Preoperative grading of intracranial meningioma by magnetic resonance spectroscopy (1H-MRS)

Lin, Maofang; Li, Chiao-Zhu; Hsieh, Chih-Chuan; Hong, Kun-Ting; Lin, Benjamin C.; Lin, Chin; Tsai, Wen‐Chiuan; Lee, Chiao-Hua; Lee, Man-Gang; Chung, Tzu-Tsao; Tang, Chi‐Tun; Ju, Da‐Tong; Ma, Hsin‐I; Liu, Mingying; Chen, Yuan-Hao; Hueng, Dueng‐Yuan

doi:10.1371/journal.pone.0207612

Cited by 14 publications

(8 citation statements)

References 11 publications

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“…The metabolites include N-acetylaspartate (NAA), creatine (Cr), and choline (Cho). 9 The current study was undertaken to investigate the prevalence of brain tumor meningioma in patients with characteristic risk factors including headache, vomiting, dizziness etc to assess the diagnostic significance.…”

Section: Resultsmentioning

confidence: 99%

Prevalence of Meningioma in South Indian Population Diagnosed through Magnetic Resonance Spectroscopy – A Retrospective Study

Smitha¹,

Sivaraman²

2022

JCRAM

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Introduction: Meningioma originates in cerebral dura mater and can grow at any site, especially at the skull vault and the skull base. Meningioma accounts for 37% of all central nervous system tumor. MRS (Magnetic Resonance Spectroscopy) provides additional structural and metabolic information that helps to diagnose meningioma. Objectives: The aim of the study was to investigate the prevalence of brain tumor meningioma in patients with characteristic risk factors like headache, vomiting, dizziness etc to assess the diagnostic significance. Materials and Methods: This is a retrospective study and was conducted in the Radiology Department and Biophysics Departments of one of the tertiary health care centres in South Kerala. This study was conducted on 81 subjects with brain lesion, including both males and females, who underwent MRS. From MRS findings, the prevalence of Meningioma was detected. Patient's demographics were also taken for the analysis and interpretation. Results: From this study it was understood that out of the 81 cases, 40 were of Meningioma. In this 40 patients, 22 were females (55%) and 18 were males (45 %). Among these 40 cases, the frequency of brain lesions was higher in old aged group (60 %) when compared to younger (0%) and middle age groups (40%). It was found that out of the 40 patients, 42 % had headache, 28 % had vomiting, 23 % had Type-2 diabetes mellitus and 7% had dizziness. Conclusion: From this study, it is confirmed that among the brain lesions, the incidence of Meningioma is higher and was prominent among old aged group and the incidence is reported to be higher in females. This indicates the need of special attention for these patients for early diagnosis and timely intervention.

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Section: Resultsmentioning

confidence: 99%

Prevalence of Meningioma in South Indian Population Diagnosed through Magnetic Resonance Spectroscopy – A Retrospective Study

Smitha¹,

Sivaraman²

2022

JCRAM

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“…[18] Again, the combination of conventional imaging features on MRI and recently introduced MRI parameters may facilitate the better diagnosis of high-grade meningioma. [12,18,19,22,27] Limitation of this study…”

Section: Discussionmentioning

confidence: 98%

Precision of preoperative diagnosis in patients with brain tumor – A prospective study based on “top three list” of differential diagnosis for 1061 patients

Arita

Miwa

Bohara

et al. 2020

Surgical Neurology International

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Background: Accurate diagnosis of brain tumor is crucial for adequate surgical strategy. Our institution follows a comprehensive preoperative evaluation based on clinical and imaging information. Methods: To assess the precision of preoperative diagnosis, we compared the “top three list” of differential diagnosis (the first, second, and third diagnoses according to the WHO 2007 classification including grading) of 1061 brain tumors, prospectively and consecutively registered in preoperative case conferences from 2010 to the end of 2017, with postoperative pathology reports. Results: The correct diagnosis rate (sensitivity) of the first diagnosis was 75.8% in total. The sensitivity of the first diagnosis was high (84–94%) in hypothalamic-pituitary and extra-axial tumors, 67–75% in intra-axial tumors, and relatively low (29–42%) in intraventricular and pineal region tumors. Among major three intra-axial tumors, the sensitivity was highest in brain metastasis: 83.8% followed by malignant lymphoma: 81.4% and glioblastoma multiforme: 73.1%. Sensitivity was generally low (≦60%) in other gliomas. These sensitivities generally improved when the second and third diagnoses were included; 86.3% in total. Positive predictive value (PPV) was 76.9% in total. All the three preoperative diagnoses were incorrect in 3.4% (36/1061) of cases even when broader brain tumor classification was applied. Conclusion: Our institutional experience on precision of preoperative diagnosis appeared around 75% of sensitivity and PPV for brain tumor. Sensitivity improved by 10% when the second and third diagnoses were included. Neurosurgeons should be aware of these features of precision in preoperative differential diagnosis of a brain tumor for better surgical strategy and to adequately inform the patients.

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“…The Cho/Cr and Cho/NAA ratios of MRS exhibit high sensitivity about distinguishing benign and malignant intracranial lesions ( 9 , 10 ). Lin et al also proposed that the Cho/NAA ratios of MRS may serve as simple and practical measures for the confirmation of the grade of intracranial meningioma, before clinical decision-making ( 11 ). However, there is limited evidence on the use of MRS for the diagnosis of MA or MA-M.…”

Section: Discussionmentioning

confidence: 99%

Magnetic Resonance Spectroscopy May Help Diagnose Sporadic Meningioangiomatosis Associated With Meningioma: A Case Report

Liu

Liang

2022

Front. Neurol.

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Herein, we have presented the clinical features of meningioangiomatosis associated with meningioma, which is considered to be a rare neoplastic lesion. Magnetic resonance spectroscopy (MRS) demonstrated a remarkably decreased N-acetylaspartate peak and an increase in the choline peak of the lesion, suggesting neuronal injury and active cell proliferation. These findings substantially differed from those observed in the case of pure meningioangiomatosis.

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Preoperative grading of intracranial meningioma by magnetic resonance spectroscopy (1H-MRS)

Cited by 14 publications

References 11 publications

Prevalence of Meningioma in South Indian Population Diagnosed through Magnetic Resonance Spectroscopy – A Retrospective Study

Prevalence of Meningioma in South Indian Population Diagnosed through Magnetic Resonance Spectroscopy – A Retrospective Study

Precision of preoperative diagnosis in patients with brain tumor – A prospective study based on “top three list” of differential diagnosis for 1061 patients

Magnetic Resonance Spectroscopy May Help Diagnose Sporadic Meningioangiomatosis Associated With Meningioma: A Case Report

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