1
|
Xing Z, Wang C, Yang W, She D, Yang X, Cao D. Predicting glioblastoma recurrence using multiparametric MR imaging of non-enhancing peritumoral regions at baseline. Heliyon 2024; 10:e30411. [PMID: 38711642 PMCID: PMC11070862 DOI: 10.1016/j.heliyon.2024.e30411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 04/24/2024] [Accepted: 04/25/2024] [Indexed: 05/08/2024] Open
Abstract
Background To assess the feasibility of multiparametric magnetic resonance imaging in predicting tumor recurrence in nonenhancing peritumoral regions in patients with glioblastoma at baseline. Methods Fifty-eight patients with recurrent glioblastoma underwent multiparametric magnetic resonance imaging, including T2-weighted fluid-attenuated inversion recovery, diffusion-weighted imaging, and dynamic susceptibility contrast perfusion-weighted imaging. Nonenhancing peritumoral regions with glioblastoma recurrence were identified by coregistering preoperative and post-recurrent magnetic resonance images. Regions of interest were placed in nonenhancing peritumoral regions with and without tumor recurrence to calculate the apparent diffusion coefficient value, and relative ratios of T2-weighted fluid-attenuated inversion recovery signal intensity, apparent diffusion coefficient, and cerebral blood volume values. Results Significant lower relative T2-weighted fluid-attenuated inversion recovery signal intensity, apparent diffusion coefficient, and relative apparent diffusion coefficient but higher relative cerebral blood volume values were found in the nonenhancing peritumoral regions with tumor recurrence than without recurrence (all P < 0.05). The threshold values ≥ 0.89 for relative cerebral blood volume provide the optimal performance for predicting the nonenhancing peritumoral regions with future tumor recurrence, with the sensitivity, specificity, and accuracy of 84.7%, 83.6%, and 85.8%, respectively. The combination of relative T2-weighted fluid-attenuated inversion recovery signal intensity, apparent diffusion coefficient, and relative cerebral blood volume can provide better predictive performance than relative cerebral blood volume (P = 0.015). Conclusion The combined use of T2-weighted fluid-attenuated inversion recovery, diffusion-weighted imaging, and dynamic susceptibility contrast perfusion-weighted imaging can effectively estimate the risk of future tumor recurrence at baseline.
Collapse
Affiliation(s)
- Zhen Xing
- Department of Radiology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, Fujian, China
| | - Cong Wang
- Department of Nuclear Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
| | - Wen Yang
- The Webb Schools, Claremont, CA, 91711, USA
| | - Dejun She
- Department of Radiology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, Fujian, China
| | - Xiefeng Yang
- Department of Radiology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, Fujian, China
| | - Dairong Cao
- Department of Radiology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, Fujian, China
- Department of Radiology, Fujian Key Laboratory of Precision Medicine for Cancer, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Key Laboratory of Radiation Biology of Fujian Higher Education Institutions, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
| |
Collapse
|
2
|
Huisman TAGM, Patel R, Kralik S, Desai NK, Meoded A, Chen K, Weiner HL, Curry DJ, Lequin M, Kranendonk M, Orman G, Jallo G. Advances in Imaging Modalities for Pediatric Brain and Spinal Cord Tumors. Pediatr Neurosurg 2023; 58:240-258. [PMID: 37604135 DOI: 10.1159/000531998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 07/05/2023] [Indexed: 08/23/2023]
Abstract
BACKGROUND Neuroimaging has evolved from anatomical imaging toward a multi-modality comprehensive anatomical and functional imaging in the past decades, important functional data like perfusion-weighted imaging, permeability imaging, diffusion-weighted imaging (DWI), and diffusion tensor imaging (DTI), tractography, metabolic imaging, connectomics, event-related functional imaging, resting state functional imaging, and much more is now being offered. SUMMARY Precision diagnostics has proven to be essential for precision treatment. Many minimal invasive techniques have been developed, taking advantage of digital subtraction angiography and interventional neuroradiology. Furthermore, intraoperative CT and/or MRI and more recently MR-guided focused ultrasound have complemented the diagnostic and therapeutic armamentarium. KEY MESSAGES In the current manuscript, we discuss standard imaging sequences including advanced techniques like DWI, DTI, susceptibility-weighted imaging, and 1H magnetic resonance spectroscopy, various perfusion weighted imaging approaches including arterial spin labeling, dynamic contrast enhanced imaging, and dynamic susceptibility contrast imaging. Pre-, intra, and postoperative surgical imaging including visualize imaging will be discussed. The value of connectomics will be presented for its value in neuro-oncology. Minimal invasive therapeutic possibilities of interventional neuroradiology and image-guided laser ablation and MR-guided high-intensity-focused ultrasound will be presented for treatment of pediatric brain and spinal cord tumors. Finally, a comprehensive review of spinal cord tumors and matching neuropathology has been included.
