Publications by authors named "JingFeng Zhang"

Objective: Currently, Ga-labeled somatostatin analogs (SSAs) are the most commonly used imaging agents for patients with neuroendocrine tumors (NETs) in clinical practice, demonstrating good results in tumor diagnosis. For applications in peptide receptor radionuclide therapy (PRRT), targeted drugs should have high tumor uptake and prolonged tumor retention time. To enhance the uptake and retention of tracers in NETs, our goal is to design a Ga-labeled heterodimer for optimizing pharmacokinetics and assess whether this form is more efficacious than its monomeric equivalents.

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Rationale And Objectives: Effective trauma care in emergency departments necessitates rapid diagnosis by interdisciplinary teams using various medical data. This study constructed a multimodal diagnostic model for abdominal trauma using deep learning on non-contrast computed tomography (CT) and unstructured text data, enhancing the speed and accuracy of solid organ assessments.

Materials And Methods: Data were collected from patients undergoing abdominal CT scans.

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Purpose: Prostate-specific membrane antigen positron emission tomography (PSMA-PET) guided targeted biopsy has shown potential for detecting more prostate cancer (PCa) cases. However, relying exclusively on imaging may risk missing lesions, an issue that could be addressed by incorporating radiation-guided technology. Accordingly, we aimed to develop a novel PSMA radiotracer with a long half-life, [Cu]Cu-DOTA-PSMA-3Q, and evaluate its targeting accuracy.

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Article Synopsis
  • The study aims to create and validate radiomics using 2-[F]fluoro-D-glucose PET/CT parameters to predict the WHO/ISUP grade of clear cell renal cell carcinoma (ccRCC).
  • It involved 209 patients with 214 lesions, dividing them into training (70%) and testing (30%) groups, with multiple SUVmax thresholds analyzed to build clinical and radiomics models.
  • The best predictive model, based on a 40% SUVmax threshold, achieved an AUC of 0.909 in the training group, indicating effective prediction of ccRCC grades.
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Objective: The relationship between a healthy lifestyle and depression in radiology residents remains poorly understood. This study aims to investigate the relationship between a healthy lifestyle and depressive symptoms in radiology residents in a nationwide survey.

Design: Cross-sectional study.

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Article Synopsis
  • This study evaluates how lifestyle factors impact the competency and burnout levels of radiology residents in China, highlighting the unique challenges they face during their training.
  • A nationwide survey gathered responses from 3,666 radiology residents, revealing that better lifestyles—particularly in sleep, exercise, and alcohol consumption—are linked to higher competency levels.
  • The findings indicate that radiology residents experiencing insomnia and low physical activity are at a higher risk for burnout, suggesting improvements in lifestyle could enhance their overall performance and well-being.
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Survival in host macrophages is an effective strategy for pathogenic bacterial transmission and pathogenesis. Our previous study found that viable but non-culturable (VBNC) Cronobacter Sakazakii (C. sakazakii) can survive in macrophages, but its survival mechanism is not clear.

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Background: Competency of health professionals stands as a fundamental element in ensuring the quality of care. Notably, work stress and resilience are found to be associated with competency of health professionals. However, the role of resilience between work stress and competency remains unexplored.

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Article Synopsis
  • * In an experiment with mice, cordycepin treatment significantly reduced signs of colitis, improved overall health, and positively affected gut bacteria composition after a week of administration.
  • * The findings suggest that cordycepin effectively alleviates colitis by promoting a healthy balance between gut microbiota and the immune system's response.
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Background: Vascular invasion is a major risk factor for poor prognosis of liver transplantation (LT) for hepatocellular carcinoma (HCC), and this study aimed to evaluate the feasibility and efficacy of deceased donor LT (DDLT) for the treatment of microvascular invasion (MVI) and segmental portal vein tumor thrombus (PVTT).

Methods: We retrospectively analyzed 141 patients who received DDLT for HCC combined with vascular invasion from January 2016 to December 2023 at Shulan (Hangzhou) Hospital. To assess the risk of vascular invasion associated with the LT prognosis, we evaluated various clinicopathologic variables.

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Objective: Pulmonary tuberculosis (PTB) is a critical challenge worldwide, particularly in China. This study aimed to explore the spatiotemporal transmission patterns and socioeconomic factors of PTB in Dongguan city, China.

Methods/design: An ecological study based on the reported new PTB cases between 2011 and 2020 was conducted in Dongguan city, China.

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The coronavirus disease 2019 (COVID-19) pandemic has highlighted the need for accurate and efficient diagnostic methods. This study aims to improve COVID-19 detection by integrating chest X-ray (CXR) and computerized tomography (CT) images using deep learning techniques, further improving diagnostic accuracy by using a combined imaging approach. The study used two publicly accessible databases, COVID-19 Questionnaires for Understanding the Exposure (COVID-QU-Ex) and Integrated Clinical and Translational Cancer Foundation (iCTCF), containing CXR and CT images, respectively.

