Evidence map›Paper›PMID 33828972›Full record

ArticleFrontiers in oncology2021

Multispectral Imaging for Metallic Biopsy Marker Detection During MRI-Guided Breast Biopsy: A Feasibility Study for Clinical Translation.

Sarah Eskreis-Winkler, Katherine Simon, Melissa Reichman, Pascal Spincemaille, Thanh D Nguyen, Paul J Christos, Michele Drotman, Martin R Prince, Katja Pinker, Elizabeth J Sutton and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. 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, top 97% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

12 authors at 3 institutions in 1 country.

Sarah Eskreis-WinklerDepartment of Radiology, Weill Cornell Medicine, New York, NY, United States.
Katherine SimonDepartment of Radiology, Weill Cornell Medicine, New York, NY, United States.
Melissa ReichmanDepartment of Radiology, Weill Cornell Medicine, New York, NY, United States.
Pascal SpincemailleDepartment of Radiology, Weill Cornell Medicine, New York, NY, United States.
Thanh D NguyenDepartment of Radiology, Weill Cornell Medicine, New York, NY, United States.
Paul J ChristosDivision of Biostatistics and Epidemiology, Department of Healthcare Policy & Research, Weill Cornell Medicine, New York, NY, United States.
Michele DrotmanDepartment of Radiology, Weill Cornell Medicine, New York, NY, United States.
Martin R PrinceDepartment of Radiology, Weill Cornell Medicine, New York, NY, United States.
Katja PinkerDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Elizabeth J SuttonDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Elizabeth A MorrisDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Yi WangDepartment of Radiology, Weill Cornell Medicine, New York, NY, United States.
Weill Cornell Medicine · USMemorial Sloan Kettering Cancer Center · USCornell University · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

purposeTo assess the feasibility and diagnostic accuracy of multispectral MRI (MSI) in the detection and localization of biopsy markers during MRI-guided breast biopsy.

methodsThis prospective study included 20 patients undergoing MR-guided breast biopsy. In 10 patients (Group 1), MSI was acquired following tissue sampling and biopsy marker deployment. In the other 10 patients (Group 2), MSI was acquired following tissue sampling but before biopsy marker deployment (to simulate deployment failure). All patients received post-procedure mammograms. Group 1 and Group 2 designations, in combination with the post-procedure mammogram, served as the reference standard. The diagnostic performance of MSI for biopsy marker identification was independently evaluated by two readers using two-spectral-bin MR and one-spectral-bin MR. The κ statistic was used to assess inter-rater agreement for biopsy marker identification.

resultsThe sensitivity, specificity, and accuracy of biopsy marker detection for readers 1 and 2 using 2-bin MSI were 90.0% (9/10) and 90.0% (9/10), 100.0% (10/10) and 100.0% (10/10), 95.0% (19/20) and 95.0% (19/20); and using 1-bin MSI were 70.0% (7/10) and 80.0% (8/10), 100.0% (8/8) and 100.0% (10/10), 85.0% (17/20) and 90.0% (18/20). Positive predictive value was 100% for both readers for all numbers of bins. Inter-rater agreement was excellent: κ was 1.0 for 2-bin MSI and 0.81 for 1-bin MSI.

conclusionMSI is a feasible, diagnostically accurate technique for identifying metallic biopsy markers during MRI-guided breast biopsy and may eliminate the need for a post-procedure mammogram.

Indexed as

biopsy markerbreast magnetic resonance imaging (MRI)magnetic resonance imaging (MRI)-guided breast biopsymammographymultispectral imaging

Identifiers

PMID33828972
PMCPMC8020905
OpenAlexW3137520314

What OpenQuestion holds

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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.