1
|
Li X, Xiao X, Han X, Cheng Y, Cui B, Zhang M, Liu H, Lu J. Magnetic resonance spectroscopy for enhanced multiparametric MRI characterization of [ 18F]FET PET-negative gliomas. EJNMMI Res 2025; 15:37. [PMID: 40195261 PMCID: PMC11977091 DOI: 10.1186/s13550-025-01224-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2024] [Accepted: 03/11/2025] [Indexed: 04/09/2025] Open
Abstract
BACKGROUND Approximately 30-36% of gliomas presented with [18F]fluoroethyl-L-tyrosine ([18F]FET) PET-negative at primary diagnosis, which interferes with the differentiation of gliomas from other isolated brain lesions. Preoperative noninvasive identification of [18F]FET PET-negative gliomas to aggressive surgical treatment could reduce ineffective treatment and improve prognosis. This study aimed to assess the potential utility of multiparametric MRI with 1H-magnetic resonance spectroscopy (1H-MRS) in the diagnosis of gliomas within [18F]FET PET-negative isolated cerebral lesions. RESULTS A total of 51 patients (mean age 44.35 ± 27.15 years, 26 males) with 37 gliomas and 14 non-gliomas were recruited for the study. More than half of PET-negative gliomas presented T2-FLAIR mismatch sign, whereas non-gliomas were more likely to present absence of T2-FLAIR mismatch sign (54.05% vs. 7.14%, p < 0.001). Choline to creatine (Cho/Cr) ratios in gliomas were significantly higher than those in non-gliomas (2.21 vs. 1.30, p < 0.001). Multiparametric MRI (AUC = 0.88) outperformed conventional MRI (AUC = 0.72) in differentiating gliomas from non-gliomas (NRI = 0.29, p = 0.02). And WHO grade was correlated with Cho/Cr and total lesion tracer standardized uptake (TLU) (r = 0.43 and 0.55; p = 0.007 and < 0.001; respectively). Low-grade PET-negative gliomas exhibit low levels of both TLU and Cho/Cr, but the distribution of TLU and Cho/Cr is more variable in high-grade gliomas. Furthermore, there was a moderated correlation between TLU and Cho/Cr in low-grade PET-negative gliomas (r = 0.54, p = 0.017), whereas there was no correlation in the high-grade PET-negative gliomas (r = -0.017, p = 0.95). CONCLUSION Multiparametric MRI with 1H-MRS demonstrates significant promise in enhancing the diagnosis and overall clinical management for [18F]FET PET-negative gliomas. Moreover, the correlation between TLU and Cho/Cr that was affected by tumor grading of 2021 WHO criteria provides a rationale for further research into the mechanisms of reduced [18F]FET uptake in gliomas.
Collapse
Affiliation(s)
- Xiaoran Li
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Capital Medical University, Beijing, China
| | - Xinru Xiao
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xin Han
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Capital Medical University, Beijing, China
| | - Ye Cheng
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Bixiao Cui
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Capital Medical University, Beijing, China
| | - Meng Zhang
- Department of Pathology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | | | - Jie Lu
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China.
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Capital Medical University, Beijing, China.
| |
Collapse
|
2
|
Ramaglia A, Parodi C, Milanaccio C, Verrico A, Molteni M, Garrè ML, Pacetti M, Vella S, Resaz M, Tortora D, Severino M, Rossi A. Use of amide proton transfer (APT) imaging in the differentiation of pediatric low-grade brain tumors from tumor-like brain lesions. Neuroradiology 2025:10.1007/s00234-025-03582-5. [PMID: 40116946 DOI: 10.1007/s00234-025-03582-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2024] [Accepted: 03/02/2025] [Indexed: 03/23/2025]
Abstract
BACKGROUND AND PURPOSE Low grade tumors (LGT) are the most frequent central nervous system lesions observed in children. Despite the high-throughput research, differentiating LGT from tumor- like lesions (TLL) and providing an accurate differential diagnosis based on conventional MRI remains a challenge. For this reason, advanced MR sequences are routinely investigated and applied in clinical practice. The aim of this study is to explore the potential of the amide proton transfer (APTw) sequence as a tool for discriminating LGT from TLL. MATERIALS AND METHODS In this single-center retrospective study, we recruited 35 patients (20 with a histologically confirmed LGT, and 15 with a TLL) with both conventional and APT MRI images obtained on a 3T clinical scanner at onset or prior to treatment/surgery. Two volumes of interest (VOI), namely the whole lesion and the normal appearing white matter (NAWM), were defined using the semi-automatic segmentation tool from Philips Intellispace portal for Windows (v. 8). The mean APTw (mAPTw) and difference between the mAPTw lesion and the NAWM (dAPTw) were measured and compared between the two groups. RESULTS Lower values were found in the TLL group compared to the LGT group for both the mAPTw (1.51 ± 0.64% vs. 2.87 ± 0.96%) and dAPTw (0.24 ± 0.72% vs. 1.53 ± 1.08%) (p-value < 0.001). Based on ROC curve analysis, optimal cut-offs value for mAPTw and dATPw were 1.79 and 0.53, respectively. CONCLUSION APT imaging may prove useful to discriminate between LGT and TLL in pediatric patients.
