Histogram Analysis Parameters Apparent Diffusion Coefficient for Distinguishing High and Low-Grade Meningiomas: A Multicenter Study |
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Authors: | Alexey Surov Daniel T Ginat Tchoyoson Lim Teresa Cabada Ozdil Baskan Stefan Schob Hans Jonas Meyer Georg Alexander Gihr Diana Horvath-Rizea Gordian Hamerla Karl Titus Hoffmann Andreas Wienke |
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Affiliation: | 2. Department of Diagnostic and Interventional Radiology, University of Leipzig, Germany;3. University of Chicago, Pritzker School of Medicine, Chicago, IL, USA;4. Department of Neuroradiology, National Neuroscience Institute, Singapore;5. Servicio de Radiologia, Hospital de Navarra, Pamplona, Spain;2. Clinic for Neuroradiology, Katharinenhospital Stuttgart, Stuttgart, Germany;12. Institute of Medical Epidemiology, Biostatistics, and Informatics, Martin-Luther University Halle-Wittenberg, Halle, Germany |
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Abstract: | Low grade meningiomas have better prognosis than high grade meningiomas. The aim of this study was to measure apparent diffusion coefficient (ADC) histogram analysis parameters in different meningiomas in a large multicenter sample and to analyze the possibility of several parameters for predicting tumor grade and proliferation potential. Overall, 148 meningiomas from 7 institutions were evaluated in this retrospective study. Grade 1 lesions were diagnosed in 101 (68.2%) cases, grade 2 in 41 (27.7%) patients, and grade 3 in 6 (4.1%) patients. All tumors were investigated by MRI (1.5 T scanner) by using diffusion weighted imaging (b values of 0 and 1000 s/mm2). For every lesion, the following parameters were calculated: mean ADC, maximum ADC, minimum ADC, median ADC, mode ADC, ADC percentiles P10, P25, P75, P90, kurtosis, skewness, and entropy. The comparison of ADC values was performed by Mann–Whitney-U test. Correlation between different ADC parameters and KI 67 was calculated by Spearman's rank correlation coefficient. Grade 2/3 meningiomas showed statistically significant lower ADC histogram analysis parameters in comparison to grade 1 tumors, especially ADC median. A threshold value of 0.82 for ADC median to predict tumor grade was estimated (sensitivity?=?82.2%, specificity?=?63.8%, accuracy?=?76.4%, positive and negative predictive values were 83% and 62.5%, respectively).All ADC parameters except maximum ADC showed weak significant correlations with KI 67, especially ADC P25 (P?=??.340, P?=?.0001). |
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Keywords: | Address all correspondence to: Professor MD Alexey Surov Department of Diagnostic and Interventional Radiology University Hospital of Leipzig Liebigstrasse 20 04103 Leipzig Germany. |
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