Evidence map›Paper›PMID 32233091›Full record

ArticleMedical physics2020

Effects of kV, filtration, dose, and object size on soft tissue and iodine contrast in dedicated breast CT.

Andrew M Hernandez, Craig K Abbey, Peymon Ghazi, George Burkett, John M Boone

Open access · greenAbstract read
In one paragraph

Article in Medical physics, 2020. 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
1.5field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Hybrid simulation of breast CT for assessing microcalcification detectability.Journal of medical imaging (Bellingham, Wash.) · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. High-resolutionJournal of medical imaging (Bellingham, Wash.) · 2021
    Article
  9. Article
  10. 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

5 authors at 2 institutions in 1 country.

Andrew M HernandezDepartment of Radiology, University of California Davis, Sacramento, 95817, CA, USA.
Craig K AbbeyDepartment of Psychological & Brain Sciences, University of California Santa Barbara, Santa Barbara, CA, 93106, USA.
Peymon GhaziMalcova LLC, Baltimore, MD, 21211, USA.
George BurkettDepartment of Radiology, University of California Davis, Sacramento, 95817, CA, USA.
John M BooneDepartment of Radiology, University of California Davis, Sacramento, 95817, CA, USA.
University of California, Davis · USUniversity of California, Santa Barbara · US

Funding

Breast CT: Final Steps to TranslationR01CA181081 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BOONE, JOHN M · 2015 to 2019
$2.9M
Modeling observer performance in low-dose CT assessmentsR01EB025829 · NIBIB · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI ABBEY, CRAIG KENDALL · 2018 to 2021
$1.7M
NCI NIH HHS R01 CA181081NCI NIH HHS R01 EB025829NCI NIH HHS RO1 CA181081NIBIB NIH HHS R01 EB025829
6 · The paper itself

Abstract

purposeClinical use of dedicated breast computed tomography (bCT) requires relatively short scan times necessitating systems with high frame rates. This in turn impacts the x-ray tube operating range. We characterize the effects of tube voltage, beam filtration, dose, and object size on contrast and noise properties related to soft tissue and iodine contrast agents as a way to optimize imaging protocols for soft tissue and iodine contrast at high frame rates.

methodsThis study design uses the signal-difference-to-noise ratio (SDNR), noise-equivalent quanta (NEQ), and detectability (d´) as measures of imaging performance for a prototype breast CT scanner that utilizes a pulsed x-ray tube (with a 4 ms pulse width) at 43.5 fps acquisition rate. We assess a range of kV, filtration, breast phantom size, and mean glandular dose (MGD). Performance measures are estimated from images of adipose-equivalent breast phantoms machined to have a representative size and shape of small, medium, and large breasts. Water (glandular tissue equivalent) and iodine contrast (5 mg/ml) were used to fill two cylindrical wells in the phantoms.

resultsAir kerma levels required for obtaining an MGD of 6 mGy ranged from 7.1 to 9.1 mGy and are reported across all kV, filtration, and breast phantom sizes. However, at 50 kV, the thick filters (0.3 mm of Cu or Gd) exceeded the maximum available mA of the x-ray generator, and hence, these conditions were excluded from subsequent analysis. There was a strong positive association between measurements of SDNR and d' (R

conclusionsThe choice of 60 kV with 0.2 mm Gd filtration provides a good trade-off for maximizing both soft tissue and iodine contrast. This scanning technique takes advantage of the ~50 keV Gd k-edge to produce contrast and can be achieved within operating range of the x-ray generator used in this work. Imaging at 60 kV allows for a greater range in dose delivered to the large breast sizes when uniform image quality is desired across all breast sizes. While imaging performance metrics (i.e., detectability index and SDNR) were shown to be strongly correlated, the methodologies presented in this work for the estimation of NEQ (and subsequently d') provides a meaningful description of the spatial resolution and noise characteristics of this prototype bCT system across a range of beam quality, dose, and object sizes.

Indexed as

IodineBreastPhantoms, ImagingRadiation DosageThoraxTomography, X-Ray ComputedIodinebreast CTiodine contrastMTFNPSspectral optimizationx-ray imaging

Identifiers

PMID32233091
PMCPMC7771224
OpenAlexW3013128977

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.