Chlamydia psittaci pneumonia - evolutionary aspects on chest CT.

Purpose: To present the different findings of Chlamydia psittaci (C. psittaci) pneumonia on computed tomography (CT) according to the progression of the disease, to improve diagnostic accuracy, guide early clinical diagnosis, evaluate treatment efficacy, and reduce the mortality associated with the disease.

Methods: In total, 80 cases of C.

The correlation between cumulative cigarette consumption and infarction-related coronary spasm in patients with ST-segment elevation acute myocardial infarction across different age groups.

Coronary artery spasm (CAS) is a key contributor to the pathogenesis of acute ST-segment elevation myocardial infarction (STEMI). While smoking is recognized as a major risk factor for CAS, the relationship between cumulative cigarette consumption and infarction-related CAS across different age groups in STEMI patients remains unclear. This study aimed to investigate the correlation between cumulative cigarette consumption and infarction-related CAS across different age groups through a retrospective analysis.

Plasma fibronectin is a prognostic biomarker of disability in Parkinson's disease: a prospective, multicenter cohort study.

In a prospective longitudinal study with 218 Parkinson's disease (PD) patients in the discovery cohort and 84 in the validation cohort, we aimed to identify novel blood biomarkers predicting disability milestones in PD. Through Least Absolute Shrinkage and Selection Operator-Cox (Lasso-Cox) regression, developed nomogram predictive model and Linear mixed-effects models, we identified low level of plasma fibronectin (pFN) as one of the best-performing risk markers in predicting disability milestones. A low level of pFN was associated with a short milestone-free survival period in PD.

Conference 2024: Building an innovative scientific research ecosystem for microbiome and One Health.

The Conference 2024 provides a platform to promote the development of an innovative scientific research ecosystem for microbiome and One Health. The four key components - Technology, Research (Biology), Academic journals, and Social media - form a synergistic ecosystem. Advanced technologies drive biological research, which generates novel insights that are disseminated through academic journals.

The Chinese Society of Clinical Oncology (CSCO): Clinical guidelines for the diagnosis and treatment of colorectal cancer, 2024 update.

The 2024 updates of the Chinese Society of Clinical Oncology (CSCO) Clinical Guidelines for the diagnosis and treatment of colorectal cancer emphasize standardizing cancer treatment in China, highlighting the latest advancements in evidence-based medicine, healthcare resource access, and precision medicine in oncology. These updates address disparities in epidemiological trends, clinicopathological characteristics, tumor biology, treatment approaches, and drug selection for colorectal cancer patients across diverse regions and backgrounds. Key revisions include adjustments to evidence levels for intensive treatment strategies, updates to regimens for deficient mismatch repair (dMMR)/ microsatellite instability-high (MSI-H) patients, proficient mismatch repair (pMMR)/ microsatellite stability (MSS) patients who have failed standard therapies, and rectal cancer patients with low recurrence risk.

A deep learning based smartphone application for early detection of nasopharyngeal carcinoma using endoscopic images.

Nasal endoscopy is crucial for the early detection of nasopharyngeal carcinoma (NPC), but its accuracy relies heavily on the clinician's expertise, posing challenges for primary healthcare providers. Here, we retrospectively analysed 39,340 nasal endoscopic white-light images from three high-incidence NPC centres, utilising eight advanced deep learning models to develop an Internet-enabled smartphone application, "Nose-Keeper", that can be used for early detection of NPC and five prevalent nasal diseases and assessment of healthy individuals. Our app demonstrated a remarkable overall accuracy of 92.

Anatomic association between the gastrocolic trunk of Henle and right colic artery by high-quality CT venography.

In hepatic flexure and transverse colon cancer surgeries, mobilizing the right mesocolon and precisely dissecting the gastrocolic trunk of Henle (GTH) are crucial. Previous classifications of GTH tributaries do not guide radical right hemicolectomy due to post-procedural anatomical acquisition. This study analyzed vessel associations, including the middle colic vein (MCV) converging site, right colic artery (RCA) presence, and other GTH tributaries, using ultra-thin CT for reconstruction.

A new distal radius fracture classification depending on the specific fragments through machine learning clustering method.

Purposes: The objective of this study was to investigate intra-articular distal radius fractures, aiming to provide a comprehensive analysis of fracture patterns and discuss the corresponding treatment strategies for each pattern.

