Applying chemical shift images (in-phase/opposed phased) for differentiating low-grade from high-grade glioma and comparison with magnetic resonance spectroscopy.

Bita Abbasi, Afshar Ghamari Khameneh, Hadi Zareh Soltaniye, Gisoo Darban Hosseini Amirkhiz, Ehsan Karimi, Reza Akhavan

Abstract readComparative StudyObservational Study

In one paragraph

Observational study in Radiologie (Heidelberg, Germany), 2024. 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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5 · Who and what money

Authors and funding

6 authors.

Bita AbbasiDepartment of Radiology, Faculty of Medicine, Imam Reza Hospital, Mashhad University of Medical Sciences, Razi Sq., Mashhad, Iran.

Afshar Ghamari KhamenehDepartment of Radiology, Faculty of Medicine, Imam Reza Hospital, Mashhad University of Medical Sciences, Razi Sq., Mashhad, Iran. Afsharghamari@gmail.com.

Hadi Zareh SoltaniyeDepartment of Radiology, Faculty of Medicine, Imam Reza Hospital, Mashhad University of Medical Sciences, Razi Sq., Mashhad, Iran.

Gisoo Darban Hosseini AmirkhizResearch Center for Prevention of Cardiovascular Disease, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences (IUMS), Tehran, Iran.

Ehsan KarimiDepartment of Radiology, Faculty of Medicine, Imam Reza Hospital, Mashhad University of Medical Sciences, Razi Sq., Mashhad, Iran.

Reza AkhavanDepartment of Emergency Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGrading gliomas is essential for treatment decisions and patient prognosis. In this study we evaluated the in-phase and out-of-phase sequences for distinguishing high-grade (HGG) from low-grade glioma (LGG) and the correlation with magnetic resonance spectroscopy (MRS) results.

methodsThis observational study comprised patients with brain tumors referred to our center for brain MRS. The gold standard for diagnosis was based on the World Health Organization (WHO) glioma classification. A standard tumor protocol was accomplished using a 1.5‑T MRS scanner. Before contrast medium administration, extra in- and out-phase sequences were acquired. Three 20-30-mm

resultsIn total, 20 patients were included in the LGG and 13 were included in the HGG group. The mean SLR in the HGG and LGG groups was 3.66 ± 2.12 and 1.63 ± 1.86, respectively (p = 0.01). There was a statistically significant correlation between lipid lactate (0.48, p = 0.004) and free lipid (0.44, p = 0.009) concentrations on MRS with SLR.

conclusionsThe SLR is a simple, rapid, and noninvasive marker for differentiating between LGG and HGG. There is a significant correlation with both the concentration and presence of free lipid and lipid-lactate peaks in MRS.

Indexed as

Brain NeoplasmsGliomaMagnetic Resonance ImagingMagnetic Resonance SpectroscopyNeoplasm GradingAdultAgedDiagnosis, DifferentialFemaleHumansMaleMiddle AgedYoung AdultBrain tumorCerebralGliomaMagnetic resonance spectroscopyMRI

Identifiers

PMID38977491

DOI10.1007/s00117-024-01339-4

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