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Moltoni G, Romano A, Capriotti G, Campagna G, Ascolese AM, Romano A, Dellepiane F, Minniti G, Signore A, Bozzao A. ASL, DSC, DCE perfusion MRI and 18F-DOPA PET/CT in differentiating glioma recurrence from post-treatment changes. LA RADIOLOGIA MEDICA 2024:10.1007/s11547-024-01862-3. [PMID: 39117936 DOI: 10.1007/s11547-024-01862-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Accepted: 07/25/2024] [Indexed: 08/10/2024]
Abstract
OBJECTIVES To discriminate between post-treatment changes and tumor recurrence in patients affected by glioma undergoing surgery and chemoradiation with a new enhancing lesion is challenging. We aimed to evaluate the role of ASL, DSC, DCE perfusion MRI, and 18F-DOPA PET/CT in distinguishing tumor recurrence from post-treatment changes in patients with glioma. MATERIALS AND METHODS We prospectively enrolled patients with treated glioma (surgery plus chemoradiation) and a new enhancing lesion doubtful for recurrence or post-treatment changes. Each patient underwent a 1.5T MRI examination, including ASL, DSC, and DCE PWI, and an 18F-DOPA PET/CT examination. For each lesion, we measured ASL-derived CBF and normalized CBF, DSC-derived rCBV, DCE-derived Ktrans, Vp, Ve, Kep, and PET/CT-derived SUV maximum. Clinical and radiological follow-up determined the diagnosis of tumor recurrence or post-treatment changes. RESULTS We evaluated 29 lesions (5 low-grade gliomas and 24 high-grade gliomas); 14 were malignancies, and 15 were post-treatment changes. CBF ASL, nCBF ASL, rCBV DSC, and PET SUVmax were associated with tumor recurrence from post-treatment changes in patients with glioma through an univariable logistic regression. Whereas the multivariable logistic regression results showed only nCBF ASL (p = 0.008) was associated with tumor recurrence from post-treatment changes in patients with glioma with OR = 22.85, CI95%: (2.28-228.77). CONCLUSION In our study, ASL was the best technique, among the other two MRI PWI and the 18F-DOPA PET/CT PET, in distinguishing disease recurrence from post-treatment changes in treated glioma.
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Affiliation(s)
- Giulia Moltoni
- NESMOS, Department of Neuroradiology, S. Andrea Hospital, University Sapienza, Via di Grottarossa 1035/1039, 00189, Rome, Italy.
| | - Andrea Romano
- NESMOS, Department of Neuroradiology, S. Andrea Hospital, University Sapienza, Via di Grottarossa 1035/1039, 00189, Rome, Italy
| | - Gabriela Capriotti
- Department of Medical-Surgical Sciences and Translational Medicine, University of Rome "Sapienza", Rome, Italy
| | - Giuseppe Campagna
- Department of Medical-Surgical Sciences and Translational Medicine, University of Rome "Sapienza", Rome, Italy
| | - Anna Maria Ascolese
- SMCMT Department, Radiotherapy Oncology, S. Andrea Hospital, University Sapienza, Rome, Italy
| | - Allegra Romano
- NESMOS, Department of Neuroradiology, S. Andrea Hospital, University Sapienza, Via di Grottarossa 1035/1039, 00189, Rome, Italy
| | - Francesco Dellepiane
- NESMOS, Department of Neuroradiology, S. Andrea Hospital, University Sapienza, Via di Grottarossa 1035/1039, 00189, Rome, Italy
| | - Giuseppe Minniti
- Department of Radiological, Oncological and Pathological Sciences, "Sapienza" University of Rome, 00138, Rome, Italy
- IRCCS Neuromed, 86077, Pozzilli, Italy
| | - Alberto Signore
- Department of Medical-Surgical Sciences and Translational Medicine, University of Rome "Sapienza", Rome, Italy
| | - Alessandro Bozzao
- NESMOS, Department of Neuroradiology, S. Andrea Hospital, University Sapienza, Via di Grottarossa 1035/1039, 00189, Rome, Italy
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Yamin G, Tranvinh E, Lanzman BA, Tong E, Hashmi SS, Patel CB, Iv M. Arterial Spin-Labeling and DSC Perfusion Metrics Improve Agreement in Neuroradiologists' Clinical Interpretations of Posttreatment High-Grade Glioma Surveillance MR Imaging-An Institutional Experience. AJNR Am J Neuroradiol 2024; 45:453-460. [PMID: 38453410 PMCID: PMC11288557 DOI: 10.3174/ajnr.a8190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 11/16/2023] [Indexed: 03/09/2024]
Abstract
BACKGROUND AND PURPOSE MR perfusion has shown value in the evaluation of posttreatment high-grade gliomas, but few studies have shown its impact on the consistency and confidence of neuroradiologists' interpretation in routine clinical practice. We evaluated the impact of adding MR perfusion metrics to conventional contrast-enhanced MR imaging in posttreatment high-grade glioma surveillance imaging. MATERIALS AND METHODS This retrospective study included 45 adults with high-grade gliomas who had posttreatment perfusion MR imaging. Four neuroradiologists assigned Brain Tumor Reporting and Data System scores for each examination on the basis of the interpretation of contrast-enhanced MR imaging and then after the addition of arterial spin-labeling-CBF, DSC-relative CBV, and DSC-fractional tumor burden. Interrater agreement and rater agreement with a multidisciplinary consensus group were assessed with κ statistics. Raters used a 5-point Likert scale to report confidence scores. The frequency of clinically meaningful score changes resulting from the addition of each perfusion metric was determined. RESULTS Interrater agreement was moderate for contrast-enhanced MR imaging alone (κ = 0.63) and higher with perfusion metrics (arterial spin-labeling-CBF, κ = 0.67; DSC-relative CBV, κ = 0.66; DSC-fractional tumor burden, κ = 0.70). Agreement between raters and consensus was highest with DSC-fractional tumor burden (κ = 0.66-0.80). Confidence scores were highest with DSC-fractional tumor burden. Across all raters, the addition of perfusion resulted in clinically meaningful interpretation changes in 2%-20% of patients compared with contrast-enhanced MR imaging alone. CONCLUSIONS Adding perfusion to contrast-enhanced MR imaging improved interrater agreement, rater agreement with consensus, and rater confidence in the interpretation of posttreatment high-grade glioma MR imaging, with the highest agreement and confidence scores seen with DSC-fractional tumor burden. Perfusion MR imaging also resulted in interpretation changes that could change therapeutic management in up to 20% of patients.
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Affiliation(s)
- Ghiam Yamin
- From the Department of Radiology (G.Y., E. Tranvinh, B.A.L., E. Tong, S.S.H., M.I.), Division of Neuroimaging and Neurointervention, Stanford University Medical Center, Stanford, California
| | - Eric Tranvinh
- From the Department of Radiology (G.Y., E. Tranvinh, B.A.L., E. Tong, S.S.H., M.I.), Division of Neuroimaging and Neurointervention, Stanford University Medical Center, Stanford, California
| | - Bryan A Lanzman
- From the Department of Radiology (G.Y., E. Tranvinh, B.A.L., E. Tong, S.S.H., M.I.), Division of Neuroimaging and Neurointervention, Stanford University Medical Center, Stanford, California
| | - Elizabeth Tong
- From the Department of Radiology (G.Y., E. Tranvinh, B.A.L., E. Tong, S.S.H., M.I.), Division of Neuroimaging and Neurointervention, Stanford University Medical Center, Stanford, California
| | - Syed S Hashmi
- From the Department of Radiology (G.Y., E. Tranvinh, B.A.L., E. Tong, S.S.H., M.I.), Division of Neuroimaging and Neurointervention, Stanford University Medical Center, Stanford, California
| | - Chirag B Patel
- Department of Neuro-Oncology (C.B.P.), The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Michael Iv
- From the Department of Radiology (G.Y., E. Tranvinh, B.A.L., E. Tong, S.S.H., M.I.), Division of Neuroimaging and Neurointervention, Stanford University Medical Center, Stanford, California
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Müller SJ, Khadhraoui E, Ganslandt O, Henkes H, Gihr GA. MRI Treatment Response Assessment Maps (TRAMs) for differentiating recurrent glioblastoma from radiation necrosis. J Neurooncol 2024; 166:513-521. [PMID: 38261142 DOI: 10.1007/s11060-024-04573-x] [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: 10/29/2023] [Accepted: 01/11/2024] [Indexed: 01/24/2024]
Abstract
BACKGROUND MRI treatment response assessment maps (TRAMs) were introduced to distinguish recurrent malignant glioma from therapy related changes. TRAMs are calculated with two contrast-enhanced T1-weighted sequences and reflect the "late" wash-out (or contrast clearance) and wash-in of gadolinium. Vital tumor cells are assumed to produce a wash-out because of their high turnover rate and the associated hypervascularization, whereas contrast medium slowly accumulates in scar tissue. To examine the real value of this method, we compared TRAMs with the pathology findings obtained after a second biopsy or surgery when recurrence was suspected. METHODS We retrospectively evaluated TRAMs in adult patients with histologically demonstrated glioblastoma, contrast-enhancing tissue and a pre-operative MRI between January 1, 2017, and December 31, 2022. Only patients with a second biopsy or surgery were evaluated. Volumes of the residual tumor, contrast clearance and contrast accumulation before the second surgery were analyzed. RESULTS Among 339 patients with mGBM who underwent MRI, we identified 29 repeated surgeries/biopsies in 27 patients 59 ± 12 (mean ± standard deviation) years of age. Twenty-eight biopsies were from patients with recurrent glioblastoma histology, and only one was from a patient with radiation necrosis. We volumetrically evaluated the 29 pre-surgery TRAMs. In recurrent glioblastoma, the ratio of wash-out volume to tumor volume was 36 ± 17% (range 1-73%), and the ratio of the wash-out volume to the sum of wash-out and wash-in volumes was 48 ± 21% (range 22-92%). For the one biopsy with radiation necrosis, the ratios were 42% and 54%, respectively. CONCLUSIONS Typical recurrent glioblastoma shows a > 20%ratio of the wash-out volume to the sum of wash-out and wash-in volumes. The one biopsy with radiation necrosis indicated that such necrosis can also produce high wash-out in individual cases. Nevertheless, the additional information provided by TRAMs increases the reliability of diagnosis.
