Research progress of diffusion tensor imaging in lumbar degenerative diseases: a narrative review
J Orthop Surg Res
https://doi.org/10.1186/s13018-026-06924-y
Article in Press
Research progress of diffusion tensor imaging in
lumbar degenerative diseases: a narrative review
Nan Zhang, Zemin Zhao, Jinlin Tian & Yang Xu
Received: 11 March 2026
Accepted: 1 May 2026
Cite this article as: Zhang N., Zhao Z.,
Tian J. et al. Research progress of
diffusion tensor imaging in lumbar
degenerative diseases: a narrative
review. J Orthop Surg Res (2026). https://
doi.org/10.1186/s13018-026-06924-y
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Research progress of diffusion tensor imaging in lumbar
degenerative diseases: a narrative review
Nan Zhang1+, Zemin Zhao2+, Jinlin Tian1 and Yang Xu1*
+Nan
Zhang and Zemin Zhao are co-first authors who equally contributed to
this manuscript.
*Correspondence: Yang Xu Email:
1Medical
Imaging Department, 82nd Group Army Hospital, People's
Liberation Army, Baoding 071000, Hebei, China Email:
2North
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China University of Technology Tangshan 063200, Hebei, China
Abstract
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Degenerative diseases of the lumbar spine are a common cause of chronic
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low back pain and neurological dysfunction. Their pathological basis
involves not only microscopic structural damage to the intervertebral discs
but also microscopic injury to adjacent nerves and muscle tissues. Diffusion
tensor imaging (DTI), which relies on the anisotropic properties of water
molecule
diffusion,
enables
non-invasive,
quantitative
assessment
of
microscopic structural changes in intervertebral discs, nerve fiber bundles,
and
muscle
tissues.
Studies
have
shown
that
DTI-related
parameters—fractional anisotropy (FA), apparent diffusion coefficient (ADC),
and other parameters show a strong correlation with the degree of
degeneration,
nerve
compression,
and
clinical
symptoms
in
lumbar
degenerative diseases such as intervertebral disc degeneration, lumbar disc
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herniation, and stenosis of the spinal canal and intervertebral foramen.
These parameters can provide imaging evidence for identifying the affected
segment and evaluating treatment efficacy. This review summarizes the
recent advances in the application of DTI in lumbar degenerative diseases,
with the aim of providing a reference for the clinical application of DTI and
future research.
Keywords
Diffusion
tensor
imaging,
Lumbar
degenerative
disease,
Intervertebral disc degeneration, Lumbar disc herniation, Lumbar spinal
stenosis, Lumbar foraminal stenosis, Paraspinal muscle changes, Artificial
intelligence
Introduction
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Lumbar disc herniation, foraminal stenosis, and spinal canal stenosis are
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common degenerative conditions with high incidence. By compressing
nearby neural structures and triggering inflammation, they can cause
microscopic damage. This is the main reason patients end up with pain, odd
sensations, or trouble moving. It gets in the way of daily life. Therefore, the
precise clinical assessment of the involved nerve roots and the degree of
neural
injury
is
pivotal
for
formulating
therapeutic
plans
and
prognosticating outcomes. Conventional magnetic resonance imaging (MRI),
however, has inherent limitations in evaluating radicular function, as it
cannot comprehensively visualize the course of nerve roots or assess their
microstructural and functional integrity.
DTI, an MRI technique that can show the direction of water molecule
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diffusion, uses key parameters like FA and ADC to do a quantitative analysis
of nerve damage [1, 2]. DTI is now widely used in clinical settings for
different systemic diseases [3-5], especially in research and clinical settings
for the central nervous system [6, 7]. This has laid the groundwork for its
use in evaluating spinal diseases. While there have been many studies on
DTI's use in assessing the microscopic structure of compressed nerves in
patients with lumbar disc herniation, there have been fewer studies on its
use in other degenerative diseases. This article aims to review recent
literature on DTI's clinical application status in different degenerative
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lumbar lesions, briefly summarize the latest developments in AI technology
for optimizing DTI workflows, and provide new ideas and directions for
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promoting DTI technology in the clinical application of lumbar degenerative
diseases ( Fig. 1).
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Fig. 1 Flowchart illustrating the diagnostic framework of DTI in lumbar degenerative
diseases. The flowchart outlines identifying symptomatic levels, quantifying
microstructural damage, and predicting clinical outcomes—along with current challenges
and future.
DTI technology principle
Diffusion-weighted imaging (DWI) gave rise to DTI, a functional MRI
technique. It works by measuring the differences in how water molecules
diffuse through different types of tissue. It does this by applying a
diffusion-sensitive gradient field in at least six different directions in
three-dimensional
space.
This
allows
for
the
quantification
of
the
anisotropic characteristics of water molecules inside living cells [8]. In the
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nervous system, highly organized fiber bundles provide direction for water
molecules to diffuse. Water molecules can diffuse freely along the long axis
of the nerve fibers, but they are limited in the vertical direction by the
myelin sheath (...truncated)