MR imaging of pediatric brain tumors

A Jaju, KW Yeom, ME Ryan - Diagnostics, 2022 - mdpi.com
Primary brain tumors are the most common solid neoplasms in children and a leading cause
of mortality in this population. MRI plays a central role in the diagnosis, characterization …

[PDF][PDF] A review on detecting brain tumors using deep learning and magnetic resonance images.

NQ Al-Ani, O Al-Shamma - International Journal of Electrical & …, 2023 - academia.edu
Early detection and treatment in the medical field offer a critical opportunity to survive
people. However, the brain has a significant role in human life as it handles most human …

nnU-Net–based Segmentation of Tumor Subcompartments in Pediatric Medulloblastoma Using Multiparametric MRI: A Multi-institutional Study

R Bareja, M Ismail, D Martin, A Nayate… - Radiology: Artificial …, 2024 - pubs.rsna.org
Purpose To evaluate nnU-Net–based segmentation models for automated delineation of
medulloblastoma tumors on multi-institutional MRI scans. Materials and Methods This …

Imaging of pediatric brain tumors: A COG diagnostic imaging committee/SPR oncology committee/ASPNR white paper

A Jaju, Y Li, H Dahmoush, NG Gottardo… - Pediatric blood & …, 2023 - Wiley Online Library
Tumors of the central nervous system are the most common solid malignancies in children
and the most common cause of pediatric cancer‐related mortality. Imaging plays a central …

Radiomics and artificial intelligence applications in pediatric brain tumors

F Pacchiano, M Tortora, C Doneda, G Izzo… - World Journal of …, 2024 - Springer
Background The study of central nervous system (CNS) tumors is particularly relevant in the
pediatric population because of their relatively high frequency in this demographic and the …

Radio-pathomic approaches in pediatric neuro-oncology: Opportunities and challenges

AM Familiar, A Mahtabfar… - Neuro-Oncology …, 2023 - academic.oup.com
With medical software platforms moving to cloud environments with scalable storage and
computing, the translation of predictive artificial intelligence (AI) models to aid in clinical …

[HTML][HTML] A Comprehensive Review on the Role of MRI in the Assessment of Supratentorial Neoplasms: Comparative Insights Into Adult and Pediatric Cases

PN Bhangale, SV Kashikar, PR Kasat, P Shrivastava… - Cureus, 2024 - pmc.ncbi.nlm.nih.gov
Magnetic resonance imaging (MRI) is a critical diagnostic tool in assessing supratentorial
neoplasms, offering unparalleled detail and specificity in brain imaging. Supratentorial …

Automatic detection and delineation of pediatric gliomas on combined [18F]FET PET and MRI

CN Ladefoged, OM Henriksen, R Mathiasen… - Frontiers in Nuclear …, 2022 - frontiersin.org
Introduction Brain and central nervous system (CNS) tumors are the second most common
cancer type in children and adolescents. Positron emission tomography (PET) imaging with …

Artificial Intelligence in Radiology: What Is Its True Role at Present, and Where Is the Evidence?

A Mohseni, E Ghotbi, F Kazemi… - Radiologic …, 2024 - radiologic.theclinics.com
The integration of artificial intelligence (AI) into radiology has brought about major
advancements and transformative potential in diagnostic imaging practices. Recent studies …

Multimodal deep learning improves recurrence risk prediction in pediatric low-grade gliomas

M Mahootiha, D Tak, Z Ye, A Zapaishchykova… - Neuro …, 2024 - academic.oup.com
Background Postoperative recurrence risk for pediatric low-grade gliomas (pLGGs) is
challenging to predict by conventional clinical, radiographic, and genomic factors. We …