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1.
Korean Journal of Radiology ; : 459-472, 2024.
Artículo en Inglés | WPRIM | ID: wpr-1044895

RESUMEN

Hyperpolarized (HP) carbon-13 ( 13C) MRI represents an innovative approach for noninvasive, real-time assessment of dynamic metabolic flux, with potential integration into routine clinical MRI. The use of [1- 13C]pyruvate as a probe and its conversion to [1- 13C]lactate constitute an extensively explored metabolic pathway. This review comprehensively outlines the establishment of HP 13C-MRI, covering multidisciplinary team collaboration, hardware prerequisites, probe preparation, hyperpolarization techniques, imaging acquisition, and data analysis. This article discusses the clinical applications of HP 13C-MRI across various anatomical domains, including the brain, heart, skeletal muscle, breast, liver, kidney, pancreas, andprostate. Each section highlights the specific applications and findings pertinent to these regions, emphasizing the potential versatility of HP 13C-MRI in diverse clinical contexts. This review serves as a comprehensive update, bridging technical aspects with clinical applications and offering insights into the ongoing advancements in HP 13C-MRI.

2.
Korean Journal of Radiology ; : 18-33, 2019.
Artículo en Inglés | WPRIM | ID: wpr-719600

RESUMEN

In this study, we summarize the clinical role of magnetic resonance imaging (MRI) in the diagnosis of patients with malignant uterine neoplasms, including leiomyosarcoma, endometrial stromal sarcoma, adenosarcoma, uterine carcinosarcoma, and endometrial cancer, with emphasis on the challenges and disadvantages. MRI plays an essential role in patients with uterine malignancy, for the purpose of tumor detection, primary staging, and treatment planning. MRI has advanced in scope beyond the visualization of the many aspects of anatomical structures, including diffusion-weighted imaging, dynamic contrast enhancement-MRI, and magnetic resonance spectroscopy. Emerging technologies coupled with the use of artificial intelligence in MRI are expected to lead to progressive improvement in case management of malignant uterine neoplasms.


Asunto(s)
Femenino , Humanos , Adenosarcoma , Inteligencia Artificial , Carcinosarcoma , Manejo de Caso , Diagnóstico , Neoplasias Endometriales , Leiomiosarcoma , Imagen por Resonancia Magnética , Espectroscopía de Resonancia Magnética , Sarcoma , Sarcoma Estromático Endometrial , Neoplasias Uterinas
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