Evidence map›Paper›PMID 29317032›Full record

ReviewSeminars in ultrasound, CT, and MR2018

Newer Technologies in Breast Cancer Imaging: Dedicated Cone-Beam Breast Computed Tomography.

Avice M O'Connell, Andrew Karellas, Srinivasan Vedantham, Daniel T Kawakyu-O'Connor

Registry-linked trialAbstract readReview
In one paragraph

Review in Seminars in ultrasound, CT, and MR, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05708664 (Precision Breast Conserving Surgery With the Guidance of Localization Combined With Multidetector CT 3-dimensional Image Reconstruction), which is not on this map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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.

NCT05708664 nacompletednot on this mapstarted 2021, after this paper: background citation

Precision Breast Conserving Surgery With the Guidance of Localization Combined With Multidetector CT 3-dimensional Image Reconstruction: a Single Center, Prospective, Cohort Study.

TypeinterventionalSponsorThe First Affiliated Hospital with Nanjing Medical UniversityRan2021 to 2023Enrolled92ConditionsBreast CancerArmsprecision breast conserving surgery guided by wire guided localization combined with MDCT guided 3D reconstruction
3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Radiology of fibrosis. Part I: Thoracic organs.Journal of translational medicine · 2024
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Artificial Intelligence in Breast X-Ray Imaging.Seminars in ultrasound, CT, and MR · 2023
    Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Cone-beam breast computed tomography using ultra-fast image reconstruction with constrained, total-variation minimization for suppression of artifacts.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2020
    Article
  18. Article
  19. Article
  20. 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

4 authors.

Avice M O'ConnellDepartment of Imaging Sciences, Section of Women's Imaging, University of Rochester Medical Center, Rochester, NY.
Andrew KarellasDepartment of Medical Imaging, Banner University Medical Center, University of Arizona College of Medicine, Tucson, AZ.
Srinivasan VedanthamDepartment of Medical Imaging (DMI), Office for Project Statistical and Design Support-DMI, Banner University Medical Center, University of Arizona College of Medicine, Tucson, AZ.
Daniel T Kawakyu-O'ConnorDepartment of Imaging Sciences, Section of Emergency Imaging, University of Rochester Medical Center, Rochester, NY. Electronic address: daniel_oconnor@urmc.rochester.edu.

Funding

Towards screening with high-resolution, low-dose, dedicated breast CTR01CA199044 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SRINIVASAN VEDANTHAM · 2016 to 2026
$6.1M
Reducing mastectomy rates in invasive lobular carcinoma by high-resolution 3D breast CTR01CA195512 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI VEDANTHAM, SRINIVASAN · 2015 to 2017
$757k
Role of 3D Tomography in Breast CancerR21CA134128 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GLICK, STEPHEN J, KARELLAS, ANDREW · 2009 to 2010
$723k
NCI NIH HHS R01 CA195512NCI NIH HHS R01 CA199044NCI NIH HHS R21 CA134128
6 · The paper itself

Abstract

Dedicated breast computed tomography (CT) is the latest in a long history of breast imaging techniques dating back to the 1960s. Breast imaging is performed both for cancer screening as well as for diagnostic evaluation of symptomatic patients. Dedicated breast CT received US Food and Drug Administration approval for diagnostic use in 2015 and is slowly gaining recognition for its value in diagnostic 3-dimensional imaging of the breast, and also for injected contrast-enhanced imaging applications. Conventional mammography has known limitations in sensitivity and specificity, especially in dense breasts. Breast tomosynthesis was US Food and Drug Administration approved in 2011 and is now widely used. Dedicated breast CT is the next technological advance, combining real 3-dimensional imaging with the ease of contrast administration. The lack of painful compression and manipulation of the breasts also makes dedicated breast CT much more acceptable for the patients.

Indexed as

BreastBreast NeoplasmsCone-Beam Computed TomographyFemaleHumansImaging, Three-DimensionalMammographySensitivity and Specificity

Identifiers

PMID29317032
PMCPMC5957539

What OpenQuestion holds

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Registered trials

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.