Hongquan Zhu, Yufei Liu, Yuanhao Li, Yuejie Ding, Nanxi Shen, Yan Xie, Su Yan, Yan Fu, Jiaxuan Zhang, Dong Liu, Xiaoxiao Zhang, Li Li, Wenzhen Zhu
{"title":"酰胺质子转移加权（APTw）成像和衍生的胶质瘤评估定量指标：与磁化传递比不对称（MTRasym）相比，性能有所提高。","authors":"Hongquan Zhu, Yufei Liu, Yuanhao Li, Yuejie Ding, Nanxi Shen, Yan Xie, Su Yan, Yan Fu, Jiaxuan Zhang, Dong Liu, Xiaoxiao Zhang, Li Li, Wenzhen Zhu","doi":"10.1016/j.acra.2024.12.054","DOIUrl":null,"url":null,"abstract":"<p><strong>Rationale and objectives: </strong>Isocitrate dehydrogenase (IDH) status, glioma subtypes and tumor proliferation are important for glioma evaluation. We comprehensively compare the diagnostic performance of amide proton transfer-weighted (APTw) MRI and its related metrics in glioma diagnosis, in the context of the latest classification.</p><p><strong>Materials and methods: </strong>Totally 110 patients with adult-type diffuse gliomas underwent APTw imaging. The magnetization transfer ratio asymmetry (MTR<sub>asym</sub>), magnetization transfer ratio normalized by reference signal (MTR<sub>normref</sub>), and spillover-corrected magnetization transfer ratio yielding R<sub>ex</sub> (MTR<sub>Rex</sub>), and metrics based on Lorentzian fitting (Fit-amide, Fit-MTR<sub>normref</sub>, and Fit-MTR<sub>Rex</sub>) were calculated. Group differences were compared between IDH genotypes, and among three glioma subtypes. The diagnostic performances were assessed using the receiver operating characteristic (ROC) analysis and compared. The correlations with Ki-67 expression were also analyzed.</p><p><strong>Results: </strong>All APTw-related metrics exhibited significantly higher values in IDH-wildtype gliomas than in IDH-mutant gliomas (all p < 0.001). Fit-MTR<sub>normref</sub> had the best area under the curve (AUC) of 0.858. All APTw-related metrics in glioblastomas were significantly higher than oligodendrogliomas (all p < 0.01) and astrocytomas (all p < 0.001). No metrics had significant difference between oligodendrogliomas and astrocytomas. The highest AUCs was 0.870 for Fit-MTR<sub>normref</sub> in distinguishing astrocytomas from glioblastomas, and 0.867 for Fit-MTR<sub>Rex</sub> in distinguishing oligodendrogliomas from glioblastomas. Besides, Fit-MTR<sub>normref</sub> had the highest correlation coefficient with Ki-67 expression of 0.578.</p><p><strong>Conclusion: </strong>APTw-related metrics can effectively evaluate glioma IDH status, tumor subtypes and proliferation. The combination of Lorentzian fitting and the reference signal normalization could further improve the diagnostic performance, and perform better than MTR<sub>asym</sub>.</p>","PeriodicalId":50928,"journal":{"name":"Academic Radiology","volume":" ","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Amide proton transfer-weighted (APTw) imaging and derived quantitative metrics in evaluating gliomas: Improved performance compared to magnetization transfer ratio asymmetry (MTR<sub>asym</sub>).\",\"authors\":\"Hongquan Zhu, Yufei Liu, Yuanhao Li, Yuejie Ding, Nanxi Shen, Yan Xie, Su Yan, Yan Fu, Jiaxuan Zhang, Dong Liu, Xiaoxiao Zhang, Li Li, Wenzhen Zhu\",\"doi\":\"10.1016/j.acra.2024.12.054\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Rationale and objectives: </strong>Isocitrate dehydrogenase (IDH) status, glioma subtypes and tumor proliferation are important for glioma evaluation. We comprehensively compare the diagnostic performance of amide proton transfer-weighted (APTw) MRI and its related metrics in glioma diagnosis, in the context of the latest classification.</p><p><strong>Materials and methods: </strong>Totally 110 patients with adult-type diffuse gliomas underwent APTw imaging. The magnetization transfer ratio asymmetry (MTR<sub>asym</sub>), magnetization transfer ratio normalized by reference signal (MTR<sub>normref</sub>), and spillover-corrected magnetization transfer ratio yielding R<sub>ex</sub> (MTR<sub>Rex</sub>), and metrics based on Lorentzian fitting (Fit-amide, Fit-MTR<sub>normref</sub>, and Fit-MTR<sub>Rex</sub>) were calculated. Group differences were compared between IDH genotypes, and among three glioma subtypes. The diagnostic performances were assessed using the receiver operating characteristic (ROC) analysis and compared. The correlations with Ki-67 expression were also analyzed.