected intraoperatively. Tumor-to-background fluorescence ratio (TBFR) was calculated on ex vivo samples from the surgical specimen.

resultsOne hundred and seventy-two samples from nine breast surgical specimens were evaluated for their fluorescence intensity. Among them, 52 were malignant (30.2%) and 120 were benign (69.8%). The mean TBFR was 3.3 (SD 1.68) in malignant samples and 1.9 (SD 0.97) in benign samples (p = 0.0002). With a TBFR cut-off value of 1.3, the sensitivity, specificity, negative predictive value, false negative rate, and false positive rate of ICG-FI to predict residual tumoral disease in breast surgical samples post-NACT were 94.2%, 31.7%, 92.7%, 5.8%, and 68.3%, respectively. If we restricted our analysis to only patients who achieved pCR, the negative predictive value for ICG-FI was 100%.

conclusionsThese first observations indicate that ex vivo ICG-FI is sensitive but not sufficiently specific to discriminate between benign breast tissue and malignant residual tissue. Nevertheless, its negative predictive value seems sufficiently accurate to exclude the presence of residual breast tumor tissue on the operative specimen of patients treated by NACT, representing a potential tool to assist pathologists in the assessment of breast surgical specimens.

Indexed as

Neoadjuvant TherapyOptical ImagingAdultAgedBreast NeoplasmsFemaleHumansMastectomyMiddle AgedNeoplasm, Residual

Identifiers

PMID29799849
PMCPMC5969773
OpenAlexW2804148457

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.