Evidence map›Paper›PMID 38361507›Full record

ArticleJournal of biomedical optics2024

Toward the use of diffuse reflection spectroscopy for intra-operative tissue discrimination during sarcoma surgery.

Freija Geldof, Yvonne M Schrage, Winan J van Houdt, Henricus J C M Sterenborg, Behdad Dashtbozorg, Theo J M 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
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 at 2 institutions in 2 countries.

Freija GeldofNetherlands Cancer Institute, Image-Guided Surgery, Department of Surgery, Amsterdam, The Netherlands.ORCID 0000-0002-3977-6864
Yvonne M SchrageNetherlands Cancer Institute, Image-Guided Surgery, Department of Surgery, Amsterdam, The Netherlands.
Winan J van HoudtNetherlands Cancer Institute, Image-Guided Surgery, Department of Surgery, Amsterdam, The Netherlands.
Henricus J C M SterenborgNetherlands Cancer Institute, Image-Guided Surgery, Department of Surgery, Amsterdam, The Netherlands.ORCID 0000-0002-6007-2992
Behdad DashtbozorgNetherlands Cancer Institute, Image-Guided Surgery, Department of Surgery, Amsterdam, The Netherlands.ORCID 0000-0003-4443-1614
Theo J M RuersNetherlands Cancer Institute, Image-Guided Surgery, Department of Surgery, Amsterdam, The Netherlands.
Guided Therapeutics (United States) · USUniversity of Twente · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Accurately distinguishing tumor tissue from normal tissue is crucial to achieve complete resections during soft tissue sarcoma (STS) surgery while preserving critical structures. Incomplete tumor resections are associated with an increased risk of local recurrence and worse patient prognosis. Aim: We evaluate the performance of diffuse reflectance spectroscopy (DRS) to distinguish tumor tissue from healthy tissue in STSs. Approach: DRS spectra were acquired from different tissue types on multiple locations in 20 freshly excised sarcoma specimens. A Results: Tumor tissue could be distinguished from healthy tissue with a classification accuracy of 0.90, sensitivity of 0.88, and specificity of 0.93 when well-differentiated liposarcomas were included. Excluding this subtype, the classification performance increased to an accuracy of 0.93, sensitivity of 0.94, and specificity of 0.93. The developed model showed a consistent performance over different histological subtypes and tumor locations. Conclusions: Automatic tissue discrimination using DRS enables real-time intra-operative guidance, contributing to more accurate STS resections.

Indexed as

SarcomaHumansPrognosisSpectrum Analysisdiffuse reflectance spectroscopymachine learningmargin assessmentsarcoma surgerytissue classification

Identifiers

PMID38361507
PMCPMC10869119
OpenAlexW4391839251

What OpenQuestion holds

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LicenceCC BY
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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.