Early detection of human glioma sphere xenografts in mouse brain using diffusion MRI at 14.1 T.
نویسندگان
چکیده
Glioma models have provided important insights into human brain cancers. Among the investigative tools, MRI has allowed their characterization and diagnosis. In this study, we investigated whether diffusion MRI might be a useful technique for early detection and characterization of slow-growing and diffuse infiltrative gliomas, such as the proposed new models, LN-2669GS and LN-2540GS glioma sphere xenografts. Tumours grown in these models are not visible in conventional T2 -weighted or contrast-enhanced T1 -weighted MRI at 14.1 T. Diffusion-weighted imaging and diffusion tensor imaging protocols were optimized for contrast by exploring long diffusion times sensitive for probing the microstructural alterations induced in the normal brain by the slow infiltration of glioma sphere cells. Compared with T2 -weighted images, tumours were properly identified in their early stage of growth using diffusion MRI, and confirmed by localized proton MR spectroscopy as well as immunohistochemistry. The first evidence of tumour presence was revealed for both glioma sphere xenograft models three months after tumour implantation, while no necrosis, oedema or haemorrhage were detected either by MRI or by histology. Moreover, different values of diffusion indices, such as mean diffusivity and fractional anisotropy, were obtained in tumours grown from LN-2669GS and LN-2540GS glioma sphere lines. These observations highlighted diverse tumour microstructures for both xenograft models, which were reflected in histology. This study demonstrates the ability of diffusion MRI techniques to identify and investigate early stages of slow-growing, invasive tumours in the mouse brain, thus providing a potential imaging biomarker for early detection of tumours in humans.
منابع مشابه
A Two-Dimensional Convolutional Neural Network for Brain Tumor Detection From MRI
Aims: Cancerous brain tumors are among the most dangerous diseases that lower the quality of life of people for many years. Their detection in the early stages paves the way for the proper treatment. The present study aimed to present a two-dimensional Convolutional Neural Network (CNN) for detecting brain tumors under Magnetic Resonance Imaging (MRI) using the deep learning method. Methods & ...
متن کاملAutomatic segmentation of glioma tumors from BraTS 2018 challenge dataset using a 2D U-Net network
Background: Glioma is the most common primary brain tumor, and early detection of tumors is important in the treatment planning for the patient. The precise segmentation of the tumor and intratumoral areas on the MRI by a radiologist is the first step in the diagnosis, which, in addition to the consuming time, can also receive different diagnoses from different physicians. The aim of this study...
متن کاملAn Efficient Framework for Accurate Arterial Input Selection in DSC-MRI of Glioma Brain Tumors
Introduction: Automatic arterial input function (AIF) selection has an essential role in quantification of cerebral perfusion parameters. The purpose of this study is to develop an optimal automatic method for AIF determination in dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) of glioma brain tumors by using a new preprocessing method.Material and Methods: For this study, ...
متن کاملHuman cytomegalovirus infection in tumor specimens of Iranian patients with glioma
Human cytomegalovirus (HCMV) causes persistent infection in humans and severe diseases in fetus andimmunocompromised individuals. Although HCMV is not currently implicated in human cancer, emerging evidence suggests that HCMV infection might be specifically associated with some human malignancies including glioma. Glioma is one of the most common brain tumors affecting children and adults. In t...
متن کاملThe Utility of Diffusion Weighted Magnetic Resonance Imaging in Detection of the Origin of the Brain Solid Metastatic Tumors
Background: Early diagnosis of brain tumors has significant effect on the treatment process. Brain metastatic tumors are usually diagnosed following the neurological symptoms in patients or incidentally after Computerized Tomography (CT) scan and Magnetic Resonance Imaging (MRI) requests of the brain. Objectives: Implementation of a new method for being informed about the origin of brain tumors...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- NMR in biomedicine
دوره 29 11 شماره
صفحات -
تاریخ انتشار 2016