Abstract
Study design
Cross-sectional study.
Objectives
This study investigates changes in spinal DTI metrics above lesion in children with spinal cord injury without fracture or dislocation (SCIWOFD), aiming to assess DTI’s potential as a diagnostic and evaluative tool for SCIWOFD in children.
Setting
Xuanwu Hospital, Capital Medical University, China; Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, China.
Methods
This study included 18 children with SCIWOFD and 12 typically developing (TD) children. SCIWOFD children underwent International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) assessments and MRI with axial spinal cord DTI. DTI data were processed with Diffusion Toolkit and TrackVis, with four levels above the lesion (Level 1 to Level 4). Spinal DTI metrics were extracted, and statistical analysis was performed using multiple linear regression and Pearson correlation.
Results
Compared to the TD group, the SCIWOFD group displayed significant changes in DTI metrics at four spinal cord levels. At level 1, FA decreased (p < 0.000), while MD (p < 0.000), AD (p = 0.007), and RD (p < 0.000) increased. Levels 2 and 3 showed decreased FA (level 2: p < 0.000; level 3: p = 0.001) and increased MD (level 2: p = 0.001; level 3: p = 0.029) and RD values (level 2: p < 0.000; level 3:p = 0.001). At level 4, FA decreased (p < 0.000), while RD increased (p = 0.009). At level 1 in the SCIWOFD group, MD (r = −0.534, p = 0.022) and RD (r = −0.569, p = 0.009) correlated with sensory scores.
Conclusions
Spinal DTI metrics above the lesion in children with SCIWOFD exhibit gradient changes, with a statistically correlation between the DTI metrics at the rostral edge of the lesion and ISNCSCI sensory scores. DTI metrics may serve as stable, objective indicators for assessing SCIWOFD in children.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to the full article PDF.
USD 39.95
Prices may be subject to local taxes which are calculated during checkout



Similar content being viewed by others
Data availability
The datasets generated and/or analyzed during the current study are available from the corresponding authors on request.
References
Anjum A, Yazid MD, Fauzi Daud M, Idris J, Ng AMH, Selvi Naicker A, et al. Spinal cord injury: pathophysiology, multimolecular interactions, and underlying recovery mechanisms. Int J Mol Sci. 2020;21:7533.
Pang D, Wilberger JE. Spinal cord injury without radiographic abnormalities in children. J Neurosurg. 1982;57:114–29.
Liu R, Fan Q, He J, Wu X, Tan W, Yan Z, et al. Clinical characteristics analysis of pediatric spinal cord injury without radiological abnormality in China: a retrospective study. BMC Pediatr. 2024;24:236.
Carroll T, Smith CD, Liu X, Bonaventura B, Mann N, Liu J, et al. Spinal cord injuries without radiologic abnormality in children: a systematic review. Spinal Cord. 2015;53:842–8.
Wang YL, Zeng L, Zhu FZ, Huang GX, Gao Q, Wan YZ, et al. Acute hyperextension spinal cord injury in children: a retrospective study. Chin J Orthop. 2022;42:509–18.
Tian Y, Liu G-E, Zhao W-J, Li L. Spinal cord injury in children caused by back-bend in dance. Chin J Traumatol. 2023;26:1.
Zou Z, Teng A, Huang L, Luo X, Wu X, Zhang H, et al. Pediatric spinal cord injury without radiographic abnormality: the Beijing experience. Spine. 2021;46:E1083.
Konovalov N, Peev N, Zileli M, Sharif S, Kaprovoy S, Timonin S. Pediatric cervical spine injuries and SCIWORA: WFNS spine committee recommendations. Neurospine. 2020;17:797–808.
Guo S, Gong H, Xu P, Xie Y, Yang D, Liu Z, et al. Clinical characteristics and proposed mechanism of pediatric spinal cord injury resulting from backbend practice. Front Pediatr. 2023;11:1263280.
Liu GL, Zhou HJ, Li JJ, Liu HZ. Clinical manifestations and MRI features of pediatric spinal cord injury after back bend. Ch J Rehabil Theory Pract. 2021;27:456–65.
Costanzo R, Brunasso L, Paolini F, Benigno UE, Porzio M, Giammalva GR, et al. Spinal tractography as a potential prognostic tool in spinal cord injury: a systematic review. World Neurosurg. 2022;164:25–32.
Nanda G, Jain P, Suman A, Mahajan H. Role of diffusion tensor imaging and tractography in spinal cord injury. J Clin Orthop Trauma. 2022;33:101997.
Krisa L, Middleton DM, Saksena S, Faro SH, Leiby BE, Mohamed FB, et al. Clinical utility of diffusion tensor imaging as a biomarker to identify microstructural changes in pediatric spinal cord injury. Top Spinal Cord Inj Rehabil. 2022;28:1–12.
Cheran S, Shanmuganathan K, Zhuo J, Mirvis SE, Aarabi B, Alexander MT, et al. Correlation of MR diffusion tensor imaging parameters with ASIA motor scores in hemorrhagic and nonhemorrhagic acute spinal cord injury. J Neurotrauma. 2011;28:1881–92.
