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Magnetic Resonance Spectroscopy for Cervical Cancer: Review and Potential Prognostic Applications.

Authors :
Iqbal, Zohaib
Albuquerque, Kevin
Chan, Kimberly L.
Source :
Cancers. Jun2024, Vol. 16 Issue 11, p2141. 13p.
Publication Year :
2024

Abstract

Simple Summary: Cervical cancer is the fourth most prominent cancer in women worldwide. Early cancer detection, timely treatment, and prognostic marker identification are vital to ensure that patients have improved outcomes. Magnetic resonance spectroscopy (MRS) is a powerful tool for detecting metabolites in vivo. This review article covers the role of MRS for cervical cancer for diagnosis, treatment response evaluation, and future applications of this technology. This review article investigates the utilization of MRS in the setting of cervical cancer. A variety of different techniques have been used in this space including single-voxel techniques such as point-resolved spectroscopy (PRESS) and stimulated echo acquisition mode spectroscopy (STEAM). Furthermore, the experimental parameters for these acquisitions including field strength, repetition times (TR), and echo times (TE) vary greatly. This study critically examines eleven MRS studies that focus on cervical cancer. Out of the eleven studies, ten studies utilized PRESS acquisition, while the remaining study used STEAM acquisition. These studies generally showed that the choline signal is altered in cervical cancer (4/11 studies), the lipid signal is generally increased in cervical cancer or the lipid distribution is changed (5/11 studies), and that diffusion-weighted imaging (DWI) can quantitatively detect lower apparent diffusion coefficient (ADC) values in cervical cancer (2/11 studies). Two studies also investigated the role of MRS for monitoring treatment response and demonstrated mixed results regarding choline signal, and one of these studies showed increased lipid signal for non-responders. There are several new MRS technologies that have yet to be implemented for cervical cancer including advanced spectroscopic imaging and artificial intelligence, and those technologies are also discussed in the article. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20726694
Volume :
16
Issue :
11
Database :
Academic Search Index
Journal :
Cancers
Publication Type :
Academic Journal
Accession number :
177874219
Full Text :
https://doi.org/10.3390/cancers16112141