Collapse
Affiliation(s)
- Thierry A G M Huisman
- Divisions of Neuroradiology and Interventional Radiology, Edward B. Singleton Department of Radiology, Texas Children's Hospital and Baylor College of Medicine, Houston, Texas, USA
| | - Rajan Patel
- Divisions of Neuroradiology and Interventional Radiology, Edward B. Singleton Department of Radiology, Texas Children's Hospital and Baylor College of Medicine, Houston, Texas, USA
| | - Stephen Kralik
- Divisions of Neuroradiology and Interventional Radiology, Edward B. Singleton Department of Radiology, Texas Children's Hospital and Baylor College of Medicine, Houston, Texas, USA
| | - Nilesh K Desai
- Divisions of Neuroradiology and Interventional Radiology, Edward B. Singleton Department of Radiology, Texas Children's Hospital and Baylor College of Medicine, Houston, Texas, USA
| | - Avner Meoded
- Divisions of Neuroradiology and Interventional Radiology, Edward B. Singleton Department of Radiology, Texas Children's Hospital and Baylor College of Medicine, Houston, Texas, USA
| | - Karen Chen
- Divisions of Neuroradiology and Interventional Radiology, Edward B. Singleton Department of Radiology, Texas Children's Hospital and Baylor College of Medicine, Houston, Texas, USA
| | - Howard L Weiner
- Division of Pediatric Neurosurgery, Department of Surgery, Texas Children's Hospital and Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Daniel J Curry
- Division of Pediatric Neurosurgery, Department of Surgery, Texas Children's Hospital and Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Maarten Lequin
- Department of Radiology, Wilhelmina Children's Hospital and Princess Maxima Center for Pediatric Oncology University Medical Center Utrecht, Utrecht, The Netherlands
| | - Mariette Kranendonk
- Department of Pathobiology, Princess Maxima Center for Pediatric Oncology University Medical Center Utrecht, Utrecht, The Netherlands
| | - Gunes Orman
- Divisions of Neuroradiology and Interventional Radiology, Edward B. Singleton Department of Radiology, Texas Children's Hospital and Baylor College of Medicine, Houston, Texas, USA,
| | - George Jallo
- Department of Neurosurgery, Institute for Brain Protection Sciences, Johns Hopkins University School of Medicine, Johns Hopkins All Children's Hospital, Saint Petersburg, Florida, USA
| |
Collapse
|
3
|
Seo M, Choi Y, Soo Lee Y, Ahn KJ, Kim BS, Park JS, Jeon SS. Glioma grading using multiparametric MRI: head-to-head comparison among dynamic susceptibility contrast, dynamic contrast-enhancement, diffusion-weighted images, and MR spectroscopy. Eur J Radiol 2023; 165:110888. [PMID: 37257338 DOI: 10.1016/j.ejrad.2023.110888] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 05/20/2023] [Indexed: 06/02/2023]
Abstract
PURPOSE To assess the diagnostic accuracy of dynamic susceptibility contrast, dynamic contrast-enhancement, MR spectroscopy (MRS), and diffusion-weighted imaging for differentiating high-grade (HGGs) from low-grade gliomas (LGGs). METHODS Seventy-two patients (16 LGGs, 56 HGGs) with pathologically confirmed gliomas were retrospectively included. From three-dimensionally segmented tumor, histogram analyses of relative cerebral blood volume (rCBV), volume transfer constant (Ktrans), and apparent diffusion coefficient (ADC) were performed. Choline-to-creatinine ratio (Cho/Cr) was calculated using MRS. Logistic regression analyses were performed to differentiate HGGs (grade ≥ 3) from LGGs (grade ≤ 2). Areas under the receiver operating characteristics curves (AUC) were plotted. Subgroup analysis was performed between IDH-wildtype glioblastomas and IDH-mutant astrocytomas. Pairwise Spearman's correlation coefficients (ρ) were computed. RESULTS HGGs had higher 95th percentile rCBV, Ktrans and Cho/Cr (P < 0.01) than LGGs. AUC of 95th percentiles of rCBV and Ktrans were 0.79 (95% CI, 0.67-0.91) and 0.74 (95% CI, 0.59-0.88), respectively. AUC of 5th percentile of ADC was 0.63 (95% CI, 0.48-0.79), and that of Cho/Cr was 0.67 (95% CI, 0.52-0.81). IDH-wildtype glioblastomas and IDH-mutant astrocytomas showed significantly different 95th percentile rCBV (P = 0.04) and Ktrans (P < 0.01), with Ktrans showing the highest AUC (0.73, 95% CI 0.57-0.89) in IDH status prediction. Moderate correlations were observed between 95th percentile rCBV and Ktrans (ρ = 0.47), Cho/Cr (ρ = 0.40), and 5th percentile ADC (ρ = -0.36) (all P < 0.01). CONCLUSIONS The 95th percentile rCBV may be most helpful in discriminating HGGs from LGGs. The 95th percentile Ktrans may aid predicting IDH status of diffuse gliomas.
Collapse
Affiliation(s)
- Minkook Seo
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Yangsean Choi
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
| | - Youn Soo Lee
- Department of Hospital Pathology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Kook-Jin Ahn
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Bum-Soo Kim
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jae-Sung Park
- Department of Neurosurgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Sin-Soo Jeon
- Department of Neurosurgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| |
Collapse
|
4
|
Vats N, Sengupta A, Gupta RK, Patir R, Vaishya S, Ahlawat S, Saini J, Agarwal S, Singh A. Differentiation of Pilocytic Astrocytoma from Glioblastoma using a Machine-Learning framework based upon quantitative T1 perfusion MRI. Magn Reson Imaging 2023; 98:76-82. [PMID: 36572323 DOI: 10.1016/j.mri.2022.12.013] [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: 07/25/2022] [Revised: 12/22/2022] [Accepted: 12/22/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND AND PURPOSE Differentiation of pilocytic astrocytoma (PA) from glioblastoma is difficult using conventional MRI parameters. The purpose of this study was to differentiate these two similar in appearance tumors using quantitative T1 perfusion MRI parameters combined under a machine learning framework. MATERIALS AND METHODS This retrospective study included age/sex and location matched 26 PA and 33 glioblastoma patients with tumor histopathological characterization performed using WHO 2016 classification. Multi-parametric MRI data were acquired at 3 T scanner and included T1 perfusion and DWI data along with conventional MRI images. Analysis of T1 perfusion data using a leaky-tracer-kinetic-model, first-pass-model and piecewise-linear-model resulted in multiple quantitative parameters. ADC maps were also computed from DWI data. Tumors were segmented into sub-components such as enhancing and non-enhancing regions, edema and necrotic/cystic regions using T1 perfusion parameters. Enhancing and non-enhancing regions were combined and used as an ROI. A support-vector-machine classifier was developed for the classification of PA versus glioblastoma using T1 perfusion MRI parameters/features. The feature set was optimized using a random-forest based algorithm. Classification was also performed between the two tumor types using the ADC parameter. RESULTS T1 perfusion parameter values were significantly different between the two groups. The combination of T1 perfusion parameters classified tumors more accurately with a cross validated error of 9.80% against that of ADC's 17.65% error. CONCLUSION The approach of using quantitative T1 perfusion parameters based upon a support-vector-machine classifier reliably differentiated PA from glioblastoma and performed better classification than ADC.
