Association Between Pseudoprogression of Vestibular Schwannoma After Radiosurgery and Radiological Features of Solid and Cystic Components

Author:

Huang Chih-Ying12,Peng Syu-Jyun3,Yang Huai-Che245,Wu Hsiu-Mei12,Chen Ching-Jen6,Wang Mao-Che27,Hu Yong-Sin12,Lin Chung-Jung12,Shiau Cheng-Ying8,Guo Wan-Yuo12,Chung Wen-Yuh259,Pan David Hung-Chi59,Lee Cheng-Chia245ORCID

Affiliation:

1. Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan;

2. School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan;

3. Professional Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan;

4. Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan;

5. Department of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan;

6. Department of Neurosurgery, The University of Texas Health Science Center, Houston, Texas, USA;

7. Department of Otolaryngology-Head and Neck Surgery, Taipei Veterans General Hospital, Taipei, Taiwan;

8. Cancer Center, Taipei Veterans General Hospital, Taipei, Taiwan;

9. Department of Neurosurgery, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan

Abstract

BACKGROUND AND OBJECTIVES: The pathophysiology of vestibular schwannoma (VS) pseudoprogression after Gamma Knife radiosurgery (GKRS) remains unclear. Radiological features in pretreatment magnetic resonance images may help predict VS pseudoprogression. This study used VS radiological features quantified using an automated segmentation algorithm to predict pseudoprogression after GKRS treatment. METHODS: This is a retrospective study comprising 330 patients with VS who received GKRS. After image preprocessing and T2W/contrast-enhanced T1-weighted image (CET1W) image generation, with fuzzy C-means clustering, VSs were segmented into solid and cystic components and classified as solid and cystic. Relevant radiological features were then extracted. The response to GKRS was classified into “nonpseudoprogression” and “pseudoprogression/fluctuation”. The Z test for two proportions was used to compare solid and cystic VS for the likelihood of pseudoprogression/fluctuation. Logistic regression was used to assess the correlation between clinical variables and radiological features and response to GKRS. RESULTS: The likelihood of pseudoprogression/fluctuation after GKRS was significantly higher for solid VS compared with cystic VS (55% vs 31%, P < .001). For the entire VS cohort, multivariable logistic regression revealed that a lower mean tumor signal intensity (SI) in T2W/CET1W images was associated with pseudoprogression/fluctuation after GKRS (P = .001). For the solid VS subgroup, a lower mean tumor SI in T2W/CET1W images (P = .035) was associated with pseudoprogression/fluctuation after GKRS. For the cystic VS subgroup, a lower mean SI of the cystic component in T2W/CET1W images (P = .040) was associated with pseudoprogression/fluctuation after GKRS. CONCLUSION: Pseudoprogression is more likely to occur in solid VS compared with cystic VS. Quantitative radiological features in pretreatment magnetic resonance images were associated with pseudoprogression after GKRS. In T2W/CET1W images, solid VS with a lower mean tumor SI and cystic VS with a lower mean SI of cystic component were more likely to have pseudoprogression after GKRS. These radiological features can help predict the likelihood of pseudoprogression after GKRS.

Funder

Ministry of Science and Technology, Taiwan

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Neurology (clinical),Surgery

全球学者库

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"全球学者库"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前全球学者库共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2023 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3