Evidence map›Paper›PMID 34513245›Full record

ArticleBiomedical optics express2021

Hyperspectral imaging and robust statistics in non-melanoma skin cancer analysis.

Lloyd A Courtenay, Diego González-Aguilera, Susana Lagüela, Susana Del Pozo, Camilo Ruiz-Mendez, Inés Barbero-García, Concepción Román-Curto, Javier Cañueto, Carlos Santos-Durán, María Esther Cardeñoso-Álvarez and 4 more

Abstract read
In one paragraph

Article in Biomedical optics express, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Precision Imaging for Early Detection of Esophageal Cancer.Bioengineering (Basel, Switzerland) · 2025
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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

14 authors.

Lloyd A CourtenayDepartment of Cartographic and Terrain Engineering, Higher Polytechnic School of Ávila, University of Salamanca, Hornos Caleros 50, 05003 Ávila, Spain.ORCID https://orcid.org/0000-0002-4810-2001
Diego González-AguileraDepartment of Cartographic and Terrain Engineering, Higher Polytechnic School of Ávila, University of Salamanca, Hornos Caleros 50, 05003 Ávila, Spain.
Susana LagüelaDepartment of Cartographic and Terrain Engineering, Higher Polytechnic School of Ávila, University of Salamanca, Hornos Caleros 50, 05003 Ávila, Spain.
Susana Del PozoDepartment of Cartographic and Terrain Engineering, Higher Polytechnic School of Ávila, University of Salamanca, Hornos Caleros 50, 05003 Ávila, Spain.
Camilo Ruiz-MendezDepartment of Didactics of Mathematics and Experimental Sciences, Faculty of Education, Paseo de Canaleja 169, 37008, Salamanca, Spain.
Inés Barbero-GarcíaDepartment of Cartographic and Terrain Engineering, Higher Polytechnic School of Ávila, University of Salamanca, Hornos Caleros 50, 05003 Ávila, Spain.
Concepción Román-CurtoDepartment of Dermatology, University Hospital of Spain, Paseo de San Vicente 58-182, 37007, Salamanca, Spain.
Javier CañuetoDepartment of Dermatology, University Hospital of Spain, Paseo de San Vicente 58-182, 37007, Salamanca, Spain.
Carlos Santos-DuránDepartment of Dermatology, University Hospital of Spain, Paseo de San Vicente 58-182, 37007, Salamanca, Spain.
María Esther Cardeñoso-ÁlvarezDepartment of Dermatology, University Hospital of Spain, Paseo de San Vicente 58-182, 37007, Salamanca, Spain.
Mónica Roncero-RiescoDepartment of Dermatology, University Hospital of Spain, Paseo de San Vicente 58-182, 37007, Salamanca, Spain.
David Hernandez-LopezInstitute for Regional Development, University of Castilla la Mancha, Campus Universitario s/n, 02071, Albacete, Spain.
Diego Guerrero-SevillaInstitute for Regional Development, University of Castilla la Mancha, Campus Universitario s/n, 02071, Albacete, Spain.
Pablo Rodríguez-GonzalvezDepartment of Mining Technology, Topography and Structures, University of León, Ponferrada, Léon, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-Melanoma skin cancer is one of the most frequent types of cancer. Early detection is encouraged so as to ensure the best treatment, Hyperspectral imaging is a promising technique for non-invasive inspection of skin lesions, however, the optimal wavelengths for these purposes are yet to be conclusively determined. A visible-near infrared hyperspectral camera with an ad-hoc built platform was used for image acquisition in the present study. Robust statistical techniques were used to conclude an optimal range between 573.45 and 779.88 nm to distinguish between healthy and non-healthy skin. Wavelengths between 429.16 and 520.17 nm were additionally found to be optimal for the differentiation between cancer types.

Identifiers

PMID34513245
PMCPMC8407807

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.