Collapse
Affiliation(s)
- Neha Vats
- Centre for Biomedical Engineering, IIT Delhi, New Delhi, India; Clinic for Diagnostic and Interventional Radiology (DIR), Heidelberg University Hospital, Heidelberg, Germany
| | - Anirban Sengupta
- Centre for Biomedical Engineering, IIT Delhi, New Delhi, India; Vanderbilt University Institute of Imaging Science, Nashville, TN 37232, United States; Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, United States
| | - Rakesh K Gupta
- Department of Radiology, Fortis Memorial Research Institute, Gurugram, India
| | - Rana Patir
- Department of Neurosurgery, Fortis Memorial Research Institute, Gurugram, India
| | - Sandeep Vaishya
- Department of Neurosurgery, Fortis Memorial Research Institute, Gurugram, India
| | - Sunita Ahlawat
- SRL Diagnostics, Fortis Memorial Research Institute, Gurugram, India
| | - Jitender Saini
- Department of Neuroimaging & Interventional Radiology, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
| | - Sumeet Agarwal
- Department of Electrical Engineering, IIT Delhi, New Delhi, India
| | - Anup Singh
- Centre for Biomedical Engineering, IIT Delhi, New Delhi, India; Department for Biomedical Engineering, AIIMS, Delhi, New Delhi, India.
| |
Collapse
|
5
|
Nabavizadeh A, Barkovich MJ, Mian A, Ngo V, Kazerooni AF, Villanueva-Meyer JE. Current state of pediatric neuro-oncology imaging, challenges and future directions. Neoplasia 2023; 37:100886. [PMID: 36774835 PMCID: PMC9945752 DOI: 10.1016/j.neo.2023.100886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 01/20/2023] [Accepted: 02/05/2023] [Indexed: 02/12/2023]
Abstract
Imaging plays a central role in neuro-oncology including primary diagnosis, treatment planning, and surveillance of tumors. The emergence of quantitative imaging and radiomics provided an uprecedented opportunity to compile mineable databases that can be utilized in a variety of applications. In this review, we aim to summarize the current state of conventional and advanced imaging techniques, standardization efforts, fast protocols, contrast and sedation in pediatric neuro-oncologic imaging, radiomics-radiogenomics, multi-omics and molecular imaging approaches. We will also address the existing challenges and discuss future directions.
Collapse
Affiliation(s)
- Ali Nabavizadeh
- Department of Radiology, Hospital of University of Pennsylvania, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, Pennsylvania, USA; Center for Data-Driven Discovery in Biomedicine (D3b), Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
| | - Matthew J Barkovich
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA
| | - Ali Mian
- Division of Neuroradiology, Mallinckrodt Institute of Radiology, Washington University in St. Louis, Missouri, USA
| | - Van Ngo
- Saint Louis University School of Medicine, St. Louis, Missouri, USA
| | - Anahita Fathi Kazerooni
- Center for Data-Driven Discovery in Biomedicine (D3b), Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Javier E Villanueva-Meyer
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA
| |
Collapse
|
6
|
Withey SB, MacPherson L, Oates A, Powell S, Novak J, Abernethy L, Pizer B, Grundy R, Morgan PS, Bailey S, Mitra D, Arvanitis TN, Auer DP, Avula S, Peet AC. Dynamic susceptibility-contrast magnetic resonance imaging with contrast agent leakage correction aids in predicting grade in pediatric brain tumours: a multicenter study. Pediatr Radiol 2022; 52:1134-1149. [PMID: 35290489 PMCID: PMC9107460 DOI: 10.1007/s00247-021-05266-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 08/31/2021] [Accepted: 12/11/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Relative cerebral blood volume (rCBV) measured using dynamic susceptibility-contrast MRI can differentiate between low- and high-grade pediatric brain tumors. Multicenter studies are required for translation into clinical practice. OBJECTIVE We compared leakage-corrected dynamic susceptibility-contrast MRI perfusion parameters acquired at multiple centers in low- and high-grade pediatric brain tumors. MATERIALS AND METHODS Eighty-five pediatric patients underwent pre-treatment dynamic susceptibility-contrast MRI scans at four centers. MRI protocols were variable. We analyzed data using the Boxerman leakage-correction method producing pixel-by-pixel estimates of leakage-uncorrected (rCBVuncorr) and corrected (rCBVcorr) relative cerebral blood volume, and the leakage parameter, K2. Histological diagnoses were obtained. Tumors were classified by high-grade tumor. We compared whole-tumor median perfusion parameters between low- and high-grade tumors and across tumor types. RESULTS Forty tumors were classified as low grade, 45 as high grade. Mean whole-tumor median rCBVuncorr was higher in high-grade tumors than low-grade tumors (mean ± standard deviation [SD] = 2.37±2.61 vs. -0.14±5.55; P<0.01). Average median rCBV increased following leakage correction (2.54±1.63 vs. 1.68±1.36; P=0.010), remaining higher in high-grade tumors than low grade-tumors. Low-grade tumors, particularly pilocytic astrocytomas, showed T1-dominant leakage effects; high-grade tumors showed T2*-dominance (mean K2=0.017±0.049 vs. 0.002±0.017). Parameters varied with tumor type but not center. Median rCBVuncorr was higher (mean = 1.49 vs. 0.49; P=0.015) and K2 lower (mean = 0.005 vs. 0.016; P=0.013) in children who received a pre-bolus of contrast agent compared to those who did not. Leakage correction removed the difference. CONCLUSION Dynamic susceptibility-contrast MRI acquired at multiple centers helped distinguish between children's brain tumors. Relative cerebral blood volume was significantly higher in high-grade compared to low-grade tumors and differed among common tumor types. Vessel leakage correction is required to provide accurate rCBV, particularly in low-grade enhancing tumors.
