| Title |
Clinical and prognostic features of spinal meningioma: a thorough analysis from a single neurosurgical center
|
|---|---|
| Published in |
Journal of Neuro-Oncology, September 2018
|
| DOI | 10.1007/s11060-018-2993-3 |
| Pubmed ID | |
| Authors |
Lingyang Hua, Hongda Zhu, Jiaojiao Deng, Mi Tian, Xuewei Jiang, Hailiang Tang, Shihai Luan, Hiroaki Wakimoto, Qing Xie, Ye Gong |
| Abstract |
The aim of this study was to thoroughly analyze the clinical characteristics of a large cohort of spinal meningioma (SM) from a single neurological center and identify risk factors associated with worse progression free survival and neurological function outcome. Clinical information was retrieved from 483 SM and 9806 cranial meningioma cases who were operated in our center between 2003 and 2013. 194 SM patients who were followed at the main branch were used for prognostic analyses that included both recurrence free survival and neurological functions based on Modified McCormick scale (MMS). Females were predominant (P < 0.001). High grade tumors were not common (WHO grade II, 2.9%; grade III, 1.7%), while the clear cell subtype was frequent within grade II SMs (6/14, 42.9%). Macroscopic total resection was achieved in all SMs (Simpson grade I, 30.9%; grade II, 65.5%; grade III, 3.6%) with a low complications rate (4.6%) and provided neurological improvement in 80 patients (41.2%). Recurrence was seen in 9 cases (4.6%) and associated with high WHO grade, male, prior recurrence, and Simpson grade III. High WHO grade and high Ki-67 index were identified to be independent factors predictive of both neurological function deterioration and impaired post-operative neurological status. Our analysis of the largest SM cohort in scale from a single institution offers a comprehensive view of the clinical characteristics of surgically treated SM, revealing the distinct biology of SM in comparison to its cranial counterparts, and providing guidance to improve surgical management of SM. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 17% |
| Student > Doctoral Student | 4 | 11% |
| Student > Bachelor | 4 | 11% |
| Researcher | 3 | 9% |
| Other | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 12 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 37% |
| Neuroscience | 4 | 11% |
| Social Sciences | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Engineering | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 15 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 January 2019.
All research outputs
#18,649,291
of 23,103,436 outputs
Outputs from Journal of Neuro-Oncology
#2,268
of 2,994 outputs
Outputs of similar age
#259,246
of 337,668 outputs
Outputs of similar age from Journal of Neuro-Oncology
#35
of 54 outputs
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