Papillary Renal Neoplasm With Reverse Polarity: CT and MR Imaging Characteristics in 26 Patients.

Rationale And Objectives: To improve the diagnostic recognition of papillary renal neoplasm with reverse polarity (PRNRP) through comprehensive analysis of computed tomography (CT) and magnetic resonance imaging (MRI) findings.

Materials And Methods: A retrospective multi-center study was conducted on patients with pathologically confirmed PRNRPs from 2019 to 2024, encompassing six institutions. Clinical and pathological data were meticulously documented.

Tailoring Escalation Adjuvant Therapy for Early-Stage Triple-Negative Breast Cancer in the CBCSG010 Clinical Trial Biomarker Analysis.

Background: Triple-negative breast cancer (TNBC) is a highly heterogeneous disease. The CBCSG010 trial is a prospective and multicenter phase III clinical trial confirming that adding adjuvant capecitabine significantly improved the 5-year disease-free survival (DFS) rate in patients with TNBC by 5.9%.

Biodegradable oxygen-evolving metalloantibiotics for spatiotemporal sono-metalloimmunotherapy against orthopaedic biofilm infections.

Pathogen-host competition for manganese and intricate immunostimulatory pathways severely attenuates the efficacy of antibacterial immunotherapy against biofilm infections associated with orthopaedic implants. Herein, we introduce a spatiotemporal sono-metalloimmunotherapy (SMIT) strategy aimed at efficient biofilm ablation by custom design of ingenious biomimetic metal-organic framework (PCN-224)-coated MnO-hydrangea nanoparticles (MnPM) as a metalloantibiotic. Upon reaching the acidic HO-enriched biofilm microenvironment, MnPM can convert abundant HO into oxygen, which is conducive to significantly enhancing the efficacy of ultrasound (US)-triggered sonodynamic therapy (SDT), thereby exposing bacteria-associated antigens (BAAs).

Discrepancies in ASPECTS obtained by artificial intelligence and experts: Associated factors and prognostic implications.

Purpose: The differences between the Alberta Stroke Program Early CT Score (ASPECTS) obtained by experts and artificial intelligence (AI) software require elucidation. We aimed to characterize the discrepancies between the ASPECTS obtained by AI and experts and determine the associated factors and prognostic implications.

Methods: This multicenter, retrospective, observational cohort study included patients showing acute ischemic stroke caused by large-vessel occlusion in the anterior circulation.

Deep Learning-based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Biparametric MRI Datasets.

Purpose To determine whether the unsupervised domain adaptation (UDA) method with generated images improves the performance of a supervised learning (SL) model for prostate cancer (PCa) detection using multisite biparametric (bp) MRI datasets. Materials and Methods This retrospective study included data from 5150 patients (14 191 samples) collected across nine different imaging centers. A novel UDA method using a unified generative model was developed for PCa detection using multisite bpMRI datasets.

Quantification of morpho-hemodynamic changes in unruptured intracranial aneurysms with irregular pulsation during the cardiac cycle using 4D-CTA.

Background And Purpose: Previous studies predicting the rupture risk of intracranial aneurysms (IAs) have predominantly utilized static imaging data, overlooking the dynamic blood flow and biomechanical properties of the aneurysm wall. Irregular pulsation detected by 4D-CTA is a potential predictor of aneurysm rupture, albeit with uncertain clinical significance. This study aimed to analyze the changes in morpho-hemodynamic characteristics of IAs during the cardiac cycle to elucidate the dynamic changes and the associated hemodynamic mechanisms.

Label-free differentiation of pancreatic pathologies from normal pancreas utilizing end-to-end three-dimensional multimodal networks on CT.

Aims: To investigate the utilization of an end-to-end multimodal convolutional model in the rapid and accurate diagnosis of pancreatic diseases using abdominal CT images.

Materials And Methods: In this study, a novel lightweight label-free end-to-end multimodal network (eeMulNet) model was proposed for the rapid and precise diagnosis of abnormal pancreas. The eeMulNet consists of two steps: pancreatic region localization and multimodal CT diagnosis integrating textual and image data.

Epidemiologic features and therapeutic strategies of kerion: A nationwide multicentre study.

Background: Kerion is a severe type of tinea capitis that is difficult to treat and remains a public health problem.

Objectives: To evaluate the epidemiologic features and efficacy of different treatment schemes from real-world experience.

Methods: From 2019 to 2021, 316 patients diagnosed with kerion at 32 tertiary Chinese hospitals were enrolled.