Collapse
Affiliation(s)
- Stephanie B Withey
- RRPPS, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- Oncology, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Lesley MacPherson
- Radiology, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - Adam Oates
- Radiology, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - Stephen Powell
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Jan Novak
- Oncology, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
- Department of Psychology, Aston Brain Centre, School of Life and Health Sciences, Aston University, Birmingham, UK
| | | | - Barry Pizer
- Oncology, Alder Hey Children's NHS Foundation Trust, Liverpool, UK
| | - Richard Grundy
- The Children's Brain Tumour Research Centre, University of Nottingham, Nottingham, UK
| | - Paul S Morgan
- The Children's Brain Tumour Research Centre, University of Nottingham, Nottingham, UK
- Medical Physics, Nottingham University Hospitals, Nottingham, UK
- Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, UK
| | - Simon Bailey
- Sir James Spence Institute of Child Health, Royal Victoria Infirmary, Newcastle upon Tyne, UK
| | - Dipayan Mitra
- Neuroradiology, Royal Victoria Infirmary, Newcastle upon Tyne, UK
| | - Theodoros N Arvanitis
- Oncology, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
- Institute of Digital Healthcare, WMG, University of Warwick, Coventry, UK
| | - Dorothee P Auer
- Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, UK
- Neuroradiology, Nottingham University Hospitals Trust, Nottingham, UK
- NIHR Nottingham Biomedical Research Centre, Nottingham, UK
| | - Shivaram Avula
- Radiology, Alder Hey Children's NHS Foundation Trust, Liverpool, UK
| | - Andrew C Peet
- Oncology, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK.
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.
- Children's Brain Tumour Research Team, 4th Floor Institute of Child Health, Birmingham Women's and Children's Hospital NHS Foundation Trust, Steelhouse Lane, Birmingham, B4 6NH, UK.
| |
Collapse
|
7
|
Ibrahim M, Ghazi TU, Bapuraj JR, Srinivasan A. Contrast Pediatric Brain Perfusion: Dynamic Susceptibility Contrast and Dynamic Contrast-Enhanced MR Imaging. Magn Reson Imaging Clin N Am 2021; 29:515-526. [PMID: 34717842 DOI: 10.1016/j.mric.2021.06.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Magnetic resonance (MR) perfusion is a robust imaging technique that assesses the passage of blood through the cerebral vascular network using a variety of techniques. The applications of MR perfusion have been expanded and is well suited to investigate cerebrovascular diseases and cerebral neoplastic processes in pediatric patients. Assessment of brain perfusion can augment the information obtained on conventional MR imaging and provides additional information on the biological and physiologic features of pediatric brain tumors. Similarly, MR perfusion can help guide the management of a variety of pediatric cerebrovascular diseases, including acute ischemic stroke and Moyamoya syndrome.
Collapse
Affiliation(s)
- Mohannad Ibrahim
- Radiology Department, Neuroradiology Division, University of Michigan, 1500 East Medical Center Drive, Ann Arbor, MI 48109, USA
| | - Talha Ul Ghazi
- Michigan State University, College of Human Medicine, 965 Fee Road A110, East Lansing, MI 48824, USA
| | - Jayapalli Rajiv Bapuraj
- Radiology Department, Neuroradiology Division, University of Michigan, 1500 East Medical Center Drive, Ann Arbor, MI 48109, USA
| | - Ashok Srinivasan
- Radiology Department, Neuroradiology Division, University of Michigan, 1500 East Medical Center Drive, Ann Arbor, MI 48109, USA.
| |
Collapse
|
8
|
Lu J, Li X, Li H. Perfusion parameters derived from MRI for preoperative prediction of IDH mutation and MGMT promoter methylation status in glioblastomas. Magn Reson Imaging 2021; 83:189-195. [PMID: 34506909 DOI: 10.1016/j.mri.2021.09.005] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 08/14/2021] [Accepted: 09/05/2021] [Indexed: 12/11/2022]
Abstract
PURPOSE To investigate the feasibility for preoperative prediction of IDH mutation and MGMT promoter methylation status in glioblastomas(GBMs) by intravoxel incoherent motion(IVIM) and dynamic susceptibility contrast(DSC). METHODS Preoperative IVIM and DSC images of 71 patients(IDH mutation:45, IDH wildtype: 26; MGMT methylation: 31, MGMT unmethylation:40) with glioblastomas were analyzed retrospectively. Perfusion parameters including microcirculation perfusion coefficient(D*), perfusion fraction(f), cerebral blood volume(CBV) and cerebral blood flow(CBF) were measured. Corrected perfusion parameters containing corrected perfusion coefficient(ADCperf) and simplified perfusion fraction(SPF) were from the simplified IVIM with 3 b values. Correlations among parameters were analyzed by Spearman correlation. All parameters were compared with Mann-Whitney U test. Univariate and multivariate logistic regression models were constructed. The receiver operating characteristic(ROC) curve was analyzed. RESULTS The IVIM parameters showed merely moderate correlations with CBV and showed no correlation with CBF. IDH mutation GBMs showed lower D*, ADCperf, SPF, CBV and higher f than IDH wildtype GBMs(all p < 0.05). D* was the independent predictor for IDH mutation with the highest AUC of 0.912(95%CI: 0.821-0.966). The D*, ADCperf, SPF and CBV of MGMT promoter methylation GBMs were lower than unmethylation GBMs while f was higher(all p < 0.05). Multivariate model showed the highest prediction efficacy for MGMT promoter methylation with an AUC of 0.915(95%CI: 0.824-0.968). The CBF was not useful in distinguishing IDH mutation and MGMT promoter methylation status(p = 0.055, 0.215). CONCLUSION IDH mutation and MGMT promoter methylation status in GBMs can be assessed effectively by IVIM and DSC. Besides, D* was the independent predictor of IDH mutation status.
