Correlation Engine 2.0
Clear Search sequence regions


Sizes of these terms reflect their relevance to your search.

To investigate the predictive value of the "soap bubble" sign on molecular subtypes (Group A [PFA] and Group B [PFB]) of posterior fossa ependymomas (PF-EPNs). MRI scans of 227 PF-EPNs (internal retrospective discovery set) were evaluated by two independent neuroradiologists to assess the "soap bubble" sign, which was defined as clusters of cysts of various sizes that look like "soap bubbles" on T2-weighted images. Two independent cohorts (external validation set [n = 31] and prospective validation set [n = 27]) were collected to validate the "soap bubble" sign. Across three datasets, the "soap bubble" sign was observed in 21 PFB cases (7.4% [21/285] of PF-EPNs and 12.9% [21/163] of PFB); none in PFA. Analysis of the internal retrospective discovery set demonstrated substantial interrater agreement (1st Rating: κ = 0.71 [0.53-0.90], 2nd Rating: κ = 0.83 [0.68-0.98]) and intrarater agreement (Rater 1: κ = 0.73 [0.55-0.91], Rater 2: κ = 0.74 [0.55-0.92]) for the "soap bubble" sign; all 13 cases positive for the "soap bubble" sign were PFB (p = 0.002; positive predictive value [PPV] = 100%, negative predictive value [NPV] = 44%, sensitivity = 10%, specificity = 100%). The findings from the external validation set and the prospective validation set were similar, all cases positive for the "soap bubble" sign were PFB (p < 0.001; PPV = 100%). The "soap bubble" sign represents a highly specific imaging marker for the PFB molecular subtype of PF-EPNs. © 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Citation

Ying Jin, Dan Cheng, Yunyun Duan, Zhizheng Zhuo, Jinyuan Weng, Chengzhou Zhang, Mingwang Zhu, Xing Liu, Jiang Du, Tiantian Hua, Hongfang Li, Sven Haller, Frederik Barkhof, Yaou Liu. Soap bubble" sign as an imaging marker for posterior fossa ependymoma Group B. Neuroradiology. 2023 Dec;65(12):1707-1714

Expand section icon Mesh Tags

Expand section icon Substances


PMID: 37837480

View Full Text