Publications by authors named "Kang Fei"

Recycling of spent lithium-ion batteries has attracted worldwide attention to ensure sustainability of electric vehicle industry. Pretreatment as an essential step for recycling of spent LIBs is critical to ensure the recovery efficiency and quality of black mass which is used for further materials regeneration. Usually, high temperature pyrolysis, at around 600 °C is required during the pretreatment to achieve effective separation of the black mass that is binding on aluminium foils with polyvinylidene fluoride binder.

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Lung cancer is the leading cause of cancer-related deaths globally. Despite recent improvements in incidence and mortality rates, the prognosis of lung cancer remains dire.F-FDG PET/CT plays a vital role in diagnosing, staging, and monitoring the therapeutic efficacy of lung cancer.

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Background: Identifying patients likely to regain consciousness early on is a challenge. The assessment of consciousness levels and the prediction of wakefulness probabilities are facilitated by F-fluorodeoxyglucose (F-FDG) positron emission tomography (PET). This study aimed to develop a prognostic model for predicting 1-year postinjury outcomes in prolonged disorders of consciousness (DoC) using F-FDG PET alongside clinical behavioral scores.

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  • Underwater crack detection is challenging due to the difficulty in collecting sufficient quality images in complex and hazardous underwater environments.
  • This study introduces a new image-processing method that combines a novel white balance technique with bilateral filtering to convert underwater crack images into high-quality above-water images while preserving original crack features.
  • The proposed method, when used with an improved YOLOv9-OREPA model, shows significant improvements in crack detection performance and evaluation metrics compared to existing methods, making it a promising approach for identifying underwater cracks in structures like dams.
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Zinc transporter 8 (ZnT8) is highly expressed in pancreatic beta cells, localizes to insulin secretory granules (ISG), and regulates zinc content. ZnT8 gene polymorphisms have revealed a relationship between ZnT8 activity and type 2 diabetes (T2D) risk, however, the role of beta-cell ZnT8 is not well understood. A beta cell specific ZnT8 knockout (ZnT8 BKO) mouse model was investigated.

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Over the past decade, [Ga]Ga-FAPI-04 positron emission tomography (PET)/CT imaging has been widely used for the treatment of various tumors. However, the application of TC-labeled fibroblast activation protein inhibitors in tumors has been less studied. Our team previously demonstrated the safe biological distribution of [Tc]Tc-DP-FAPI in the human body.

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Purpose: An MRI-based risk calculator (RC) has been recommended for diagnosing clinically significant prostate cancer (csPCa). PSMA PET/CT can detect lesions that are not visible on MRI, and the addition of PSMA PET/CT to MRI may improve diagnostic performance. The aim of this study was to incorporate the PRIMARY score or SUVmax derived from [Ga]Ga-PSMA-11 PET/CT into the RC and compare these models with MRI-based RC to assess whether this can further reduce unnecessary biopsies.

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  • - Tau interacts with α-Synuclein (α-Syn) and is found in Lewy bodies, affecting the spread of α-Syn pathology related to Parkinson's disease, though the connection from gut to brain is not fully clear.
  • - Research with transgenic mouse models shows that both α-Syn and Tau pathology can spread from the gut into the brain, leading to notable behavioral defects, particularly in mice with both proteins.
  • - Interventions like truncal vagotomy and the absence of α-Syn significantly reduce the spread of these pathologies, while PET imaging successfully identifies α-Syn aggregates in both the gut and brain.
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Background: Radioactive iodine (RAI) therapy is a widely used treatment for Graves' Hyperthyroidism (GH). However, various factors can impact the non-remission rate of GH after single RAI therapy. This study aimed to develop an online dynamic nomogram to assist physicians in providing personalized therapy for GH.

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Purpose: Respiratory motion (RM) significantly impacts image quality in thoracoabdominal PET/CT imaging. This study introduces a unified data-driven respiratory motion correction (uRMC) method, utilizing deep learning neural networks, to solve all the major issues caused by RM, i.e.

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Introduction: There remains a critical need for precise localization of the epileptogenic foci in individuals with drug-resistant epilepsy (DRE). F-Fluorodeoxyglucose positron emission tomography (FDG-PET) imaging can reveal hypometabolic regions during the interval between seizures in patients with epilepsy. However, visual-based qualitative analysis is time-consuming and strongly influenced by physician experience.

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A 59-year-old woman underwent radical surgery and chemotherapy for gastric adenocarcinoma. After the personalized antigen peptide tumor vaccine, a new nodular lesion, in the upper abdomen, was discovered during 68 Ga-FAPI-04 PET/MRI follow-up. To determine possible pseudoprogression, 68 Ga-FAPI-04 PET/MRI was repeated 39 days later, referring to immune PET response criteria in solid tumors.