Collapse
Affiliation(s)
- Antonia Ramaglia
- Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, Genoa, 16147, Italy.
| | - Costanza Parodi
- Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, Genoa, 16147, Italy
| | - Claudia Milanaccio
- Neuro-Oncology Unit, IRCCS Istituto Giannina Gaslini, Genoa, 16147, Italy
| | - Antonio Verrico
- Neuro-Oncology Unit, IRCCS Istituto Giannina Gaslini, Genoa, 16147, Italy
| | - Marta Molteni
- Neuro-Oncology Unit, IRCCS Istituto Giannina Gaslini, Genoa, 16147, Italy
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy
| | - Maria Luisa Garrè
- Neuro-Oncology Unit, IRCCS Istituto Giannina Gaslini, Genoa, 16147, Italy
| | - Mattia Pacetti
- Division of Neurosurgery, IRCCS Istituto Giannina Gaslini, Genoa, 16147, Italy
| | - Stephanie Vella
- Medical Imaging Department, Mater Dei Hospital, Msida, Malta
| | - Martina Resaz
- Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, Genoa, 16147, Italy
| | - Domenico Tortora
- Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, Genoa, 16147, Italy
| | | | - Andrea Rossi
- Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, Genoa, 16147, Italy
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| |
Collapse
|
3
|
Mohammadi S, Ghaderi S, Jouzdani AF, Azinkhah I, Alibabaei S, Azami M, Omrani V. Differentiation Between High-Grade Glioma and Brain Metastasis Using Cerebral Perfusion-Related Parameters (Cerebral Blood Volume and Cerebral Blood Flow): A Systematic Review and Meta-Analysis of Perfusion-weighted MRI Techniques. J Magn Reson Imaging 2025; 61:758-768. [PMID: 38899965 DOI: 10.1002/jmri.29473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 05/21/2024] [Accepted: 05/22/2024] [Indexed: 06/21/2024] Open
Abstract
BACKGROUND Distinguishing high-grade gliomas (HGGs) from brain metastases (BMs) using perfusion-weighted imaging (PWI) remains challenging. PWI offers quantitative measurements of cerebral blood flow (CBF) and cerebral blood volume (CBV), but optimal PWI parameters for differentiation are unclear. PURPOSE To compare CBF and CBV derived from PWIs in HGGs and BMs, and to identify the most effective PWI parameters and techniques for differentiation. STUDY TYPE Systematic review and meta-analysis. POPULATION Twenty-four studies compared CBF and CBV between HGGs (n = 704) and BMs (n = 488). FIELD STRENGTH/SEQUENCE Arterial spin labeling (ASL), dynamic susceptibility contrast (DSC), dynamic contrast-enhanced (DCE), and dynamic susceptibility contrast-enhanced (DSCE) sequences at 1.5 T and 3.0 T. ASSESSMENT Following the PRISMA guidelines, four major databases were searched from 2000 to 2024 for studies evaluating CBF or CBV using PWI in HGGs and BMs. STATISTICAL TESTS Standardized mean difference (SMD) with 95% CIs was used. Risk of bias (ROB) and publication bias were assessed, and I2 statistic was used to assess statistical heterogeneity. A P-value<0.05 was considered significant. RESULTS HGGs showed a significant modest increase in CBF (SMD = 0.37, 95% CI: 0.05-0.69) and CBV (SMD = 0.26, 95% CI: 0.01-0.51) compared with BMs. Subgroup analysis based on region, sequence, ROB, and field strength for CBF (HGGs: 375 and BMs: 222) and CBV (HGGs: 493 and BMs: 378) values were conducted. ASL showed a considerable moderate increase (50% overlapping CI) in CBF for HGGs compared with BMs. However, no significant difference was found between ASL and DSC (P = 0.08). DATA CONCLUSION ASL-derived CBF may be more useful than DSC-derived CBF in differentiating HGGs from BMs. This suggests that ASL may be used as an alternative to DSC when contrast medium is contraindicated or when intravenous injection is not feasible. LEVEL OF EVIDENCE: 1 TECHNICAL EFFICACY Stage 2.
