Early detection of dopaminergic dysfunction and glymphatic system impairment in Parkinson's disease.

Purpose: This study aimed to assess the glymphatic function and its correlation with clinical characteristics and the loss of dopaminergic neurons in Parkinson's disease (PD) using hybrid positron emission tomography (PET)-magnetic resonance imaging (MRI) combined with diffusion tensor image analysis along the perivascular space (DTI-ALPS), choroid plexus volume (CPV), and enlarged perivascular space (EPVS) volume.

Methods: Twenty-five PD patients and thirty matched healthy controls (HC) participated in the study. All participants underwent F-fluorodopa (F-DOPA) PET-MRI scanning.

Performance of F-FDG PET/MRI and its parameters in staging and neoadjuvant therapy response evaluation in bladder cancer.

F-FDG PET/MRI shows potential efficacy in the diagnosis of bladder cancer (BLCA). However, the performance of F-FDG PET/MRI in staging and neoadjuvant therapy (NAT) response evaluation for BLCA patients remains elusive. Here, we conduct this study to evaluate the performance of F-FDG PET/MRI and its derived parameters for tumor staging and NAT response prediction in BLCA.

Comparative study of bilateral putamen for patients with severe Parkinson's disease detected by H magnetic resonance spectroscopy.

Background: The diagnosis of Parkinson's disease (PD) is challenging because the clinical symptoms overlap with other neurodegenerative diseases. The discovery of reliable biomarkers is highly expected to facilitate clinical diagnosis. Through the analysis of the H magnetic resonance spectroscopy (H-MRS) in the putamen, the purpose of the study was to discuss the possibility of the difference in metabolite concentrations between the left and right putamen as biomarkers for patients with severe PD.

Phantom and clinical evaluation of the effect of a new Bayesian penalized likelihood reconstruction algorithm (HYPER Iterative) on Ga-DOTA-NOC PET/CT image quality.

Background: Bayesian penalized likelihood (BPL) algorithm is an effective way to suppress noise in the process of positron emission tomography (PET) image reconstruction by incorporating a smooth penalty. The strength of the smooth penalty is controlled by the penalization factor. The aim was to investigate the impact of different penalization factors and acquisition times in a new BPL algorithm, HYPER Iterative, on the quality of Ga-DOTA-NOC PET/CT images.

One-Dimensional Deep Low-Rank and Sparse Network for Accelerated MRI.

Deep learning has shown astonishing performance in accelerated magnetic resonance imaging (MRI). Most state-of-the-art deep learning reconstructions adopt the powerful convolutional neural network and perform 2D convolution since many magnetic resonance images or their corresponding k-space are in 2D. In this work, we present a new approach that explores the 1D convolution, making the deep network much easier to be trained and generalized.

Small lesion depiction and quantification accuracy of oncological F-FDG PET/CT with small voxel and Bayesian penalized likelihood reconstruction.

Background: To investigate the influence of small voxel Bayesian penalized likelihood (SVB) reconstruction on small lesion detection compared to ordered subset expectation maximization (OSEM) reconstruction using a clinical trials network (CTN) chest phantom and the patients with F-FDG-avid small lung tumors, and determine the optimal penalty factor for the lesion depiction and quantification.

Methods: The CTN phantom was filled with F solution with a sphere-to-background ratio of 3.81:1.

Dosimetry of Lu-DOTATOC first circle treatment in patients with advanced metastatic neuroendocrine tumors: A pilot study in China.

First cycle dosimetry calculation of Lu-DOTATOC (single activity:1.59-3.49 GBq) was carried out in eight patients with advanced neuroendocrine tumors (NETs) who underwent whole-body planar (0.

Hybrid PET-MRI for early detection of dopaminergic dysfunction and microstructural degradation involved in Parkinson's disease.

Dopamine depletion and microstructural degradation underlie the neurodegenerative processes in Parkinson's disease (PD). To explore early alterations and underlying associations of dopamine and microstructure in PD patients utilizing the hybrid positron emission tomography (PET)-magnetic resonance imaging (MRI). Twenty-five PD patients in early stages and twenty-four matched healthy controls underwent hybrid F-fluorodopa (DOPA) PET-diffusion tensor imaging (DTI) scanning.