Evidence map›Paper›PMID 27403319›Full record

ArticleBMC sports science, medicine & rehabilitation2016

Ultrasound assessment of fascial connectivity in the lower limb during maximal cervical flexion: technical aspects and practical application of automatic tracking.

Carlos Cruz-Montecinos, Mauricio Cerda, Rodolfo Sanzana-Cuche, Jaime Martín-Martín, Antonio Cuesta-Vargas

Open access · goldAbstract read
In one paragraph

Article in BMC sports science, medicine & rehabilitation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

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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

5 authors at 4 institutions in 2 countries.

Carlos Cruz-MontecinosDepartment of Physical Therapy, Faculty of Medicine, University of Chile, Santiago, Chile ; Laboratory of Biomechanics, San José Hospital, Santiago, Chile.
Mauricio CerdaSCIAN-Lab, Programa de Anatomía y Biología del Desarrollo, ICBM, University of Chile, Santiago, Chile.
Rodolfo Sanzana-CucheDepartamento de Ciencias Morfológicas, Facultad de Ciencia, Universidad San Sebastián, Santiago, Chile.
Jaime Martín-MartínEscuela de Terapia Ocupacional, Facultad de Salud, Deporte y Recreación, Universidad Bernardo O Higgins, Santiago, Chile ; Departamento de Fisioterapia, Facultad de Ciencias de la Salud, Instituto Investigacion Biomedica de Málaga (IBIMA), Universidad de Málaga, Andalucia Tech, Cátedra de Fisioterapia y DiscapacidadGrupo de Clinimetria (FE-14), Málaga, Spain.
Antonio Cuesta-VargasDepartamento de Fisioterapia, Facultad de Ciencias de la Salud, Instituto Investigacion Biomedica de Málaga (IBIMA), Universidad de Málaga, Andalucia Tech, Cátedra de Fisioterapia y DiscapacidadGrupo de Clinimetria (FE-14), Málaga, Spain ; School of Clinical Science, Faculty of Health Sciences at Queensland University Technology, Brisbane, Australia ; Facultad de Ciencias de la Salud, Universidad de Málaga, Av. Arquitecto Peñalosa s/n (Teatinos Campus Expansion), 29009 Málaga, Spain.ORCID 0000-0002-8880-4315
University of Chile · CLInstituto de Investigación Biomédica de Málaga · ESSan Sebastián University · CLUniversidad Bernardo O'Higgins · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe fascia provides and transmits forces for connective tissues, thereby regulating human posture and movement. One way to assess the myofascial interaction is a fascia ultrasound recording. Ultrasound can follow fascial displacement either manually or automatically through two-dimensional (2D) method. One possible method is the iterated Lucas-Kanade Pyramid (LKP) algorithm, which is based on automatic pixel tracking during passive movements in 2D fascial displacement assessments. Until now, the accumulated error over time has not been considered, even though it could be crucial for detecting fascial displacement in low amplitude movements. The aim of this study was to assess displacement of the medial gastrocnemius fascia during cervical spine flexion in a kyphotic posture with the knees extended and ankles at 90°.

methodsThe ultrasound transducer was placed on the extreme dominant belly of the medial gastrocnemius. Displacement was calculated from nine automatically selected tracking points. To determine cervical flexion, an established 2D marker protocol was implemented. Offline pressure sensors were used to synchronize the 2D kinematic data from cervical flexion and deep fascia displacement of the medial gastrocnemius.

resultsFifteen participants performed the cervical flexion task. The basal tracking error was 0.0211 mm. In 66 % of the subjects, a proximal fascial tissue displacement of the fascia above the basal error (0.076 mm ± 0.006 mm) was measured. Fascia displacement onset during cervical spine flexion was detected over 70 % of the cycle; however, only when detected for more than 80 % of the cycle was displacement considered statistically significant as compared to the first 10 % of the cycle (ANOVA, p < 0.05).

conclusionBy using an automated tracking method, the present analyses suggest statistically significant displacement of deep fascia. Further studies are needed to corroborate and fully understand the mechanisms associated with these results.

Indexed as

Connective tissueFasciaMyofascialRehabilitationTracking motion

Identifiers

PMID27403319
PMCPMC4939606
OpenAlexW2471554272

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.