Evidence map›Paper›PMID 31547210›Full record

ReviewCancers2019

Radiomics and Texture Analysis in Laryngeal Cancer. Looking for New Frontiers in Precision Medicine through Imaging Analysis.

Carlos Miguel Chiesa-Estomba, Oier Echaniz, Ekhiñe Larruscain, Jose Angel Gonzalez-Garcia, Jon Alexander Sistiaga-Suarez, Manuel Graña

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 31 citations in OpenAlex.

  1. Trial
  2. Radiomics in laryngeal squamous cell carcinoma: state of the art.Acta otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Thyroid cartilage infiltration in advanced laryngeal cancer: prognostic implications and predictive modelling.Acta otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale · 2024
    Article
  9. Advancing Precision Medicine: Algebraic Topology and Differential Geometry in Radiology and Computational Pathology.Laboratory investigation; a journal of technical methods and pathology · 2024
    Review
  10. Article
  11. Imaging for Laryngeal Malignancies: Guidelines for Clinicians.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2023
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. 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

6 authors at 1 institution in 1 country.

Carlos Miguel Chiesa-EstombaOtorhinolaryngology-Head & Neck Surgery Department, Hospital Universitario Donostia, 20014 San Sebastian-Donostia, Spain. chiesaestomba86@gmail.com.ORCID 0000-0001-9454-9464
Oier EchanizComputational Intelligence Group, Facultad de Informatica UPV/EHU, 20018 San Sebastian-Donostia, Spain. oier.etxaniz@gmail.com.ORCID 0000-0001-6800-1518
Ekhiñe LarruscainOtorhinolaryngology-Head & Neck Surgery Department, Hospital Universitario Donostia, 20014 San Sebastian-Donostia, Spain. ekhinel@gmail.com.
Jose Angel Gonzalez-GarciaOtorhinolaryngology-Head & Neck Surgery Department, Hospital Universitario Donostia, 20014 San Sebastian-Donostia, Spain. tirititet@gmail.com.
Jon Alexander Sistiaga-SuarezOtorhinolaryngology-Head & Neck Surgery Department, Hospital Universitario Donostia, 20014 San Sebastian-Donostia, Spain. jasistiaga@gmail.com.
Manuel GrañaComputational Intelligence Group, Facultad de Informatica UPV/EHU, 20018 San Sebastian-Donostia, Spain. ccpgrrom@gmail.com.ORCID 0000-0001-7373-4097
Biogipuzkoa Health Research Institute · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiomics and texture analysis represent a new option in our biomarkers arsenal. These techniques extract a large number of quantitative features, analyzing their properties to incorporate them in clinical decision-making. Laryngeal cancer represents one of the most frequent cancers in the head and neck area. We hypothesized that radiomics features can be included as a laryngeal cancer precision medicine tool, as it is able to non-invasively characterize the overall tumor accounting for heterogeneity, being a prognostic and/or predictive biomarker derived from routine, standard of care, imaging data, and providing support during the follow up of the patient, in some cases avoiding the need for biopsies. The larynx represents a unique diagnostic and therapeutic challenge for clinicians due to its complex tridimensional anatomical structure. Its complex regional and functional anatomy makes it necessary to enhance our diagnostic tools in order to improve decision-making protocols, aimed at better survival and functional results. For this reason, this technique can be an option for monitoring the evolution of the disease, especially in surgical and non-surgical organ preservation treatments. This concise review article will explain basic concepts about radiomics and discuss recent progress and results related to laryngeal cancer.

Indexed as

cancerlarynxradiomicstexture analysis

Identifiers

PMID31547210
PMCPMC6826870
OpenAlexW2974226890

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.