Application of intravoxel incoherent motion perfusion imaging to shoulder muscles after a lift-off test of varying duration.

Intravoxel incoherent motion (IVIM) MRI is a method to extract microvascular blood flow information out of diffusion-weighted images acquired at multiple b-values. We hypothesized that IVIM can identify the muscles selectively involved in a specific task, by measuring changes in activity-induced local muscular perfusion after exercise. We tested this hypothesis using a widely used clinical maneuver, the lift-off test, which is known to assess specifically the subscapularis muscle functional integrity. Twelve shoulders from six healthy male volunteers were imaged at 3 T, at rest, as well as after a lift-off test hold against resistance for 30 s, 1 and 2 min respectively, in three independent sessions. IVIM parameters, consisting of perfusion fraction (f), diffusion coefficient (D), pseudo-diffusion coefficient D* and blood flow-related fD*, were estimated within outlined muscles of the rotator cuff and the deltoid bundles. The mean values at rest and after the lift-off tests were compared in each muscle using a one-way ANOVA. A statistically significant increase in fD* was measured in the subscapularis, after a lift-off test of any duration, as well as in D. A fD* increase was the most marked (30 s, +103%; 1 min, +130%; 2 min, +156%) and was gradual with the duration of the test (in 10(-3) mm(2) /s: rest, 1.41 ± 0.50; 30 s, 2.86 ± 1.17; 1 min, 3.23 ± 1.22; 2 min, 3.60 ± 1.21). A significant increase in fD* and D was also visible in the posterior bundle of the deltoid. No significant change was consistently visible in the other investigated muscles of the rotator cuff and the other bundles of the deltoid. In conclusion, IVIM fD* allows the demonstration of a task-related microvascular perfusion increase after a specific task and suggests a direct relationship between microvascular perfusion and the duration of the effort. It is a promising method to investigate non-invasively skeletal muscle physiology and clinical perfusion-related muscular disorders.

Plantar pressures in the tennis serve.

In-shoe loading patterns were examined in each foot (back and front) separately during two types of tennis serve [first (or flat) and second (or twist) serve] and two service stance styles [foot-up (back foot is moved forward next to front foot for push-off) and foot-back (feet remain at the same relative level)]. Ten competitive tennis players completed five trials for each type of serve and service stance style in random order. Plantar pressure distribution was recorded using Pedar insoles divided into nine areas for analysis. Mean and peak pressures (+15.2%, P < 0.01 and +12.8%, P < 0.05) as well as maximal forces (+20.2%, P < 0.01) were higher under the lateral forefoot of the front foot in first than in second serves, while mean forces were higher (+17.2%, P < 0.05) under the lesser toes. Relative load was higher on the lateral forefoot (+20.4%, P < 0.05) but lower (-32.5%, P < 0.05) on the medial heel of the front foot with foot-up compared with foot-back stance. Using a foot-up stance, loading of the back foot was higher (+31.8%, P < 0.01) under the lateral mid-foot but lower (-29.9%, P < 0.01) under the medial forefoot. The type of serve and the stance style adopted have a significant effect on foot loading. Such findings might help improve mechanical efficiency of the serve.

Changes in spring-mass model characteristics during repeated running sprints.

This study investigated fatigue-induced changes in spring-mass model characteristics during repeated running sprints. Sixteen active subjects performed 12 × 40 m sprints interspersed with 30 s of passive recovery. Vertical and anterior-posterior ground reaction forces were measured at 5-10 m and 30-35 m and used to determine spring-mass model characteristics. Contact (P &lt; 0.001), flight (P &lt; 0.05) and swing times (P &lt; 0.001) together with braking, push-off and total stride durations (P &lt; 0.001) lengthened across repetitions. Stride frequency (P &lt; 0.001) and push-off forces (P &lt; 0.05) decreased with fatigue, whereas stride length (P = 0.06), braking (P = 0.08) and peak vertical forces (P = 0.17) changes approached significance. Center of mass vertical displacement (P &lt; 0.001) but not leg compression (P &gt; 0.05) increased with time. As a result, vertical stiffness decreased (P &lt; 0.001) from the first to the last repetition, whereas leg stiffness changes across sprint trials were not significant (P &gt; 0.05). Changes in vertical stiffness were correlated (r &gt; 0.7; P &lt; 0.001) with changes in stride frequency. When compared to 5-10 m, most of ground reaction force-related parameters were higher (P &lt; 0.05) at 30-35 m, whereas contact time, stride frequency, vertical and leg stiffness were lower (P &lt; 0.05). Vertical stiffness deteriorates when 40 m run-based sprints are repeated, which alters impact parameters. Maintaining faster stride frequencies through retaining higher vertical stiffness is a prerequisite to improve performance during repeated sprinting.

Quantitative estimation of foot-flat and stance phase of gait using foot-worn inertial sensors.

Time periods composing stance phase of gait can be clinically meaningful parameters to reveal differences between normal and pathological gait. This study aimed, first, to describe a novel method for detecting stance and inner-stance temporal events based on foot-worn inertial sensors; second, to extract and validate relevant metrics from those events; and third, to investigate their suitability as clinical outcome for gait evaluations. 42 subjects including healthy subjects and patients before and after surgical treatments for ankle osteoarthritis performed 50-m walking trials while wearing foot-worn inertial sensors and pressure insoles as a reference system. Several hypotheses were evaluated to detect heel-strike, toe-strike, heel-off, and toe-off based on kinematic features. Detected events were compared with the reference system on 3193 gait cycles and showed good accuracy and precision. Absolute and relative stance periods, namely loading response, foot-flat, and push-off were then estimated, validated, and compared statistically between populations. Besides significant differences observed in stance duration, the analysis revealed differing tendencies with notably a shorter foot-flat in healthy subjects. The result indicated which features in inertial sensors' signals should be preferred for detecting precisely and accurately temporal events against a reference standard. The system is suitable for clinical evaluations and provides temporal analysis of gait beyond the common swing/stance decomposition, through a quantitative estimation of inner-stance phases such as foot-flat.