Evidence map›Paper›PMID 29311005›Full record

ArticleUltrasound in medicine & biology2018

Preliminary Clinical Experience with a Combined Automated Breast Ultrasound and Digital Breast Tomosynthesis System.

Eric D Larson, Won-Mean Lee, Marilyn A Roubidoux, Mitchell M Goodsitt, Chris Lashbrook, Cynthia E Davis, Oliver D Kripfgans, Paul L Carson

Abstract read
In one paragraph

Article in Ultrasound in medicine & biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A Review of Breast Imaging for Timely Diagnosis of Disease.International journal of environmental research and public health · 2021
    Review
  6. 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

8 authors.

Eric D LarsonDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USA. Electronic address: ericlar@umich.edu.
Won-Mean LeeDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USA.
Marilyn A RoubidouxDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USA.
Mitchell M GoodsittDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USA.
Chris LashbrookDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USA.
Cynthia E DavisGE Global Research, Niskayuna, New York, USA.
Oliver D KripfgansDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USA.
Paul L CarsonDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USA.

Funding

Combined Digital X-Ray, Optical, and Ultrasound Breast ImagingR01CA091713 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CARSON, PAUL L · 2002 to 2012
$10.1M
NCI NIH HHS R01 CA091713
6 · The paper itself

Abstract

We analyzed the performance of a mammographically configured, automated breast ultrasound (McABUS) scanner combined with a digital breast tomosynthesis (DBT) system. The GE Invenia ultrasound system was modified for integration with GE DBT systems. Ultrasound and DBT imaging were performed in the same mammographic compression. Our small preliminary study included 13 cases, six of whom had contained invasive cancers. From analysis of these cases, current limitations and corresponding potential improvements of the system were determined. A registration analysis was performed to compare the ease of McABUS to DBT registration for this system with that of two systems designed previously. It was observed that in comparison to data from an earlier study, the McABUS-to-DBT registration alignment errors for both this system and a previously built combined system were smaller than those for a previously built standalone McABUS system.

Indexed as

AdultAgedAged, 80 and overBreastBreast NeoplasmsFemaleHumansMammographyMiddle AgedMultimodal ImagingReproducibility of ResultsSensitivity and SpecificityUltrasonography, Mammary3-D imagingAutomated breast ultrasoundCombined systemCompressionDigital breast tomosynthesisMammography

Identifiers

PMID29311005
PMCPMC5801205

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.