Collapse
Affiliation(s)
- Sana Mohammadi
- Neuromuscular Research Center, Department of Neurology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Sadegh Ghaderi
- Neuromuscular Research Center, Department of Neurology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
- Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Ali Fathi Jouzdani
- Neuroscience and Artificial Intelligence Research Group (NAIRG), Department of Neuroscience, School of Science and Advanced Technologies in Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Iman Azinkhah
- Medical Physics Department, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Sanaz Alibabaei
- Department of Medical Physics, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Mobin Azami
- Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Vida Omrani
- School Medical Physics Department, School of paramedical Sciences, Bushehr University of Medical Sciences, Bushehr, Iran
| |
Collapse
|
4
|
Xie X, Mo L, Liu P, Liu C, Liu M, Deng Y, Zhang P, Yuan J, Song T, Ma L. Application of 3D-PCASL combined with t-ASL and MRA in the diagnosis of patients with isolated vertigo induced by posterior circulation ischemia. Magn Reson Imaging 2024; 110:78-85. [PMID: 38636674 DOI: 10.1016/j.mri.2024.04.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Revised: 04/09/2024] [Accepted: 04/10/2024] [Indexed: 04/20/2024]
Abstract
OBJECTIVES Isolated vertigo induced by posterior circulation ischemia (PCIV) can further progress into posterior circulation infarction. This study aimed to explore the diagnostic values of three-dimensional pseudo-continuous arterial spin labeling (3D-PCASL) combined with territorial arterial spin labeling (t-ASL) and magnetic resonance angiography (MRA) in visualizing and evaluating PCIV, seeking improved diagnostic tools for clinical guidance. METHODS 28 PCIVs (11 males, 17 females, aged from 55 to 83 years, mean age: 69.68 ± 9.01 years) and 28 healthy controls (HCs, 12 male, 16 female, aged from 56 to 87 years, mean age: 66.75 ± 9.86 years) underwent conventional magnetic resonance imaging (MRI), diffusion-weighted imaging (DWI), MRA, 3D-PCASL, and t-ASL. We compared the incidence of anatomic variants of the posterior circle of Willis in MRA, cerebral blood flow (CBF) and anterior collateral blood flow on postprocessing maps obtained from 3D-PCASL and t-ASL sequence between PCIVs and HCs. Chi-square test and paired t-test were analyzed statistically with SPSS 24.0 software. RESULTS 7 PCIVs (7/28, 25%) and 6 HCs (6/28, 21%) showed fetal posterior cerebral artery (FPCA) on MRA, including 1 HC, and 6 PCIVs with FPCA appeared hypoperfusion. 18 PCIVs (64%) and 2 HCs (7%) showed hypoperfusion in the posterior circulation (PC), including 1 HC and 7 PCIVs displayed anterior circulation collateral flow. Chi-square analyses demonstrated a difference in PC hypoperfusion between PCIVs and HCs, whether in the whole or FPCA-positive group assessment (P < 0.05). Paired t-test showed that the CBF values were significant difference for the bilateral PC asymmetrical perfusion in the PCIVs (P < 0.01). When compared to the bilateral PC symmetrical non-hypoperfusion area in the PCIVs and HCs, the CBF values were not significant (P > 0.05). The CBF values of the PC in PCIVs were lower than in HCs (P < 0.05). The reduction rate in the hypoperfusion side of the bilateral PC asymmetrical perfusion of the PCIVs ranged from 4% to 37%, while the HCs reduction rate was 7.7%. The average PC symmetrical perfusion average reduction rate of the PCIVs was 52.25%, while the HCs reduction rate was 42.75%. CONCLUSION 3D-PCASL is a non-invasive and susceptible method for detecting hypoperfusion in PC, serving as a potential biomarker of PCIV. The suspected hypoperfusion in PC may be attributed to the emergence of FPCA and the manifestation of anterior collateral flow when combining t-ASL and MRA sequences. These findings demonstrated that 3D-PCASL combined with t-ASL and MRA sequences are the potential method to identify PCIV, leading to early diagnosis of PCIV and reducing the risk of progressing into infarction.
