Evidence map›Paper›PMID 34801874›Full record

ArticleEuropean journal of radiology2021

Prospective assessment of adjunctive ultrasound-guided diffuse optical tomography in women undergoing breast biopsy: Impact on BI-RADS assessments.

Steven P Poplack, Catherine A Young, Ian S Hagemann, Jingqin Luo, Cheryl R Herman, Kimberly Wiele, Shuying Li, Yifeng Zeng, Matthew F Covington, Quing Zhu

Open access · greenAbstract read
In one paragraph

Article in European journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Convolutional-transformer fusion of ultrasound and diffuse optical tomography for breast lesion classification.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2026
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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.

Steven P PoplackStanford School of Medicine, Center for Academic Medicine, Radiology + MC: 5659, 453 Quarry Road, Palo Alto, CA 94304, United States. Electronic address: spoplack@stanford.edu.
Catherine A YoungTexas A&M College of Medicine, Round Rock, TX, 78665, United States. Electronic address: Catherine.young@BSWHealth.org.
Ian S HagemannWashington University School of Medicine, 425 S. Euclid Ave., Campus Box 8118, St. Louis, MO 63110, United States. Electronic address: hagemani@wustl.edu.
Jingqin LuoBiostatistics Shared Resource, Siteman Cancer Center, Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, Saint Louis, MO 63110, United States. Electronic address: jingqinluo@wustl.edu.
Cheryl R HermanWashington University School of Medicine, 510 South Kingshighway Blvd., Campus Box 8131, Saint Louis, MO 63110, United States. Electronic address: hermanc@wustl.edu.
Kimberly WieleWashington University School of Medicine, 510 South Kingshighway Blvd., Campus Box 8131, Saint Louis, MO 63110, United States. Electronic address: wielek@wustl.edu.
Shuying LiDepartment of Biomedical Engineering, Washington University in St. Louis, 1 Brookings Dr, St. Louis, MO 63130, United States. Electronic address: lishuying@wustl.edu.
Yifeng ZengDepartment of Biomedical Engineering, Washington University in St. Louis, 1 Brookings Dr, St. Louis, MO 63130, United States. Electronic address: yifeng.zeng@wustl.edu.
Matthew F CovingtonCenter for Quantitative Cancer Imaging, Huntsman Cancer Institute, Department of Radiology and Imaging Sciences, University of Utah, 2000 Circle of Hope, Salt Lake City, UT 84112, United States. Electronic address: matthew.covington@hsc.utah.edu.
Quing ZhuWashington University in St. Louis, Department of Biomedical Engineering, Washington University in St. Louis, 1 Brookings Dr, Mail Box 1097, St. Louis, MO 63130, United States. Electronic address: zhu.q@wustl.edu.
Washington University in St. Louis · USStanford Medicine · USUniversity of Utah · US

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI AIMEE S JAMES · 2001 to 2026
$128.0M
Improving diagnostic US for reduction of benign breast biopsies using US-guided Optical TomographyR01CA228047 · NCI · WASHINGTON UNIVERSITY · PI POPLACK, STEVEN, ZHU, QUING · 2019 to 2023
$1.9M
NCI NIH HHS P30 CA091842NCI NIH HHS R01 CA228047
6 · The paper itself

Abstract

purposeTo assess the impact of adjunctive ultrasound guided diffuse optical tomography (US-guided DOT) on BI-RADS assessment in women undergoing US-guided breast biopsy.

methodThis prospective study enrolled women referred for US-guided breast biopsy between 3/5/2019 and 3/19/2020. Participants underwent US-guided DOT immediately before biopsy. The US-guided DOT acquisition generated average maximum total hemoglobin (HbT) spatial maps and quantitative HbT values. Four radiologists blinded to histopathology assessed conventional imaging (CI) to assign a CI BI-RADS assessment and then integrated DOT information in assigning a CI&DOT BI-RADS assessment. HbT was compared between benign and malignant lesions using an ANOVA test and Tukey's test. Benign biopsies were tabulated, deeming BI-RADS ≥ 4A as positive. Reader agreement was assessed.

resultsAmong 61 included women (mean age 48 years), biopsy demonstrated 15 (24.6%) malignant and 46 (75.4%) benign lesions. Mean HbT was 55.3 ± 22.6 µM in benign lesions versus 85.4 ± 15.6 µM in cancers (p < .001). HbT threshold of 78.5 µM achieved sensitivity 80% (12/15) and specificity 89% (41/46) for malignancy. Across readers and patients, 197 pairs of CI BI-RADS and CI&DOT BI-RADS assessments were assigned. Adjunctive US-guided DOT achieved a net decrease in 23.5% (31/132) of suspicious (CI BI-RADS ≥ 4A) assessments of benign lesions (34 correct downgrades and 3 incorrect upgrades). 38.3% (31/81) of 4A assessments were appropriately downgraded. No cancer was downgraded to a non-actionable assessment. Interreader agreement analysis demonstrated kappa = 0.48-0.53 for CI BI-RADS and kappa = 0.28-0.44 for CI&DOT BI-RADS.

conclusionsIntegration of US-guided DOT information achieved a 23.5% reduction in suspicious BI-RADS assessments for benign lesions. Larger studies are warranted, with attention to improved reader agreement.

Indexed as

Breast NeoplasmsTomography, OpticalBiopsyBreastFemaleHumansMiddle AgedProspective StudiesRetrospective StudiesUltrasonography, InterventionalUltrasonography, MammaryBreast cancerBreast ultrasoundDiffuse optical tomographyOptical imagingPredictive value

Identifiers

PMID34801874
PMCPMC9321946
OpenAlexW3212001854

What OpenQuestion holds

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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.