Evidence map›Paper›PMID 30768630›Full record

ArticlePloS one2019

Haralick texture feature analysis for quantifying radiation response heterogeneity in murine models observed using Raman spectroscopic mapping.

Irene Vrbik, Samantha J Van Nest, Phiranuphon Meksiarun, Jason Loeppky, Alexandre Brolo, Julian J Lum, Andrew Jirasek

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

7 authors at 2 institutions in 1 country.

Irene VrbikThe Department of Statistics, University of British Columbia Okanagan Campus, Kelowna, BC, Canada.
Samantha J Van NestThe Department of Physics and Astronomy, University of Victoria, Victoria, BC, Canada.ORCID 0000-0002-1156-5811
Phiranuphon MeksiarunThe Department of Physics, University of British Columbia Okanagan Campus, Kelowna, BC, Canada.
Jason LoeppkyThe Department of Statistics, University of British Columbia Okanagan Campus, Kelowna, BC, Canada.
Alexandre BroloThe Department of Chemistry, University of Victoria, Victoria, BC, Canada.
Julian J LumTrev and Joyce Deeley Research Centre, BC Cancer, Victoria, BC, Canada.
Andrew JirasekThe Department of Physics, University of British Columbia Okanagan Campus, Kelowna, BC, Canada.ORCID 0000-0003-0844-2092
University of British Columbia · CAUniversity of Victoria · CA

Funding

CIHR
6 · The paper itself

Abstract

Tumour heterogeneity plays a large role in the response of tumour tissues to radiation therapy. Inherent biological, physical, and even dose deposition heterogeneity all play a role in the resultant observed response. We here implement the use of Haralick textural analysis to quantify the observed glycogen production response, as observed via Raman spectroscopic mapping, of tumours irradiated within a murine model. While an array of over 20 Haralick features have been proposed, we here concentrate on five of the most prominent features: homogeneity, local homogeneity, contrast, entropy, and correlation. We show that these Haralick features can be used to quantify the inherent heterogeneity of the Raman spectroscopic maps of tumour response to radiation. Furthermore, our results indicate that Haralick-calculated textural features show a statistically significant dose dependent variation in response heterogeneity, specifically, in glycogen production in tumours irradiated with clinically relevant doses of ionizing radiation. These results indicate that Haralick textural analysis provides a quantitative methodology for understanding the response of murine tumours to radiation therapy. Future work in this area can, for example, utilize the Haralick textural features for understanding the heterogeneity of radiation response as measured by biopsied patient tumour samples, which remains the standard of patient tumour investigation.

Indexed as

Gamma RaysSpectrum Analysis, RamanAnimalsCell Line, TumorDose-Response Relationship, RadiationMiceNeoplasms, Experimental

Identifiers

PMID30768630
PMCPMC6377107
OpenAlexW2914184806

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.