Evidence map›Paper›PMID 26629005›Full record

ArticleInternational journal of clinical and experimental medicine2015

Cone beam CT for determining breast cancer margin: an initial experience and its comparison with mammography and specimen radiograph.

Juan Yao, Chris Shaw, C J Lai, John Rong, Jian Wang, Wenya Liu

Abstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. High-resolutionJournal of medical imaging (Bellingham, Wash.) · 2021
    Article
  2. Article
  3. Article
  4. Areas of breast tissue covered in cone beam breast CT imaging.Experimental and therapeutic medicine · 2017
    Article
  5. Noise Power Characteristics of a Micro-Computed Tomography System.Journal of computer assisted tomography · 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

6 authors at 2 institutions in 2 countries.

Juan YaoThe Imaging Center, The First Affiliated Hospital of Xinjiang Medical University Urumqi 830054, China.
Chris ShawMD Anderson Cancer Center, The University of Texas TX 77030, USA.
C J LaiMD Anderson Cancer Center, The University of Texas TX 77030, USA.
John RongMD Anderson Cancer Center, The University of Texas TX 77030, USA.
Jian WangThe Imaging Center, The First Affiliated Hospital of Xinjiang Medical University Urumqi 830054, China.
Wenya LiuThe Imaging Center, The First Affiliated Hospital of Xinjiang Medical University Urumqi 830054, China.
The University of Texas MD Anderson Cancer Center · USXinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the ability of cone beam CT (CBCT) in determining the breast cancer margin using, to compare the results with mammography and specimen radiography, and to explore the clinical potential of CBCT for breast imaging.

methodsSpecimens of 46 breast cancer patients were imaged by using a prototype CBCT system. Each patient underwent mammography, CBCT and X-ray of breast surgical specimen within 6 months. Images of mammography, breast surgical specimen radiography and CBCT were evaluated by an experienced radiologist. Indicators, such as: morphology, glitch, density, invasion, structural distortion and calcification, were observed.

resultThere was no significant difference of the calcification, glitch and morphology among three methods. However, there was significant difference in indicators of breast tumor invasion among three methods. There was statistical significance in detecting invasions of breast cancer cells in peripheral tissues among three methods.

conclusionCBCT shows no superiority over mammography and specimen radiography in determining tumor's outline and detecting calcification. On the other hand, CBCT demonstrates its advantage in determining the 3 dimensional position of a lesion which could be a potential clinical application in future practices of breast imaging.

Indexed as

Breast cancer marginbreast imagingcone-beam CTspecimen

Identifiers

PMID26629005
PMCPMC4658894
OpenAlexW2186237622

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.