MRI-Based Topology Deep Learning Model for Noninvasive Prediction of Microvascular Invasion and Assisting Prognostic Stratification in HCC.

Background & Aims: Microvascular invasion (MVI) is associated with poor prognosis in hepatocellular carcinoma (HCC). Topology may improve the predictive performance and interpretability of deep learning (DL). We aimed to develop and externally validate an MRI-based topology DL model for preoperative prediction of MVI.

The Mediating Role of Meaning-Making in the Relationship Between Mental Time Travel and Positive Emotions in Stress-Related Blogs: Big Data Text Analysis Research.

Background: Given the ubiquity of stress, a key focus of stress research is exploring how to better coexist with stress.

Objective: This study conducted text analysis on stress-related Weibo posts using a web crawler to investigate whether these posts contained positive emotions, as well as elements of mental time travel and meaning-making. A mediation model of mental time travel, meaning-making, and positive emotions was constructed to examine whether meaning-making triggered by mental time travel can foster positive emotions under stress.

Prediction of Pathologic Response in Unresectable Hepatocellular Carcinoma After Downstaging with Locoregional and Systemic Combination Therapy.

Background: The combination of locoregional and systemic therapy may achieve remarkable tumor response for unresectable hepatocellular carcinoma (HCC).

Objective: We aimed to investigate the correlation between radiologic and pathologic responses following combination therapy, evaluate their prognostic values, and to establish a non-invasive prediction system for pathologic response.

Methods: This single-center retrospective study included 112 consecutive patients with HCC who underwent locoregional and systemic combination therapy followed by liver resection or transplantation.

Cynanchum wallichii Wight and CW1 reversed docetaxel resistance effects by inhibiting P-gp and promoting PI3K/Akt-mediated apoptosis in prostate cancer.

Cynanchum wallichii (CW) is a traditional Chinese medicine which is widely used for treating arthrophlogosis, traumatic injury, and other conditions. Herein, we investigate the effects and mechanisms of CW and its bioactive constituent CW1 in reversing docetaxel (DTX) resistance in prostate cancer (PCa) cells. We investigated the reversal effects of CW and its bioactive constituent CW1 on 22Rv1/DTX cells in vitro and in vivo.

High-entropy alloys catalyzing polymeric transformation of water pollutants with remarkably improved electron utilization efficiency.

High-entropy alloy nanoparticles (HEA-NPs) exhibit favorable properties in catalytic processes, as their multi-metallic sites ensure both high intrinsic activity and atomic efficiency. However, controlled synthesis of uniform multi-metallic ensembles at the atomic level remains challenging. This study successfully loads HEA-NPs onto a nitrogen-doped carbon carrier (HEAs) and pioneers the application in peroxymonosulfate (PMS) activation to drive Fenton-like oxidation.

Tris(2-chloroethyl) Phosphate Leads to Unbalanced Circulating Erythrocyte in Mice by Activating both Medullary and Extramedullary Erythropoiesis.

Tris(2-chloroethyl) phosphate (TCEP), a prevalent organophosphorus flame retardant, has been identified in various environmental matrices and human blood samples, provoking alarm regarding its hematological toxicity, a subject that has not been thoroughly investigated. Red blood cells (RBCs), or erythrocytes, are the predominant cell type in peripheral blood and are crucial for the maintenance of physiological health. This investigation employed oral gavage to examine the effects of TCEP exposure on erythrocyte counts in mice and to clarify the underlying mechanisms.

The clinical applications of dual-layer spectral detector CT in digestive system diseases.

Objective: Dual-layer spectral detector CT (DLCT) has several advantages in clinical practice, this study aims to reveal the clinical applications of DLCT in digestive system diseases.

Materials And Methods: We searched PubMed and Cochrane Reviews for articles published from January 1, 2010 to May 31, 2024, using the terms "dual-layer spectral detector CT" or "dual-layer CT" combined with "hepatic fat" or "hepatic fibrosis" "hepatocellular carcinoma" or "pancreatic ductal adenocarcinoma" or "pancreatic neuroendocrine tumors" or "gastric cancer" or "colorectal cancer" or "Crohn's disease" or "bowel ischemia" or "acute abdominal conditions".

Results: DLCT consists of a top layer sensitive to lower-energy photons and a bottom layer sensitive to higher-energy photons.

Fully automated MRI-based convolutional neural network for noninvasive diagnosis of cirrhosis.

Objectives: To develop and externally validate a fully automated diagnostic convolutional neural network (CNN) model for cirrhosis based on liver MRI and serum biomarkers.

Methods: This multicenter retrospective study included consecutive patients receiving pathological evaluation of liver fibrosis stage and contrast-enhanced liver MRI between March 2010 and January 2024. On the training dataset, an MRI-based CNN model was constructed for cirrhosis against pathology, and then a combined model was developed integrating the CNN model and serum biomarkers.

Value of the Stretched Exponential and Fractional-order Model in Differentiating Hepatocellular from Intrahepatic Cholangiocarcinoma.

