Publications by authors named "Junqiang Lei"
Article Synopsis
- A new method for C-S cross-coupling reactions has been developed, using visible light to promote the reaction without the need for metals, ligands, or photocatalysts.
- The approach utilizes alkyl thiol derivatives and (hetero)aryl halides, resulting in a mild, scalable, and high-yielding process that improves upon traditional methods.
- Mechanistic studies reveal that an electron donor-acceptor (EDA) complex forms, which initiates the C-S bond formation through charge transfer when exposed to visible light.
A robust collagen-targeting MRI peptide contrast agent for imaging of hepatic fibrosis.
Chem Commun (Camb)
October 2024
Article Synopsis
- Researchers developed a new MRI peptide contrast agent called Gd-ICTP.
- This agent is highly selective for type I collagen, which is important for detecting liver fibrosis.
- Gd-ICTP allows for accurate and non-invasive imaging, improving the diagnosis of hepatic fibrosis.
Article Synopsis
- - The article discusses the retraction of a previous publication that proposed a new MRI contrast agent aimed at improving imaging of liver fibrosis using collagen-targeting peptides.
- - The retraction was prompted by concerns regarding the validity of the methodology and results presented in the original research.
- - Authors and publishers emphasize the importance of scientific integrity and transparency in the research community.
Article Synopsis
- - The study investigated MRI features to identify and differentiate the morphological and functional abnormalities associated with Parkinson's disease (PD) compared to normal aging changes in healthy individuals.
- - Participants included 32 PD patients, 42 age-matched healthy controls (HCg1), and 33 younger controls (HCg2), with a focus on assessing cortical volume and brain connectivity.
- - Results showed reduced cortical volumes in the frontal lobe and temporal lobe for HCg1 compared to HCg2, while PD patients didn't have significant volume differences from HCg1 but displayed lower connectivity, highlighting distinct changes caused by PD versus age-related changes.
Article Synopsis
- - The study assessed the CARE-Radiology checklist's reliability and usability for evaluating radiological case reports, aiming to encourage its wider use and improvement.
- - Ten case reports from 2020 were reviewed by 26 experts from 10 different countries, measuring the checklist's effectiveness using statistical methods like Fleiss' Kappa and Cronbach's alpha.
- - Results showed moderate reliability, with a mean compliance rate of 61.8% for checklist items, and while most evaluators found it easy to use, certain areas need feedback for future enhancements.
Article Synopsis
- A systematic review was conducted to evaluate how effective machine learning (ML)-based radiomics is in predicting IDH mutations in glioma patients by analyzing articles from several major databases.
- The review included 14 studies with a total of 1,740 patients, revealing that ML had a high area under the curve (AUC) of 0.90, indicating strong diagnostic accuracy.
- Key factors influencing the diagnostic capability were found to include the modeling methods used, the grade of glioma, and whether the model integrated MRI and clinical data.
Article Synopsis
- - The study investigates the use of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) radiomics to predict lymphovascular invasion (LVI) in invasive breast cancer patients, focusing on features from different phases of DCE-MRI.
- - A retrospective analysis of 173 breast cancer patients was conducted, with data split into training and validation sets, leading to the creation of models based on various MRI phases and a combined multiphases radiomics nomogram for assessing LVI risk.
- - Key predictors identified included axillary lymph node status and Ki-67 levels, with various models evaluated for predictive performance using statistical methods including receiver operating characteristic (ROC) curves and decision curve analysis (DCA).
Article Synopsis
- * The research included 11 studies with 1,702 participants and identified 13 CMR parameters linked to AR prognosis, focusing specifically on four key metrics: aortic regurgitation fraction (ARF), aortic regurgitation volume (ARV), and left ventricular volumes (LVEDV and LVESV).
- * Findings suggest that ARF, LVEDV, and LVESV are significant indicators of prognosis in AR patients, making it crucial
Article Synopsis
- * MRI-PDFF is a non-invasive imaging technique that quantitatively assesses fat content in the liver, showing potential for diagnosing and studying MASLD.
- * The paper reviews the progress and applications of MRI-PDFF in MASLD, evaluating its advantages, challenges, and future implications for clinical use.
Article Synopsis
- Organic synthesis using visible light is becoming more popular among synthetic chemists due to its advantages.
- Reactions using EDA (excited-state electron donor-acceptor) complexes avoid the need for toxic or costly photoredox catalysts typically required in traditional photoreactions.
- Density functional theory (DFT) was used to investigate EDA complexes of substituted 1-indole and benzyl bromide, leading to a comparison of different substituent effects and the prediction of a new EDA complex.
Article Synopsis
- * Surgical options are currently the only curative treatments, but most patients relapse within five years, with microvascular invasion (MVI) being a crucial factor linked to survival outcomes.
- * Accurate preoperative prediction of MVI is essential for better treatment decisions, yet there are no standard criteria for diagnosing MVI, leading to ongoing research in imaging techniques to improve accuracy and outcomes.
Article Synopsis
- This study explored using advanced dual-layer spectral CT imaging to predict microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC).
- It analyzed data from 50 HCC patients, focusing on differences in clinical and radiological factors between those with MVI and those without, finding several significant predictors.
- The results indicated that normalized iodine concentration (NIC) at 40 keV images was particularly effective in distinguishing between the two groups, providing valuable information for clinical decision-making and prognosis.
