The role of 3-Tesla magnetic resonance perfusion and spectroscopy in distinguishing glioblastoma from solitary brain metastasis.

IF 1.1 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Journal of Clinical Imaging Science Pub Date : 2023-01-01 DOI:10.25259/JCIS_49_2023

Nguyen Duy Hung, Le Van Dung, Nguyen Ha Vi, Nguyen-Thi Hai Anh, Le-Thi Hong Phuong, Nguyen Dinh Hieu, Nguyen Minh Duc

{"title":"The role of 3-Tesla magnetic resonance perfusion and spectroscopy in distinguishing glioblastoma from solitary brain metastasis.","authors":"Nguyen Duy Hung, Le Van Dung, Nguyen Ha Vi, Nguyen-Thi Hai Anh, Le-Thi Hong Phuong, Nguyen Dinh Hieu, Nguyen Minh Duc","doi":"10.25259/JCIS_49_2023","DOIUrl":null,"url":null,"abstract":"Objectives: This study aimed to assess the value of magnetic resonance perfusion (MR perfusion) and magnetic resonance spectroscopy (MR spectroscopy) in 3.0-Tesla magnetic resonanceimaging (MRI) for differential diagnosis of glioblastoma (GBM) and solitary brain metastasis (SBM).Material and methods: This retrospective study involved 36 patients, including 24 cases of GBM and 12 of SBM diagnosed using histopathology. All patients underwent a 3.0-Tesla MRI examination with pre-operative MR perfusion and MR spectroscopy. We assessed the differences in age, sex, cerebral blood volume (CBV), relative CBV (rCBV), and the metabolite ratios of choline/N-acetylaspartate (Cho/NAA) and Cho/creatine between the GBM and SBM groups using the Mann-Whitney U-test and Chi-square test. The cutoff value, area under the curve, sensitivity, specificity, positive predictive value, and negative predictive value of the significantly different parameters between these two groups were determined using the receiver operating characteristic curve.Results: In MR perfusion, the CBV of the peritumoral region (pCBV) had the highest preoperative predictive value in discriminating GBM from SBM (cutoff: 1.41; sensitivity: 70.83%; and specificity: 83.33%), followed by the ratio of CBV of the solid tumor component to CBV of normal white matter (rCBVt/n) and the ratio of CBV of the pCBV to CBV of normal white matter (rCBVp/n). In MR spectroscopy, the Cho/NAA ratio of the pCBV (pCho/NAA; cutoff: 1.02; sensitivity: 87.50%; and specificity: 75%) and the Cho/NAA ratio of the solid tumor component (tCho/NAA; cutoff: 2.11; sensitivity: 87.50%; and specificity: 66.67%) were significantly different between groups. Moreover, combining these remarkably different parameters increased their diagnostic utility for distinguishing between GBM and SBM.Conclusion: pCBV, rCBVt/n, rCBVp/n, pCho/NAA, and tCho/NAA are useful indices for differentiating between GBM and SBM. Combining these indices can improve diagnostic performance in distinguishing between these two tumors.","PeriodicalId":15512,"journal":{"name":"Journal of Clinical Imaging Science","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/d6/5e/JCIS-13-19.PMC10408633.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Clinical Imaging Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25259/JCIS_49_2023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}

引用次数: 0

Abstract

Objectives: This study aimed to assess the value of magnetic resonance perfusion (MR perfusion) and magnetic resonance spectroscopy (MR spectroscopy) in 3.0-Tesla magnetic resonanceimaging (MRI) for differential diagnosis of glioblastoma (GBM) and solitary brain metastasis (SBM).

Material and methods: This retrospective study involved 36 patients, including 24 cases of GBM and 12 of SBM diagnosed using histopathology. All patients underwent a 3.0-Tesla MRI examination with pre-operative MR perfusion and MR spectroscopy. We assessed the differences in age, sex, cerebral blood volume (CBV), relative CBV (rCBV), and the metabolite ratios of choline/N-acetylaspartate (Cho/NAA) and Cho/creatine between the GBM and SBM groups using the Mann-Whitney U-test and Chi-square test. The cutoff value, area under the curve, sensitivity, specificity, positive predictive value, and negative predictive value of the significantly different parameters between these two groups were determined using the receiver operating characteristic curve.

