Abstract
Objectives Consistency of meningioma is important for preoperative planning, surgical resection,
and predicting surgical outcomes. We prospectively evaluated the utility of the apparent
diffusion coefficient (ADC) values to assess the consistency of meningioma.
Methods Preoperative magnetic resonance imaging (MRI) was performed on 23 patients with meningioma
before undergoing surgical resection and the average/mean of ADC minimum (ADCmin), maximum (ADCmax), and mean (ADCmean) values were calculated. Intraoperatively, the meningiomas were characterized as
firm or soft and correlated with ADC values.
Results ADCmin, ADCmax, and ADCmean values of soft and firm meningiomas were significantly different with a p-value of < 0.05. ADCmin value of < 691.3 × 10−6 mm2/s had 80% sensitivity and 84.6% specificity for identifying firm from the soft tumors
with the area under the curve (AUC) = 0.862, p-value of 0.004, positive predictive value (PPV) 80, and negative predictive value
(NPV) 84.6. ADCmax value of < 933.6 × 10−6 mm2/s had 70% sensitivity and 84.6% specificity for identifying firm from the soft tumors
with AUC = 0.823, p-value of 0.009, PPV 77.8, and NPV 78.6. ADCmean value of < 840.8 × 10−6 mm2/s had 90% sensitivity and 76.9% specificity for identifying firm from the soft tumors
with AUC = 0.900, p-value of 0.001, PPV 75, and NPV 90.9.
Conclusion Diffusion-weighted MRI using ADC minimum, ADC maximum, and ADC mean values can be
used to differentiate firm from soft meningiomas. Meningiomas with hard consistency
showed relatively low ADC values.
Keywords
meningioma - ADC - surgery - intracranial
