Realistic computer simulation of bolus flow during swallowing
In this study, swallow simulation, Swallow Vision ®, was used to estimate the velocity, shear rate, and viscosity of food during swallowing. The subjects were a healthy young person and an elderly patient with aspiration. The test food was a Newtonian fluid (viscosity 2.5 mPa･ s) and a non-Newtonian...
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| Vydané v: | Food hydrocolloids Ročník 108; s. 106040 |
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| Hlavní autori: | , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Elsevier Ltd
01.11.2020
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| ISSN: | 0268-005X, 1873-7137 |
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| Abstract | In this study, swallow simulation, Swallow Vision ®, was used to estimate the velocity, shear rate, and viscosity of food during swallowing. The subjects were a healthy young person and an elderly patient with aspiration. The test food was a Newtonian fluid (viscosity 2.5 mPa･ s) and a non-Newtonian fluid (viscosity 300 mPa･s at a shear rate of 50 [1/s]). A realistic numerical organ model was created based on Computed Tomography and Video-fluorography while swallowing the test food, and the bolus flow was analyzed using a numerical model whose validation was evaluated.
Consequently, in the analysis of a model in which a healthy person swallowed the Newtonian fluid, the median velocity of the bolus flow changed in the range of 0.2–0.6 m/s, and there was a bimodal peak. The median shear rate ranged from 75 to 200 [1/s], and there were three peaks. In the swallowing of the non-Newtonian fluid, the flow velocity smoothly changed between 0.1 and 0.5 m/s, the shear rate varied between 50 and 100 [1/s], and the average of the median values during the entire swallowing process was 78 [1/s].
The trajectory analysis of the simulation model of the dysphagia patient demonstrated that the aspirated particles flowed faster than the non-aspirated particles.
These results indicate that the numerical simulation based on medical images can analyze the bolus flow during swallowing, although there are still issues to be solved.
Although the Newtonian fluid particles change their shear rate with time, the most frequent shear rate is approximately 100 [1/s]. Particle having the most frequent shear rate are quite a few about 100 in number. Consequently, the frequency distribution of the shear rate is constantly wide.In the non-Newtonian fluid, the frequency distribution has a sharp peak, approximately 75 [1/s] of shear rate, where more than 200 particles gather. Consequently, the frequency distribution spreads to an area narrower than that of the Newtonian fluid. [Display omitted]
•Computer simulation estimated velocity, shear rate, and viscosity during swallowing.•A Newtonian fluid velocity change had two peak values.•A shear rate of a non-Newtonian fluid changed as the swallowing process proceeded. |
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| AbstractList | In this study, swallow simulation, Swallow Vision ®, was used to estimate the velocity, shear rate, and viscosity of food during swallowing. The subjects were a healthy young person and an elderly patient with aspiration. The test food was a Newtonian fluid (viscosity 2.5 mPa･ s) and a non-Newtonian fluid (viscosity 300 mPa･s at a shear rate of 50 [1/s]). A realistic numerical organ model was created based on Computed Tomography and Video-fluorography while swallowing the test food, and the bolus flow was analyzed using a numerical model whose validation was evaluated.Consequently, in the analysis of a model in which a healthy person swallowed the Newtonian fluid, the median velocity of the bolus flow changed in the range of 0.2–0.6 m/s, and there was a bimodal peak. The median shear rate ranged from 75 to 200 [1/s], and there were three peaks. In the swallowing of the non-Newtonian fluid, the flow velocity smoothly changed between 0.1 and 0.5 m/s, the shear rate varied between 50 and 100 [1/s], and the average of the median values during the entire swallowing process was 78 [1/s].The trajectory analysis of the simulation model of the dysphagia patient demonstrated that the aspirated particles flowed faster than the non-aspirated particles.These results indicate that the numerical simulation based on medical images can analyze the bolus flow during swallowing, although there are still issues to be solved. In this study, swallow simulation, Swallow Vision ®, was used to estimate the velocity, shear rate, and viscosity of food during swallowing. The subjects were a healthy young person and an elderly patient with aspiration. The test food was a Newtonian fluid (viscosity 2.5 mPa･ s) and a non-Newtonian fluid (viscosity 300 mPa･s at a shear rate of 50 [1/s]). A realistic numerical organ model was created based on Computed Tomography and Video-fluorography while swallowing the test food, and the bolus flow was analyzed using