BMC Medical Imaging | 2021

Retroperitoneum ganglioneuroma: imaging features and surgical outcomes of 35 cases at a Chinese Institution

 
 
 
 

Abstract


Background The preoperative evaluation is crucial for diagnosis and surgical plan of retroperitoneum ganglioneuroma (GN). In this study, we reviewed a relatively large series of histopathological proved retroperitoneum GN cases, summarized the imaging features and further depicted risk factors of increased surgical blood loss. Methods A total of 35 (18 male, 17 female) patients were retrospectively enrolled from January 2012 to June 2019 at our institution. Among them, 24 patients had undergone CT scans and 19 patients had undergone MR examination before treatment. The clinical and radiological features were analyzed and the relationships between image features and surgical blood loss were evaluated. Results The media age of the involved 35 patients was 40\xa0years (range, 14–66\xa0years). The histological tumor size was 10.12\u2009±\u20094.56\xa0cm for average. Retroperitoneum GN was relatively low density on unenhanced CT images and showed delayed progressive enhancement on enhanced CT and MR images. The whorled sign could be seen in 14 patients. The vessel encasement sign could be found in 17 patients. Univariate analysis revealed maximal tumor size measured on axial image, maximal tumor size measured on coronal image, encasing one or both renal pedicles, encasing the aorta and/or vena cava and whorled sign on MRI showed significant difference between the blood loss\u2009≥\u2009400\xa0ml and blood loss\u2009<\u2009400\xa0ml group. Logistic regression further detected that maximal tumor size measured on axial images (OR: 1.12; 95% CI: 1.02–1.24; P \u2009=\u20090.023) and encasing one or both renal pedicles (OR: 22.39; 95% CI: 1.35–372.99; P \u2009=\u20090.030) were independently correlated with surgical blood loss. Conclusions Preoperative CT and MR imaging analysis was valuable for both diagnosis and surgical risk prediction of retroperitoneum GN.

Volume 21
Pages None
DOI 10.1186/s12880-021-00643-y
Language English
Journal BMC Medical Imaging

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