Collapse
Affiliation(s)
- Xiaotong Xie
- Department of Medical Imaging, The First Affiliated Hospital of Guangdong Pharmaceutical University, No.19, Nong Lin Xia Road, Guangzhou, Guangdong Province 510030, People's Republic of China
| | - Lingjiang Mo
- Department of Medical Imaging, The First Affiliated Hospital of Guangdong Pharmaceutical University, No.19, Nong Lin Xia Road, Guangzhou, Guangdong Province 510030, People's Republic of China
| | - Peifan Liu
- Department of Medical Imaging, The First Affiliated Hospital of Guangdong Pharmaceutical University, No.19, Nong Lin Xia Road, Guangzhou, Guangdong Province 510030, People's Republic of China
| | - Chunxing Liu
- Department of Medical Imaging, The First Affiliated Hospital of Guangdong Pharmaceutical University, No.19, Nong Lin Xia Road, Guangzhou, Guangdong Province 510030, People's Republic of China
| | - Mouyuan Liu
- Department of Medical Imaging, The First Affiliated Hospital of Guangdong Pharmaceutical University, No.19, Nong Lin Xia Road, Guangzhou, Guangdong Province 510030, People's Republic of China
| | - Yongyan Deng
- Department of Medical Imaging, The First Affiliated Hospital of Guangdong Pharmaceutical University, No.19, Nong Lin Xia Road, Guangzhou, Guangdong Province 510030, People's Republic of China
| | - Peina Zhang
- Department of Medical Imaging, The First Affiliated Hospital of Guangdong Pharmaceutical University, No.19, Nong Lin Xia Road, Guangzhou, Guangdong Province 510030, People's Republic of China
| | - Jinglei Yuan
- Department of Medical Imaging, The First Affiliated Hospital of Guangdong Pharmaceutical University, No.19, Nong Lin Xia Road, Guangzhou, Guangdong Province 510030, People's Republic of China
| | - Ting Song
- Department of Radiology, The Third Affiliated Hospital of Guangzhou Medical University, 63 Duobao Road, Guangzhou, Guangdong Province 510150, People's Republic of China.
| | - Liheng Ma
- Department of Medical Imaging, The First Affiliated Hospital of Guangdong Pharmaceutical University, No.19, Nong Lin Xia Road, Guangzhou, Guangdong Province 510030, People's Republic of China.
| |
Collapse
|
5
|
Wang XH, Liu XF, Ao M, Wang T, He J, Gu YW, Fan JW, Yang L, Yu R, Guo S. Cerebral Perfusion Patterns of Anxiety State in Patients With Pulmonary Nodules: A Study of Cerebral Blood Flow Based on Arterial Spin Labeling. Front Neurosci 2022; 16:912665. [PMID: 35615271 PMCID: PMC9125149 DOI: 10.3389/fnins.2022.912665] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 04/21/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND AND PURPOSE The proportion of patients with somatic diseases associated with anxiety is increasing each year, and pulmonary nodules have become a non-negligible cause of anxiety, the mechanism of which is unclear. The study focus on the cerebral blood flow (CBF) of anxiety in patients with pulmonary nodules to explore the cerebral perfusion pattern of anxiety associated with pulmonary nodules, blood perfusion status and mode of pulmonary nodule induced anxiety state. MATERIALS AND METHODS Patients with unconfirmed pulmonary nodules were evaluated by Hamilton Anxiety Scale (HAMA). The total score > 14 was defined as anxiety group, and the total score ≤ 14 points was defined as non-anxiety group. A total of 38 patients were enrolled, of which 19 patients were the anxiety group and 19 were the non-anxiety group. All subjects underwent arterial spin labeling imaging using a 3.0 T MRI. A two-sample t-test was performed to compare the CBF between the two groups. The CBF was extracted in brain regions with difference, and Spearman correlation was used to analyze the correlation between CBF and HAMA scores; ROC was used to analyze the performance of CBF to distinguish between the anxiety group and the non-anxiety group. RESULTS The CBF in the right insula/Heschl's cortex of the anxiety group decreased (cluster = 109, peak t = 4.124, and P < 0.001), and the CBF in the right postcentral gyrus increased (cluster = 53, peak t = -3.912, and P < 0.001) in the anxiety group. But there was no correlation between CBF and HAMA score. The ROC analysis of the CBF of the right insula/Heschl's cortex showed that the AUC was 0.856 (95%CI, 0.729, 0.983; P < 0.001), the optimal cutoff value of the CBF was 50.899, with the sensitivity of 0.895, and specificity of 0.789. The ROC analysis of CBF in the right postcentral gyrus showed that the AUC was 0.845 (95%CI, 0.718, 0.972; P < 0.001), the optimal cutoff value of CBF was 43.595, with the sensitivity of 0.737, and specificity of 0.842. CONCLUSION The CBF of the right insula/Heschl's cortex decreased and the CBF of the right postcentral gyrus increased in patients with pulmonary nodules under anxiety state, and the CBF of the aforementioned brain regions can accurately distinguish the anxiety group from the non-anxiety group.
Collapse
Affiliation(s)
- Xiao-Hui Wang
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiao-Fan Liu
- School of Medical Technology, Shaanxi University of Chinese Medicine, Xianyang, China
| | - Min Ao
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ting Wang
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jinglan He
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yue-Wen Gu
- Department of Clinical Psychology, Fourth Military Medical University, Xi’an, China
| | - Jing-Wen Fan
- Department of Clinical Psychology, Fourth Military Medical University, Xi’an, China
| | - Li Yang
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Renqiang Yu
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Shuliang Guo
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| |
Collapse
|