Efficacy of 3D-TSE Sequence-Based Radiosurgery in Prolonging Time to Distant Intracranial Failure: A Session-Wise Analysis in a Histology-Diverse Patient Cohort

Medicine, Neurology, Medical Imaging, Oncology,
Radiosurgery   3D-TSE sequence   Distant Intracranial Failure   Brain Metastases   Imaging Protocol  

Efficacy of 3D-TSE Sequence in Prolonging Time to Distant Intracranial Failure: A Session-Wise Analysis in a Histology-Diverse Patient Cohort Academic Background Brain metastases (BM) represent the majority of intracranial malignancies and significantly contribute to cancer-related morbidity and mortality. At the initial diagnosis of systemic cance...

Prospective Longitudinal Analysis of Physiologic MRI-Based Tumor Habitat Predicts Short-Term Patient Outcomes in IDH-Wildtype Glioblastoma

Medicine, Neurology, Neurosurgery, Medical Imaging, Oncology,
glioblastoma   tumor habitat   physiologic MRI   prognosis prediction   IDH-wildtype  

Prospective Longitudinal Analysis of Physiologic MRI-Based Tumor Habitat Predicts Short-Term Patient Outcomes in IDH-Wildtype Glioblastoma Academic Background Glioblastoma (GBM) is a highly malignant brain tumor characterized by significant intratumoral heterogeneity, which is evident not only in gene expression and histopathology but also in macro...

ABVS Breast Tumour Segmentation via Integrating CNN with Dilated Sampling Self-Attention and Feature Interaction Transformer

Information Science, Artificial Intelligence, Medicine, Medical Imaging,
Breast Tumour Segmentation   Automated Breast Volume Scanner   3D Transformer-CNN Segmentation Network   Mask Image Modelling   Deep Learning   Medical Image Analysis   Self-Supervised Learning  

ABVS Breast Tumor Segmentation Research Based on CNN and Dilated Sampling Self-Attention Academic Background Breast cancer is the second most common cancer worldwide, and early and accurate detection is crucial for improving patient prognosis and reducing mortality. Although various imaging techniques (such as X-ray mammography, magnetic resonance ...

Comprehensive Evaluation of Pipelines for Classification of Psychiatric Disorders Using Multi-Site Resting-State fMRI Datasets

Comprehensive Evaluation of Pipelines for Classification of Psychiatric Disorders Using Multi-Site Resting-State fMRI Datasets

Medicine, Psychiatry, Neurology, Medical Imaging,
classification biomarker   pipeline   generalization   fMRI   multi-site dataset   major depressive disorder  

Background Introduction The field of psychiatry has long relied on symptoms and medical interviews for diagnosis, lacking objective biomarkers. Resting-state functional magnetic resonance imaging (rs-fMRI) is widely believed to reveal characteristic patterns of brain structure and function, thereby providing potential classification markers for the...

Anxiety Disorder Identification with Biomarker Detection through Subspace-Enhanced Hypergraph Neural Network

Anxiety Disorder Identification with Biomarker Detection through Subspace-Enhanced Hypergraph Neural Network

Information Science, Artificial Intelligence, Medicine, Psychiatry, Medical Imaging, Life Sciences, Bioengineering,
anxiety disorder   hypergraph neural network   multimodal data   subspace enhancement   biomarker  

Anxiety Disorder Identification and Biomarker Detection Based on Subspace-Enhanced Hypergraph Neural Network Academic Background Anxiety Disorders (ADs) are prevalent mental health issues globally, affecting approximately 7.3% of the population. Patients with anxiety disorders typically exhibit excessive fear, worry, and related behavioral abnormal...