ReviewSeminars in ultrasound, CT, and MR2025
Proton Magnetic Resonance Spectroscopy for Pediatric Neuroimaging: Key Concepts for Practice.
Review in Seminars in ultrasound, CT, and MR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
2 authors.
Funding
Abstract
Magnetic resonance spectroscopy (MRS) of the brain provides the clinician an in vivo neurochemical assessment within the clinical magnetic resonance imaging setting. This information can yield specificity when addressing questions pertaining to brain health and metabolism while characterizing disease and injury, evaluating treatment response, and prognosticating outcome. Proton MRS techniques can be useful in narrowing the diagnostic differential and capturing time-sensitive information for the continually developing pediatric brain. This paper provides a review of key proton MRS topics relevant for usage in pediatric populations. We discuss magnetic field strength, pediatric-sized head coils, water suppression techniques, localization pulse sequences, post-processing methods, analysis, and interpretation. These elements all require special consideration, particularly for the immature brain. We introduce the fundamentals of spectral editing. Finally, we present illustrative examples employing proton MRS in clinical practice to begin to synthesize these concepts into practical application.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.