Article Synopsis
- - This meta-analysis assessed how effective computed tomography (CT) is at diagnosing gastroesophageal varices (GEVs) in patients with cirrhosis, using data from 28 studies compared against endoscopy confirmations.
- - Results showed a pooled sensitivity of 0.91 and specificity of 0.81 for any GEV, while high-risk GEVs had even better values, indicating that CT scans are quite accurate for identifying these conditions, especially for esophageal varices over gastric ones.
- - The findings support further research to determine the best size cut-offs for varices to improve clinical practices in managing cirrhosis patients, given the promising accuracy of CT in detecting these potentially severe complications.
Article Synopsis
- The study focuses on Vessels encapsulating tumor clusters (VETC) in hepatocellular carcinoma (HCC), which indicate a poor prognosis, and aims to create a nomogram model that predicts these patterns based on preoperative CT scans.
- Researchers analyzed data from 84 patients who had surgical resections, identifying key predictors of VETC patterns through logistic regression, and developed a nomogram model that achieved a prediction accuracy (AUC) of 0.767.
- The study found that certain factors like AST/ALT ratio, intratumoral necrosis, and the presence of an enhancing capsule were significant predictors of VETC patterns, while CK19 status, number of tumors, and VETC patterns
Article Synopsis
- - This study investigates how accurately ultrasound imaging-based radiomics can predict early responses to neoadjuvant chemotherapy in breast cancer patients.
- - Researchers analyzed eight eligible studies and found that the average quality of these studies was relatively low, but the pooled diagnostic metrics indicated promising sensitivity (87%) and specificity (78%) for this method.
- - The authors conclude that while ultrasound-based radiomics could be a valuable tool for evaluating treatment responses, more high-quality, multicenter research is needed to validate these results.
Article Synopsis
- Vessels encapsulating tumor clusters (VETC) in hepatocellular carcinoma (HCC) are linked to worse patient outcomes, and this study aims to predict this pattern using preoperative Gd-EOB-DTPA MRI imaging.
- The study evaluated 98 HCC patients and identified three key predictors of VETC: peritumoral hypointensity on the hepatobiliary phase, low tumor-to-liver signal intensity ratio, and low tumor-to-liver apparent diffusion coefficient ratio.
- A nomogram was created from these predictors, achieving moderate accuracy, and both VETC pattern and Barcelona Clinic Liver Cancer stage were shown to significantly affect recurrence-free survival after surgery.
Article Synopsis
- In patients with chronic aortic regurgitation, traditional measures of heart function like left ventricular ejection fraction can overlook early dysfunction, making global longitudinal strain (GLS) and tissue motion annular displacement (TMAD) useful for assessment.
- This study compared the effectiveness of TMAD and GLS in evaluating left ventricular function, involving 96 patients with severe aortic regurgitation and 45 healthy individuals, using advanced imaging techniques.
- Results showed that TMAD provided more consistent and quicker assessments compared to GLS, with the global Midpt% parameter being highly correlated with GLS and LVEF, suggesting it could be a reliable alternative in clinical settings.
Article Synopsis
- The study investigates the role of gray matter (GM) atrophy and white matter (WM) lesions in cognitive decline among patients who experienced delayed neurological sequelae (DNS) after carbon monoxide poisoning.
- Researchers analyzed GM volume, cortical thickness, and WM lesions in 33 dementia patients, 24 with mild cognitive impairment, and 51 healthy controls, finding significant GM atrophy in both patient groups compared to controls.
- The findings suggest that the atrophy in GM and the presence of WM lesions contribute to cognitive decline, with the default mode network and other cognitive networks being particularly affected.
Article Synopsis
- Studies indicate that vessels encapsulating tumor clusters (VETC) can predict the prognosis for patients with hepatocellular carcinoma (HCC).
- A meta-analysis of thirteen studies involving 4429 patients found that VETC is significantly linked to worse overall survival (OS) and tumor efficacy (TE), with specific hazard ratios indicating higher risks of recurrence.
- The findings support VETC as a valuable prognostic indicator for HCC patients, suggesting that those with VETC have lower survival rates and higher recurrence risks.
Article Synopsis
- There is a lack of standardized methodology for writing and reporting radiological case reports, despite their increasing numbers.
- A multidisciplinary team of 40 experts developed the CARE-radiology reporting guideline, influenced by the CARE statement and quality enhancement methodologies.
- After a thorough review and a Delphi survey, the final checklist consists of 38 items across 16 domains, aimed at improving the quality and completeness of radiological case reports.
Article Synopsis
- The study aimed to assess how well an automatic breast volume scanner (ABVS) and various clinical and serological data can predict HER2 status in breast cancer patients, with a focus on combining these data sources for better accuracy.
- Researchers included 271 patients with invasive breast cancer, creating training, validation, and test sets to evaluate different predictive models based on ABVS radiomics features and clinical information.
- The weighted combination model outperformed single data source models in predicting HER2 status, achieving higher accuracy metrics, particularly in the validation set where it had the best area under the curve (AUC) of 0.826, indicating improved predictive performance.
Article Synopsis
- * The study utilized density functional theory (DFT) to analyze molecular interactions, UV-Vis spectra, bond lengths, and other properties of these dyes.
- * Differences in luminescence and energy gaps between Cy5.5 and Cy7.5 were linked to the length of the conjugated chains between their aromatic rings, providing insights for future dye modifications and applications.