Background: It remains unknown whether the parameters obtained using the Stretched Exponential Model (SEM) and Fractional Order Calculus (FROC) models can help distinguish Hepatocellular Carcinoma (HCC) from Intrahepatic Cholangiocarcinoma (ICC).

Objective: This study aimed to evaluate the application value of the parameters of the 3.0T Magnetic Resonance Imaging (MRI) high-order SEM and FROC diffusion model in differentiating HCC and ICC.

Computed Tomography and Magnetic Resonance Imaging in Liver Iron Overload: From Precise Quantification to Prognosis Assessment.

Liver iron overload is associated with conditions such as hereditary hemochromatosis, thalassemia major, and chronic liver diseases. The liver-related outcomes, patient outcomes, and treatment recommendations of these patients differ depending on the cause and extent of iron overload. Accurate quantification of the liver iron concentration (LIC) is critical for effective patient management.

Matching Is Best: Enhancing Effects of Future Orientation and Construal Level on Green Consumption.

The 2024 Report on the Work of the Chinese Government promotes trade in consumer goods and green consumption. Therefore, better understanding is needed of consumer attitudes and behaviors toward environmental protection and sustainable development. The relationships among future orientation, construal level, and green consumption were explored using a delayed-effect design to conduct two surveys at one-month intervals with 160 participants (100 women and 60 men).

Prognostic Implications of MRI-assessed Intratumoral Fat in Hepatocellular Carcinoma: An Asian and European Cohort Study.

Background The clinicopathologic-radiologic and prognostic characteristics of intratumoral fat in hepatocellular carcinoma (HCC) are critical for personalized treatment but remain understudied. Purpose To investigate the clinicopathologic-radiologic associations and prognostic implications of MRI-assessed intratumoral fat in HCCs. Materials and Methods This retrospective cohort study included consecutive adult patients who underwent resection for solitary HCCs and preoperative contrast-enhanced MRI from two tertiary-care hospitals in East Asia (March 2011 to December 2021) and Western Europe (September 2012 to December 2019).

Selective degradation of sulfonamide antibiotics by peracetic acid alone: Direct oxidation and radical mechanisms.

In this study, a peracetic acid (PAA) alone process was systematically demonstrated to give a high efficiency in the selective degradation of sulfonamide antibiotics (SAs). The employment of scavengers and probe compounds in this process demonstrates the predominant role of PAA in direct oxidation, and the limited role of carbon-centered radicals (R-O) in the degradation of representative SA, sulfamethazine (SMT). The process also exhibits high tolerance towards solution pH and competing anions in wastewater, indicating its applicability in enhancing the biodegradation of SAs in wastewater.

Kinetics and mechanisms of non-radically and radically induced degradation of bisphenol A in a peroxymonosulfate-chloride system.

Bisphenol A, a hazardous endocrine disruptor, poses significant environmental and human health threats, demanding efficient removal approaches. Traditional biological methods struggle to treat BPA wastewater with high chloride (Cl) levels due to the toxicity of high Cl to microorganisms. While persulfate-based advanced oxidation processes (PS-AOPs) have shown promise in removing BPA from high Cl wastewater, their widespread application is always limited by the high energy and chemical usage costs.

Procrastination in the Intention-Behaviour gap: Exercise procrastination and the moderating role of emotion.

Health behaviour procrastination is closely associated with the intention-behaviour gap. However, research on health behaviour procrastination has tended to focus on bedtime procrastination, with relatively few studies on exercise procrastination. This research examined the relationship between exercise procrastination and the intention-behaviour gap through three studies.

Apparent diffusion coefficient and tissue stiffness are associated with different tumor microenvironment features of hepatocellular carcinoma.

Objectives: To investigate associations between tissue diffusion, stiffness, and different tumor microenvironment features in resected hepatocellular carcinoma (HCC).

Methods: Seventy-two patients were prospectively included for preoperative magnetic resonance (MR) diffusion-weighted imaging and MR elastography examination. The mean apparent diffusion coefficient (ADC) and stiffness value were measured on the central three slices of the tumor and peri-tumor area.

MRI radiomics based on deep learning automated segmentation to predict early recurrence of hepatocellular carcinoma.

Objectives: To investigate the utility of deep learning (DL) automated segmentation-based MRI radiomic features and clinical-radiological characteristics in predicting early recurrence after curative resection of single hepatocellular carcinoma (HCC).

Methods: This single-center, retrospective study included consecutive patients with surgically proven HCC who underwent contrast-enhanced MRI before curative hepatectomy from December 2009 to December 2021. Using 3D U-net-based DL algorithms, automated segmentation of the liver and HCC was performed on six MRI sequences.

Working-Together Normative Appeals to Promote Pro-Environmental Donations.

Investigating the role of social norms in fostering pro-environmental behaviors is crucial for advancing human efforts toward environmental protection. This study employed a one-way, two-level, between-participants experimental design, focusing on the type of social norm as the independent variable and pro-environmental donations as the dependent variable. This study aimed to explore the impact of working-together normative appeals on pro-environmental donations and to understand the underlying mediating mechanism.