Histogram analysis of tensor-valued diffusion MRI in meningiomas: Relation to consistency, histological grade and type
| العنوان: | Histogram analysis of tensor-valued diffusion MRI in meningiomas: Relation to consistency, histological grade and type |
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| المؤلفون: | Jan Brabec, Filip Szczepankiewicz, Finn Lennartsson, Elisabet Englund, Houman Pebdani, Johan Bengzon, Linda Knutsson, Carl-Fredrik Westin, Pia C. Sundgren, Markus Nilsson |
| المصدر: | NeuroImage : Clinical NeuroImage: Clinical, Vol 33, Iss, Pp 102912-(2022) |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | DKI, Diffusion Kurtosis Imaging, dMRI, Diffusion Magnetic Resonance Imaging, Tumor grade, Cognitive Neuroscience, MKA, Anisotropic kurtosis, Computer applications to medicine. Medical informatics, R858-859.7, DTI, Diffusion Tensor Imaging, Tensor-valued diffusion encoding, WHO, World Health Organization, Diffusion MRI, LTE, Linear Tensor Encoding, FLAIR, Fluid-Attenuated Inversion Recovery, Meningeal Neoplasms, Humans, Radiology, Nuclear Medicine and imaging, Type, STE, Spherical Tensor Encoding, RC346-429, STD, Standard Deviation, AUC, Area Under Curve, MKI, Isotropic kurtosis, FA, Fractional Anisotropy, ROC, Receiver Operating Characteristic, ROI, Region of Interest, Regular Article, DWI, Diffusion Weighted Imaging, Diffusion Magnetic Resonance Imaging, Diffusion Tensor Imaging, MD, Mean Diffusivity, Neurology, Anisotropy, Neurology (clinical), Neurology. Diseases of the nervous system, Consistency, Meningioma, ADC, Apparent Diffusion Coefficient, MK, Mean Kurtosis, FOV, Field of View |
| الوصف: | Highlights • Tensor-valued dMRI facilitates prediction of meningioma consistency, grade and type. • Tensor-valued dMRI corroborates findings of diffusion tensor and kurtosis imaging. • MK and MKA is associated with firm and MD with variable meningioma consistency. • Variability of MKI in the vicinity of the tumor is associated with meningioma grade. • MKA 50 and MKI 50 separates psammomatous meningiomas from other meningioma types. Background Preoperative radiological assessment of meningioma characteristics is of value for pre- and post-operative patient management, counselling, and surgical approach. Purpose To investigate whether tensor-valued diffusion MRI can add to the preoperative prediction of meningioma consistency, grade and type. Materials and methods 30 patients with intracranial meningiomas (22 WHO grade I, 8 WHO grade II) underwent MRI prior to surgery. Diffusion MRI was performed with linear and spherical b-tensors with b-values up to 2000 s/mm2. The data were used to estimate mean diffusivity (MD), fractional anisotropy (FA), mean kurtosis (MK) and its components—the anisotropic and isotropic kurtoses (MKA and MKI). Meningioma consistency was estimated for 16 patients during resection based on ultrasonic aspiration intensity, ease of resection with instrumentation or suction. Grade and type were determined by histopathological analysis. The relation between consistency, grade and type and dMRI parameters was analyzed inside the tumor (“whole-tumor”) and within brain tissue in the immediate periphery outside the tumor (“rim”) by histogram analysis. Results Lower 10th percentiles of MK and MKA in the whole-tumor were associated with firm consistency compared with pooled soft and variable consistency (n = 7 vs 9; U test, p = 0.02 for MKA 10 and p = 0.04 for MK10) and lower 10th percentile of MD with variable against soft and firm (n = 5 vs 11; U test, p = 0.02). Higher standard deviation of MKI in the rim was associated with lower grade (n = 22 vs 8; U test, p = 0.04) and in the MKI maps we observed elevated rim-like structure that could be associated with grade. Higher median MKA and lower median MKI distinguished psammomatous type from other pooled meningioma types (n = 5 vs 25; U test; p = 0.03 for MKA 50 and p = 0.03 and p = 0.04 for MKI 50). Conclusion Parameters from tensor-valued dMRI can facilitate prediction of consistency, grade and type. |
| تدمد: | 2213-1582 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da6619aa13198941cb1da15ea05bb31c https://pubmed.ncbi.nlm.nih.gov/34922122 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....da6619aa13198941cb1da15ea05bb31c |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 22131582 |
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