Evidence map›Paper›PMID 27133694›Full record

Trial reportClinical imaging

Testing a dual-modality system that combines full-field digital mammography and automated breast ultrasound.

Christopher L Vaughan, Tania S Douglas, Qonita Said-Hartley, Roland V Baasch, James A Boonzaier, Brian C Goemans, John Harverson, Michael W Mingay, Shuaib Omar, Raphael V Smith and 2 more

Open access · greenAbstract readClinical TrialComparative Study
In one paragraph

Trial report in Clinical imaging. 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
1.2field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Detecting Breast Cancer with a Dual-Modality Device.Diagnostics (Basel, Switzerland) · 2017
    Article
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 2 institutions in 1 country.

Christopher L VaughanCapeRay Medical (Pty) Ltd, Suite 2, 51 Bell Crescent, Westlake Business Park, Western Cape 7945, South Africa; MRC/UCT Medical Imaging Research Unit, Faculty of Health Sciences, University of Cape Town, Observatory, Western Cape 7925, South Africa. Electronic address: kit@caperay.com.
Tania S DouglasCapeRay Medical (Pty) Ltd, Suite 2, 51 Bell Crescent, Westlake Business Park, Western Cape 7945, South Africa; MRC/UCT Medical Imaging Research Unit, Faculty of Health Sciences, University of Cape Town, Observatory, Western Cape 7925, South Africa.
Qonita Said-HartleyDepartment of Radiology, Groote Schuur Hospital, Observatory, Western Cape 7925, South Africa.
Roland V BaaschCapeRay Medical (Pty) Ltd, Suite 2, 51 Bell Crescent, Westlake Business Park, Western Cape 7945, South Africa.
James A BoonzaierCapeRay Medical (Pty) Ltd, Suite 2, 51 Bell Crescent, Westlake Business Park, Western Cape 7945, South Africa.
Brian C GoemansCapeRay Medical (Pty) Ltd, Suite 2, 51 Bell Crescent, Westlake Business Park, Western Cape 7945, South Africa.
John HarversonCapeRay Medical (Pty) Ltd, Suite 2, 51 Bell Crescent, Westlake Business Park, Western Cape 7945, South Africa.
Michael W MingayCapeRay Medical (Pty) Ltd, Suite 2, 51 Bell Crescent, Westlake Business Park, Western Cape 7945, South Africa.
Shuaib OmarCapeRay Medical (Pty) Ltd, Suite 2, 51 Bell Crescent, Westlake Business Park, Western Cape 7945, South Africa.
Raphael V SmithCapeRay Medical (Pty) Ltd, Suite 2, 51 Bell Crescent, Westlake Business Park, Western Cape 7945, South Africa.
Nielen C VenterCapeRay Medical (Pty) Ltd, Suite 2, 51 Bell Crescent, Westlake Business Park, Western Cape 7945, South Africa.
Heidi S WilsonCapeRay Medical (Pty) Ltd, Suite 2, 51 Bell Crescent, Westlake Business Park, Western Cape 7945, South Africa.
University of Cape Town · ZAGroote Schuur Hospital · ZA

Funding

Low dose digital X-rays for mammographic screeningR21CA101705 · NCI · UNIVERSITY OF CAPE TOWN · PI VAUGHAN, CHRISTOPHER L · 2005 to 2006
$235k
NCI NIH HHS R21 CA101705
6 · The paper itself

Abstract

purposeThe aim of this study was to test a novel dual-modality imaging system that combines full-field digital mammography (FFDM) and automated breast ultrasound (ABUS) in a single platform. Our Aceso system, named after the Greek goddess of healing, was specifically designed for the early detection of cancer in women with dense breast tissue. MATERIALS AND

methodsAceso was first tested using two industry standards: a Contrast Detail Mammography (CDMAM) phantom as endorsed by European Reference Organisation for Quality Assured Breast Screening and Diagnostic Services was used to assess the FFDM images; and the CIRS 040GSE ultrasound phantom was imaged to evaluate the quality of the ABUS images. In addition, 58 women participated in a clinical trial: 51 were healthy volunteers aged between 40 and 65, while 7 were patients referred by the breast clinic, 6 of whom had biopsy-proven breast cancer.

resultsThe CDMAM tests showed that the FFDM results were "acceptable" but fell short of "achievable" which was attributed to the low dose used. The ABUS images had good depth penetration (80 mm) and adequate axial resolution (0.5 mm), but the lateral resolution of 2 mm was judged to be too coarse. In a 42-year-old volunteer with extremely dense breast tissue, the ABUS modality detected a lesion (a benign cyst) that was mammographically occult in the FFDM image. For a 73-year-old patient with fatty breasts, a malignant lesion was successfully detected and co-registered in the FFDM and ABUS images. On average, each woman spent less than 11 min in the acquisition room.

conclusionsWhile there is room for improvement in the quality of both the FFDM and ABUS images, Aceso has demonstrated its ability to acquire clinically meaningful images for a range of women with varying breast densities and, therefore, has potential as a screening device.

Indexed as

AdultAgedBreastBreast NeoplasmsEquipment DesignFemaleHealthy VolunteersHumansMammographyMiddle AgedPhantoms, ImagingUltrasonography, MammaryABUSBreast cancerDense breastsDual-modality imagingFFDM

Identifiers

PMID27133694
PMCPMC4853655
OpenAlexW2186091650

What OpenQuestion holds

Textmetadata
LicenceTDM
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.