Evidence map›Paper›PMID 28663917›Full record

ArticleBiomedical optics express2017

Use of a handheld terahertz pulsed imaging device to differentiate benign and malignant breast tissue.

Maarten R Grootendorst, Anthony J Fitzgerald, Susan G Brouwer de Koning, Aida Santaolalla, Alessia Portieri, Mieke Van Hemelrijck, Matthew R Young, Julie Owen, Massi Cariati, Michael Pepper and 3 more

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.7field-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

24 citing papers in PubMed, 83 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Biomedical application of terahertz imaging technology: a narrative review.Quantitative imaging in medicine and surgery · 2023
    Review
  7. Triage ofBiomedical optics express · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Terahertz Imaging for Breast Cancer Detection.Sensors (Basel, Switzerland) · 2021
    Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Terahertz Portable Handheld Spectral Reflection (PHASR) Scanner.IEEE access : practical innovations, open solutions · 2020
    Article
  19. Terahertz tomographic imaging of freshly excised human breast tissues.Journal of medical imaging (Bellingham, Wash.) · 2019
    Article
  20. 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

13 authors at 5 institutions in 2 countries.

Maarten R GrootendorstKing's College London, Division of Cancer Studies, London, UK.
Anthony J FitzgeraldSchool of Physics, University of Western Australia, Perth, Australia.
Susan G Brouwer de KoningKing's College London, Division of Cancer Studies, London, UK.
Aida SantaolallaKing's College London, Division of Cancer Studies, London, UK.
Alessia PortieriTeraview Ltd., Cambridge, UK.
Mieke Van HemelrijckKing's College London, Division of Cancer Studies, London, UK.
Matthew R YoungDepartment of Breast Surgery, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Julie OwenKing's College London, Division of Cancer Studies, King's Health Partners Cancer Biobank and Breast Pathology Research Group, London, UK.
Massi CariatiKing's College London, Division of Cancer Studies, London, UK.
Michael PepperTeraview Ltd., Cambridge, UK.
Vincent P WallaceSchool of Physics, University of Western Australia, Perth, Australia.
Sarah E PinderKing's College London, Division of Cancer Studies, King's Health Partners Cancer Biobank and Breast Pathology Research Group, London, UK.
Arnie PurushothamKing's College London, Division of Cancer Studies, London, UK.
King's College London · GBGuy's and St Thomas' NHS Foundation Trust · GBUniversity of Western Australia · AULondon Centre for Nanotechnology · GBTeraView (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since nearly 20% of breast-conserving surgeries (BCS) require re-operation, there is a clear need for developing new techniques to more accurately assess tumor resection margins intraoperatively. This study evaluates the diagnostic accuracy of a handheld terahertz pulsed imaging (TPI) system to discriminate benign from malignant breast tissue ex vivo. Forty six freshly excised breast cancer samples were scanned with a TPI handheld probe system, and histology was obtained for comparison. The image pixels on TPI were classified using (1) parameters in combination with support vector machine (SVM) and (2) Gaussian wavelet deconvolution in combination with Bayesian classification. The results were an accuracy, sensitivity, specificity of 75%, 86%, 66% for method 1, and 69%, 87%, 54% for method 2 respectively. This demonstrates the probe can discriminate invasive breast cancer from benign breast tissue with an encouraging degree of accuracy, warranting further study.

Indexed as

(110.6795) Terahertz imaging(170.3880) Medical and biological imaging(170.6935) Tissue characterization

Identifiers

PMID28663917
PMCPMC5480440
OpenAlexW2612142967

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.