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  • Brain PET imaging is affected by head motion (HM), leading to artifacts and lower image quality, which are critical for effective diagnosis and treatment planning.
  • United Imaging Healthcare's NeuroFocus algorithm uses a statistics-based approach to automatically detect and correct HM without the need for manual adjustments, aiming to enhance image clarity.
  • In a study involving 317 patients, the validation showed that the HMC significantly reduced image discrepancies caused by HM, improving resolution and aiding in disease detection while minimizing the need for repeat scans.
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Aims: The patient being minimally conscious state (MCS) may benefit from wake-up interventions aimed at improving quality of life and have a higher probability of recovering higher level of consciousness compared to patients with the unresponsive wakefulness syndrome (UWS). However, differentiation of the MCS and UWS poses challenge in clinical practice. This study aimed to explore glucose metabolic pattern (GMP) obtained from F-labeled-fluorodeoxyglucose positron emission tomography (F-FDG-PET) in distinguishing between UWS and MCS.

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This research aimed to construct a clinical model for forecasting the likelihood of lung metastases in differentiated thyroid carcinoma (DTC) with intermediate- to high-risk. In this study, 375 DTC patients at intermediate to high risk were included. They were randomly divided into a training set (70%) and a validation set (30%).

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Radiopharmaceuticals play a critical role in nuclear medicine, providing novel tools for specifically delivering radioisotopes for the diagnosis and treatment of cancers. As the starting point for developing radiopharmaceuticals, cancer-specific biomarkers are important and receive worldwide attention. This field in China is currently experiencing a rapid expansion, with multiple radiotracers targeting novel targets being developed and translated into clinical studies.

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Melanin is one of the representative biomarkers of malignant melanoma and a potential target for diagnosis and therapy. With advancements in chemistry and radiolabeling technologies, promising strides have been made to synthesize radiolabeled melanin-binding molecules for various applications. We present an overview of melanin-targeted radiolabeled molecules and compare their features reported in preclinical studies.

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Nuclear medicine in China started in 1956 and, with the rapid development of the economy and continuous breakthroughs in precision medicine, has made significant progress in recent years. Almost 13,000 staff members in nearly 1,200 hospitals serve more than 3.9 million patients each year.

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  • Quinoline-based fibroblast activation protein inhibitors (FAPIs) are gaining attention in nuclear medicine for their potential in both cancer treatment and diagnosing non-cancer diseases.
  • The review explores the progress of FAPI tracers in China, detailing their transition from preliminary research to clinical applications while highlighting their effectiveness in detecting common cancers.
  • Additionally, the review evaluates the role of FAPI PET in managing cancers and other medical conditions, aiming to inform future research directions in this area.
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Introduction: Osteoarthritis (OA) is a devastating whole-joint disease affecting a large population worldwide; the role of lipid dysregulation in OA and mechanisms underlying targeted therapy effect of lipid-lowering metformin on OA remains poorly defined.

Objectives: To investigate the effects of lipid dysregulation on OA progression and to explore lipid dysregulation-targeting OA treatment of metformin.

Methods: RNA-Seq data, biochemical, and histochemical assays in human and murine OA cartilage as well as primary chondrocytes were utilized to determine lipid dysregulation.

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  • Chemoradiation combinations are increasingly used in clinical practices, but they face challenges due to the differing action speeds of chemotherapy and radiotherapy.
  • A new system called CV-Au NVs, made from gold nanoparticles and loaded with drugs cisplatin and veliparib, aims to enhance this combination therapy by controlling drug release with radiation.
  • In studies, this system showed effective tumor growth inhibition in lung cancer models, suggesting it may improve future chemoradiation therapies by synchronizing drug delivery with radiation.
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In recent years, researchers have become focused on the relationship between lipids and bone metabolism balance. Moreover, many diseases related to lipid metabolism disorders, such as nonalcoholic fatty liver disease, atherosclerosis, obesity, and menopause, are associated with osteoporotic phenotypes. It has been clinically observed in humans that these lipid metabolism disorders promote changes in osteoporosis-related indicators bone mineral density and bone mass.

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Objective: There is currently no non-invasive examination that can fully determine the diagnosis of osteomyelitis. SPECT/CT tomographic fusion imaging can provide both local metabolic activity and anatomical information to determine the condition and location. This study evaluates the diagnostic efficacy of Tc-MDP SPECT/CT in bone infections, compared to MRI.

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Objective: This study utilized a data-driven Bayesian model to automatically identify distinct latent disease factors represented by overlapping glucose metabolism patterns from F-Fluorodeoxyglucose PET (F-FDG PET) to analyze heterogeneity among patients with TLE.

Methods: We employed unsupervised machine learning to estimate latent disease factors from F-FDG PET scans, representing whole-brain glucose metabolism patterns in seventy patients with TLE. We estimated the extent to which multiple distinct factors were expressed within each participant and analyzed their relevance to epilepsy burden, including seizure onset, duration, and frequency.

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The uMI Panorama is a novel PET/CT system using silicon photomultiplier and application-specific integrated circuit technologies and providing exceptional spatial and time-of-flight (TOF) resolutions. The objective of this study was to assess the physical performance of the uMI Panorama in accordance with the National Electrical Manufacturers Association (NEMA) NU 2-2018 standard. Spatial resolution, sensitivity, count rate performance, accuracy, image quality, and TOF resolution were evaluated in accordance with the guidelines outlined in the NEMA NU 2-2018 standard.

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