Evidence map›Paper›PMID 31569079›Full record

ArticlePhysics in medicine and biology2019

A compact system for intraoperative specimen imaging based on edge illumination x-ray phase contrast.

Glafkos Havariyoun, Fabio A Vittoria, Charlotte K Hagen, Dario Basta, Gibril K Kallon, Marco Endrizzi, Lorenzo Massimi, Peter Munro, Sam Hawker, Bennie Smit and 12 more

Open access · hybridAbstract read
In one paragraph

Article in Physics in medicine and biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Edge-illumination spectral phase-contrast tomography.Physics in medicine and biology · 2024
    Article
  5. Article
  6. Edge-Illumination X-Ray Dark-Field Tomography.Physical review applied · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Edge-illumination x-ray phase-contrast imaging.Journal of physics. Condensed matter : an Institute of Physics journal · 2021
    Review
  13. 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

22 authors at 5 institutions in 2 countries.

Glafkos HavariyounDepartment of Medical Physics and Bioengineering, University College London, WC1E 6BT, United Kingdom. Author to whom correspondence should be addressed.
Fabio A Vittoria
Charlotte K Hagen
Dario Basta
Gibril K Kallon
Marco Endrizzi
Lorenzo Massimi
Peter Munro
Sam Hawker
Bennie Smit
Alberto Astolfo
Oliver J Larkin
Richard M Waltham
Zoheb Shah
Stephen W Duffy
Rachel L Nelan
Anthony Peel
Tamara Suaris
J Louise Jones
Ian G Haig
David Bate
Alessandro Olivo
University College London · GBNikon (United Kingdom) · GBQueen Mary University of London · GBSt Bartholomew's Hospital · GBNational Agency for New Technologies, Energy and Sustainable Economic Development · IT

Funding

Wellcome TrustWellcome Trust 200137/Z/15/Z
6 · The paper itself

Abstract

A significant number of patients receiving breast-conserving surgery (BCS) for invasive carcinoma and ductal carcinoma in situ (DCIS) may need reoperation following tumor-positive margins from final histopathology tests. All current intraoperative margin assessment modalities have specific limitations. As a first step towards the development of a compact system for intraoperative specimen imaging based on edge illumination x-ray phase contrast, we prove that the system's dimensions can be reduced without affecting imaging performance. We analysed the variation in noise and contrast to noise ratio (CNR) with decreasing system length using the edge illumination x-ray phase contrast imaging setup. Two-(planar) and three-(computed tomography (CT)) dimensional imaging acquisitions of custom phantoms and a breast tissue specimen were made. Dedicated phase retrieval algorithms were used to separate refraction and absorption signals. A 'single-shot' retrieval method was also used, to retrieve thickness map images, due to its simple acquisition procedure and reduced acquisition times. Experimental results were compared to numerical simulations where appropriate. The relative contribution of dark noise signal in integrating detectors is significant for low photon count statistics acquisitions. Under constant exposure factors and magnification, a more compact system provides an increase in CNR. Superior CNR results were obtained for refraction and thickness map images when compared to absorption images. Results indicate that the 'single-shot' acquisition method is preferable for a compact CT intraoperative specimen scanner; it allows for shorter acquisition times and its combination of the absorption and refraction signals ultimately leads to a higher contrast. The first CT images of a breast specimen acquired with the compact system provided promising results when compared to those of the longer length system.

Indexed as

Phantoms, ImagingTomography, X-Ray ComputedAlgorithmsBreast NeoplasmsFemaleHumansImage Processing, Computer-AssistedIntraoperative PeriodMargins of ExcisionMastectomy, SegmentalRadiographyReoperationSignal-To-Noise RatioX-Rays

Identifiers

PMID31569079
PMCPMC7655119
OpenAlexW2977874999

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.