Evidence map›Paper›PMID 41422242›Full record

ArticleJournal of translational medicine2025

Diffuse reflectance spectroscopy for enhanced diagnostic precision in breast cancer.

Lianne Feenstra, Marcos Da Silva Guimaraes, Caroline A Drukker, Frederieke van Duijnhoven, Behdad Dashtbozorg, Theo J M Ruers

Abstract read
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Lianne FeenstraImage-Guided Surgery, Department of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands. l.feenstra@nki.nl.ORCID 0009-0008-7731-1487
Marcos Da Silva GuimaraesDepartment of Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
Caroline A DrukkerImage-Guided Surgery, Department of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
Frederieke van DuijnhovenImage-Guided Surgery, Department of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
Behdad DashtbozorgImage-Guided Surgery, Department of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
Theo J M RuersImage-Guided Surgery, Department of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.

Funding

KWF Kankerbestrijding 13443
6 · The paper itself

Abstract

purposeVacuum-assisted breast biopsy (VABB), widely used for diagnosing breast cancer, is prone to sampling errors that may necessitate repeat procedures and delay treatment. Optically guided VABB using Diffuse Reflectance Spectroscopy (DRS) may help address this limitation.

methodsTo this end, an optical introducer (a cut-out 9-gauge hollow tube) was developed and equipped with optical fibers. The tube slides over a standard VABB needle, enabling tis- sue measurements near the biopsy aperture. Ex vivo DRS measurements were performed on lumpectomy specimens from 90 patients using this tube, yielding over 500 measurement loca- tions. Tissue labels were derived through deformable image registration of measurement sites with annotated histology, and label extraction was optimized for larger fiber distances. Machine learning classifiers were trained on the spectral data.

resultsEnsemble models achieved up to 94% sensitivity at a 20% tumor threshold and maintained high performance at lower thresholds.

conclusionThese findings demonstrate that DRS enables real-time tissue characterization at large fiber distances and may improve biopsy precision. In vivo studies are needed to validate performance and support the integration of DRS into routine VABB diagnostic workflows.

Indexed as

Breast NeoplasmsSpectrum AnalysisBiopsyFemaleHumansMachine LearningVacuumBreast cancer diagnosisDiffuse reflectance spectroscopyOptical guidanceVacuum-assisted breast biopsy

Identifiers

PMID41422242
PMCPMC12903632

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LicenceCC BY-NC-ND
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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.