Effect of different oral anticoagulants on cognitive function in patients with atrial fibrillation: A Bayesian network meta-analysis.

Background: Atrial fibrillation (AF) is 1 of the most common types of arrhythmias. At present, the treatment for patients with AF mainly includes oral anticoagulants (OACs). Studies have shown that OACs are associated with cognitive decline in patients with atrial fibrillation; however, there is a lack of relevant evidence.

Relationships between irregular pulsation and variations in morphological characteristics during the cardiac cycle in unruptured intracranial aneurysms by 4D-CTA.

Background And Purpose: Irregular pulsation of the aneurysmal wall has been suggested as a novel predictor for aneurysm rupture. Aneurysm volume variations during the cardiac cycle and the association between irregular pulsation and morphological features have been discussed, but the clinical significance remains unclear. The purpose of this study was to quantify changes in morphological characteristics over the cardiac cycle and examine their correlation with irregular pulsation to facilitate comprehension of aneurysm dynamics.

The magnesium depletion score is associated with increased likelihood of kidney stone disease among female adults.

Object: The association between magnesium depletion score (MDS) and kidney stone disease (KSD) remains unknown. This study was designed to investigate the association of MDS with KSD in adults.

Methods: A total of 19,654 participants were enrolled from the National Health and Nutrition Examination Surveys (NHANES).

Radiomics advances in the evaluation of pancreatic cystic neoplasms.

With the development of medical imaging, the detection rate of pancreatic cystic neoplasms (PCNs) has increased greatly. Serous cystic neoplasm, solid pseudopapillary neoplasm, intraductal papillary mucinous neoplasm and mucinous cystic neoplasm are the main subtypes of PCN, and their treatment options vary greatly due to the different biological behaviours of the tumours. Different from conventional qualitative imaging evaluation, radiomics is a promising noninvasive approach for the diagnosis, classification, and risk stratification of diseases involving high-throughput extraction of medical image features.

Metformin Alleviates Pain States by Regulating the Balance of Spinal Synaptic Transmission.

Background: Metformin has been shown to have potent analgesic effects; however, the underlying mechanism of synaptic plasticity mediating analgesia remained ambiguous.

Methods: In this study, animal behavioral tests, whole-cell patch‑clamp recording, immunofluorescence staining, and network pharmacology techniques were applied to elucidate the mechanisms and potential targets of metformin-induced analgesia.

Results: Single or consecutive injections of metformin significantly inhibited spinal nerve ligation (SNL)-induced neuropathic pain, and formalin-induced acute inflammatory pain.

Automated pancreatic segmentation and fat fraction evaluation based on a self-supervised transfer learning network.

Accurate segmentation of the pancreas from abdominal computed tomography (CT) images is challenging but essential for the diagnosis and treatment of pancreatic disorders such as tumours and diabetes. In this study, a dataset with 229 sets of high-resolution CT images was generated and annotated. We proposed a novel 3D segmentation model named nnTransfer (nonisomorphic transfer learning) net, which employs generative model structure for self-supervision to facilitate the network's learning of image attributes from unlabelled data.

[A phase I study of subcutaneous envafolimab (KN035) monotherapy in Chinese patients with advanced solid tumors].

To evaluate the safety and antitumor activity of envafolimab monotherapy in Chinese patients with advanced solid tumors. This open-label, multicenter phase I trial included dose escalation and dose expansion phases. In the dose escalation phase, patients received subcutaneous 0.

Efficacy and Safety of Ferric Citrate on Hyperphosphatemia among Chinese Patients with Chronic Kidney Disease Undergoing Hemodialysis: A Phase III Multicenter Randomized Open-Label Active-Drug-Controlled Study.

Introduction: Hyperphosphatemia in chronic kidney disease (CKD) patients is positively associated with mortality. Ferric citrate is a potent phosphorus binder that lowers serum phosphorus level and improves iron metabolism. We compared its efficacy and safety with active drugs in Chinese CKD patients with hemodialysis.

YTHDF3as a prognostic predictive biomarker of thyroid cancer and its correlation with immune infiltration.

Purpose: Thyroid cancer (TC) is one of the most common endocrine malignancies, and its morbidity continues to rise. N-methyladenosine (mA) RNA methylation, an epigenetic modification, is an important regulator of gene expression in TC. Therefore, it's worth finding the characteristics and predictive value of the mA RNA methylation regulators in thyroid cancer (TC).