Diffusion tensor imaging with tractography in surgical resection of brainstem cavernous malformations: a systematic review and meta-analysis
- PMID: 37194114
- DOI: 10.1080/00207454.2023.2214696
Diffusion tensor imaging with tractography in surgical resection of brainstem cavernous malformations: a systematic review and meta-analysis
Abstract
Brainstem cavernous malformations are benign subset of cerebral cavernous malformations, which need a special intervention owing to being vital and complex. The diffusion tensor imaging technique, a well-recognized neuroimaging tool, can visualize the white matter tracts and their surroundings and provide promising surgical outcomes. This systematic review and meta-analysis evaluated the effect of preoperative diffusion tensor imaging in patients undergoing surgical resection of brainstem cavernous malformations. Five databases, including PubMed, Scopus, Web of Science, Cochrane Library, and Google Scholar, were searched using a comprehensive search strategy to find any article matching our inclusion criteria. We used Comprehensive Meta-Analysis (CMA) software to analyze the collected data, get the evidence, and report the results as event rate (ER), with their 95% confidence interval (CI). Twenty-eight studies involving 467 patients matched our criteria and 19 studies entered the analysis. Our analysis showed that, in patients undergoing surgical resection of brainstem cavernous malformations assisted by preoperative diffusion tensor imaging, 82.21% achieved total resection. About 12.4% of patients achieved partial resection, 65.65% improved, 8.07% worsened, 25.04% showed no change, 3.59% experienced postoperative re-bleeding, and 0.87% died. The utilization of preoperative diffusion tensor imaging significantly increased the proportion of improved patients and decreased the proportion of worsened patients. However, further controlled research is needed to draw a definite conclusion about the usefulness of its role.
Keywords: Brainstem cavernous malformations; diffusion tensor imaging; meta-analysis; surgery.
Similar articles
-
The utility of preoperative diffusion tensor imaging in the surgical management of brainstem cavernous malformations.J Neurosurg. 2015 Mar;122(3):653-62. doi: 10.3171/2014.11.JNS13680. Epub 2015 Jan 9. J Neurosurg. 2015. PMID: 25574568
-
Surgical outcome of motor deficits and neurological status in brainstem cavernous malformations based on preoperative diffusion tensor imaging: a prospective randomized clinical trial.J Neurosurg. 2019 Jan 1;130(1):286-301. doi: 10.3171/2017.8.JNS17854. Epub 2018 Mar 16. J Neurosurg. 2019. PMID: 29547081 Clinical Trial.
-
The Usefulness of Diffusion Tensor Imaging and Tractography in Surgery of Brainstem Cavernous Malformations.World Neurosurg. 2016 Sep;93:377-88. doi: 10.1016/j.wneu.2016.06.019. Epub 2016 Jun 14. World Neurosurg. 2016. PMID: 27312394
-
Brainstem cavernous malformations: anatomical, clinical, and surgical considerations.Neurosurg Focus. 2010 Sep;29(3):E9. doi: 10.3171/2010.6.FOCUS10133. Neurosurg Focus. 2010. PMID: 20809767 Review.
-
[Surgical treatment of brainstem cavernous malformation].No Shinkei Geka. 2003 Aug;31(8):851-66. No Shinkei Geka. 2003. PMID: 12968489 Review. Japanese. No abstract available.
Cited by
-
Recent novelties in research and management of cerebrospinal cavernous malformations.Acta Neurochir (Wien). 2024 Nov 30;166(1):489. doi: 10.1007/s00701-024-06378-3. Acta Neurochir (Wien). 2024. PMID: 39613863 Free PMC article. Review.
-
Large Pontine Cavernoma with Hemorrhage: Case Report on Surgical Approach and Recovery.J Clin Med. 2025 Mar 29;14(7):2358. doi: 10.3390/jcm14072358. J Clin Med. 2025. PMID: 40217805 Free PMC article.
-
Individualized surgical management of supratentorial hypertensive intracranial hemorrhage: a retrospective study using 3D Slicer and diffusion tensor imaging.BMC Surg. 2025 Jul 4;25(1):284. doi: 10.1186/s12893-025-03008-2. BMC Surg. 2025. PMID: 40611187 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources