Key result
Orthostatic stress induced by a tilt bed of 15 degrees or more caused detectable changes in human tibia bone marrow blood volume and oxygenation, demonstrating the feasibility of non-invasive monitoring.
Why the study?
Does orthostatic stress induce blood volume and haemoglobin oxygen content changes in human bone marrow?
Observational (n=6)
No
Does orthostatic stress induce blood volume and haemoglobin oxygen content changes in human bone marrow?
p-value: p=<0.05
Near-infrared spectroscopy is a novel, non-invasive technique capable of detecting real-time blood volume and oxygenation changes in human bone marrow during orthostatic stress.
NIRS may enable non-invasive bone marrow monitoring; hypothesis-generating and requires validation before clinical adoption.
The interest in, and the need for effective measures to be used in screening, diagnosis, and the follow-up of skeletal pathologies is growing markedly. This paper proposes a completely new and non-invasive technique allowing the study of the human tibia bone marrow (BM) haemodynamics with a time resolution of 1 s. The technique, based on near infrared spectroscopy, is sensitive enough to allow the detection of BM blood volume and/or oxygen saturation changes during orthostatic variations imposed by a tilt bed. An increase in the slope of the bed of 15 degrees is sufficient to detect this phenomenon. The ability to study the possible presence of a neural control of BM haemodynamics is also discussed. No other existing technique currently allows one to obtain the proposed results and this approach might open up a new field of study related to human BM physiology.
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Binzoni et al. (2006) conducted an observational in Healthy (n=6). Orthostatic stress (head-up tilt) vs. Baseline (-10 degrees) was evaluated on Bone marrow blood volume and oxygen saturation changes (p=<0.05). Orthostatic stress induced by a tilt bed of 15 degrees or more caused detectable changes in human tibia bone marrow blood volume and oxygenation, demonstrating the feasibility of non-invasive monitoring.
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