Literature DB >> 30610981

Prediction of Recurrence in Parasagittal and Parafalcine Meningiomas: Added Value of Diffusion-Weighted Magnetic Resonance Imaging.

Ching-Chung Ko1, Tai-Yuan Chen2, Sher-Wei Lim3, Yu-Ting Kuo4, Te-Chang Wu5, Jeon-Hor Chen6.   

Abstract

BACKGROUND: Parasagittal and parafalcine (PSPF) meningiomas recur more frequently than other intracranial meningiomas owing to the difficulty in achieving gross total resection. The present study investigated the preoperative magnetic resonance imaging (MRI) features for the prediction of progression/recurrence (P/R) in benign PSPF meningiomas with an emphasis on the apparent diffusion coefficient (ADC) values.
METHODS: We retrospectively investigated the preoperative MRI features for the prediction of P/R in benign (World Health Organization grade I) PSPF meningiomas. Only patients who had undergone preoperative and postoperative MRI follow-up studies for ≥1 year were included. From October 2006 to December 2015, 48 patients with a diagnosis of benign PSPF meningioma were included (median follow-up period, 42.5 months). Of these 48 patients, 12 (25%) developed P/R (median time to P/R, 23 months).
RESULTS: PSPF meningiomas in male patients, subtotal resection, large tumor diameter, high diffusion-weighted imaging signal, and lower ADC values or ratios were significantly associated with P/R (P < 0.05). The cutoff points of the ADC value and ADC ratio for the prediction of P/R were 0.83 × 10-3 mm2/second and 0.99, with an area under the curve of 0.82 and 0.83, respectively (P = 0.001). On multivariate Cox proportional hazards analysis, male sex and low ADC values (<0.83 × 10-3 mm2/second) were high-risk factors for P/R, with a hazard ratio of 12.37 and 30.2, respectively (P < 0.05). Kaplan-Meier analysis showed that lower ADC values and ratios predicted for significantly shorter progression-free survival (P < 0.05).
CONCLUSIONS: The preoperative ADC values and ratios for the prediction of P/R offer additional valuable information for the treatment planning for PSPF meningiomas.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  ADC; DWI; Meningioma; Parafalcine; Parasagittal; Recurrence

Year:  2019        PMID: 30610981     DOI: 10.1016/j.wneu.2018.12.117

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  4 in total

1.  Evaluation of Magnetic Resonance Imaging for Microsurgical Efficacy and Relapse of Rolandic Meningioma.

Authors:  Peng Cao; Nianhua Wang
Journal:  Comput Intell Neurosci       Date:  2022-06-06

2.  Pre-operative MRI Radiomics for the Prediction of Progression and Recurrence in Meningiomas.

Authors:  Ching-Chung Ko; Yang Zhang; Jeon-Hor Chen; Kai-Ting Chang; Tai-Yuan Chen; Sher-Wei Lim; Te-Chang Wu; Min-Ying Su
Journal:  Front Neurol       Date:  2021-05-14       Impact factor: 4.003

3.  Machine Learning for Prediction of Recurrence in Parasagittal and Parafalcine Meningiomas: Combined Clinical and MRI Texture Features.

Authors:  Hsun-Ping Hsieh; Ding-You Wu; Kuo-Chuan Hung; Sher-Wei Lim; Tai-Yuan Chen; Yang Fan-Chiang; Ching-Chung Ko
Journal:  J Pers Med       Date:  2022-03-24

4.  Radiomics approach for prediction of recurrence in skull base meningiomas.

Authors:  Yang Zhang; Jeon-Hor Chen; Tai-Yuan Chen; Sher-Wei Lim; Te-Chang Wu; Yu-Ting Kuo; Ching-Chung Ko; Min-Ying Su
Journal:  Neuroradiology       Date:  2019-07-19       Impact factor: 2.804

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.