Deep Learning for Synthetic Postcontrast T1-Weighted MRI: A Systematic Review With Targeted Meta-Analysis of Brain Tumor Studies

American Journal of Roentgenology 2026

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Authors: Siddhant Dogra, Emmy Hu, Stella K. Kang
DOI: 10.2214/ajr.26.34673
Cited by: 1
References: 47

Abstract

Background. Gadolinium-based contrast agents remain essential for MRI but carry risks. Deep learning (DL) methods have emerged as a potential approach for synthesizing postcontrast T1-weighted images from precontrast sequences alone.

Fields of Study & Subjects

Advanced MRI Techniques and Applications Glioma Diagnosis and Treatment MRI in cancer diagnosis

Publication details

Journal / source
American Journal of Roentgenology
Publisher
American Roentgen Ray Society
Volume
227
Issue
2
Pages
e2634673–e2634673
Publication date
6 May 2026
Language
EN