Results: In MR perfusion, the CBV of the peritumoral region (pCBV) had the highest preoperative predictive value in discriminating GBM from SBM (cutoff: 1.41; sensitivity: 70.83%; and specificity: 83.33%), followed by the ratio of CBV of the solid tumor component to CBV of normal white matter (rCBVt/n) and the ratio of CBV of the pCBV to CBV of normal white matter (rCBVp/n). In MR spectroscopy, the Cho/NAA ratio of the pCBV (pCho/NAA; cutoff: 1.02; sensitivity: 87.50%; and specificity: 75%) and the Cho/NAA ratio of the solid tumor component (tCho/NAA; cutoff: 2.11; sensitivity: 87.50%; and specificity: 66.67%) were significantly different between groups. Moreover, combining these remarkably different parameters increased their diagnostic utility for distinguishing between GBM and SBM.

Conclusion: pCBV, rCBVt/n, rCBVp/n, pCho/NAA, and tCho/NAA are useful indices for differentiating between GBM and SBM. Combining these indices can improve diagnostic performance in distinguishing between these two tumors.

Abstract Image

查看原文本刊更多论文

3-特斯拉磁共振灌注和波谱在区分胶质母细胞瘤和孤立性脑转移中的作用。

目的:探讨3.0特斯拉磁共振成像(MRI)的磁共振灌注(MR灌注)和磁共振波谱(MR波谱)在胶质母细胞瘤(GBM)和孤立性脑转移(SBM)鉴别诊断中的价值。材料与方法:回顾性研究36例患者，其中组织病理学诊断为GBM 24例，SBM 12例。所有患者均行3.0特斯拉MRI检查，术前MR灌注和MR光谱。我们采用Mann-Whitney u检验和卡方检验评估GBM组和SBM组在年龄、性别、脑血容量(CBV)、相对CBV (rCBV)以及胆碱/ n-乙酰天冬氨酸(Cho/NAA)和Cho/肌酸代谢物比值方面的差异。采用受试者工作特征曲线确定两组间差异显著参数的截止值、曲线下面积、敏感性、特异性、阳性预测值、阴性预测值。结果:MR灌注时，瘤周CBV (pCBV)对鉴别GBM和SBM具有最高的术前预测价值(截止值:1.41;灵敏度:70.83%;特异性为83.33%)，其次是实体瘤成分CBV与正常白质CBV之比(rCBVt/n)和pCBV与正常白质CBV之比(rCBVp/n)。在MR光谱中，pCBV的Cho/NAA比值(pCho/NAA;截止:1.02;灵敏度:87.50%;特异性:75%)和实体瘤成分的Cho/NAA比值(tCho/NAA;截止:2.11;灵敏度:87.50%;特异性为66.67%)，组间差异有统计学意义。此外，结合这些显著不同的参数增加了他们的诊断效用，以区分GBM和SBM。结论:pCBV、rCBVt/n、rCBVp/n、pCho/NAA、tCho/NAA是鉴别GBM与SBM的有效指标。综合这些指标可提高两种肿瘤的诊断效能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Clinical Imaging Science RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-

CiteScore

2.00

自引率

0.00%

发文量

期刊介绍： The Journal of Clinical Imaging Science (JCIS) is an open access peer-reviewed journal committed to publishing high-quality articles in the field of Imaging Science. The journal aims to present Imaging Science and relevant clinical information in an understandable and useful format. The journal is owned and published by the Scientific Scholar. Audience Our audience includes Radiologists, Researchers, Clinicians, medical professionals and students. Review process JCIS has a highly rigorous peer-review process that makes sure that manuscripts are scientifically accurate, relevant, novel and important. Authors disclose all conflicts, affiliations and financial associations such that the published content is not biased.