The value of diffusion-weighted imaging in the natural history of meningiomas: a predictor of tumor growth

Author:

Zhang Rufei1,Wang Zongmeng1,Zheng Hui1,Chen Xiaodan2,Chen Hu3,Song Yang4,Liu Zijian5,Xue Yunjing16,Lin Lin16

Affiliation:

1. Departments of Radiology and

2. Department of Radiology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China;

3. Pathology, Fujian Medical University Union Hospital, Fuzhou, China;

4. Siemens Healthineers Ltd., Shanghai, China;

5. Fujian Medical University, Fuzhou, China; and

6. School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, China

Abstract

OBJECTIVE The general trend in meningioma treatment is shifting from surgery to active surveillance. However, the natural history of meningioma still needs to be clarified, and a simple, practical method is needed to identify fast-growing tumors. The authors aimed to determine whether diffusion-weighted imaging (DWI) could be a valuable imaging modality for predicting meningioma growth. METHODS Consecutive asymptomatic patients with a meningioma diagnosed on MRI and followed up at the authors’ institution between July 2011 and July 2019 were eligible for inclusion in this retrospective study. Univariable and multivariable Cox regression analyses were used to explore whether the relative apparent diffusion coefficient (rADC) was an independent predictor of meningioma growth. Correlations between tumor growth rate (TGR), tumor volume doubling time (VDT), Ki-67, and rADC were assessed using the Pearson correlation coefficient. The predictive ability of rADC was evaluated using receiver operating characteristic (ROC) curves and validated with internal validation data. RESULTS Sixty-four patients (47 females, 17 males) with a mean age of 62.2 ± 1.4 years were included in this study. Univariable and multivariable analyses revealed that rADC was an independent predictor of meningioma growth (p < 0.05). ROC curve analysis showed that baseline rADC had good predictive power for growing meningiomas (AUC = 0.88, 95% CI 0.78–0.96), as well as slow- or fast-growing meningiomas (AUC = 0.83, 95% CI 0.59–0.98). Moreover, rADC still had a good ability to discriminate between growing and nongrowing meningiomas in the validation set (AUC = 0.85, 95% CI 0.64–1.00). In the 20 patients with tumor growth, baseline rADC was moderately negatively correlated with TGR (r = −0.50, p = 0.02) and strongly positively correlated with VDT (r = 0.63, p = 0.003). Moreover, Ki-67 was significantly associated with rADC in 8 patients who had undergone surgery (r = −0.75, p = 0.03). CONCLUSIONS In asymptomatic meningiomas, the lower the rADC at baseline, the faster the TGR and the shorter the VDT. DWI could be a valuable tool in predicting meningioma growth in asymptomatic patients.

Publisher

Journal of Neurosurgery Publishing Group (JNSPG)

Subject

Genetics,Animal Science and Zoology

Reference38 articles.

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