首页> 美国卫生研究院文献>Journal of Clinical Imaging Science >Normalized Subtraction of Serial Brain Magnetic Resonance Images and Fludeoxyglucose-Positron Emission Tomography Images for Tumor Treatment Monitoring: Case Report and Method Description
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Normalized Subtraction of Serial Brain Magnetic Resonance Images and Fludeoxyglucose-Positron Emission Tomography Images for Tumor Treatment Monitoring: Case Report and Method Description

机译:串行脑磁共振图像和氟氧葡萄糖-正电子发射断层扫描图像的标准化减法用于肿瘤治疗监测:病例报告和方法描述

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摘要

A 60-year-old Caucasian male with a long history of cigarette smoking was diagnosed with epidermal growth factor receptor-mutation negative lung adenocarcinoma. The single cerebral metastasis in the right frontal lobe was treated with stereotactic radiosurgery and systemic chemotherapies. Normalized subtraction (NS) method was used to evaluate the serial brain magnetic resonance (MR) and fludeoxyglucose-positron emission tomography (FDG-PET) findings retrospectively, and the potential benefit of concurrent NS of serial MR images (MRIs) and PET images was demonstrated. MIM 4.1 (MIM Software Inc., Cleveland, OH) was used to co-register MRI with PET data and to perform NS on the serial MRI and PET data. MIM 4.1 provides fully automated alignment of imaging data by maximization of mutual information. Cortical regions distant from the brain lesion were used to adjust for the intensity differences between scans, so the voxel differences in normal brain regions were near zero in the NS images. A difference of 15% or greater in voxel densities was used for both MRI and PET, above or below which a change in MR signal intensity and FDG avidity was considered significant. The use of NS, in this case, allowed for an enhanced correlation of morphologic and functional information, which may have added value in the early treatment monitoring of brain tumors and help distinguish recurrent tumor from postradiation changes.
机译:一名吸烟历史悠久的60岁高加索男性被诊断患有表皮生长因子受体突变阴性肺腺癌。立体定向放射外科手术和全身化学疗法治疗了右额叶的单发脑转移。归一化减法(NS)方法用于回顾性评估串行脑磁共振(MR)和氟氧葡萄糖-正电子发射断层扫描(FDG-PET)的发现,并且串行MR图像(MRIs)和PET图像并发NS的潜在益处为演示。 MIM 4.1(MIM软件公司,俄亥俄州克利夫兰)用于将MRI与PET数据共配准,并对串行MRI和PET数据执行NS。 MIM 4.1通过最大化相互信息来提供影像数据的全自动对齐。远离大脑病变的皮层区域用于调整扫描之间的强度差异,因此在NS图像中正常大脑区域的体素差异接近于零。 MRI和PET的体素密度相差15%或更大,高于或低于此值,则MR信号强度和FDG亲和力的变化被认为是显着的。在这种情况下,使用NS可以增强形态和功能信息的相关性,这可能在脑肿瘤的早期治疗监测中具有附加价值,并有助于区分复发的肿瘤与放射后的变化。

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