Advances in MRI-based Deep Learning for diagnosis and prognostic evaluation of endometrial cancer.

Asian J Surg

Department of Radiology, The Second Hospital of Dalian Medical University, 467 Zhong Shan Road, Dalian, 116023, People's Republic of China. Electronic address:

Published: November 2024

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.asjsur.2024.11.126DOI Listing

Publication Analysis

Top Keywords

advances mri-based
4
mri-based deep
4
deep learning
4
learning diagnosis
4
diagnosis prognostic
4
prognostic evaluation
4
evaluation endometrial
4
endometrial cancer
4
advances
1
deep
1

Similar Publications

Background: Cervical cancer remains a significant challenge in developing countries, with many patients diagnosed at advanced stages. The clinical staging of cervical cancer is guided by the International Federation of Obstetrics and Gynecology (FIGO) guidelines, while computed tomography (CT) and magnetic resonance imaging (MRI) offer valuable supplemental information. This study aimed to evaluate the initial clinical and imaging stages of cervical cancer and to assess the agreement between these staging methods.

View Article and Find Full Text PDF

Central Nervous System (CNS) tumors represent a significant public health concern due to their high morbidity and mortality rates. Magnetic Resonance Imaging (MRI) has emerged as a critical non-invasive modality for the detection, diagnosis, and management of brain tumors, offering high-resolution visualization of anatomical structures. Recent advancements in deep learning, particularly convolutional neural networks (CNNs), have shown potential in augmenting MRI-based diagnostic accuracy for brain tumor detection.

View Article and Find Full Text PDF

Structural and functional connectomics of the olfactory system in Parkinson's disease: a systematic review.

Parkinsonism Relat Disord

December 2024

Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Imaging, University of Messina, Messina, Italy. Electronic address:

Olfactory dysfunction, affecting 75-90 % of Parkinson's disease (PD) patients, holds significant predictive value for PD development. Advanced imaging techniques, such as diffusion MRI (dMRI) and functional MRI (fMRI), offer insights into structural and functional changes within olfactory pathways. This review summarizes a decade of research on MRI-based connectivity of the olfactory system in PD, focusing on structural and functional alterations in olfactory brain areas and their links to early olfactory processing changes.

View Article and Find Full Text PDF

Blood-brain barrier breakdown in brain ischemia: Insights from MRI perfusion imaging.

Neurotherapeutics

December 2024

Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States; Neurocritical Care Division, Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, MD, United States; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States; Department of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States. Electronic address:

Brain ischemia is a major cause of neurological dysfunction and mortality worldwide. It occurs not only acutely, such as in acute ischemic stroke (AIS), but also in chronic conditions like cerebral small vessel disease (cSVD). Any other conditions resulting in brain hypoperfusion can also lead to ischemia.

View Article and Find Full Text PDF

Purpose: To investigate the early predictive value of dynamic magnetic resonance imaging (MRI)-based radiomics for progression and prognosis in locally advanced cervical cancer (LACC) patients treated with concurrent chemoradiotherapy (CCRT).

Methods And Materials: A total of 111 LACC patients (training set: 88; test set: 23) were retrospectively enrolled. Dynamic MR images were acquired at baseline (MRI), before brachytherapy delivery (MRI) and at each follow-up visit.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!