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The interaction between microbes and drugs encompasses the sourcing of pharmaceutical compounds, microbial drug degradation, the development of , and the impact of on host drug metabolism and immune modulation. These interactions significantly impact drug efficacy and the evolution of drug resistance. In this study, we propose a novel predictive model, termed GCGACNN.

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Sonodynamic therapy (SDT) relies heavily on the presence of oxygen to induce cell death. Its effectiveness is thus diminished in the hypoxic regions of tumor tissue. To address this issue, the exploration of ultrasound-based synergistic treatment modalities has become a significant research focus.

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Semi-supervised learning (SSL) has been proven beneficial for mitigating the issue of limited labeled data, especially on volumetric medical image segmentation. Unlike previous SSL methods which focus on exploring highly confident pseudo-labels or developing consistency regularization schemes, our empirical findings suggest that differential decoder features emerge naturally when two decoders strive to generate consistent predictions. Based on the observation, we first analyze the treasure of discrepancy in learning towards consistency, under both pseudo-labeling and consistency regularization settings, and subsequently propose a novel SSL method called LeFeD, which learns the feature-level discrepancies obtained from two decoders, by feeding such information as feedback signals to the encoder.

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Purpose: PSMA/PET has been increasingly used to detect PCa, and PSMA/PET-guided biopsy has shown promising results. However, it cannot be confirmed immediately whether the tissues are the targeted area. In this study, we aimed to develop a novel probe, [I]I-PSMA-7.

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The abuse of nitrous oxide (NO) poses a substantial public health challenge. In many countries, including China, regulations governing the utilization and accessibility to NO remain ambiguous, particularly within the food industry. Here, we report a case of a 21-year-old female who presented with symptoms of subacute combined degeneration (SCD) of the spinal cord due to NO abuse.

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Background: The objectives of this study were to assess the safety and efficacy of drug-eluting bead transarterial chemoembolization (DEB-TACE) as neoadjuvant therapy before liver transplantation (LT) for advanced-stage hepatocellular carcinoma (HCC) and to analyze the prognostic factors.

Aim: To determine whether DEB-TACE before LT is superior to LT for advanced-stage HCC.

Methods: A total of 99 individuals diagnosed with advanced HCC were studied retrospectively.

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Article Synopsis
  • Universal lesion detection (ULD) is essential in healthcare for identifying lesions in various organs, but it typically requires high-quality annotated training data, which is often incomplete due to costs and expertise limitations.
  • Current pseudo-label methods aim to improve lesion detection but struggle with inconsistent quality of mined lesions across training iterations.
  • The proposed exploratory-training-based ULD (ET-ULD) method enhances detection reliability by using a teacher-student model that assesses the consistency of mined lesions over time, resulting in a significant performance improvement over existing methods, including a 5.4% boost in Average Precision on the DeepLesion dataset.
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Acute lung injury (ALI) is life-threatening. MicroRNAs (miRNAs) are often abnormally expressed in inflammatory diseases and are closely associated with ALI. This study investigates whether miRNA-206-3p attenuates pyroptosis in ALI and elucidates the underlying molecular mechanisms.

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Pseudomonas aeruginosa (PA), a predominant pathogen in lung infections, poses significant challenges due to its biofilm formation, which is the primary cause of chronic and recalcitrant pulmonary infections. Bacteria within these biofilms exhibit heightened resistance to antibiotics compared to their planktonic counterparts, and their secreted toxins exacerbate lung infections. Diverging from traditional antibacterial therapy for biofilm eradication, this study introduces a novel dry powder inhalation containing muco-inert ciprofloxacin and colistin co-encapsulated liposomes (Cipro-Col-Lips) prepared using ultrasonic spray freeze drying (USFD) technique.

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An organocatalytic enantioselective alkylation of α,α-disubstituted aldehydes with 3-bromooxindoles is reported. Enantioenriched oxindoles with vicinal quaternary stereocenters are accessed by an asymmetric conjugate addition process of branched aldehydes with -azaxylylene intermediates (indol-2-ones). Key to the success of highly diastereo- and enantioselective transformations is the combined use of a triphenylsilyl-protected β-amino alcohol catalyst derived from the spiropyrrolidine scaffold and 3,5-dinitrobenzoic acid.

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This study explored the application of generative pre-trained transformer (GPT) agents based on medical guidelines using large language model (LLM) technology for traumatic brain injury (TBI) rehabilitation-related questions. To assess the effectiveness of multiple agents (GPT-agents) created using GPT-4, a comparison was conducted using direct GPT-4 as the control group (GPT-4). The GPT-agents comprised multiple agents with distinct functions, including "Medical Guideline Classification", "Question Retrieval", "Matching Evaluation", "Intelligent Question Answering (QA)", and "Results Evaluation and Source Citation".

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Superconducting magnets are widely used in nuclear fusion reactors, high-energy particle accelerators, steady-state high magnetic fields, etc. Higher magnetic fields and higher operating temperatures are two application trends. High temperature superconducting (HTS) materials are the only choice for high temperature and high field magnets in the future.

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