Results 151 to 160 of about 103,286 (345)
This study aimed to implement an artificial intelligence (AI) model capable of diagnosing meningioma and atypical meningioma during deep learning using magnetic resonance imaging (MRI).
Jun-Ho Hwang +2 more
doaj +1 more source
Imagen de un meningioma medular.Picture of a spinal cord ...
Iglesias Rozas, José Rafael, 1942-
core
ABSTRACT Introduction Contrast‐induced encephalopathy (CIE) is an increasingly recognised neurological complication of iodinated contrast administration during neurointerventional procedures. Recently published 2025 Delphi‐based diagnostic criteria and management algorithms aim to standardise clinical practice; however, optimal neuroimaging strategies ...
Kaiwen Cabbabe +10 more
wiley +1 more source
ABSTRACT Background The tight junction protein CLDN6 has been identified as a cancer‐associated cell surface marker that is rarely expressed in healthy tissues. In testicular germ cell tumors (GCT), CLDN6 is particularly detectable in seminomas, embryonal carcinomas, and choriocarcinomas.
Jule Zwick +7 more
wiley +1 more source
Dos imágenes de un meningioma melanótico.Two pictures of a melanotic ...
Iglesias Rozas, José Rafael, 1942-
core
Identification of SLC7A1 as a potential therapeutic target for high-grade meningioma
High-grade meningioma remains a therapeutic challenge. The first-line guideline drugs for high-grade meningioma are still lacking, highlighting the urgent need to uncover new therapeutic targets.
Lairong Song +7 more
doaj +1 more source
Dos imágenes de un meningioma osteoblástico.Two pictures of an osteoblastic ...
Iglesias Rozas, José Rafael, 1942-
core
Ocho imágenes de un meningioma cordoide.Eight pictures of a chordoid ...
Iglesias Rozas, José Rafael, 1942-
core
Using the Infinium MethylationEPIC v2.0 array and Heidelberg Brain Tumor Classifier v12.8, 24 international laboratories achieved highly reproducible CNS tumor classification (97.9% correct; median β‐correlation r = 0.99), while copy number variation interpretation showed substantial interlaboratory variability, highlighting the need for harmonized CNV
Katrin Mauch‐Mücke +50 more
wiley +1 more source

