AIMC Topic: Magnetic Resonance Imaging
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Structural and metabolic topological alterations associated with butylphthalide treatment in mild cognitive impairment: Data from a randomized, double-blind, placebo-controlled trial.
Psychiatry and clinical neurosciences
Mar 31, 2025
AIMS: Effective intervention for mild cognitive impairment (MCI) is key for preventing dementia. As a neuroprotective agent, butylphthalide has the potential to treat MCI due to Alzheimer disease (AD). However, the pharmacological mechanism of butylp...
Construction of enhanced MRI-based radiomics models using machine learning algorithms for non-invasive prediction of IL7R expression in high-grade gliomas and its prognostic value in clinical practice.
Journal of translational medicine
Mar 31, 2025
BACKGROUND: High-grade gliomas are among the most aggressive and deadly brain tumors, highlighting the critical need for improved prognostic markers and predictive models. Recent studies have identified the expression of IL7R as a significant risk fa...
Multivariate Analysis
Kaplan-Meier Estimate
Receptors, Interleukin-7
Interleukin-7 Receptor alpha Subunit
Magnetic Resonance Imaging
Radiomics
Neoplasm Grading
Brain Neoplasms
Proportional Hazards Models
Male
Middle Aged
ROC Curve
Glioma
Prognosis
Support Vector Machine
Humans
Female
Machine Learning
Aged
Algorithms
Adult
Deep learning-based breast MRI for predicting axillary lymph node metastasis: a systematic review and meta-analysis.
Cancer imaging : the official publication of the International Cancer Imaging Society
Mar 31, 2025
BACKGROUND: To perform a systematic review and meta-analysis that assesses the diagnostic performance of deep learning algorithms applied to breast MRI for predicting axillary lymph nodes metastases in patients of breast cancer.
Gd-EOB-DTPA-enhanced MRI radiomics and deep learning models to predict microvascular invasion in hepatocellular carcinoma: a multicenter study.
BMC medical imaging
Mar 31, 2025
BACKGROUND: Microvascular invasion (MVI) is an important risk factor for early postoperative recurrence of hepatocellular carcinoma (HCC). Based on gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced magnetic resonance ...
Detection of antibodies in suspected autoimmune encephalitis diseases using machine learning.
Scientific reports
Mar 31, 2025
In our study, we aim to predict the antibody serostatus of patients with suspected autoimmune encephalitis (AE) using machine learning based on pre-contrast T2-weighted MR images acquired at symptom onset. A confirmation of seropositivity is of great...
Image normalization techniques and their effect on the robustness and predictive power of breast MRI radiomics.
European journal of radiology
Mar 30, 2025
BACKGROUND AND PURPOSE: Radiomics analysis has emerged as a promising approach to aid in cancer diagnosis and treatment. However, radiomics research currently lacks standardization, and radiomics features can be highly dependent on acquisition and pr...
Multimodal contrastive learning for enhanced explainability in pediatric brain tumor molecular diagnosis.
Scientific reports
Mar 30, 2025
Despite the promising performance of convolutional neural networks (CNNs) in brain tumor diagnosis from magnetic resonance imaging (MRI), their integration into the clinical workflow has been limited. That is mainly due to the fact that the features ...
[Artificial intelligence-based fusion prostate biopsy].
Orvosi hetilap
Mar 30, 2025
Multivariate Classification of Adolescent Major Depressive Disorder Using Whole-brain Functional Connectivity.
Academic radiology
Mar 29, 2025
RATIONALE AND OBJECTIVES: Adolescent major depressive disorder (MDD) is a serious mental health condition that has been linked to abnormal functional connectivity (FC) patterns within the brain. However, whether FC could be used as a potential biomar...
Advanced convolutional neural network with attention mechanism for Alzheimer's disease classification using MRI.
Computers in biology and medicine
Mar 29, 2025
This paper introduces a novel convolutional neural network model with an attention mechanism to advance Alzheimer disease (AD) classification using Magnetic Resonance Imaging (MRI). The model architecture is meticulously crafted to enhance feature ex...
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