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Article

Dynamic Surface Topography for Thoracic and Lumbar Pain Patients—Applicability and First Results

1
Department of Orthopedics and Trauma Surgery, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany
2
Institute of Physical Therapy, Prevention and Rehabilitation, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany
3
Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg University Mainz, Obere Zahlbacher Straße 69, 55131 Mainz, Germany
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Bioengineering 2025, 12(3), 289; https://doi.org/10.3390/bioengineering12030289
Submission received: 31 January 2025 / Revised: 28 February 2025 / Accepted: 5 March 2025 / Published: 13 March 2025
(This article belongs to the Special Issue Spine Biomechanics)

Abstract

Current routine diagnostic procedures for back pain mainly focus on static spinal analyses. Dynamic Surface Topography (DST) is an easy-to-use, radiation-free addition, allowing spine analyses under dynamic conditions. Until now, it is unclear if this method is applicable to back pain patients, and data reports are missing. Within a prospective observational study, 32 patients suffering from thoracic and lumbar back pain were examined while walking, randomized at four speeds (2, 3, 4, 5 km/h), using a DST measuring device (DIERS 4Dmotion® Lab). The measurement results were compared with those of a healthy reference group. We calculated the intrasegmental rotation for every subject and summed up the spinal motion in a standardized gait cycle. The Mann–Whitney U Test was used to compare the painful and healthy reference groups at the four different speeds. In a subgroup analysis, the painful group was divided into two groups: one with less pain (≤3 points on the Visual Analogue Scale) and one with more pain (>3 points on the Visual Analogue Scale). The Kruskal–Wallis Test was used to compare these subgroups with the healthy reference group. Of the 32 included patients, not all could walk at the intended speeds (5 km/h: 28/32). At speeds of 2–4 km/h, our results point to greater total segmental rotation of back pain patients compared to the healthy reference group. At a speed of 3 km/h, we observed more movement in the patients with more pain. Overall, we monitored small differences on average between the groups but large standard deviations. We conclude that the DST measuring approach is eligible for back pain patients when they feel confident enough to walk on a treadmill. Initial results suggest that DST can be used to obtain interesting therapeutic information for an individual patient.
Keywords: back pain; spinal motion; rotational movement; dynamic surface topography; videorasterstereography back pain; spinal motion; rotational movement; dynamic surface topography; videorasterstereography

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MDPI and ACS Style

Kniepert, J.; Rönsch, H.; Betz, U.; Konradi, J.; Huthwelker, J.; Wolf, C.; Westphal, R.; Drees, P. Dynamic Surface Topography for Thoracic and Lumbar Pain Patients—Applicability and First Results. Bioengineering 2025, 12, 289. https://doi.org/10.3390/bioengineering12030289

AMA Style

Kniepert J, Rönsch H, Betz U, Konradi J, Huthwelker J, Wolf C, Westphal R, Drees P. Dynamic Surface Topography for Thoracic and Lumbar Pain Patients—Applicability and First Results. Bioengineering. 2025; 12(3):289. https://doi.org/10.3390/bioengineering12030289

Chicago/Turabian Style

Kniepert, Johanna, Henriette Rönsch, Ulrich Betz, Jürgen Konradi, Janine Huthwelker, Claudia Wolf, Ruben Westphal, and Philipp Drees. 2025. "Dynamic Surface Topography for Thoracic and Lumbar Pain Patients—Applicability and First Results" Bioengineering 12, no. 3: 289. https://doi.org/10.3390/bioengineering12030289

APA Style

Kniepert, J., Rönsch, H., Betz, U., Konradi, J., Huthwelker, J., Wolf, C., Westphal, R., & Drees, P. (2025). Dynamic Surface Topography for Thoracic and Lumbar Pain Patients—Applicability and First Results. Bioengineering, 12(3), 289. https://doi.org/10.3390/bioengineering12030289

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