Published online Nov 28, 2025. doi: 10.4329/wjr.v17.i11.114451
Revised: October 21, 2025
Accepted: October 29, 2025
Published online: November 28, 2025
Processing time: 69 Days and 2.2 Hours
Spinal cord injury and non-traumatic myelopathies are major causes of lifelong disability, yet conventional magnetic resonance imaging (MRI) can underestimate microstructural damage. Diffusion tensor imaging (DTI) and tractography map white-matter integrity by measuring fractional anisotropy (FA) and mean diffu
Core Tip: A rapid two-minute diffusion tensor imaging sequence enables cervical spinal cord tractography during routine magnetic resonance imaging (MRI). Supsupin et al demonstrate that distinct fractional anisotropy and mean diffusivity patterns reveal microstructural injury in contusion, metastasis, degenerative myelopathy, and multiple sclerosis – lesions that may appear less conspicuous on conventional MRI. Their work shows how tractography can support diagnosis, surgical planning, and longitudinal follow-up.
- Citation: Perera Molligoda Arachchige AS. Magnetic resonance tractography of the cervical spine: Toward routine clinical use. World J Radiol 2025; 17(11): 114451
- URL: https://www.wjgnet.com/1949-8470/full/v17/i11/114451.htm
- DOI: https://dx.doi.org/10.4329/wjr.v17.i11.114451
Spinal cord disorders including trauma, degenerative myelopathy, metastatic disease, and demyelinating disorders are major causes of lifelong disability and reduced quality of life. Globally, hundreds of thousands of people sustain spinal cord injury each year, and many more live with chronic compressive or inflammatory conditions. Early detection of microstructural cord damage is critical for prognosis, surgical planning, and monitoring therapeutic response[1]. Conventional magnetic resonance imaging (MRI), while indispensable for depicting gross cord morphology and signal changes, often fails to reveal subtle axonal injury or the precise extent of fiber disruption.
Diffusion tensor imaging (DTI) and tractography, which reconstruct the three-dimensional organization of white matter fibers, provide a window into these otherwise invisible changes. By measuring the directionality of water diffusion, DTI quantifies fractional anisotropy (FA) and mean diffusivity (MD), surrogate markers of axonal integrity and extracellular edema. Tractography then integrates these data to render a virtual map of cord tracts, offering the possibility of more accurate diagnosis and individualized management[2-4]. Despite this promise, spinal applications of tractography have lagged behind cranial uses because of long acquisition times, motion artifacts, and the need for specialized post-processing.
In this issue of World Journal of Radiology, Supsupin et al[5] demonstrate that these barriers can be substantially lowered. They incorporated a 2-minute cervical spine DTI sequence into routine MRI and used deterministic tractography with automated topology-informed pruning to evaluate four representative pathologies – cord contusion, metastatic com
Distinct tractographic signatures emerged. In the cord contusion case, FA was reduced at the lesion with preserved MD, consistent with axonal disorganization without widespread necrosis or edema. Metastatic compression produced both decreased FA and elevated MD, reflecting tract disruption and tissue infiltration. Degenerative myelopathy demonstrated visual tract interruption despite relatively preserved FA, illustrating how selective fiber loss or partial-volume effects can mask scalar abnormalities[6]. Finally, demyelinating disease revealed moderate FA reduction with only mild MD elevation, a pattern compatible with localized myelin loss.
These quantitative and qualitative findings provide a more nuanced picture than conventional MRI alone and illustrate how tractography can inform surgical or medical decision-making when conventional images underestimate the severity of fiber injury[7].
The clinical implications are substantial. First, the authors’ ultra-short acquisition, about two minutes added to the MRI exam, addresses one of the main impediments to routine spinal tractography[5]. Second, the combination of rapid acquisition and straightforward deterministic reconstruction supports integration into standard clinical workflows, including preoperative planning for tumor resection or decompressive surgery, and serial follow-up in demyelinating disease. Third, FA and MD measurements derived from the lesion core and adjacent segments may help predict neurological outcomes and guide rehabilitation, paralleling similar applications of brain tractography in stroke and trauma[4,8].
These strengths align with the growing emphasis on precision medicine. Reliable early identification of microstructural injury may allow targeted interventions to prevent secondary degeneration, optimize timing of surgery, and monitor therapeutic efficacy.
Spinal tractography presents unique technical hurdles. The cervical cord’s small cross-section, surrounding cerebrospinal fluid, and frequent patient motion create geometric distortions and lower signal-to-noise ratios. Supsupin et al[5] used a six-direction acquisition, a pragmatic choice for minimizing scan time but one that limits angular resolution and sen
Another challenge is the fundamental limitation of the DTI model, which assumes a single dominant fiber orientation per voxel. This can obscure crossing, merging, or branching fibers. Advanced reconstruction methods such as generalized q-sampling imaging can resolve multiple orientations and may improve anatomic fidelity, though at the price of longer acquisitions and more complex post-processing[10]. Distortion-correction strategies, including reverse phase-encoding and cardiac gating, could further enhance data quality[8].
