Fat infiltration in the lumbar multifidus and erector spinae muscles in subjects with sway-back posture

Pezolato, Adriano; Vasconcelos, Everaldo Encide de; Defino, Helton Luíz Aparecido; Nogueira-Barbosa, Marcello Henrique

doi:10.1007/s00586-012-2286-z

Cited by 81 publications

(60 citation statements)

References 24 publications

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“…The severity of PPGP fluctuates according to a study within the range of 50-60 mm VAS scale (Visual Analogue Scale) [6]. Posture during the occurrence of PPGP is characterized by excessive snap with increased antetorsion of the pelvis while seated or the patients has a "swayback" posture type [3,7]. We can observe the deterioration of coordination (increased rotational amplitudes of pelvis, lumbar segment and thorax), slower gait, followed by increased rotation of the pelvis relative to the chest [8].…”

Section: Introductionmentioning

confidence: 99%

Impact of Kinesio Taping application on pregnant women suffering from pregnancy-related pelvic girdle pain — preliminary study

Kuciel

Sutkowska

Cienska³

et al. 2017

Ginekol Pol

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Objectives: The aim of the study was to assess the impact of pregnancy-related pelvic girdle pain on every day functioning and evaluate how effective Kinesio Taping is in reducing pain for pregnant women.Material and methods: 24 women filled the author's questionnaire, Oswestry Disability Index Questionnaire and Pelvic Girdle Questionnaire before starting the therapy. Elastic tape was applied onto the lumbosacral area for 5 days and was evaluated 1 st day of the test immediately before application, day 2, 3, 4, 5, 6 and 10 day of the examination.Results: ODI score was 20.09 and showed major disability resulting from severity of the pain. PGQ score was 19.909. Significant pain reduction was registered on the 3 rd day after tape was applied, significant pain reduction on the day of tape removal, and 5 days after tape removal. Conclusions:Elastic tape decreases pain in pregnancy-related pelvic girdle pain. Pelvic girdle pain deteriorates the quality of life for pregnant women.

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Section: Introductionmentioning

confidence: 99%

Impact of Kinesio Taping application on pregnant women suffering from pregnancy-related pelvic girdle pain — preliminary study

Kuciel

Sutkowska

Cienska³

et al. 2017

Ginekol Pol

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“…The first step is defining the region of interest (ROI) in the MRI-defined lumbar muscles and then segmenting the ROI [2], [3]. The second step is detecting the fatty regions based on the threshold [4], [5] and softness level selected by the user, and computing the fat content percentage [2], [4], [5].…”

Section: Introductionmentioning

confidence: 99%

“…The third step is subdividing the ROI into smaller segments with reference to the centre of the spinal column. The final step is computing the total cross-sectional area [2], [3], the functional cross-sectional area [2], [3], [6] and the fat content percentage in every region. A stand-alone graphical user interface (GUI) using Matlab R2010a was developed based on the four steps, with interactive controls for selecting the region of interest (ROI) from the input image, threshold adjustment, softness level adjustment, displaying the intermediate results and appending the computed results into an existing database.…”

Section: Introductionmentioning

confidence: 99%

Fat quantification in MRI-defined lumbar muscles

Antony

McGuinness

Welch

et al. 2014

2014 4th International Conference on Image Processing Theory, Tools and Applications (IPTA)

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Abstract-Some studies suggest fat infiltration in the lumbar muscles (LM) is associated with lower back pain (LBP) in adults. Usually fat in MRI-defined lumbar muscles is qualitatively evaluated by visual grading via a 3 point scale, whereas a quantitative continuous (0 -100%) approach may provide a greater insight. In this paper, we propose a method to precisely quantify the fat content / infiltration in a user-defined region of the lumbar muscles, which may aid better diagnosis. The key steps are segmenting the region of interest (ROI) from the lumbar muscles, identifying the fatty regions in the segmented region based on the selected threshold and softness levels, computing the parameters (such as total and region-wise fat content percentage, total-cross sectional area (TCSA), functional cross-sectional area (FCSA)) and exporting the computations and associated patient information from the MRI, into a database. A standalone application using MATLAB R2010a was developed to perform the required computations along with an intuitive GUI.

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“…Variations in sagittal alignment can be theorized to produce alterations in biomechanical environment in the spinopelvic region, either at the passive tissue, muscular, or motor control level [1][2][3][4][5][6][7][8]. Furthermore, small systematic differences early in life may be hypothesized to result in a considerable increase in accumulated load and/or a gradual process of failure of certain properties, thereby rendering the human spinopelvic complex vulnerable to pain, (progressive) deformity and/or early degenerative changes [1, 2, 4, [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Posture class prediction of pre-peak height velocity subjects according to gross body segment orientations using linear discriminant analysis

et al. 2013

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Background/purpose Measurement and classification of standing posture in the sagittal plane has important clinical implications for adolescent spinal disorders. Previous work using cluster analysis on three gross body segment orientation parameters (lower limbs, trunk, and entire body inclination) has identified three distinct postural groups of healthy subjects before pubertal peak growth: ''neutral'', ''sway-back'', and ''leaning-forward''. Although accurate postural subgrouping may be proposed to be crucial in understanding biomechanical challenges posed by usual standing, there is currently no objective method available for class assignment. Hence, this paper introduces a novel approach to subclassify new cases objectively according to their overall sagittal balance. Methods Postural data previously acquired from 1,196 pre-peak height velocity (pre-PHV) subjects were used in this study. To derive a classification rule for assigning a class label (''neutral'', ''sway-back'', or ''leaningforward'') to any new pre-PHV subjects, linear discriminant analysis was applied. Predictor variables were pelvic displacement, trunk lean and body lean angle. The performance of the newly developed classification algorithm was verified by adopting a cross-validation procedure. Results The statistical model correctly classified over 96.2 % of original grouped subjects. In the cross-validation procedure used, over 95.9 % of subjects were correctly assigned. Conclusions Based on three angular measures describing gross body segment orientation, our triage method is capable of reliably classifying pre-PHV subjects as either ''neutral'', ''sway-back'', or ''leaning-forward''. The discriminant prediction equations presented here enable a highly accurate posture class allocation of new cases with a prediction capability higher than 95.9 %, thereby removing subjectivity from sagittal plane posture classification.

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Fat infiltration in the lumbar multifidus and erector spinae muscles in subjects with sway-back posture

Abstract: The results of this study indicate that individuals with sway-back posture may be susceptible to morphological changes in their lumbar erector spinae and lumbar multifidus muscles, both due to the presence of pain and as a consequence of their habitual posture.

Cited by 81 publications

References 24 publications

Impact of Kinesio Taping application on pregnant women suffering from pregnancy-related pelvic girdle pain — preliminary study

Impact of Kinesio Taping application on pregnant women suffering from pregnancy-related pelvic girdle pain — preliminary study

Fat quantification in MRI-defined lumbar muscles

Posture class prediction of pre-peak height velocity subjects according to gross body segment orientations using linear discriminant analysis

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