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| CT and MRI features of spinal canal ganglioneuroma |
| WANG Tong, ZHANG Jun, WANG Hong-wei, GUO Qi-yong |
| Department of Radiology, Shengjing Hospital of China Medical University, Shenyang 110004, China |
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Abstract Objective: To improve understanding of spinal canal ganglioneuroma by analyzing CT and MRI imaging features. Materials and Methods: We retrospectively analysed CT(17 cases) and MRI (15 cases) imaging features of SGNs in 17 patients that confirmed by surgery and pathology, and then compared with pathological results. Results: Of the 17 SGNs, 15 cases were solitary, including 6 cases of cervical spinal canal, 2 cases of thoracic spinal canal, 1 case of lumbar spinal canal and 6 cases of sacral spinal canal. 4 cases were located in extramedullary subdural, and 11 cases were located in intervertebral foramen. 2 cases were multiple lesions, combined with neurofibromatosis. 2 cases of tumors were round, 4 cases were fusiform, 11 cases were irregular, of which 9 cases across the intervertebral foramen, embedding growth along surrounding tissue. CT scan was slightly low or low density, and 3 cases were scattered in distribution of small dot calcification. MR T1WI showed low signal intensity in 7 cases, iso-low mixed signal in 8 cases and inhomogeneous high signal intensity on 15 cases of T2WI. The contrast enhancement was gradual, slight to moderate strengthening, parts of SGNs had cloud-flocculent, cord-like enhancement, but some cases were consistently no significant enhancement. Conclusion: CT and MR performance of SGN has certain characteristics. Correct and comprehensive understanding of its image performance can increase diagnostic accuracy.
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Received: 05 May 2018
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[1]Pang BC, Lim CCT, Tan KK. Giant spinal ganglioneuroma[J]. J Clin Neurosci, 2005, 12(8): 967-972.
[2]Rha SE, Byun JY, Jung SE, et al. Neurogenic tumors in the abdomen: tumor types and imaging characteristics[J]. Radiographics, 2003, 23(1): 29-43.
[3]Geoerger B, Hero B, Harms D, et al. Metabolic activity and clinical features of primary ganglioneuromas[J]. Cancer, 2001, 91(10): 1905-1913.
[4]Cai J, Zeng Y, Zheng H, et al. Retroperitoneal ganglioneuroma in children: CT and MRI features with histologic correlation[J]. Eur J Radiol, 2010, 75(3): 315-320.
[5]Duffy S, Jhaveri M, Scudierre J, et al. MR imaging of a posterior mediastinal ganglioneuroma: fat as a useful diagnostic sign[J]. Am J Neuroradiol, 2005, 26(10): 2658-2662.
[6]Ando K, Imagama S, Ito Z, et al. Cervical myelopathy caused by bilateral C1-2 dumbbell ganglioneuromas and C2-3 and C3-4 neurofibromas associated with neurofibromatosis type 1[J]. J Orthop Sci, 2014, 19(4): 676-681.
[7]Sobowale O, Ibrahim I, Plessis DD, et al. Dumbbell ganglioneuroma mimicking lumbar neurofibroma: a case report and review of the literature[J]. Br J Neurosurg, 2013, 27(4): 521-523.
[8]周建军，曾维新，周康荣，等. 肾上腺节细胞神经瘤的CT诊断价值[J]. 中华放射学杂志，2006，40（10）：1021-1023.
[9]Shawa H, Elsayes KM, Javadi S, et al. Adrenal ganglioneuroma: features and outcomes of 27 cases at a referral cancer centre[J]. Clin Endocrinol, 2014, 80(3): 342-347.
[10]Linos D, Tsirlis T, Kapralou A, et al. Adrenal ganglioneuromas: incidentalomas with misleading clinical and imaging features[J]. Surgery, 2011, 149(1): 99-105.
[11]Ichikawa T, Ohtomo K, Araki T, et al. Ganglioneuroma: computed tomography and magnetic resonance features[J]. Br J Radiol, 1996, 69(818): 114-121.
[12]Kzlda B, Alar T, Karata O, et al. A case of posterior mediastinal ganglioneuroma: the importance of preoperative multiplanar radiological imaging[J]. Balkan Med J, 2013, 30(1): 126-128.
[13]Guan YB, Zhang WD, Zeng QS, et al. CT and MRI findings of thoracic ganglioneuroma[J]. Br J Radiol, 2012, 85(1016): 365-372.
[14]Kato M, Hara M, Ozawa Y, et al. Computed tomography and magnetic resonance imaging features of posterior mediastinal ganglioneuroma[J]. J Thoracic Imaging, 2012, 27(2): 100-106.
[15]Patronas NJ, Courcoutsakis N, Bromley CM, et al. Intramedullary and Spinal Canal Tumors in Patients with Neurofibromatosis 2: MR Imaging Findings and Correlation with Genotype1[J]. Radiology, 2001, 218(2): 434-442.
[16]Iwata E, Shigematsu H, Yamamoto Y, et al. Preliminary algorithm for differential diagnosis between spinal meningioma and schwannoma using plain magnetic resonance imaging[J]. J Orthop Sci, 2017, 23(2): 408-413. |
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2019, Vol. 30 