Collapse
Affiliation(s)
- Jun Lu
- Department of Radiology, The Affiliated Tumor Hospital of Zhengzhou University & Henan Cancer Hospital, China
| | - Xiang Li
- Department of Radiology, The Affiliated Tumor Hospital of Zhengzhou University & Henan Cancer Hospital, China
| | - Hailiang Li
- Department of Radiology, The Affiliated Tumor Hospital of Zhengzhou University & Henan Cancer Hospital, China.
| |
Collapse
|
9
|
Testud B, Brun G, Varoquaux A, Hak JF, Appay R, Le Troter A, Girard N, Stellmann JP. Perfusion-weighted techniques in MRI grading of pediatric cerebral tumors: efficiency of dynamic susceptibility contrast and arterial spin labeling. Neuroradiology 2021; 63:1353-1366. [PMID: 33506349 DOI: 10.1007/s00234-021-02640-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Accepted: 01/06/2021] [Indexed: 01/23/2023]
Abstract
PURPOSE Dynamic susceptibility contrast (DSC) and arterial spin labeling (ASL) perfusion MRI are applied in pediatric brain tumor grading, but their value for clinical daily practice remains unclear. We explored the ability of ASL and DSC to distinguish low- and high-grade lesions, in an unselected cohort of pediatric cerebral tumors. METHODS We retrospectively compared standard perfusion outcomes including blood volume, blood flow, and time parameters from DSC and ASL at 1.5T or 3T MRI scanners of 46 treatment-naive patients by drawing ROI via consensus by two neuroradiologists on the solid portions of every tumor. The discriminant abilities of perfusion parameters were evaluated by receiver operating characteristic (ROC) over the entire cohort and depending on the tumor location and the magnetic field. RESULTS ASL and DSC parameters showed overall low to moderate performances to distinguish low- and high-grade tumors (area under the curve: between 0.548 and 0.697). Discriminant abilities were better for tumors located supratentorially (AUC between 0.777 and 0.810) than infratentorially, where none of the metrics reached significance. We observed a better differentiation between low- and high-grade cancers at 3T than at 1.5-T. For infratentorial tumors, time parameters from DSC performed better than the commonly used metrics (AUC ≥ 0.8). CONCLUSION DSC and ASL show moderate abilities to distinguish low- and high-grade brain tumors in an unselected cohort. Absolute value of K2, TMAX, tMIP, and normalized value of TMAX of the DSC appear as an alternative to conventional parameters for infratentorial tumors. Three Tesla evaluation should be favored over 1.5-Tesla.
Collapse
Affiliation(s)
- B Testud
- Department of Diagnostic and Interventional Neuroradiology, APHM La Timone, 264 Saint Pierre Street, 13385, CEDEX 05, Marseille, France.
| | - G Brun
- Department of Diagnostic and Interventional Neuroradiology, APHM La Timone, 264 Saint Pierre Street, 13385, CEDEX 05, Marseille, France
| | - A Varoquaux
- APHM La Conception, Department of Medical Imaging, Aix Marseille Université, Marseille, France
| | - J F Hak
- Department of Diagnostic and Interventional Neuroradiology, APHM La Timone, 264 Saint Pierre Street, 13385, CEDEX 05, Marseille, France
| | - R Appay
- Department of Pathology and Neuropathology, APHM La Timone, Marseille, France.,Aix-Marseille Univ, CNRS, INP, Inst Neurophysiopathol, Marseille, France
| | - A Le Troter
- Aix-Marseille Univ, CNRS, CRMBM, UMR 7339, Marseille, France.,APHM La Timone, CEMEREM, Marseille, France
| | - N Girard
- Department of Diagnostic and Interventional Neuroradiology, APHM La Timone, 264 Saint Pierre Street, 13385, CEDEX 05, Marseille, France.,Aix-Marseille Univ, CNRS, CRMBM, UMR 7339, Marseille, France
| | - J P Stellmann
- Aix-Marseille Univ, CNRS, CRMBM, UMR 7339, Marseille, France.,APHM La Timone, CEMEREM, Marseille, France
| |
Collapse
|
10
|
Xing Z, Kang N, Lin Y, Zhou X, Xiao Z, Cao D. Performance of diffusion and perfusion MRI in evaluating primary central nervous system lymphomas of different locations. BMC Med Imaging 2020; 20:62. [PMID: 32517711 PMCID: PMC7285432 DOI: 10.1186/s12880-020-00462-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 05/28/2020] [Indexed: 11/24/2022] Open
Abstract
Background Diffusion and perfusion MRI can invasively define physical properties and angiogenic features of tumors, and guide the individual treatment. The purpose of this study was to investigate whether the diffusion and perfusion MRI parameters of primary central nervous system lymphomas (PCNSLs) are related to the tumor locations. Methods We retrospectively reviewed the diffusion, perfusion, and conventional MRI of 68 patients with PCNSLs at different locations (group 1: cortical gray matter, group 2: white matter, group 3: deep gray matter). Relative maximum cerebral blood volume (rCBVmax) from perfusion MRI, minimum apparent diffusion coefficients (ADCmin) from DWI of each group were calculated and compared by one-way ANOVA test. In addition, we compared the mean apparent diffusion coefficients (ADCmean) in three different regions of control group. Results The rCBVmax of PCNSLs yielded the lowest value in the white matter group, and the highest value in the cortical gray matter group (P < 0.001). However, the ADCmin of each subgroup was not statistically different. The ADCmean of each subgroup in control group was not statistically different. Conclusion Our study confirms that rCBVmax of PCNSLs are related to the tumor location, and provide simple but effective information for guiding the clinical practice of PCNSLs.
