Evidence map›Paper›PMID 38665316›Full record

ArticleJournal of biomedical optics2024

Margin assessment during breast conserving surgery using diffuse reflectance spectroscopy.

Dinusha Veluponnar, Lisanne L de Boer, Behdad Dashtbozorg, Lynn-Jade S Jong, Freija Geldof, Marcos Da Silva Guimaraes, Henricus J C M Sterenborg, Marie-Jeanne T F D Vrancken-Peeters, Frederieke van Duijnhoven, Theo Ruers

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical optics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 8 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 3 institutions in 1 country.

Dinusha VeluponnarNetherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Image-Guided Surgery, Amsterdam, The Netherlands.
Lisanne L de BoerNetherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Image-Guided Surgery, Amsterdam, The Netherlands.
Behdad DashtbozorgNetherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Image-Guided Surgery, Amsterdam, The Netherlands.ORCID 0000-0003-4443-1614
Lynn-Jade S JongNetherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Image-Guided Surgery, Amsterdam, The Netherlands.ORCID 0000-0001-8562-7598
Freija GeldofNetherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Image-Guided Surgery, Amsterdam, The Netherlands.ORCID 0000-0002-3977-6864
Marcos Da Silva GuimaraesNetherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Pathology, Amsterdam, The Netherlands.ORCID 0000-0002-9510-1028
Henricus J C M SterenborgAmsterdam University Medical Center, Department of Biomedical Engineering and Physics, Amsterdam, The Netherlands.ORCID 0000-0002-6007-2992
Marie-Jeanne T F D Vrancken-PeetersNetherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Image-Guided Surgery, Amsterdam, The Netherlands.
Frederieke van DuijnhovenNetherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Image-Guided Surgery, Amsterdam, The Netherlands.
Theo RuersNetherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Image-Guided Surgery, Amsterdam, The Netherlands.
The Netherlands Cancer Institute · NLAmsterdam University Medical Centers · NLNetherlands Cancer Institute-Antoni van Leeuwenhoek Hospital · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: During breast-conserving surgeries, it is essential to evaluate the resection margins (edges of breast specimen) to determine whether the tumor has been removed completely. In current surgical practice, there are no methods available to aid in accurate real-time margin evaluation. Aim: In this study, we investigated the diagnostic accuracy of diffuse reflectance spectroscopy (DRS) combined with tissue classification models in discriminating tumorous tissue from healthy tissue up to 2 mm in depth on the actual resection margin of Approach: We collected an extensive dataset of DRS measurements on Results: We achieved a Matthews correlation coefficient of 0.76, a sensitivity of 96.7% (95% CI 95.6% to 98.2%), a specificity of 90.6% (95% CI 86.3% to 97.9%) and an area under the curve of 0.98 by training the optimum model on a combination of Conclusions: DRS allows real-time margin assessment with a high sensitivity and specificity during breast-conserving surgeries.

Indexed as

BreastBreast NeoplasmsMargins of ExcisionMastectomy, SegmentalSpectrum AnalysisFemaleHumansSensitivity and Specificitybreast-conserving surgerydiffuse reflectance spectroscopyresection margin assessmenttissue classification

Identifiers

PMID38665316
PMCPMC11045169
OpenAlexW4395447681

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.