A correlation between diffusion kurtosis imaging and the proliferative activity of brain glioma

Tonoyan, A S; Pronin, Igor; Pitshelauri, D I; Шишкина, Л. В.; Фадеева, Л. М.; Pogosbekyan, E L; Захарова, Н. Е.; Шульц, Е. И.; Хачанова, Н. В.; Kornienko, V N; Потапов, А А

doi:10.17116/neiro20157965-14

Cited by 6 publications

(3 citation statements)

References 48 publications

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“…Beppu et al (26) observed a positive correlation between FA and tumor cell density, while Zhao et al (27) reported that MD was negatively correlated with Ki67, which is well known as an index of tumor cell proliferation. Similar evidence also indicates that tumor cell density, which depends on proliferative activity, is positively correlated with FA, but negatively correlated with MD (28,29). Of the different tumor types, an aggressive glioma would be expected to lead to reduced cell organization and higher cell density, thereby restricting water molecule diffusion and further increasing FA but decreasing MD.…”

Section: Discussionmentioning

confidence: 69%

Prediction of Lower Grade Insular Glioma Molecular Pathology Using Diffusion Tensor Imaging Metric-Based Histogram Parameters

Huang

et al. 2021

Front. Oncol.

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ObjectivesTo explore whether a simplified lesion delineation method and a set of diffusion tensor imaging (DTI) metric-based histogram parameters (mean, 25th percentile, 75th percentile, skewness, and kurtosis) are efficient at predicting the molecular pathology status (MGMT methylation, IDH mutation, TERT promoter mutation, and 1p19q codeletion) of lower grade insular gliomas (grades II and III).Methods40 lower grade insular glioma patients in two medical centers underwent preoperative DTI scanning. For each patient, the entire abnormal area in their b-non (b0) image was defined as region of interest (ROI), and a set of histogram parameters were calculated for two DTI metrics, fractional anisotropy (FA) and mean diffusivity (MD). Then, we compared how these DTI metrics varied according to molecular pathology and glioma grade, with their predictive performance individually and jointly assessed using receiver operating characteristic curves. The reliability of the combined prediction was evaluated by the calibration curve and Hosmer and Lemeshow test.ResultsThe mean, 25th percentile, and 75th percentile of FA were associated with glioma grade, while the mean, 25th percentile, 75th percentile, and skewness of both FA and MD predicted IDH mutation. The mean, 25th percentile, and 75th percentile of FA, and all MD histogram parameters significantly distinguished TERT promoter status. Similarly, all MD histogram parameters were associated with 1p19q status. However, none of the parameters analyzed for either metric successfully predicted MGMT methylation. The 25th percentile of FA yielded the highest prediction efficiency for glioma grade, IDH mutation, and TERT promoter mutation, while the 75th percentile of MD gave the best prediction of 1p19q codeletion. The combined prediction could enhance the discrimination of grading, IDH and TERT mutation, and also with a good fitness.ConclusionsOverall, more invasive gliomas showed higher FA and lower MD values. The simplified ROI delineation method presented here based on the combination of appropriate histogram parameters yielded a more practical and efficient approach to predicting molecular pathology in lower grade insular gliomas. This approach could help clinicians to determine the extent of tumor resection required and reduce complications, enabling more precise treatment of insular gliomas in combination with radiotherapy and chemotherapy.

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Section: Discussionmentioning

confidence: 69%

Prediction of Lower Grade Insular Glioma Molecular Pathology Using Diffusion Tensor Imaging Metric-Based Histogram Parameters

Huang

et al. 2021

Front. Oncol.

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“…According to the DK-MRI results, diffusion kurtosis has a good chance to be more sensitive to early pathological changes in brain tissue in comparison with other diffusion parameters, in particular for predicting motor disorders after stroke [1,5,6]. It was noted that diffusion kurtosis characteristics depend on age, therefore, some factors should be taken into account when studying changes in these parameters during the pathological processes [2,3].…”

Section: Methodsmentioning

confidence: 99%

Diffusional Characteristics of Brain Matter after Stroke

et al. 2022

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We analyzed characteristics of diffusion and its kurtosis obtained using diffusion-kurtosis MRI in the hemisphere contralateral to the one affected by acute cerebrovascular accident. Diffusion characteristics in the white and gray matter were compared using analysis of covariance (ANCOVA) in healthy subjects and stroke patients with consideration for the age and sex factors. Significant differences between the groups were revealed for apparent diffusion coefficient and mean kurtosis in the white matter. Age dependence was studied using regression analysis and, according to the results of ANCOVA, this factor was found to be significant for apparent diffusion coefficient and diffusion kurtosis in the white matter. Metrics are proposed that can be used to determine the risk of stroke.

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“…Индекс Ki-67/MIB-1 (Ki-67/MIB-1 LI) -отношение Ki-67-позитивных клеток, то есть находящихся в стадии пролиферации, ко всем клеткам опухоли [13]. Этот показатель является наиболее достоверным и самым распространенным методом оценки митотической активности, коррелирует с клиническим течением опухоли мозга.…”

Section: клинический случайunclassified

Case of Central Neurocytoma

2018

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The aim of studywas to describe a clinical case of central neurocytoma formation and course.Materials and methods.Patient C., 33 years old, admitted to the neurosurgical department of Regional Clinical Hospital with complaints of headache and sleep disturbance that troubled her for 2 months. No chronic diseases were detected. During the stay in the hospital, the patient was carried out a number of examinations: assessment of laboratory parameters in dynamics, magnetic resonance imaging of the brain, examination by specialists (neurologist, neuroophthalmologist).Results.Magnetic resonance imaging of the brain revealed a solid volume cystic formation of the left frontal lobe. Bone plastic trepanation and microsurgical removal of the intracerebral cystic tumor in the left frontal area were performed. Revealed neuroradiological and histological characteristics allowed differentiation of neurocytoma from other histological variants. According to magnetic resonance imaging no tumor growth was observed 5 months after surgery. A course of radiation therapy was conducted.Conclusion.This clinical case presented the peculiarities of the course, diagnosis, surgery and immunohistochemical analysis of patient with central neurocytoma.

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A correlation between diffusion kurtosis imaging and the proliferative activity of brain glioma

Abstract: DKI has good capabilities to detect immunohistochemical changes in gliomas. DKI demonstrated a high sensitivity in detection of microstructural changes in the contralateral normal appearing white matter in patients with brain gliomas.

Cited by 6 publications

References 48 publications

Prediction of Lower Grade Insular Glioma Molecular Pathology Using Diffusion Tensor Imaging Metric-Based Histogram Parameters

Prediction of Lower Grade Insular Glioma Molecular Pathology Using Diffusion Tensor Imaging Metric-Based Histogram Parameters

Diffusional Characteristics of Brain Matter after Stroke

Case of Central Neurocytoma

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