Collapse
Affiliation(s)
- Zhen Xing
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, 20 Cha-Zhong Road, Fuzhou, 350005, Fujian, China
| | - Nannan Kang
- Department of Radiology, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, 361004, Fujian, China
| | - Yu Lin
- Department of Radiology, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, 361004, Fujian, China
| | - Xiaofang Zhou
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, 20 Cha-Zhong Road, Fuzhou, 350005, Fujian, China
| | - Zebin Xiao
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Dairong Cao
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, 20 Cha-Zhong Road, Fuzhou, 350005, Fujian, China.
| |
Collapse
|
11
|
Ho CY, Supakul N, Patel PU, Seit V, Groswald M, Cardinal J, Lin C, Kralik SF. Differentiation of pilocytic and pilomyxoid astrocytomas using dynamic susceptibility contrast perfusion and diffusion weighted imaging. Neuroradiology 2019; 62:81-88. [PMID: 31676961 DOI: 10.1007/s00234-019-02310-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Accepted: 10/15/2019] [Indexed: 11/27/2022]
Abstract
PURPOSE Pilocytic (PA) and pilomyxoid astrocytomas (PMA) are related low-grade tumors which occur predominantly in children. PMAs have a predilection for a supratentorial location in younger children with worse outcomes. However, the two have similar imaging characteristics. Quantitative MR sequences such as dynamic susceptibility contrast (DSC) perfusion and diffusion (DWI) were assessed for significant differences between the two tumor types and locations. METHODS A retrospective search for MRI with DSC and DWI on pathology-proven cases of PMA and PA in children was performed. Tumors were manually segmented on anatomic images registered to rCBV, K2, and ADC maps. Tumors were categorized as PA or PMA, with subclassification of supratentorial and infratentorial locations. Mean values were obtained for tumor groups and locations compared with Student's t test for significant differences with post hoc correction for multiple comparisons. ROC analysis for significant t test values was performed. Histogram evaluation was also performed. RESULTS A total of 49 patients met inclusion criteria. This included 30 patients with infratentorial PA, 8 with supratentorial PA, 6 with supratentorial PMA, and 5 with infratentorial PMA. Mean analysis showed significantly increased rCBV for infratentorial PMA (2.39 ± 1.1) vs PA (1.39 ± 0.16, p = 0.0006). ROC analysis for infratentorial PA vs PMA yielded AUC = 0.87 (p < 0.001). Histogram analysis also demonstrated a higher ADC peak location for PMA (1.8 ± 0.2) vs PA (1.56 ± 0.28). CONCLUSION PMA has a significantly higher rCBV than PA in the infratentorial space. DSC perfusion and diffusion MR imaging may be helpful to distinguish between the two tumor types in this location.
Collapse
Affiliation(s)
- Chang Y Ho
- Department of Radiology and Imaging Sciences, MRI Department, Indiana University School of Medicine, 705 Riley Hospital Drive, Indianapolis, IN, 46202, USA.
| | - Nucharin Supakul
- Department of Radiology and Imaging Sciences, MRI Department, Indiana University School of Medicine, 705 Riley Hospital Drive, Indianapolis, IN, 46202, USA
| | - Parth U Patel
- Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Vetana Seit
- Department of Radiology and Imaging Sciences, MRI Department, Indiana University School of Medicine, 705 Riley Hospital Drive, Indianapolis, IN, 46202, USA
| | - Michael Groswald
- Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Jeremy Cardinal
- Department of Radiology and Imaging Sciences, MRI Department, Indiana University School of Medicine, 705 Riley Hospital Drive, Indianapolis, IN, 46202, USA
| | - Chen Lin
- Department of Radiology and Imaging Sciences, MRI Department, Indiana University School of Medicine, 705 Riley Hospital Drive, Indianapolis, IN, 46202, USA
| | - Stephen F Kralik
- Department of Radiology, Texas Children's Hospital, Houston, USA
| |
Collapse
|
12
|
Gaudino S, Martucci M, Botto A, Ruberto E, Leone E, Infante A, Ramaglia A, Caldarelli M, Frassanito P, Triulzi FM, Colosimo C. Brain DSC MR Perfusion in Children: A Clinical Feasibility Study Using Different Technical Standards of Contrast Administration. AJNR Am J Neuroradiol 2019; 40:359-365. [PMID: 30655255 DOI: 10.3174/ajnr.a5954] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Accepted: 12/01/2018] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Dynamic susceptibility contrast MR perfusion imaging has limited results in children due to difficulties in reproducing technical standards derived from adults. This prospective, multicenter study aimed to determine DSC feasibility and quality in children using custom administration of a standard dose of gadolinium. MATERIALS AND METHODS Eighty-three consecutive children with brain tumors underwent DSC perfusion with a standard dose of gadobutrol administered by an automated power injector. The location and size of intravenous catheters and gadobutrol volume and flow rates were reported, and local and/or systemic adverse effects were recorded. DSC was qualitatively evaluated by CBV maps and signal intensity-time curves and quantitatively by the percentage of signal drop and full width at half-maximum, and the data were compared with the standards reported for adults. Quantitative data were grouped by flow rate, and differences among groups were assessed by analysis of covariance and tested for statistical significance with a t test. RESULTS No local or systemic adverse events were recorded independent of catheter location (63 arm, 14 hand, 6 foot), size (24-18 ga), and flow rates (1-5 mL/s). High-quality CBV maps and signal intensity-time curves were achieved in all patients, and quantitative evaluations were equal or superior to those reported for adults. No significant differences (P ≥ .05) were identified among the higher-flow-rate groups in the quantitative data. CONCLUSIONS A custom administration of a standard dose of gadobutrol allows safe and high-quality DSC MR perfusion imaging in children.
