Local salient location-aware anomaly mask synthesis for pulmonary disease anomaly detection and lesion localization in CT images.

Automated pulmonary anomaly detection using computed tomography (CT) examinations is important for the early warning of pulmonary diseases and can support clinical diagnosis and decision-making. Most training of existing pulmonary disease detection and lesion segmentation models requires expert annotations, which is time-consuming and labour-intensive, and struggles to generalize across atypical diseases. In contrast, unsupervised anomaly detection alleviates the demand for dataset annotation and is more generalizable than supervised methods in detecting rare pathologies.

Prognostic significance of total metabolic tumor volume on baseline 18F-FDG PET/CT in patients with lung adenocarcinoma: further stratification of the ninth edition of TNM staging subgroups.

Background: This study aimed to investigate the prognostic value of baseline total metabolic tumor volume (TMTV) on 18F-fluorodeoxyglucose positron emission tomography/computed tomography and its potential for further stratification within the ninth tumor-node-metastasis (TNM) staging system in patients with lung adenocarcinoma (LUAD).

Methods: A cohort of 384 patients with LUAD who had undergone pretreatment PET/CT were included in this retrospective study. The optimal cutoff value for TMTV was determined through analysis of time-dependent receiver operating characteristic curves.

Case Report: Fatal atrioesophageal fistula following atrial fibrillation ablation-critical reflections on prevention.

Radiofrequency ablation (RFA) is an important therapeutic modality for atrial fibrillation (AF), widely utilized in clinical practice due to its safety and significant efficacy. However, post-procedural complications may arise, influenced by anatomical positioning and the intensity of ablation energy, with atrioesophageal fistula (AEF) being particularly rare yet severe. This case report describes a unique instance of a patient developing AEF following AF ablation, accompanied by ischemic stroke and myocardial infarction.

Mechanistic Insights into Loop Dynamics in Reshaping the Conformation of YB-1 Cold Shock Domain.

The human Y-box binding protein 1 (YB-1) plays a crucial role in various cellular processes. The cold shock domain (CSD) of YB-1 is responsible for specific nucleic acid recognition and exhibits a unique β-barrel structure. While the CSD alone is unstable, the addition of 11 residues at the C-terminus significantly stabilizes the structure.

Hyperbolic Geometry-Driven Robustness Enhancement for Rare Skin Disease Diagnosis.

The automated diagnosis of rare skin diseases using dermoscopy images, known as a few-shot learning (FSL) problem, remains challenging, since traditional FSL research tends to disregard the intrinsic hierarchical nature of rare diseases and data uncertainty. To address these issues, we propose to conduct rare skin disease diagnosis in hyperbolic space, which facilitates implicit class hierarchical structures and precise uncertainty measurement due to pivotal geometrical properties. We propose a Hyperbolic Geometry-driven Robustness Enhancement (HGRE) framework specifically tailored for diagnosing rare skin diseases.

Comparison of Cu-DOTA-PSMA-3Q and Cu-NOTA-PSMA-3Q utilizing NOTA and DOTA as bifunctional chelators in prostate cancer: preclinical assessment and preliminary clinical PET/CT imaging.

Objective: This study aims to investigate the efficacy and safety of prostate-specific membrane antigen (PSMA) radiolabeled with copper-64 (Cu) using the bifunctional chelating agents (BFCAs) NOTA (1,4,7-triazacyclononane-1,4,7-triacetic acid) and DOTA (1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid). As widely utilized BFCAs in the development of radiopharmaceuticals, NOTA and DOTA play a critical role in ensuring stable chelation with Cu. This study evaluates the stability, bioavailability, and therapeutic potential of these radiolabeled compounds in preclinical models and initial clinical trials.

Preclinical Study of a Dual-Target Molecular Probe Labeled with Ga Targeting SSTR2 and FAP.

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.

SMART: Development and Application of a Multimodal Multi-organ Trauma Screening Model for Abdominal Injuries in Emergency Settings.

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.

Real-time diagnosis of sampled lesions in targeted biopsy of prostate Cancer using a novel tracer [Cu] Cu-DOTA-PSMA-3Q: a pilot preclinical study.

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.

Association between a healthy lifestyle and the prevalence of depression in radiology residents in China: findings from a nationwide survey.

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.

VBNC Cronobacter sakazakii survives in macrophages by resisting oxidative stress and evading recognition by macrophages.

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.

Work stress and competency among radiology residents: the mediating effect of resilience.

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.

The clinical outcomes of patients with vascular invasion after deceased donor liver transplantation.

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.

Spatiotemporal patterns and socioeconomic determinants of pulmonary tuberculosis in Dongguan city, China, during 2011-2020: an ecological study.

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.

Deep Learning-Based System Combining Chest X-Ray and Computerized Tomography Images for COVID-19 Diagnosis.

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.

GCGACNN: A Graph Neural Network and Random Forest for Predicting Microbe-Drug Associations.

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.

Oxygen-defect bismuth oxychloride nanosheets for ultrasonic cavitation effect enhanced sonodynamic and second near-infrared photo-induced therapy of breast cancer.

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.

Consistency-Guided Differential Decoding for Enhancing Semi-Supervised Medical Image Segmentation.

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.

The first-in-human preclinical evaluation of the new probe [123I]I-PSMA-7 for real-time intraoperative targeted biopsy and SPECT/CT imaging in prostate cancer.

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.

Nitrous oxide abuse in a 21-year-old female: a case report and review of literature.

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.

Drug-eluting bead transarterial chemoembolization as neoadjuvant therapy pre-liver transplantation for advanced-stage hepatocellular carcinoma.

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.