Evidence map›Paper›PMID 29107353›Full record

ReviewUltrasound in medicine & biology2018

Ultrasound Imaging Technologies for Breast Cancer Detection and Management: A Review.

Rongrong Guo, Guolan Lu, Binjie Qin, Baowei Fei

Open access · greenAbstract readReview
In one paragraph

Review 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 203 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
203citing papers in PubMed, 2 pooled it
19.9field-weighted citation impact, top 1% 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

203 citing papers in PubMed, 2 syntheses or guidelines pooled it, 515 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Flexible Dielectric Acoustic Resonator Patch for Tissue Regeneration.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
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  17. BMI and Breast Subcutaneous Fat: Potential Indicators for Ultrasound Diagnosis of Breast Cancer?Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2026
    Article
  18. Article
  19. Article
  20. Review

143 more citing papers are in PubMed but not listed here.

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

4 authors at 3 institutions in 2 countries.

Rongrong GuoDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA; Department of Ultrasound, Shanxi Provincial Cancer Hospital, Taiyuan, Shanxi, China.
Guolan LuThe Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, Georgia, USA.
Binjie QinSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Baowei FeiDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA; The Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, Georgia, USA; Department of Mathematics and Computer Science, Emory College of Emory University, Atlanta, Georgia, USA; Winship Cancer Institute of Emory University, Atlanta, Georgia, USA. Electronic address: bfei@emory.edu.
Georgia Institute of Technology · USShanghai Jiao Tong University · CNShanxi Provincial Cancer Hospital · CN

Funding

Image-guided Intravascular Robotic System for Mitral Valve Repair and ImplantsR01HL140325 · NHLBI · GEORGIA INSTITUTE OF TECHNOLOGY · PI DESAI, JAYDEV P., FEI, BAOWEI · 2018 to 2021
$3.0M
ACADEMIC-INDUSTRIAL PARTNERSHIP FOR TRANSLATION OF PET/TRUS GUIDED INTERVENTIONR01CA204254 · NCI · UNIVERSITY OF TEXAS DALLAS · PI FEI, BAOWEI · 2017 to 2021
$2.0M
Transcatheter Strategies for Leaflet Extension to Treat Mitral RegurgitationR01HL135145 · NHLBI · EMORY UNIVERSITY · PI PADALA, SAI MURALIDHAR · 2017 to 2020
$1.7M
MOLECULAR IMAGING DIRECTED, 3D ULTRASOUND-GUIDED, BIOPSY SYSTEMR01CA156775 · NCI · UNIVERSITY OF TEXAS DALLAS · PI FEI, BAOWEI · 2011 to 2016
$1.7M
Targeted fusion biopsy using anti-[18F]FACBC PET/CT and real-time 3D ultrasound gR21CA176684 · NCI · EMORY UNIVERSITY · PI FEI, BAOWEI, MASTER, VIRAJ · 2013 to 2014
$568k
NCI NIH HHS R01 CA156775NCI NIH HHS R01 CA204254NCI NIH HHS R21 CA176684NHLBI NIH HHS R01 HL135145NHLBI NIH HHS R01 HL140325
6 · The paper itself

Abstract

Ultrasound imaging is a commonly used modality for breast cancer detection and diagnosis. In this review, we summarize ultrasound imaging technologies and their clinical applications for the management of breast cancer patients. The technologies include ultrasound elastography, contrast-enhanced ultrasound, 3-D ultrasound, automatic breast ultrasound and computer-aided detection of breast ultrasound. We summarize the study results seen in the literature and discuss their future directions. We also provide a review of ultrasound-guided, breast biopsy and the fusion of ultrasound with other imaging modalities, especially magnetic resonance imaging (MRI). For comparison, we also discuss the diagnostic performance of mammography, MRI, positron emission tomography and computed tomography for breast cancer diagnosis at the end of this review. New ultrasound imaging techniques, ultrasound-guided biopsy and the fusion of ultrasound with other modalities provide important tools for the management of breast patients.

Indexed as

BiopsyBreastBreast NeoplasmsFemaleHumansReproducibility of ResultsUltrasonography, InterventionalUltrasonography, MammaryAutomated ultrasoundBreast cancerComputer-aided detectionDetection and DiagnosisImage fusionMagnetic resonance imaging (MRI)Positron emission tomography (PET)Three-dimensional (3D) ultrasoundUltrasound-guided biopsyUltrasound imaging

Identifiers

PMID29107353
PMCPMC6169997
OpenAlexW2765288370

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.