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Affiliation(s)
| | - Eya Khadhraoui
- Klinik Für Neuroradiologie, Klinikum-Stuttgart, Kriegsbergstr. 60, 70174, Stuttgart, Germany
| | - Oliver Ganslandt
- Abteilung Für Neurochirurgie, Klinikum-Stuttgart, Stuttgart, Germany
| | - Hans Henkes
- Klinik Für Neuroradiologie, Klinikum-Stuttgart, Kriegsbergstr. 60, 70174, Stuttgart, Germany
| | - Georg Alexander Gihr
- Klinik Für Neuroradiologie, Klinikum-Stuttgart, Kriegsbergstr. 60, 70174, Stuttgart, Germany
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Alsulami TA, Hyare H, Thomas DL, Golay X. The value of arterial spin labelling (ASL) perfusion MRI in the assessment of post-treatment progression in adult glioma: A systematic review and meta-analysis. Neurooncol Adv 2023; 5:vdad122. [PMID: 37841694 PMCID: PMC10576519 DOI: 10.1093/noajnl/vdad122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2023] Open
Abstract
Background The distinction between viable tumor and therapy-induced changes is crucial for the clinical management of patients with gliomas. This study aims to quantitatively assess the efficacy of arterial spin labeling (ASL) biomarkers, including relative cerebral blood flow (rCBF) and absolute cerebral blood flow (CBF), for the discrimination of progressive disease (PD) and treatment-related effects. Methods Eight articles were included in the synthesis after searching the literature systematically. Data have been extracted and a meta-analysis using the random-effect model was subsequently carried out. Diagnostic accuracy assessment was also performed. Results This study revealed that there is a significant difference in perfusion measurements between groups with PD and therapy-induced changes. The rCBF yielded a standardized mean difference (SMD) of 1.25 [95% CI 0.75, 1.75] (p < .00001). The maximum perfusion indices (rCBFmax and CBFmax) both showed equivalent discriminatory ability, with SMD of 1.35 [95% CI 0.78, 1.91] (p < .00001) and 1.56 [95% CI 0.79, 2.33] (p < .0001), respectively. Similarly, accuracy estimates were comparable among ASL-derived metrices. Pooled sensitivities [95% CI] were 0.85 [0.67, 0.94], 0.88 [0.71, 0.96], and 0.93 [0.73, 0.98], and pooled specificities [95% CI] were 0.83 [0.71, 0.91], 0.83 [0.67, 0.92], 0.84 [0.67, 0.93], for rCBF, rCBFmax and CBFmax, respectively. Corresponding HSROC area under curve (AUC) [95% CI] were 0.90 [0.87, 0.92], 0.92 [0.89, 0.94], and 0.93 [0.90, 0.95]. Conclusion These results suggest that ASL quantitative biomarkers, particularly rCBFmax and CBFmax, have the potential to discriminate between glioma progression and therapy-induced changes.
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Affiliation(s)
- Tamadur A Alsulami
- Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Department of Diagnostic Radiology, Faculty of Applied Medical Sciences, King Abdulaziz University (KAU), Jeddah, Saudi Arabia
| | - Harpreet Hyare
- Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- University College London Hospitals NHS Foundation Trust, London, UK
| | - David L Thomas
- Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Xavier Golay
- Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, University College Hospitals NHS Trust, London, UK
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