Methods: 294 cases of intra-articular distal radius fractures lines were collected and clustered thorough K-means and hierarchical clustering algorithm. The demographic data of patients and the clinical treatment outcomes were recorded.

Uncovering novel therapeutic clues for hypercoagulable active ulcerative colitis: novel findings from old data.

Background: Hypercoagulability has been shown to act as an important component of ulcerative colitis (UC) pathogenesis and disease activity, and is strongly correlated with the occurrence of venous thromboembolism (VTE). This study aimed at providing novel therapeutic clues for hypercoagulable active UC.

Methods: The coagulation score model was developed using VTE cohorts, and the predictive performance of this model was evaluated by coagulation subtypes of UC patients, which were clustered by the unsupervised method.

Zinc pretreatment for protection against intestinal ischemia-reperfusion injury.

Background: Intestinal ischemiareperfusion (I/R) injury (II/RI) is a critical condition that results in oxidative stress, inflammation, and damage to multiple organs. Zinc, an essential trace element, offers protective benefits in several tissues during I/R injury, but its effects on intestinal II/RI remain unclear.

Aim: To investigate the effects of zinc pretreatment on II/RI and associated multiorgan damage.

Morphological and bone defect mapping analysis of true acetabulum in Crowe type IV hip dysplasia.

Background: The primary aim of this study was to quantitatively analysis the acetabular morphological feature and 2D/3D coverage of the Crowe IV DDH hip, dividing into subgroups by the false acetabulum. The secondary aim was to propose a 3D bone mapping to determine acetabular bone defect analysis from the perspective of the implanted simulation.

Methods: A total of 53 Crowe IV hips (27 hips without the false acetabulum in IVa group and 26 hips in IVb group) and 40 normal hips met the inclusion criteria and were retrospectively evaluated.

Do Risk Factors for HCC Impact the Association of CT/MRI LIRADS Major Features With HCC? An Individual Participant Data Meta-Analysis.

Guidelines suggest the Liver Imaging Reporting and Data System (LI-RADS) may not be applicable for some populations at risk for hepatocellular carcinoma (HCC). However, data assessing the association of HCC risk factors with LI-RADS major features are lacking. To evaluate whether the association between HCC risk factors and each CT/MRI LI-RADS major feature differs among individuals at-risk for HCC.

Self-Adaptive Nanocarriers Overcome Multiple Physiological Barriers to Boosting Chemotherapy of Orthotopic Pancreatic Cancer.

Chemotherapy is the primary treatment option for pancreatic cancer, although nanocarrier-based drug delivery systems often struggle with multiple physiological barriers, limiting their therapeutic efficacy. Here, we developed a pH/reactive oxygen species (ROS) dual-sensitive self-adaptive nanocarrier (DAT) encapsulating camptothecin (CPT), an analog of the pancreatic chemotherapeutic drug irinotecan (CPT-11), to enhance chemotherapy outcomes in orthotopic pancreatic cancer by addressing multiple physiological barriers. The nanocarrier features a peripherally positively charged arginine (Arg) residue on DAT and is masked with an acid-labile 2,3-dimethylmaleic anhydride (DA) to improve circulation time.

Risk stratification based on changes in the standard maximal uptake value on PET/CT and the plasma Epstein‒Barr virus (EBV) DNA status after two cycles of chemotherapy for extranodal NK-/T-cell lymphoma.

Although different types of prognostic indices have been applied in extranodal NK-/T-cell lymphoma (ENKTL), they are based mainly on clinical characteristics before treatment. Moreover, these methods lack early assessment and tumor metabolic parameters. It remains unclear whether changes in the plasma Epstein-Barr virus DNA (EBVDNA) status and SUVmax after two cycles of chemotherapy may predict disease prognosis.

[Identification of osteoid and chondroid matrix mineralization in primary bone tumors using a deep learning fusion model based on CT and clinical features: a multi-center retrospective study].

Methods: We retrospectively collected CT scan data from 276 patients with pathologically confirmed primary bone tumors from 4 medical centers in Guangdong Province between January, 2010 and August, 2021. A convolutional neural network (CNN) was employed as the deep learning architecture. The optimal baseline deep learning model (R-Net) was determined through transfer learning, and an optimized model (S-Net) was obtained through algorithmic improvements.

Exploring Immune-Mediated Brain Function Abnormalities in Systemic Lupus Erythematosus: Neuroimaging Evidence of the Impact of Anti-Ribosomal P Protein Antibodies.

