Evidence map›Paper›PMID 23267090›Full record

Trial reportProceedings of the National Academy of Sciences of the United States of America2013

Diagnostic power of diffuse reflectance spectroscopy for targeted detection of breast lesions with microcalcifications.

Jaqueline S Soares, Ishan Barman, Narahara Chari Dingari, Zoya Volynskaya, Wendy Liu, Nina Klein, Donna Plecha, Ramachandra R Dasari, Maryann Fitzmaurice

Open access · bronzeAbstract readClinical TrialComparative Study
In one paragraph

Trial report in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 54 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

9 authors at 3 institutions in 1 country.

Jaqueline S SoaresGeorge R Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Ishan Barman
Narahara Chari Dingari
Zoya Volynskaya
Wendy Liu
Nina Klein
Donna Plecha
Ramachandra R Dasari
Maryann Fitzmaurice
Massachusetts Institute of Technology · USCase Western Reserve University · USUniversity Hospitals Case Medical Center · US

Funding

WIDE-FIELD REFLECTION PHASE MICROSCOPYP41RR002594 · NCRR · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI PARK, YOUNGKYU · 1985 to 2011
$12.3M
Wide-Field Short-Wave Infrared (SWIR) multiphoton (MP) tissue imagingP41EB015871 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SO, PETER T. · 2012 to 2021
$11.3M
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 CA140288NCI NIH HHS R01-CA140288NCRR NIH HHS P41 RR002594NCRR NIH HHS P41-RR02594NIBIB NIH HHS P41 EB015871
6 · The paper itself

Abstract

Microcalcifications geographically target the location of abnormalities within the breast and are of critical importance in breast cancer diagnosis. However, despite stereotactic guidance, core needle biopsy fails to retrieve microcalcifications in up to 15% of patients. Here, we introduce an approach based on diffuse reflectance spectroscopy for detection of microcalcifications that focuses on variations in optical absorption stemming from the calcified clusters and the associated cross-linking molecules. In this study, diffuse reflectance spectra are acquired ex vivo from 203 sites in fresh biopsy tissue cores from 23 patients undergoing stereotactic breast needle biopsies. By correlating the spectra with the corresponding radiographic and histologic assessment, we have developed a support vector machine-derived decision algorithm, which shows high diagnostic power (positive predictive value and negative predictive value of 97% and 88%, respectively) for diagnosis of lesions with microcalcifications. We further show that these results are robust and not due to any spurious correlations. We attribute our findings to the presence of proteins (such as elastin), and desmosine and isodesmosine cross-linkers in the microcalcifications. It is important to note that the performance of the diffuse reflectance decision algorithm is comparable to one derived from the corresponding Raman spectra, and the considerably higher intensity of the reflectance signal enables the detection of the targeted lesions in a fraction of the spectral acquisition time. Our findings create a unique landscape for spectroscopic validation of breast core needle biopsy for detection of microcalcifications that can substantially improve the likelihood of an adequate, diagnostic biopsy in the first attempt.

Indexed as

AlgorithmsAdultAgedBiopsy, NeedleBreast NeoplasmsCalcinosisFemaleHumansMiddle AgedOhioPrincipal Component AnalysisSpectrum Analysis

Identifiers

PMID23267090
PMCPMC3545788
OpenAlexW2027247486

What OpenQuestion holds

Textmetadata
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.