Evidence map›Paper›PMID 39649775›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2024

Polarimetry terahertz imaging of human breast cancer surgical specimens.

Nikita Gurjar, Keith Bailey, Magda El-Shenawee

Abstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Nikita GurjarUniversity of Arkansas, Department of Electrical Engineering and Computer Science, Fayetteville, Arkansas, United States.ORCID https://orcid.org/0000-0002-3611-8890
Keith BaileyAlnylam, Cambridge, Massachusetts, United States.
Magda El-ShenaweeUniversity of Arkansas, Department of Electrical Engineering and Computer Science, Fayetteville, Arkansas, United States.ORCID https://orcid.org/0000-0001-7678-8883

Funding

Terahertz Imaging for Margin Assessment of Three Dimensional Breast Cancer TumorsR15CA208798 · NCI · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI EL-SHENAWEE, MAGDA · 2017 to 2021
$849k
NCI NIH HHS R15 CA208798
6 · The paper itself

Abstract

Purpose: We investigate terahertz (THz) polarimetry imaging of seven human breast cancer surgical specimens. The goal is to enhance image contrast between adjacent tissue types of cancer, healthy collagen, and fat in excised breast tumors. Based on the biological perception of random growth of cancer and invasion of surrounding healthy tissues in the breast, we hypothesize that cancerous cells interact with the THz electric field in a different manner compared with healthy cells. This difference can be best captured using multiple polarizations instead of single polarization. Approach: Time domain pulsed signals are experimentally collected from each pixel of the specimen in horizontal-horizontal, vertical-horizontal, vertical-vertical, and horizontal-vertical polarizations. The time domain pulses are transformed to the frequency domain to obtain the power spectra and 16 Mueller matrix images. The whole-slide pathology imaging was used to interpret and label all images. Results: The results of the cross and co-polarization power spectrum images demonstrated a strong dependency on the tissue orientation with respect to the emitted and detected electric fields. At the 130-deg rotation angle of the scanned samples, the detector showed the strongest reflected signal in cross-polarization. Furthermore, the Mueller matrix images consistently demonstrated patterns in fresh and block tissues confirming the differentiation between tissue types in breast tumor specimens. Conclusions: THz polarimetry imaging shows a potential for improving image contrast in excised tumor tissues compared with single polarization imaging. Cross-polarization signals demonstrated smaller amplitudes compared with co-polarized signals. However, averaging the signal during measurements has tremendously improved the image. Furthermore, in post-processing, averaging the frequency domain images and the Mueller matrix elements with respect to frequency has led to better image contrast. Some patterns in the Mueller matrix images were difficult to interpret leading to the necessity of more investigation of the Mueller matrix and its physiological interpretation of breast tumor tissues.

Indexed as

breast cancerMueller matrixpower spectraterahertz spectroscopy and imagingwhole pathology imaging

Identifiers

PMID39649775
PMCPMC11619717

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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.