Rationale And Objectives: Neuropsychiatric systemic lupus erythematosus (NPSLE) is one of the most severe complications of systemic lupus erythematosus (SLE), and its early biomarkers and immune mechanisms remain unclear. This study utilizes Resting-State functional magnetic resonance imaging (rs-fMRI) to explore early neuroimaging biomarkers and potential immune mechanisms of brain injury in SLE, with a particular focus on anti-ribosomal P protein antibody (ARPA).

Materials And Methods: A total of 47 SLE patients and 33 healthy controls (HCs) underwent rs-fMRI.

Tumor-Targeted Magnetic Micelles for Magnetic Resonance Imaging, Drug Delivery, and Overcoming Multidrug Resistance.

Nasopharyngeal carcinoma (NPC) is prevalent in Southern China. Unfortunately, current treatments encounter multidrug resistance (MDR). Overexpression of P-glycoprotein (P-gp), resulting in the efflux of chemotherapy drugs, is one of the significant mechanisms causing MDR.

Cost-effectiveness of camrelizumab plus rivoceranib for advanced hepatocellular carcinoma in the context of regional disparities in China.

Objective: To assess the cost-effectiveness of combining camrelizumab with rivoceranib versus sorafenib as initial treatment options for advanced hepatocellular carcinoma (HCC) across different developmental regions in China.

Methods: Utilizing TreeAge Pro and data from the phase III randomized CARES-310 clinical trial, a model based on Markov state transitions was developed. Health state utility values were derived from the CARES-310 trial, and direct medical costs were obtained from relevant literature and local pricing data.

Perioperative immunotherapy plus chemotherapy versus chemotherapy alone for patients with resectable pulmonary lymphoepithelioma-like carcinoma.

Background: Primary pulmonary lymphoepithelioma-like carcinoma (PLELC) is a rare subtype of non-small-cell lung cancer. This study aims to compare the efficacy and safety of perioperative PD-1/PD-L1 inhibitor plus chemotherapy versus chemotherapy alone in stage II-IIIB PLELC patients.

Patients And Methods: This retrospective study included stage II-IIIB PLELC patients.

Detecting white adipose tissue browning in mice with in vivo R∗ mapping at 9.4T MRI.

White adipose tissue (WAT) browning is considered a promising strategy to combat obesity and related metabolic diseases. Currently, fat-water fraction (FWF) has been used as a marker for the loss of lipids associated with WAT browning. However, FWF may not be sensitive to metabolic changes and cannot specifically reflect iron-regulated metabolism during browning.

Deep learning model for automated detection of fresh and old vertebral fractures on thoracolumbar CT.

Purpose: To develop a deep learning system for automatic segmentation of compression fracture vertebral bodies on thoracolumbar CT and differentiate between fresh and old fractures.

Methods: We included patients with thoracolumbar fractures treated at our Hospital South Campus from January 2020 to December 2023, with prospective validation from January to June 2024, and used data from the North Campus from January to December 2023 for external validation. Fresh fractures were defined as back pain lasting less than 4 weeks, with MRI showing bone marrow edema (BME).

First-Line PD-1 Blockade Combined With Chemotherapy for Stage IV Penile Squamous Cell Carcinoma: A Multicenter Retrospective Study.

Background: The purpose of this study was to evaluate the efficacy and safety of PD-1 blockade combined with cisplatin and paclitaxel (TP)-based chemotherapy as first-line treatment for advanced penile squamous cell carcinoma (PSCC).

Patients And Methods: A retrospective review was performed of 32 eligible patients with high-risk stage IV (cN3M0-1) PSCC who received first-line PD-1 blockade combined with TP-based chemotherapy at 5 medical centers (2019-2023). Clinical responses were assessed using RECIST version 1.

Development and validation of a dynamic contrast-enhanced magnetic resonance imaging-based habitat and peritumoral radiomic model to predict axillary lymph node metastasis in patients with breast cancer: a retrospective study.

Background: The heterogeneity within breast cancer and its microenvironment are associated with metastasis. Analyzing distinct tumor subregions using habitat analysis and characterizing the tumor microenvironment through radiomics may be valuable for predicting axillary lymph node metastasis (ALNM) in breast cancer. This study aimed to develop and validate a nomogram for predicting ALNM in breast cancer patients by integrating clinicopathological, intra- or peri-tumoral radiomic, and habitat signatures based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and determine the optimal peritumoral region size for accurate prediction.