Ryuichi Ueno’s research while affiliated with Tokyo Medical University and other places

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Publications (3)

Fig. 2 Relationship between the transverse area of muscle fibers and the number of muscle fibers. Area indicates the average transverse area of muscle fibers (μm 2 ). Number indicates the number of muscle fibers per mm 2 . Each value is the mean (n = 11). Black squares indicate the values in the group of Type A facial muscles. Black triangles indicate the values in the group of Type B facial muscles. White squares indicate the values in the group of Type C facial mus-
High-power views of the muscle fibers stained with H&E. 80-year-old man; scale bar = 100 μm. a Muscle fibers in the orbital part of the orbicularis oculi (Type A). b Muscle fibers in the buccinator (Type B). c Muscle fibers in the platysma (Type C). d Muscle fibers in the masseter (masticatory muscle)
Relationship between the transverse area of muscle fibers and the number of muscle fibers. Area indicates the average transverse area of muscle fibers (μm²). Number indicates the number of muscle fibers per mm². Each value is the mean (n = 11). Black squares indicate the values in the group of Type A facial muscles. Black triangles indicate the values in the group of Type B facial muscles. White squares indicate the values in the group of Type C facial muscles. Black diamonds indicate the values in the group of masticatory muscles. Black circles indicate the values in the group of skeletal muscles. Scatter diagram of the facial, masticatory and skeletal muscles shows a regression analysis of the average transverse area of the muscle fibers and the number of muscle fibers per mm² (r = − 0.70; p < 0.01)
Evaluation of Yanagihara facial nerve grading system based on a muscle fiber analysis of human facial muscles
  • Article
  • Full-text available

July 2019

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481 Reads

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3 Citations

European Archives of Oto-Rhino-Laryngology

Kumiko Sekikawa

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Hiroshi Moriyama

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Hidenobu Miyaso

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[...]

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Masahiro Itoh

Purpose We morphometrically analyzed human facial muscles, and evaluated the Yanagihara facial nerve grading system using our data. Methods We used 15 types of human facial muscle, 2 types of masticatory muscle and 2 types of skeletal muscle. The materials were obtained from 11 Japanese male cadavers aged 43–86 years. We counted the muscle fibers and measured the transverse area of the muscle fibers (TAMF), and then calculated the number of muscle fibers (NMF) per mm² and the average TAMF. Results We found a significant correlation between average TAMF and NMF (r = − 0.70; p < 0.01). We classified facial muscles into three types based on the correlational results. Type A had a low average TAMF and high NMF. Type C had a high average TAMF and low NMF. Masticatory and skeletal muscles were characterized as Type C. Type B was intermediate between Types A and C. Conclusions Pathological changes in the facial muscles in facial nerve palsy seem to vary according to the type of facial muscle, because each facial muscle has a unique fiber-type composition. As the nine discrete facial expressive states evaluated in the Yanagihara system involve all three facial muscle types of our classification, the Yanagihara system is an outstanding system for grading facial nerve palsy in terms of the facial muscle morphology.

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Citations (3)

... We employed a widely used recumbent bicycle ergometer in the early post-operative phase after major loss of a unilateral leg. Furthermore, this work continues the findings of our previous case series, which involved estimation of the physiological and kinematic features for amputated lower legs with a leg exercise model focused on dynamic knee extensors [22,23]. The self-controlled freely chosen pedaling rate (PR) (•) showed an exponential increase (upward curve) from onset of exercise to exhaustion. ...

Reference:

Multiple Sessions of One-Legged Recumbent Cycle Ergometer Exercise Improved Pedaling Rate and Knee Range of Motion in a Middle-Aged Man after Hip Disarticulation: A Clinical Case
Voluntary Thigh Muscle Strength with Resection Stump-Dependent Blood Flow and Vasodilation in an Amputated Lower Leg with Total Surface Bearing Prosthesis during Dynamic Knee Extensor: A Case Trial

Open Journal of Therapy and Rehabilitation

Takuya Osada

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Masahiro Ishiyama

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Ryuichi Ueno

... 18−20 However, the movement of human facial muscles are complex, for example, masseter and temporal muscles control occlusion, smile muscles control expression, and so on. 21 Hence, it is crucial to design a lip-reading strain sensor that primarily senses the lip area while remaining unaffected by the deformation of other facial muscles. ...

Reference:

Laser-Induced Graphene Strain Sensor for Conformable Lip-Reading Recognition and Human–Machine Interaction
Evaluation of Yanagihara facial nerve grading system based on a muscle fiber analysis of human facial muscles

European Archives of Oto-Rhino-Laryngology

Kumiko Sekikawa

·

Hiroshi Moriyama

·

Hidenobu Miyaso

·

[...]

·

Masahiro Itoh

... We employed a widely used recumbent bicycle ergometer in the early post-operative phase after major loss of a unilateral leg. Furthermore, this work continues the findings of our previous case series, which involved estimation of the physiological and kinematic features for amputated lower legs with a leg exercise model focused on dynamic knee extensors [22,23]. The self-controlled freely chosen pedaling rate (PR) (•) showed an exponential increase (upward curve) from onset of exercise to exhaustion. ...

Reference:

Multiple Sessions of One-Legged Recumbent Cycle Ergometer Exercise Improved Pedaling Rate and Knee Range of Motion in a Middle-Aged Man after Hip Disarticulation: A Clinical Case
Time-course of thigh muscle contraction-induced blood flow magnitude in amputated lower limb with prosthesis during dynamic knee extensions: A case study
  • Citing Article

  • January 2018

Physical Therapy and Rehabilitation

Takuya Osada

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Masahiro Ishiyama

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Ryuichi Ueno