Collapse
Affiliation(s)
- S Gaudino
- From the Operative Unit Radiodiagnostica e Neuroradiologia (S.G.,A.B., E.R., E.L., A.I., A.R., C.C.), Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica e Ematologia
| | - M Martucci
- Operative Unit di Neuroradiologia (M.M.), Azienda Ospedaliera, Università di Padova, Padova, Italy
| | - A Botto
- From the Operative Unit Radiodiagnostica e Neuroradiologia (S.G.,A.B., E.R., E.L., A.I., A.R., C.C.), Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica e Ematologia
| | - E Ruberto
- From the Operative Unit Radiodiagnostica e Neuroradiologia (S.G.,A.B., E.R., E.L., A.I., A.R., C.C.), Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica e Ematologia
- Istituto di Radiologia (E.R., E.L., A.R., C.C), Fondazione Policlinico Universitario A. Gemelli Istituto di Ricovero e Cura a Carattere Scientifico, Rome, Italy
- Università Cattolica del Sacro Cuore (E.R., E.L., A.R., C.C), Milan, Italy
| | - E Leone
- From the Operative Unit Radiodiagnostica e Neuroradiologia (S.G.,A.B., E.R., E.L., A.I., A.R., C.C.), Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica e Ematologia
- Istituto di Radiologia (E.R., E.L., A.R., C.C), Fondazione Policlinico Universitario A. Gemelli Istituto di Ricovero e Cura a Carattere Scientifico, Rome, Italy
- Università Cattolica del Sacro Cuore (E.R., E.L., A.R., C.C), Milan, Italy
| | - A Infante
- From the Operative Unit Radiodiagnostica e Neuroradiologia (S.G.,A.B., E.R., E.L., A.I., A.R., C.C.), Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica e Ematologia
| | - A Ramaglia
- From the Operative Unit Radiodiagnostica e Neuroradiologia (S.G.,A.B., E.R., E.L., A.I., A.R., C.C.), Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica e Ematologia
- Istituto di Radiologia (E.R., E.L., A.R., C.C), Fondazione Policlinico Universitario A. Gemelli Istituto di Ricovero e Cura a Carattere Scientifico, Rome, Italy
- Università Cattolica del Sacro Cuore (E.R., E.L., A.R., C.C), Milan, Italy
| | - M Caldarelli
- Neurochirurgia infantile (M.C., P.F.), Fondazione Policlinico Universitario Agostino Gemelli Istituto di Ricovero e Cura a Carattere, Rome, Italy
| | - P Frassanito
- Neurochirurgia infantile (M.C., P.F.), Fondazione Policlinico Universitario Agostino Gemelli Istituto di Ricovero e Cura a Carattere, Rome, Italy
| | - F M Triulzi
- Neuroradiology Unit (F.M.T.), Foundation Istituto di Ricovero e Cura a Carattere Scientifico, Cà Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Pathophysiology and Transplantation (F.M.T.), University of Milan, Milan, Italy
| | - C Colosimo
- From the Operative Unit Radiodiagnostica e Neuroradiologia (S.G.,A.B., E.R., E.L., A.I., A.R., C.C.), Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica e Ematologia
- Istituto di Radiologia (E.R., E.L., A.R., C.C), Fondazione Policlinico Universitario A. Gemelli Istituto di Ricovero e Cura a Carattere Scientifico, Rome, Italy
- Università Cattolica del Sacro Cuore (E.R., E.L., A.R., C.C), Milan, Italy
| |
Collapse
|
13
|
Novak J, Withey SB, Lateef S, MacPherson L, Pinkey B, Peet AC. A comparison of pseudo-continuous arterial spin labelling and dynamic susceptibility contrast MRI with and without contrast agent leakage correction in paediatric brain tumours. Br J Radiol 2019; 92:20170872. [PMID: 30358415 DOI: 10.1259/bjr.20170872] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVE: To investigate correlations between MRI perfusion metrics measured by dynamic susceptibility contrast and arterial spin labelling in paediatric brain tumours. METHODS: 15 paediatric patients with brain tumours were scanned prospectively using pseudo-continuous arterial spin labelling (ASL) and dynamic susceptibility contrast (DSC-) MRI with a pre-bolus to minimise contrast agent leakage. Cerebral blood flow (CBF) maps were produced using ASL. Cerebral blood volume (CBV) maps with and without contrast agent leakage correction using the Boxerman technique and the leakage parameter, K2, were produced from the DSC data. Correlations between the metrics produced were investigated. RESULTS: Histology resulted in the following diagnoses: pilocytic astrocytoma (n = 7), glioblastoma (n = 1), medulloblastoma (n = 1), rosette-forming glioneuronal tumour of fourth ventricle (n = 1), atypical choroid plexus papilloma (n = 1) and pilomyxoid astrocytoma (n = 1). Three patients had a non-invasive diagnosis of low-grade glioma. DSC CBV maps of T1-enhancing tumours were difficult to interpret without the leakage correction. CBV values obtained with and without leakage correction were significantly different (p < 0.01). A significant positive correlation was observed between ASL CBF and DSC CBV (r = 0.516, p = 0.049) which became stronger when leakage correction was applied (r = 0.728, p = 0.002). K2 values were variable across the group (mean = 0.35, range = -0.49 to 0.64). CONCLUSION: CBV values from DSC obtained with and without leakage correction were significantly different. Large increases in CBV were observed following leakage correction in highly T1-enhancing tumours. DSC and ASL perfusion metrics were found to correlate significantly in a range of paediatric brain tumours. A stronger relationship between DSC and ASL was seen when leakage correction was applied to the DSC data. Leakage correction should be applied when analysing DSC data in enhancing paediatric brain tumours. ADVANCES IN KNOWLEDGE: We have shown that leakage correction should be applied when investigating enhancing paediatric brain tumours using DSC-MRI. A stronger correlation was found between CBF derived from ASL and CBV derived from DSC when a leakage correction was employed.
