Evidence map›Paper›PMID 28665291›Full record

ArticlePhysics in medicine and biology2017

The compressed breast during mammography and breast tomosynthesis: in vivo shape characterization and modeling.

Alejandro Rodríguez-Ruiz, Greeshma A Agasthya, Ioannis Sechopoulos

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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.

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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Multiclass Segmentation of Suspicious Findings in Simulated Breast Tomosynthesis Images Using a U-Net.Proceedings of SPIE--the International Society for Optical Engineering · 2022
    Article
  7. Personalization of X-Ray Tube Motion in Digital Breast Tomosynthesis Using Virtual Defrise Phantoms.Proceedings of SPIE--the International Society for Optical Engineering · 2019
    Article
  8. Article
  9. Analysis of Volume Overestimation Artifacts in the Breast Outline Segmentation in Tomosynthesis.Proceedings of SPIE--the International Society for Optical Engineering · 2018
    Article
  10. Novel Perlin-based Phantoms Using 3D Models of Compressed Breast Shape and Fractal Noise.Proceedings of SPIE--the International Society for Optical Engineering
    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

3 authors.

Alejandro Rodríguez-RuizDepartment of Radiology and Nuclear Medicine, Radboud University Medical Centre, Geert Grooteplein 10, 6525 GA, Nijmegen, Netherlands.ORCID 0000-0002-7554-5561
Greeshma A AgasthyaDepartment of Radiology and Imaging Sciences, Emory University, 1364 Clifton Road NE, Atlanta, GA 30322, United States of America.
Ioannis SechopoulosDepartment of Radiology and Nuclear Medicine, Radboud University Medical Centre, Geert Grooteplein 10, 6525 GA, Nijmegen, Netherlands.

Funding

Image Quality Improvement and Breast Compression Reduction in Breast TomosynthesiR01CA163746 · NCI · RADBOUD UNIVERSITY NIJMEGEN MED CTR · PI SECHOPOULOS, IOANNIS · 2012 to 2015
$1.2M
Image Quality Improvement and Performance Assessment of Dedicated Breast CTR01CA181171 · NCI · STICHTING RADBOUD UNIVERSITAIR MEDISCH CENTRUM I.O. · PI SECHOPOULOS, IOANNIS · 2015 to 2020
$1.1M
NCI NIH HHS R01 CA163746NCI NIH HHS R01 CA181171
6 · The paper itself

Abstract

To characterize and develop a patient-based 3D model of the compressed breast undergoing mammography and breast tomosynthesis. During this IRB-approved, HIPAA-compliant study, 50 women were recruited to undergo 3D breast surface imaging with structured light (SL) during breast compression, along with simultaneous acquisition of a tomosynthesis image. A pair of SL systems were used to acquire 3D surface images by projecting 24 different patterns onto the compressed breast and capturing their reflection off the breast surface in approximately 12-16 s. The 3D surface was characterized and modeled via principal component analysis. The resulting surface model was combined with a previously developed 2D model of projected compressed breast shapes to generate a full 3D model. Data from ten patients were discarded due to technical problems during image acquisition. The maximum breast thickness (found at the chest-wall) had an average value of 56 mm, and decreased 13% towards the nipple (breast tilt angle of 5.2°). The portion of the breast not in contact with the compression paddle or the support table extended on average 17 mm, 18% of the chest-wall to nipple distance. The outermost point along the breast surface lies below the midline of the total thickness. A complete 3D model of compressed breast shapes was created and implemented as a software application available for download, capable of generating new random realistic 3D shapes of breasts undergoing compression. Accurate characterization and modeling of the breast curvature and shape was achieved and will be used for various image processing and clinical tasks.

Indexed as

Models, BiologicalAdultAgedBreastBreast NeoplasmsFemaleHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMammographyMiddle AgedPrincipal Component Analysis

Identifiers

PMID28665291
PMCPMC5727349

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.