Evidence map›Paper›PMID 27446665›Full record

ArticleBiomedical optics express2016

Hessian analysis for the delineation of amorphous anomalies in optical coherence tomography images of the aortic wall.

Eusebio Real, José Fernando Val-Bernal, José M Revuelta, Alejandro Pontón, Marta Calvo Díez, Marta Mayorga, José M López-Higuera, Olga M Conde

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

8 authors at 3 institutions in 1 country.

Eusebio RealPhotonics Engineering Group (GIF), Department TEISA, University of Cantabria, Plaza de la Ciencia S/N, 39005 Santander, Spain.
José Fernando Val-BernalIDIVAL and Anatomical Pathology Department, Marqués de Valdecilla University Hospital, Medical Faculty, University of Cantabria, Avda, Cardenal Herrera Oria S/N 39011, Santander, Spain.
José M RevueltaMedical and Surgical Sciences Department, Faculty of Medicine, University of Cantabria, Avda, Cardenal Herrera Oria S/N 39011, Santander, Spain.
Alejandro PontónCardiovascular Surgery Service, Marqués de Valdecilla University Hospital, Avenida Valdecilla S/N, 39008 Santander, Spain.
Marta Calvo DíezCardiovascular Surgery Service, Marqués de Valdecilla University Hospital, Avenida Valdecilla S/N, 39008 Santander, Spain.
Marta MayorgaIDIVAL and Anatomical Pathology Department, Marqués de Valdecilla University Hospital, Medical Faculty, University of Cantabria, Avda, Cardenal Herrera Oria S/N 39011, Santander, Spain.
José M López-HigueraPhotonics Engineering Group (GIF), Department TEISA, University of Cantabria, Plaza de la Ciencia S/N, 39005 Santander, Spain.
Olga M CondePhotonics Engineering Group (GIF), Department TEISA, University of Cantabria, Plaza de la Ciencia S/N, 39005 Santander, Spain.
Universidad de Cantabria · ESInstituto de Investigación Marqués de Valdecilla · ESMarqués de Valdecilla University Hospital · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aortic aneurysm is a disease originated mainly in the media layer of the aortic wall due to the occurrence of degraded areas of altered biological composition. These anomalous regions affect the structure and strength of the aorta artery, being their occurrence and extension proportional to the arterial vessel health. Optical Coherence Tomography (OCT) is applied to obtain cross-sectional images of the artery wall. The backscattering mechanisms in tissue make aorta images difficult to analyze due to noise and strong attenuation with penetration. The morphology of anomalies in pathological specimens is also diverse with amorphous shapes and varied dimensions, being these factors strongly related with tissue degradation and the aorta physiological condition. Hessian analysis of OCT images from aortic walls is used to assess the accurate delineation of these anomalous regions. A specific metric of the Hessian determinant is used to delineate degraded regions under blurry conditions and noise. A multiscale approach, based on an anisotropic Gaussian kernel filter, is applied to highlight and aggregate all the heterogeneity present in the aortic wall. An accuracy estimator metric has been implemented to evaluate and optimize the delineation process avoiding subjectivity. Finally, a degradation quantification score has been developed to assess aorta wall condition by OCT with validation against common histology.

Indexed as

(100.3008) Image recognition, algorithms and filters(110.4500) Optical coherence tomography(170.3880) Medical and biological imaging(170.4580) Optical diagnostics for medicine(170.6935) Tissue characterization

Identifiers

PMID27446665
PMCPMC4929651
OpenAlexW2323023184

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.