Relaxation-Exchange Magnetic Resonance Imaging (REXI): A Non-Invasive Imaging Method for Evaluating Trans-Barrier Water Exchange in the Choroid Plexus

Non-Invasive Imaging Technique for Evaluating Trans-Barrier Water Exchange in the Choroid Plexus Background Introduction The choroid plexus (CP) is a critical site for cerebrospinal fluid (CSF) production and an essential component of the blood-cerebrospinal fluid barrier (BCSFB). The CP regulates CSF secretion and absorption, maintaining brain hom...

Multimodal Deep Learning Improves Recurrence Risk Prediction in Pediatric Low-Grade Gliomas

Application of Deep Learning in Postoperative Recurrence Prediction for Pediatric Low-Grade Gliomas Background Pediatric Low-Grade Gliomas (PLGGs) are one of the most common types of brain tumors in children, accounting for 30%-50% of all central nervous system tumors in children. Although the prognosis of PLGGs is relatively favorable, the risk of...

Mapping Tumor Habitats in Isocitrate Dehydrogenase-Wild Type Glioblastoma: Integrating MRI, Pathologic, and RNA Data

Pathological Validation of MRI Tumor Habitats in Glioblastoma Background Introduction Glioblastoma (GBM) is a highly malignant brain tumor characterized by significant heterogeneity and invasiveness. Due to its complex tumor microenvironment (TME), traditional imaging methods struggle to accurately distinguish different tumor regions, such as the t...

PICK: Predict and Mask for Semi-Supervised Medical Image Segmentation

Report on the Paper “PICK: Predict and Mask for Semi-Supervised Medical Image Segmentation” Academic Background Accurate segmentation of medical images is crucial in clinical practice, as it provides vital insights into organ/tumor characteristics such as volume, location, and shape. Recent studies have highlighted the significant potential of data...

RepsNet: A Nucleus Instance Segmentation Model Based on Boundary Regression and Structural Re-parameterization

RepsNet: A Nucleus Instance Segmentation Model Based on Boundary Regression and Structural Re-parameterization

Report on the Paper “RepsNet: A Nucleus Instance Segmentation Model Based on Boundary Regression and Structural Re-parameterization” Academic Background Pathological diagnosis is the gold standard for tumor diagnosis, and nucleus instance segmentation is a key step in digital pathology analysis and pathological diagnosis. However, the computational...

Metabolic Imaging Distinguishes Ovarian Cancer Subtypes and Detects Their Early and Variable Responses to Treatment

Metabolic Imaging Distinguishes Ovarian Cancer Subtypes and Detects Their Early and Variable Responses to Treatment Academic Background Ovarian cancer is one of the leading causes of cancer-related deaths in women, with high-grade serous ovarian cancer (HGSOC) being the most common lethal subtype. In recent years, metabolic subtypes have been ident...

A Wearable Echomyography System Based on a Single Transducer

Innovative Advances in Wearable Single-Transducer Echomyography Systems: From Muscle Dynamics Monitoring to Complex Gesture Tracking Academic Background and Research Significance In recent years, wearable electronic devices have garnered significant attention for their enormous potential in health monitoring and human-machine interaction. Electromy...

PSMA-PET/CT Findings in Patients with High-Risk Biochemically Recurrent Prostate Cancer with No Metastatic Disease by Conventional Imaging

Academic Background Prostate cancer is one of the most common cancers in men worldwide, particularly in Western countries. Despite advances in early diagnosis and treatment significantly improving survival rates, cancer recurrence remains a major clinical challenge. This is particularly true for patients with high-risk nonmetastatic hormone-sensiti...

Environmental Life Cycle Assessment of a U.S. Hospital-Based Radiology Practice

Academic Background With the intensification of global climate change, the impact of greenhouse gas (GHG) emissions on the environment and human health is becoming increasingly significant. The healthcare sector, as a major consumer of global energy and resources, contributes substantially to carbon emissions. Statistics show that the healthcare se...

Liquid Biopsy versus CT: Comparison of Tumor Burden Quantification in 1065 Patients with Metastases

Comparison of Tumor Burden Quantification between Liquid Biopsy and CT Academic Background In the era of precision medicine, the validation of non-invasive biomarkers faces numerous challenges. Tumor burden, as a potential prognostic marker, has been demonstrated to hold significant value in various studies. Tumor burden refers to the total amount ...