Evidence map›Paper›PMID 17053979›Full record

ArticleJournal of mammary gland biology and neoplasia2006

Computed tomography for imaging the breast.

John M Boone, Alex L C Kwan, Kai Yang, George W Burkett, Karen K Lindfors, Thomas R Nelson

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Journal of mammary gland biology and neoplasia, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
10.0field-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

49 citing papers in PubMed, 147 citations in OpenAlex.

  1. Article
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  5. Model-Based 3-D X-Ray Induced Acoustic Computerized Tomography.IEEE transactions on radiation and plasma medical sciences · 2023
    Article
  6. Review
  7. Review
  8. Model-Based X-Ray-Induced Acoustic Computed Tomography.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2021
    Article
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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

6 authors at 2 institutions in 1 country.

John M BooneDepartment of Radiology, UC Davis Medical Center, University of California, Davis, 4860 Y Street, Suite 3100, Sacramento, CA 95817, USA. jmboone@ucdavis.edu
Alex L C Kwan
Kai Yang
George W Burkett
Karen K Lindfors
Thomas R Nelson
University of California Davis Medical Center · USUniversity of California San Diego · US

Funding

Breast CT scanner for earlier cancer detectionR01EB002138 · NIBIB · UNIVERSITY OF CALIFORNIA DAVIS · PI BOONE, JOHN M · 2003 to 2012
$9.0M
Feasibility of CT in high risk breast cancer patientsR01CA089260 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI BOONE, JOHN M · 2001 to 2003
$724k
NCI NIH HHS CA 89260NIBIB NIH HHS EB 002138
6 · The paper itself

Abstract

Despite the success of screening mammography contributing to the reduction of cancer mortality, a number of other imaging techniques are being studied for breast cancer screening. In our laboratory, a dedicated breast computed tomography (CT) system has been developed and is currently undergoing patient testing. The breast CT system is capable of scanning the breast with the woman lying prone on a tabletop, with the breast in the pendant position. A 360 degrees scan currently requires 16.6 s, and a second scanner with a 9-second scan time is nearly operational. Extensive effort was placed on computing the radiation dose to the breast under CT geometry, and the scan parameters are selected to utilize the same radiation dose levels as two-view mammography. A total of 55 women have been scanned, ten healthy volunteers in a Phase I trial, and 45 women with a high likelihood of having breast cancer in a Phase II trial. The breast CT process leads to the production of approximately three hundred 512 x 512 images for each breast. Subjective evaluation of the breast CT images reveals excellent anatomical detail, good depiction of microcalcifications, and exquisite visualization of the soft tissue components of the tumor when contrasted against adipose tissues. The use of iodine contrast injection dramatically enhances the visualization of tumors. While a thorough scientific investigation based upon observer performance studies is in progress, initial breast CT images do appear promising and it is likely that breast CT will play some role in breast cancer imaging.

Indexed as

Diffusion of InnovationBreastBreast NeoplasmsClinical Trials, Phase I as TopicClinical Trials, Phase II as TopicContrast MediaEquipment DesignFemaleHumansImage Processing, Computer-AssistedMammographyRadiation OncologyTechnologyTomography Scanners, X-Ray ComputedTomography, Spiral ComputedUltrasonographyContrast Media

Identifiers

PMID17053979
OpenAlexW2043489363

What OpenQuestion holds

Textmetadata
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.