</p><p><strong>Results: </strong>All APTw-related metrics exhibited significantly higher values in IDH-wildtype gliomas than in IDH-mutant gliomas (all p < 0.001). Fit-MTR<sub>normref</sub> had the best area under the curve (AUC) of 0.858. All APTw-related metrics in glioblastomas were significantly higher than oligodendrogliomas (all p < 0.01) and astrocytomas (all p < 0.001). No metrics had significant difference between oligodendrogliomas and astrocytomas. The highest AUCs was 0.870 for Fit-MTR<sub>normref</sub> in distinguishing astrocytomas from glioblastomas, and 0.867 for Fit-MTR<sub>Rex</sub> in distinguishing oligodendrogliomas from glioblastomas. Besides, Fit-MTR<sub>normref</sub> had the highest correlation coefficient with Ki-67 expression of 0.578.</p><p><strong>Conclusion: </strong>APTw-related metrics can effectively evaluate glioma IDH status, tumor subtypes and proliferation. The combination of Lorentzian fitting and the reference signal normalization could further improve the diagnostic performance, and perform better than MTR<sub>asym</sub>.</p>\",\"PeriodicalId\":50928,\"journal\":{\"name\":\"Academic Radiology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2025-01-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Academic Radiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.acra.2024.12.054\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Academic Radiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.acra.2024.12.054","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Amide proton transfer-weighted (APTw) imaging and derived quantitative metrics in evaluating gliomas: Improved performance compared to magnetization transfer ratio asymmetry (MTRasym).
Rationale and objectives: Isocitrate dehydrogenase (IDH) status, glioma subtypes and tumor proliferation are important for glioma evaluation. We comprehensively compare the diagnostic performance of amide proton transfer-weighted (APTw) MRI and its related metrics in glioma diagnosis, in the context of the latest classification.
Materials and methods: Totally 110 patients with adult-type diffuse gliomas underwent APTw imaging. The magnetization transfer ratio asymmetry (MTRasym), magnetization transfer ratio normalized by reference signal (MTRnormref), and spillover-corrected magnetization transfer ratio yielding Rex (MTRRex), and metrics based on Lorentzian fitting (Fit-amide, Fit-MTRnormref, and Fit-MTRRex) were calculated. Group differences were compared between IDH genotypes, and among three glioma subtypes. The diagnostic performances were assessed using the receiver operating characteristic (ROC) analysis and compared. The correlations with Ki-67 expression were also analyzed.
Results: All APTw-related metrics exhibited significantly higher values in IDH-wildtype gliomas than in IDH-mutant gliomas (all p < 0.001). Fit-MTRnormref had the best area under the curve (AUC) of 0.858. All APTw-related metrics in glioblastomas were significantly higher than oligodendrogliomas (all p < 0.01) and astrocytomas (all p < 0.001). No metrics had significant difference between oligodendrogliomas and astrocytomas. The highest AUCs was 0.870 for Fit-MTRnormref in distinguishing astrocytomas from glioblastomas, and 0.867 for Fit-MTRRex in distinguishing oligodendrogliomas from glioblastomas. Besides, Fit-MTRnormref had the highest correlation coefficient with Ki-67 expression of 0.578.
Conclusion: APTw-related metrics can effectively evaluate glioma IDH status, tumor subtypes and proliferation. The combination of Lorentzian fitting and the reference signal normalization could further improve the diagnostic performance, and perform better than MTRasym.
期刊介绍：
Academic Radiology publishes original reports of clinical and laboratory investigations in diagnostic imaging, the diagnostic use of radioactive isotopes, computed tomography, positron emission tomography, magnetic resonance imaging, ultrasound, digital subtraction angiography, image-guided interventions and related techniques. It also includes brief technical reports describing original observations, techniques, and instrumental developments; state-of-the-art reports on clinical issues, new technology and other topics of current medical importance; meta-analyses; scientific studies and opinions on radiologic education; and letters to the Editor.
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