Comparison of particle‐size distributions determined by optical scanning and by sieving in the assessment of masticatory performance
Identifieur interne : 003C48 ( Main/Exploration ); précédent : 003C47; suivant : 003C49Comparison of particle‐size distributions determined by optical scanning and by sieving in the assessment of masticatory performance
Auteurs : L. Eberhard [Allemagne] ; H. J. Schindler [Allemagne] ; D. Hellmann [Allemagne] ; M. Schmitter [Allemagne] ; P. Rammelsberg [Allemagne] ; N. N. Giannakopoulos [Allemagne]Source :
- Journal of Oral Rehabilitation [ 0305-182X ] ; 2012-05.
Descripteurs français
- Wicri :
- topic : Scanner.
English descriptors
- KwdEn :
- Ability test, Absolute alcohol, Acta odontol scand, Aspect ratio, Atbed scanner, Bilt, Blackwell publishing, Clinical examination, Complete denture wearers, Conversion factors, Correct sieve, Dent, Dentate, Dentate adults, Denture, Different methods, Different orientations, Different types, Discrete distribution, Discriminant, Discriminant analysis, Edge length, Functional state, Glass slab, Healthy volunteers, High correlation, Hydrocolloid material, Image analysis, Imaging, Immediate sieving, Large particles, Masticatory, Masticatory ability, Masticatory function, Masticatory performance, Masticatory system, Matlab tool, Median, Median particle size, Median particle sizes, Methodological study, Minimum calliper diameter, Minimum diameter, Optical scanning, Optosil, Oral rehabil, Other authors, Particle, Particle size distribution, Particle sizes, Personality traits, Powder brush, Prosthet dent, Prosthodontic terms, Rehabil, Scanner, Scanning, Scanning method, Scanning plane, Scanning process, Sieve, Sieve aperture, Sieve apertures, Sieve fraction, Sieve fractions, Sieve method, Sieve number, Sieve size, Sieving, Sieving machine, Sieving method, Sieving procedure, Smaller particles, Smaller sieves, Standard method, Test food, Test material, Third dimension, Threshold values, Validation, Weight distributions.
- Teeft :
- Ability test, Absolute alcohol, Acta odontol scand, Aspect ratio, Atbed scanner, Bilt, Blackwell publishing, Clinical examination, Complete denture wearers, Conversion factors, Correct sieve, Dent, Dentate, Dentate adults, Denture, Different methods, Different orientations, Different types, Discrete distribution, Discriminant, Discriminant analysis, Edge length, Functional state, Glass slab, Healthy volunteers, High correlation, Hydrocolloid material, Image analysis, Imaging, Immediate sieving, Large particles, Masticatory, Masticatory ability, Masticatory function, Masticatory performance, Masticatory system, Matlab tool, Median, Median particle size, Median particle sizes, Methodological study, Minimum calliper diameter, Minimum diameter, Optical scanning, Optosil, Oral rehabil, Other authors, Particle, Particle size distribution, Particle sizes, Personality traits, Powder brush, Prosthet dent, Prosthodontic terms, Rehabil, Scanner, Scanning, Scanning method, Scanning plane, Scanning process, Sieve, Sieve aperture, Sieve apertures, Sieve fraction, Sieve fractions, Sieve method, Sieve number, Sieve size, Sieving, Sieving machine, Sieving method, Sieving procedure, Smaller particles, Smaller sieves, Standard method, Test food, Test material, Third dimension, Threshold values, Validation, Weight distributions.
Abstract
Summary Aim of this study was to introduce a feasible and valid technique for the assessment of masticatory performance that is comparable to the standard sieving method. Twenty‐one chewing samples (Optosil) comminuted by healthy dentate adults were analysed with a sieving and scanning method. Scanning was performed using a conventional flatbed scanner (1200 dpi). All scanned images underwent image analysis (ImageJ), which yielded descriptive parameters such as area, best‐fitting ellipse for each particle. Of the 2D‐image, a volume was estimated for each particle, which was converted into a weight. To receive a discrete distribution of particle sizes comparable to sieving, five chewing samples were used to calculate a size‐dependent area‐volume‐conversion factor. The sieving procedure was carried out with a stack of 10 sieves, and the retained particles per sieve were weighed. The cumulated weights yielded by either method were curve‐fitted with the Rosin–Rammler distribution to determine the median particle size x50. The Rosin–Rammler distributions for sieving and scanning resemble each other. The distributions show a high correlation (0·919–1·0, n = 21, P < 0·01, Pearson’s correlation coefficient). The median particle sizes vary between 3·83 and 4·77 mm (mean: 4·31) for scanning and 3·53 and 4·55 mm (mean: 4·21) for sieving. On average, scanning overestimates the x50 values by 2·4%. A modified Bland–Altman plot reveals that 95% of the x50 values fall within 10% of the average x50. The scanning method is a valid, simple and feasible method to determine masticatory performance.
Url:
DOI: 10.1111/j.1365-2842.2011.02275.x
Affiliations:
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<front><div type="abstract">Summary Aim of this study was to introduce a feasible and valid technique for the assessment of masticatory performance that is comparable to the standard sieving method. Twenty‐one chewing samples (Optosil) comminuted by healthy dentate adults were analysed with a sieving and scanning method. Scanning was performed using a conventional flatbed scanner (1200 dpi). All scanned images underwent image analysis (ImageJ), which yielded descriptive parameters such as area, best‐fitting ellipse for each particle. Of the 2D‐image, a volume was estimated for each particle, which was converted into a weight. To receive a discrete distribution of particle sizes comparable to sieving, five chewing samples were used to calculate a size‐dependent area‐volume‐conversion factor. The sieving procedure was carried out with a stack of 10 sieves, and the retained particles per sieve were weighed. The cumulated weights yielded by either method were curve‐fitted with the Rosin–Rammler distribution to determine the median particle size x50. The Rosin–Rammler distributions for sieving and scanning resemble each other. The distributions show a high correlation (0·919–1·0, n = 21, P < 0·01, Pearson’s correlation coefficient). The median particle sizes vary between 3·83 and 4·77 mm (mean: 4·31) for scanning and 3·53 and 4·55 mm (mean: 4·21) for sieving. On average, scanning overestimates the x50 values by 2·4%. A modified Bland–Altman plot reveals that 95% of the x50 values fall within 10% of the average x50. The scanning method is a valid, simple and feasible method to determine masticatory performance.</div>
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