The work by Supsupin et al[5] dovetails with a growing literature that seeks to translate tractography from research to everyday clinical care. Several groups have shown that FA correlates with neurological impairment and outcome in cervical myelopathy[6] and that diffusion changes can signal disease activity in demyelinating conditions[4]. In neu
Looking ahead, multi-institutional studies with larger, pathologically diverse cohorts will be essential to validate diagnostic accuracy and prognostic value. Integration with surgical navigation systems, machine-learning-based seg
By showing that robust cervical spinal cord tractography can be performed with minimal additional scan time, Supsupin et al[5] provide a practical framework for incorporating diffusion imaging into daily radiological practice. Their rapid DTI protocol delivers actionable insights into microstructural integrity across a spectrum of diseases, bringing us closer to an era where spinal tractography complements conventional MRI as a standard component of precision spinal care.
| 1. | Lu Y, Shang Z, Zhang W, Pang M, Hu X, Dai Y, Shen R, Wu Y, Liu C, Luo T, Wang X, Liu B, Zhang L, Rong L. Global incidence and characteristics of spinal cord injury since 2000-2021: a systematic review and meta-analysis. BMC Med. 2024;22:285. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 52] [Cited by in RCA: 60] [Article Influence: 60.0] [Reference Citation Analysis (0)] |
| 2. | Yamada K, Sakai K, Akazawa K, Yuen S, Nishimura T. MR tractography: a review of its clinical applications. Magn Reson Med Sci. 2009;8:165-174. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 208] [Cited by in RCA: 219] [Article Influence: 14.6] [Reference Citation Analysis (0)] |
| 3. | Wu BW, Barr S. Applications of Whole Brain Tractography and Implications for Clinical Practice. Cureus. 2017;9:e1753. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in RCA: 1] [Reference Citation Analysis (0)] |
| 4. | Costanzo R, Brunasso L, Paolini F, Benigno UE, Porzio M, Giammalva GR, Gerardi RM, Umana GE, di Bonaventura R, Sturiale CL, Visocchi M, Iacopino DG, Maugeri R. Spinal Tractography as a Potential Prognostic Tool in Spinal Cord Injury: A Systematic Review. World Neurosurg. 2022;164:25-32. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 6] [Cited by in RCA: 16] [Article Influence: 5.3] [Reference Citation Analysis (0)] |
| 5. | Supsupin EP, Serrano A, Louviere C, Pearson L, Hernandez M, Sekar V, Amer A, Cikla U, Virarkar M, Gumus KZ. Magnetic resonance tractography of the cervical spine: A rapid diffusion tensor imaging protocol to serve as a clinical evaluation tool. World J Radiol. 2025;17:110267. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Reference Citation Analysis (0)] |
| 6. | Ellingson BM, Salamon N, Hardy AJ, Holly LT. Prediction of Neurological Impairment in Cervical Spondylotic Myelopathy using a Combination of Diffusion MRI and Proton MR Spectroscopy. PLoS One. 2015;10:e0139451. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 31] [Cited by in RCA: 42] [Article Influence: 4.2] [Reference Citation Analysis (0)] |
| 7. | Farquharson S, Tournier JD, Calamante F, Fabinyi G, Schneider-Kolsky M, Jackson GD, Connelly A. White matter fiber tractography: why we need to move beyond DTI. J Neurosurg. 2013;118:1367-1377. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 302] [Cited by in RCA: 328] [Article Influence: 27.3] [Reference Citation Analysis (0)] |
| 8. | Yang JY, Yeh CH, Poupon C, Calamante F. Diffusion MRI tractography for neurosurgery: the basics, current state, technical reliability and challenges. Phys Med Biol. 2021;66. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 7] [Cited by in RCA: 36] [Article Influence: 9.0] [Reference Citation Analysis (0)] |
| 9. | Jin Z, Bao Y, Wang Y, Li Z, Zheng X, Long S, Wang Y. Differences between generalized Q-sampling imaging and diffusion tensor imaging in visualization of crossing neural fibers in the brain. Surg Radiol Anat. 2019;41:1019-1028. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 16] [Cited by in RCA: 26] [Article Influence: 4.3] [Reference Citation Analysis (0)] |
| 10. | Dauleac C, Frindel C, Mertens P, Jacquesson T, Cotton F. Overcoming challenges of the human spinal cord tractography for routine clinical use: a review. Neuroradiology. 2020;62:1079-1094. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 6] [Cited by in RCA: 13] [Article Influence: 2.6] [Reference Citation Analysis (0)] |