a numerical model whose validation was evaluated. Consequently, in the analysis of a model in which a healthy person swallowed the Newtonian fluid, the median velocity of the bolus flow changed in the range of 0.2–0.6 m/s, and there was a bimodal peak. The median shear rate ranged from 75 to 200 [1/s], and there were three peaks. In the swallowing of the non-Newtonian fluid, the flow velocity smoothly changed between 0.1 and 0.5 m/s, the shear rate varied between 50 and 100 [1/s], and the average of the median values during the entire swallowing process was 78 [1/s]. The trajectory analysis of the simulation model of the dysphagia patient demonstrated that the aspirated particles flowed faster than the non-aspirated particles. These results indicate that the numerical simulation based on medical images can analyze the bolus flow during swallowing, although there are still issues to be solved. Although the Newtonian fluid particles change their shear rate with time, the most frequent shear rate is approximately 100 [1/s]. Particle having the most frequent shear rate are quite a few about 100 in number. Consequently, the frequency distribution of the shear rate is constantly wide.In the non-Newtonian fluid, the frequency distribution has a sharp peak, approximately 75 [1/s] of shear rate, where more than 200 particles gather. Consequently, the frequency distribution spreads to an area narrower than that of the Newtonian fluid. [Display omitted] •Computer simulation estimated velocity, shear rate, and viscosity during swallowing.•A Newtonian fluid velocity change had two peak values.•A shear rate of a non-Newtonian fluid changed as the swallowing process proceeded. |
| ArticleNumber | 106040 |
| Author | Yahiro, Nobutaka Takai, Megumi Inoue, Motoki Kikuchi, Takahiro Toyama, Yoshio Michiwaki, Yukihiro Kamiya, Tetsu Hanyu, Keigo Koshizuka, Seiichi |
| Author_xml | – sequence: 1 givenname: Yukihiro surname: Michiwaki fullname: Michiwaki, Yukihiro email: yukirom@musashino.jrc.or.jp organization: Japanese Red Cross Musashino Hospital, Division of Special Dentistry and Oral Surgery, Kyonan-cho 1-26-1, Musashino-city, 180-8610, Tokyo, Japan – sequence: 2 givenname: Tetsu surname: Kamiya fullname: Kamiya, Tetsu organization: Meiji Co., Ltd. Innovation Center, Nanakuni 1-29-1, Hachioji-city, 192-0919, Tokyo, Japan – sequence: 3 givenname: Takahiro surname: Kikuchi fullname: Kikuchi, Takahiro organization: Department of Systems Innovation, Graduate School of Engineering, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, 113-8656, Tokyo, Japan – sequence: 4 givenname: Yoshio surname: Toyama fullname: Toyama, Yoshio organization: Meiji Co., Ltd. Innovation Center, Nanakuni 1-29-1, Hachioji-city, 192-0919, Tokyo, Japan – sequence: 5 givenname: Megumi surname: Takai fullname: Takai, Megumi organization: Meiji Co., Ltd. Innovation Center, Nanakuni 1-29-1, Hachioji-city, 192-0919, Tokyo, Japan – sequence: 6 givenname: Keigo surname: Hanyu fullname: Hanyu, Keigo organization: Meiji Co., Ltd. Innovation Center, Nanakuni 1-29-1, Hachioji-city, 192-0919, Tokyo, Japan – sequence: 7 givenname: Motoki surname: Inoue fullname: Inoue, Motoki organization: Meiji Co., Ltd. Innovation Center, Nanakuni 1-29-1, Hachioji-city, 192-0919, Tokyo, Japan – sequence: 8 givenname: Nobutaka surname: Yahiro fullname: Yahiro, Nobutaka organization: Meiji Co., Ltd. Innovation Center, Nanakuni 1-29-1, Hachioji-city, 192-0919, Tokyo, Japan – sequence: 9 givenname: Seiichi surname: Koshizuka fullname: Koshizuka, Seiichi organization: Department of Systems Innovation, Graduate School of Engineering, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, 113-8656, Tokyo, Japan |
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| CitedBy_id | crossref_primary_10_1039_D3FO00363A crossref_primary_10_1080_10408398_2024_2330711 crossref_primary_10_1016_j_tifs_2023_05_008 crossref_primary_10_1146_annurev_food_052720_103054 crossref_primary_10_1016_j_foodres_2025_115679 crossref_primary_10_1371_journal_pone_0309379 crossref_primary_10_1016_j_ijbiomac_2023_127251 crossref_primary_10_1038_s41598_024_60422_x crossref_primary_10_1111_jtxs_12868 crossref_primary_10_1111_jtxs_12702 crossref_primary_10_1080_21681163_2023_2189486 |
| Cites_doi | 10.1111/jtxs.12201 10.1205/fbp.04209 10.1016/j.compbiomed.2016.11.017 10.1111/jtxs.12094 10.3136/nskkk.55.541 10.1016/j.compbiomed.2007.01.007 10.1111/j.1745-4603.2002.tb01369.x 10.1016/j.jtbi.2010.09.003 10.1111/jtxs.12005 10.1111/j.1745-4603.2011.00287.x 10.1111/j.1745-4603.1973.tb00657.x 10.1111/j.1532-5415.2008.01597.x 10.1016/j.jtbi.2011.04.016 10.1002/(SICI)1097-0363(19980415)26:7<751::AID-FLD671>3.0.CO;2-C 10.1038/s41538-019-0038-8 10.1152/ajpgi.00082.2019 10.1007/s40571-015-0049-4 10.1111/j.1745-4603.2009.00189.x |
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| Keywords | Viscosity Swallowing simulation Computer simulation Aspiration Trajectory analysis Velocity Shear rate |
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