What question did this study set out to answer?

This research aims to quantify how healthy morphological variability in sagittal alignment influences spinal loading patterns in musculoskeletal models.

April 27, 2026Computers in Biology and Medicine0 citationsOpen Access

Impact of Sagittal Alignment on Spinal Loading in Musculoskeletal Models

Healthy morphological variability in sagittal alignment modulates loading patterns in musculoskeletal spine modelling

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Authors

SBSimone Borrelli VBValentina Benna GPGiovanni Putame

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Overview

Randomized trial quantifies spinal load impact of morphological variability in healthy individuals, suggesting better modeling approaches.

Key Points

This research aims to quantify how healthy morphological variability in sagittal alignment influences spinal loading patterns in musculoskeletal models.
Used SSA4MSK tool to integrate subject-specific sagittal alignment into OpenSim models.
Analyzed 1586 spinal models derived from 122 female subjects across various Roussouly types.
Compared spinal load estimations between generic and subject-specific alignment models.
Generic models introduce systematic bias in compression up to ±15% across different morphotypes.
Compression underestimated by up to 80N for flat profiles (RT1) and overestimated for hyperlordotic profiles (RT4).
Lumbar apex position affects shear forces by up to 0.24N per unit body weight, highlighting the sensitivity of the thoracolumbar junction.

Cite This Study

Borrelli et al. (2026) studied this question.

synapsesocial.com/papers/69eefc6dfede9185760d3824 https://doi.org/10.1016/j.compbiomed.2026.111704

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April 27, 2026Computers in Biology and Medicine0 citationsOpen Access

Impact of Sagittal Alignment on Spinal Loading in Musculoskeletal Models

Healthy morphological variability in sagittal alignment modulates loading patterns in musculoskeletal spine modelling

View Full Paper

Ask AI

Bookmark

Authors

SBSimone Borrelli VBValentina Benna GPGiovanni Putame

Discussion

Member takes

Overview

Randomized trial quantifies spinal load impact of morphological variability in healthy individuals, suggesting better modeling approaches.

Key Points

This research aims to quantify how healthy morphological variability in sagittal alignment influences spinal loading patterns in musculoskeletal models.
Used SSA4MSK tool to integrate subject-specific sagittal alignment into OpenSim models.
Analyzed 1586 spinal models derived from 122 female subjects across various Roussouly types.
Compared spinal load estimations between generic and subject-specific alignment models.
Generic models introduce systematic bias in compression up to ±15% across different morphotypes.
Compression underestimated by up to 80N for flat profiles (RT1) and overestimated for hyperlordotic profiles (RT4).
Lumbar apex position affects shear forces by up to 0.24N per unit body weight, highlighting the sensitivity of the thoracolumbar junction.

Cite This Study

Borrelli et al. (2026) studied this question.

synapsesocial.com/papers/69eefc6dfede9185760d3824 https://doi.org/10.1016/j.compbiomed.2026.111704

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