Evidence map›Paper›PMID 22025985›Full record

ArticleBiomedical optics express2011

Raman spectroscopy: a real-time tool for identifying microcalcifications during stereotactic breast core needle biopsies.

A Saha, I Barman, N C Dingari, S McGee, Z Volynskaya, L H Galindo, W Liu, D Plecha, N Klein, R R Dasari and 1 more

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
6.4field-weighted citation impact, top 4% 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

22 citing papers in PubMed, 58 citations in OpenAlex.

  1. Diagnostic power of diffuse reflectance spectroscopy for targeted detection of breast lesions with microcalcifications.Proceedings of the National Academy of Sciences of the United States of America · 2013
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  10. Label-Free Raman Imaging to Monitor Breast Tumor Signatures.Technology in cancer research & treatment · 2017
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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

11 authors at 2 institutions in 1 country.

A Saha
I Barman
N C Dingari
S McGee
Z Volynskaya
L H Galindo
W Liu
D Plecha
N Klein
R R Dasari
M Fitzmaurice
Case Western Reserve University · USMassachusetts Institute of Technology · US

Funding

WIDE-FIELD REFLECTION PHASE MICROSCOPYP41RR002594 · NCRR · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI PARK, YOUNGKYU · 1985 to 2011
$12.3M
Raman Spectroscopy for Guidance of Stereotactic Breast Biopsies for MicrocalcificR01CA140288 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI FITZMAURICE, MARYANN · 2009 to 2011
$1.0M
NCI NIH HHS R01 CA140288NCRR NIH HHS P41 RR002594
6 · The paper itself

Abstract

Microcalcifications are an early mammographic sign of breast cancer and a target for stereotactic breast needle biopsy. We present here a Raman spectroscopic tool for detecting microcalcifications in breast tissue based on their chemical composition. We collected ex vivo Raman spectra from 159 tissue sites in fresh stereotactic breast needle biopsies from 33 patients, including 54 normal sites, 75 lesions with microcalcifications and 30 lesions without microcalcifications. Application of our Raman technique resulted in a positive predictive value of 97% for detecting microcalcifications. This study shows that Raman spectroscopy has the potential to detect microcalcifications during stereotactic breast core biopsies and provide real-time feedback to radiologists, thus reducing non-diagnostic and false negative biopsies.

Indexed as

(170.1610), Clinical applications(170.6935), Tissue characterization(300.6450) Spectroscopy, Raman

Identifiers

PMID22025985
PMCPMC3191446
OpenAlexW2086349901

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.