Lu Yiping1, Shek Kawai2, Wen Jianbo1, Liu Li3, Geng Daoying4, Yin Bo5. 1. Department of Radiology, Huashan Hospital, Fudan University, 12 Wulumuqi Rd. Middle, Shanghai 200040, China. 2. Department of Radiology, Queen Elizabeth Hospital, 30 Gascoigne Road, King's park, Kowloon, Hong Kong. 3. Department of Radiology, Shanghai Cancer Center, Fudan University, 270 Dongan Road, Shanghai 200000, China. 4. Department of Radiology, Huashan Hospital, Fudan University, 12 Wulumuqi Rd. Middle, Shanghai 200040, China. Electronic address: GengdaoyingGDY@163.com. 5. Department of Radiology, Huashan Hospital, Fudan University, 12 Wulumuqi Rd. Middle, Shanghai 200040, China. Electronic address: yinbo7@163.com.
Abstract
PURPOSE: To prospectively evaluate the usage of intra-voxel incoherent motion (IVIM) magnetic resonance imaging (MRI) parameters in grading and differentiating histological subtypes of meningiomas and in comparing their ability with the traditional diffusion-weighted imaging (DWI) parameter (apparent diffusion coefficient, ADC). METHODS: In this prospective study, 102 participants underwent IVIM MRI and DWI. Traditional DWI and IVIM MRI were performed by using 2 b values (0, 1000s/mm2) and 12 b values (0-3500s/mm2), respectively. Finally, the values of ADC and IVIM parameters were collected from 72 Grade I and 11 Grade II meningiomas. RESULTS: The mean ADC values of Grade II and Grade I meningiomas were 0.909±0.268×10-3mm2/s and 0.905±0.194×10-3mm2/s, respectively, p=0.967. The D values were lower in Grade II meningiomas than in Grade I meningiomas (0.459±0.072×10-3mm2/s vs. 0.524±0.030×10-3mm2/s, respectively, p=0.005). In ROC curves, the cut-off D value that separated Grade II meningiomas from Grade I meningiomas was 0.479×10-3mm2/s with a sensitivity of 90.9% and a specificity of 76.7%. The secretory and angiomatous meningiomas had higher IVIM parameters than the other subtypes (all p<0.05). D* was significantly lower in fibrous meningiomas than in other meningiomas (2.783±1.179×10-3mm2/s vs. 5.125±1.918×10-3mm2/s, p<0.001). D, rD and rf values correlated negatively with Ki-67 index while D* and rD* value had positive relation with Ki-67 values. CONCLUSION: IVIM MRI is a promising technique for distinguishing different grades of meningiomas. Different subtypes of meningiomas have different IVIM features, which may help to treatment decision and prognosis evaluation.
PURPOSE: To prospectively evaluate the usage of intra-voxel incoherent motion (IVIM) magnetic resonance imaging (MRI) parameters in grading and differentiating histological subtypes of meningiomas and in comparing their ability with the traditional diffusion-weighted imaging (DWI) parameter (apparent diffusion coefficient, ADC). METHODS: In this prospective study, 102 participants underwent IVIM MRI and DWI. Traditional DWI and IVIM MRI were performed by using 2 b values (0, 1000s/mm2) and 12 b values (0-3500s/mm2), respectively. Finally, the values of ADC and IVIM parameters were collected from 72 Grade I and 11 Grade II meningiomas. RESULTS: The mean ADC values of Grade II and Grade I meningiomas were 0.909±0.268×10-3mm2/s and 0.905±0.194×10-3mm2/s, respectively, p=0.967. The D values were lower in Grade II meningiomas than in Grade I meningiomas (0.459±0.072×10-3mm2/s vs. 0.524±0.030×10-3mm2/s, respectively, p=0.005). In ROC curves, the cut-off D value that separated Grade II meningiomas from Grade I meningiomas was 0.479×10-3mm2/s with a sensitivity of 90.9% and a specificity of 76.7%. The secretory and angiomatous meningiomas had higher IVIM parameters than the other subtypes (all p<0.05). D* was significantly lower in fibrous meningiomas than in other meningiomas (2.783±1.179×10-3mm2/s vs. 5.125±1.918×10-3mm2/s, p<0.001). D, rD and rf values correlated negatively with Ki-67 index while D* and rD* value had positive relation with Ki-67 values. CONCLUSION: IVIM MRI is a promising technique for distinguishing different grades of meningiomas. Different subtypes of meningiomas have different IVIM features, which may help to treatment decision and prognosis evaluation.
Authors: Shun Zhang; Gloria Chia-Yi Chiang; Jacquelyn Marion Knapp; Christina M Zecca; Diana He; Rohan Ramakrishna; Rajiv S Magge; David J Pisapia; Howard Alan Fine; Apostolos John Tsiouris; Yize Zhao; Linda A Heier; Yi Wang; Ilhami Kovanlikaya Journal: J Neuroradiol Date: 2019-05-25 Impact factor: 3.447