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| http://dx.doi.org/10.1148/rycan.2021209038 | DOI Listing |
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Fully automated segmentation of brain and scalp blood vessels on multi-parametric magnetic resonance imaging using multi-view cascaded networks.
Comput Methods Programs Biomed
January 2025
Medical AI Lab, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518060, China. Electronic address:
Background And Objective: Neurosurgical navigation is a critical element of brain surgery, and accurate segmentation of brain and scalp blood vessels is crucial for surgical planning and treatment. However, conventional methods for segmenting blood vessels based on statistical or thresholding techniques have limitations. In recent years, deep learning-based methods have emerged as a promising solution for blood vessel segmentation, but the segmentation of small blood vessels and scalp blood vessels remains challenging.
View Article and Find Full Text PDF68Ga-Pentixafor PET in Combination With MRI Improves the Differential Diagnosis of Glioblastoma and Primary Central Nervous System Lymphoma.
Clin Nucl Med
January 2025
Department of Hematology, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Purposes: This study aims to investigate the diagnostic performance of combining 68Ga-pentixafor PET with MRI to differentiate primary central nervous system lymphoma (PCNSL) from glioblastoma (GBM), particularly focusing on atypical lymphoma identification.
Patients And Methods: Seventy-one PCNSL and 53 GBM patients who underwent both 68Ga-pentixafor PET/CT and MRI were retrospectively included. We evaluated the quantitative imaging parameters and MRI features of positive lesions, identifying atypical PCNSL by hemorrhage, necrosis, or heterogeneous enhancement.
Nomogram based on the neutrophil-to-lymphocyte ratio and MR diffusion quantitative parameters for predicting Ki67 expression in hepatocellular carcinoma from a prospective study.
Sci Rep
December 2024
Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
This study aimed to establish and validate a multiparameter prediction model for Ki67 expression in hepatocellular carcinoma (HCC) patients while also exploring its potential to predict the one-year recurrence risk. The clinical, pathological, and imaging data of 83 patients with HCC confirmed by postoperative pathology were analyzed, and the patients were randomly divided into a training set (n = 58) and a validation set (n = 25) at a ratio of 7:3. All patients underwent a magnetic resonance imaging (MRI) scan that included multi-b value diffusion-weighted scanning before surgery, and quantitative parameters were obtained via intravoxel incoherent motion (IVIM) and diffusion kurtosis (DKI) models.
View Article and Find Full Text PDFA multi-parametric MRI study on changes in the structure, function, and connectivity of thalamic subregions and their relationship with cognitive impairment in patients with subcortical ischemic vascular disease.
Brain Res
December 2024
Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China. Electronic address:
Introduction: Prior researches have reported abnormal changes of thalamus in patients with subcortical ischemic vascular disease (SIVD), which was usually analyzed as a whole. However, it was currently unclear whether the structure, function and connectivity of thalamic subregions were differentially affected by this disease and affected different cognitive functions.
Methods: This study recruited 30 SIVD patients with cognitive impairment (SIVD-CI), 30 SIVD patients with cognitive unimpaired (SIVD-CU) and 32 normal controls.
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