Faro SH, Saksena S, Krisa L, Middleton DM, Alizadeh M, Finsterbusch J, et al. DTI of chronic spinal cord injury in children without MRI abnormalities (SCIWOMR) and with pathology on MRI and comparison to severity of motor impairment. Spinal Cord. 2022;60:457–64.
Saksena S, Mohamed FB, Middleton DM, Krisa L, Alizadeh M, Shahrampour S, et al. Diffusion tensor imaging assessment of regional white matter changes in the cervical and thoracic spinal cord in pediatric subjects. J Neurotrauma. 2019;36:853–61.
Vedantam A, Jirjis MB, Schmit BD, Wang MC, Ulmer JL, Kurpad SN. Diffusion tensor imaging of the spinal cord: insights from animal and human studies. Neurosurgery. 2014;74:1–8.
Rupp R, Biering-Sørensen F, Burns SP, Graves DE, Guest J, Jones L, et al. International standards for neurological classification of spinal cord injury. Top Spinal Cord Inj Rehabil. 2021;27:1–22.
Alizadeh M, Intintolo A, Middleton DM, Conklin CJ, Faro SH, Mulcahey MJ, et al. Reduced FOV diffusion tensor MR imaging and fiber tractography of pediatric cervical spinal cord injury. Spinal Cord. 2017;55:314–20.
Noguerol TM, Barousse R, Amrhein TJ, Royuela-del-Val J, Montesinos P, Luna A. Optimizing diffusion-tensor imaging acquisition for spinal cord assessment: physical basis and technical adjustments. Radiographics. 2020;40:403–27.
Tae WS, Ham BJ, Pyun SB, Kang SH, Kim BJ. Current clinical applications of diffusion-tensor imaging in neurological disorders. J Clin Neurol. 2018;14:129–40.
Zaninovich OA, Avila MJ, Kay M, Becker JL, Hurlbert RJ, Martirosyan NL. The role of diffusion tensor imaging in the diagnosis, prognosis, and assessment of recovery and treatment of spinal cord injury: a systematic review. Neurosurg Focus. 2019;46:E7.
Wang Y, Zeng L, Zhu F, Huang G, Wan Y, Yao S, et al. Acute hyperextension myelopathy in children: radiographic predictors of clinical improvement. Spinal Cord. 2022;60:498–503.
Cheng SJ, Tsai PH, Lee YT, Li YT, Chung HW, Chen CY. Diffusion tensor imaging of the spinal cord. Magn Reson Imaging Clin N Am. 2021;29:195–204.
Azzarito M, Seif M, Kyathanahally S, Curt A, Freund P. Tracking the neurodegenerative gradient after spinal cord injury. Neuroimage Clin. 2020;26:102221.
Schading S, David G, Max Emmenegger T, Achim C, Thompson A, Weiskopf N, et al. Dynamics of progressive degeneration of major spinal pathways following spinal cord injury: a longitudinal study. Neuroimage Clin. 2023;37:103339.
Murgoci A-N, Baciak L, Cubinkova V, Smolek T, Tvrdik T, Juranek I, et al. Diffusion tensor imaging: tool for tracking injured spinal cord fibres in rat. Neurochem Res. 2020;45:180–7.
Shabani S, Kaushal M, Budde M, Kurpad SN. Correlation of magnetic resonance diffusion tensor imaging parameters with American spinal injury association score for prognostication and long-term outcomes. Neurosurg Focus. 2019;46:E2.
Cunha NSC, Malvea A, Sadat S, Ibrahim GM, Fehlings MG. Pediatric spinal cord injury: a review. Children. 2023;10:1456.
Mulcahey MJ, Gaughan JP, Chafetz RS, Vogel LC, Samdani AF, Betz RR. Interrater reliability of the international standards for neurological classification of spinal cord injury in youths with chronic spinal cord injury. Arch Phys Med Rehabil. 2011;92:1264–9.
Acknowledgements
The authors thank the patients and healthy volunteers who participated in this study.
Funding
This study was funded by the National Natural Science Foundation of China (Grants Nos. 81871339 and 81271556), the Beijing Municipal Natural Science Foundation (Grant No. 7113155), and the Science Foundation of the Beijing Municipal Commission of Education (Grant No. KM201210025013). The funding organizations had no involvement in the study design, data collection and analysis, decision to publish, or manuscript preparation.
Author information
Authors and Affiliations
Contributions
QQ contributed to the study design, statistical analysis, and drafting of the manuscript. NC was involved in conceptualizing the research, writing the review, and editing the manuscript. LW, BY, YJ, YW, HX, XG, WZ, XC, QC, FL, JD, and JL participated in data collection, extraction, and analysis.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Ethical approval
Ethical approval for this study was granted by the Ethics Committee of Xuanwu Hospital, Capital Medical University (Ethics No: [2020] 003), and the study was registered as a clinical trial (Registration No: ChiCTR2000032793).
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Qi, Q., Wang, L., Yang, B. et al. Using diffusion tensor imaging to assess children with spinal cord injury without fracture or dislocation. Spinal Cord 63, 342–347 (2025). https://doi.org/10.1038/s41393-025-01091-z
Received:
Revised:
Accepted:
Published:
Version of record:
Issue date:
DOI: https://doi.org/10.1038/s41393-025-01091-z


