Xiaodan Li1, Liuji Guo1, Sen Sheng2, Yikai Xu1, Lichao Ma1, Xiang Xiao1, Zhiguang Si1,3, Yanping Chen1, Yuankui Wu4. 1. Department of Medical Imaging, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou Avenue North, Guangzhou, China. 2. Neurology Department, University of Arkansas for Medical Science, Little Rock, AR, USA. 3. Department of Medical Imaging, People's Hospital of Dehong Prefecture, Yunnan, China. 4. Department of Medical Imaging, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou Avenue North, Guangzhou, China. ripleyor@126.com.
Abstract
OBJECTIVES: To increase our understanding of the imaging features of central neurocytoma (CN) and improve the preoperative MRI diagnosis accuracy. METHODS: Preoperative MR images of 30 CNs and another 68 intraventricular non-CN tumours were analysed by one experienced neuroradiologist retrospectively to identify previously reported features and new features of CN. Six blinded radiologists independently reviewed all these MRI images, and scored all characteristic features on a five-point scale. Diagnostic value was assessed by the area under the receiver operating characteristic curve (AUC); sensitivity, specificity and accuracy were also calculated. RESULTS: In addition to the 'scalloping' sign, 'broad-based attachment' sign and 'soap-bubble' sign, three new MRI features of CN were identified, including the 'peripheral cysts' sign, 'fluid-fluid level' sign and the 'gemstone' sign. The scalloping sign showed the highest AUC value (0.82), followed by the peripheral cysts sign (0.75) and broad-based attachment sign (0.75). The scalloping sign exhibited the highest specificity (82%), followed by the fluid-fluid level sign (79%) and gemstone (78%) sign. The broad-based attachment sign (85%) was the most sensitive feature, followed by the soap-bubble sign (84%) and peripheral cysts sign (77%). CONCLUSION: There are six characteristic MRI features that help to improve the preoperative diagnostic accuracy of CN. KEY POINTS: • This study is the largest magnetic resonance imaging (MRI) cohort on central neurocytoma (CN). • Three new features helpful for the diagnosis of CN were reported. • Diagnostic value of six MRI features of CN was preliminarily determined.
OBJECTIVES: To increase our understanding of the imaging features of central neurocytoma (CN) and improve the preoperative MRI diagnosis accuracy. METHODS: Preoperative MR images of 30 CNs and another 68 intraventricular non-CN tumours were analysed by one experienced neuroradiologist retrospectively to identify previously reported features and new features of CN. Six blinded radiologists independently reviewed all these MRI images, and scored all characteristic features on a five-point scale. Diagnostic value was assessed by the area under the receiver operating characteristic curve (AUC); sensitivity, specificity and accuracy were also calculated. RESULTS: In addition to the 'scalloping' sign, 'broad-based attachment' sign and 'soap-bubble' sign, three new MRI features of CN were identified, including the 'peripheral cysts' sign, 'fluid-fluid level' sign and the 'gemstone' sign. The scalloping sign showed the highest AUC value (0.82), followed by the peripheral cysts sign (0.75) and broad-based attachment sign (0.75). The scalloping sign exhibited the highest specificity (82%), followed by the fluid-fluid level sign (79%) and gemstone (78%) sign. The broad-based attachment sign (85%) was the most sensitive feature, followed by the soap-bubble sign (84%) and peripheral cysts sign (77%). CONCLUSION: There are six characteristic MRI features that help to improve the preoperative diagnostic accuracy of CN. KEY POINTS: • This study is the largest magnetic resonance imaging (MRI) cohort on central neurocytoma (CN). • Three new features helpful for the diagnosis of CN were reported. • Diagnostic value of six MRI features of CN was preliminarily determined.
Authors: David N Louis; Arie Perry; Guido Reifenberger; Andreas von Deimling; Dominique Figarella-Branger; Webster K Cavenee; Hiroko Ohgaki; Otmar D Wiestler; Paul Kleihues; David W Ellison Journal: Acta Neuropathol Date: 2016-05-09 Impact factor: 17.088
Authors: A von Deimling; P Kleihues; P Saremaslani; M G Yasargil; O Spoerri; T C Südhof; O D Wiestler Journal: Lab Invest Date: 1991-04 Impact factor: 5.662