Evidence map›Paper›PMID 37009577›Full record

ArticleJournal of biomedical optics2023

Sandryne David, Trang Tran, Frédérick Dallaire, Guillaume Sheehy, Feryel Azzi, Dominique Trudel, Francine Tremblay, Atilla Omeroglu, Frédéric Leblond, Sarkis Meterissian

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical optics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
11.1field-weighted citation impact, top 2% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  14. Robot-assisted biopsy sampling for online Raman spectroscopy cancer confirmation in the operating room.International journal of computer assisted radiology and surgery · 2024
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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.

Sandryne DavidPolytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada.ORCID 0000-0002-9079-3854
Trang TranPolytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada.
Frédérick DallairePolytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada.
Guillaume SheehyPolytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada.ORCID 0000-0002-4721-6066
Feryel AzziCentre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Quebec, Canada.
Dominique TrudelCentre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Quebec, Canada.ORCID 0000-0001-9820-1772
Francine TremblayMcGill University Health Center, Department of Surgery, Montreal, Quebec, Canada.
Atilla OmerogluMcGill University Health Center, Department of Pathology, Montreal, Quebec, Canada.
Frédéric LeblondPolytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada.
Sarkis MeterissianMcGill University Health Center, Department of Surgery, Montreal, Quebec, Canada.
Polytechnique Montréal · CAMcGill University Health Centre · CACentre Hospitalier de l’Université de Montréal · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: As many as 60% of patients with early stage breast cancer undergo breast-conserving surgery. Of those, 20% to 35% need a second surgery because of incomplete resection of the lesions. A technology allowing Aim: Raman spectroscopy was used to measure the spectral fingerprint of normal breast and cancer tissue Approach: The system was used to interrogate specimens from 20 patients undergoing lumpectomy, mastectomy, or breast reduction surgery. This resulted in 238 Results: Raman spectroscopy combined with machine learning detected normal breast from ductal or lobular invasive cancer with a sensitivity of 93% and a specificity of 95%. This was achieved using a model based on only two spectral bands, including the peaks associated with C-C stretching of proteins around Conclusions: Detection of cancer on the margins of surgically resected breast specimen is feasible with Raman spectroscopy.

Indexed as

Breast NeoplasmsCarcinoma, Ductal, BreastFemaleHumansMastectomyMastectomy, SegmentalProteinsSpectrum Analysis, RamanProteinsbiochemistrybreast cancerbreast-conserving surgerymachine learningRaman spectroscopysupport vector machinestissue optics

Identifiers

PMID37009577
PMCPMC10062385
OpenAlexW4361270931

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.