Collapse
Affiliation(s)
- Jan Novak
- 1 Birmingham Children's Hospital , Birmingham , UK.,2 Cancer Sciences, University of Birmingham , Birmingham , UK
| | - Stephanie Barbara Withey
- 1 Birmingham Children's Hospital , Birmingham , UK.,2 Cancer Sciences, University of Birmingham , Birmingham , UK.,3 RRPPS, University Hospitals Birmingham NHS Foundation Trust , Birmingham , UK
| | | | | | | | - Andrew C Peet
- 1 Birmingham Children's Hospital , Birmingham , UK.,2 Cancer Sciences, University of Birmingham , Birmingham , UK
| |
Collapse
|
14
|
Pediatric astrocytic tumor grading: comparison between arterial spin labeling and dynamic susceptibility contrast MRI perfusion. Neuroradiology 2018; 60:437-446. [PMID: 29453753 DOI: 10.1007/s00234-018-1992-6] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Accepted: 02/05/2018] [Indexed: 12/22/2022]
Abstract
PURPOSE The aim of this study was to compare arterial spin labeling (ASL) and dynamic susceptibility contrast (DSC) MRI perfusion with respect to diagnostic performance in tumor grading in pediatric patients with low- and high-grade astrocytic tumors (AT). METHODS We retrospectively analyzed 37 children with histologically proven treatment naive low- and high-grade AT who underwent concomitant pre-operative ASL and DSC MRI perfusion. Studies were performed on a 1.5 T scanner, and a pulsed technique was used for ASL. DSC data were post-processed with a leakage correction software. Normalization of tumor perfusion parameters was performed with contralateral normal appearing gray matter. Normalized cerebral blood volume (nCBV) values in the most perfused area of each neoplasm were compared with normalized DSC-derived cerebral blood flow (nDSC-CBF) and ASL-derived cerebral blood flow (nASL-CBF) data, and correlated with WHO tumor grade. Statistics included Pearson's chi-square and Mann-Whitney U tests, Spearman's rank correlation, and receiver operating characteristic (ROC) analysis. RESULTS A significant correlation was demonstrated between DSC and ASL data (p < 0.001). Significant differences in terms of DSC and ASL data were found between low- and high-grade AT (p < 0.001). ROC analysis demonstrated similar performances between all parameters in predicting tumor grade (nCBV: AUC 0.96, p < 0.001; nDSC-CBF: AUC 0.98, p < 0.001; nASL-CBF: AUC 0.96, p < 0.001). CONCLUSIONS Normalized pulsed ASL performed with a 1.5 T scanner provides comparable results to DSC MRI perfusion in pediatric AT and may allow distinction between high- and low-grade AT.
Collapse
|
15
|
Vajapeyam S, Brown D, Johnston PR, Ricci KI, Kieran MW, Lidov HGW, Poussaint TY. Multiparametric Analysis of Permeability and ADC Histogram Metrics for Classification of Pediatric Brain Tumors by Tumor Grade. AJNR Am J Neuroradiol 2018; 39:552-557. [PMID: 29301780 DOI: 10.3174/ajnr.a5502] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2017] [Accepted: 10/30/2017] [Indexed: 12/22/2022]
Abstract
BACKGROUND AND PURPOSE Accurate tumor grading is essential for treatment planning of pediatric brain tumors. We hypothesized that multiparametric analyses of a combination of permeability metrics and ADC histogram metrics would differentiate high- and low-grade tumors with high accuracy. MATERIALS AND METHODS DTI and dynamic contrast-enhanced MR imaging using T1-mapping with flip angles of 2°, 5°, 10°, and 15°, followed by a 0.1-mmol/kg body weight gadolinium-based bolus was performed on all patients in addition to standard MR imaging. Permeability data were processed and transfer constant from the blood plasma into the extracellular extravascular space, rate constant from the extracellular extravascular space back into blood plasma, extravascular extracellular volume fraction, and fractional blood plasma volume were calculated from 3D tumor volumes. Apparent diffusion coefficient histogram metrics were calculated for 3 separate tumor volumes derived from T2-FLAIR sequences, T1 contrast-enhanced sequences, and permeability maps, respectively. RESULTS Results from 41 patients (0.3-16.76 years of age; mean, 6.22 years) with newly diagnosed contrast-enhancing brain tumors (16 low-grade; 25 high-grade) were included in the institutional review board-approved retrospective analysis. Wilcoxon tests showed a higher transfer constant from blood plasma into extracellular extravascular space and rate constant from extracellular extravascular space back into blood plasma, and lower extracellular extravascular volume fraction (P < .001) in high-grade tumors. The mean ADCs of FLAIR and enhancing tumor volumes were significantly lower in high-grade tumors (P < .001). ROC analysis showed that a combination of extravascular volume fraction and mean ADC of FLAIR volume differentiated high- and low-grade tumors with high accuracy (area under receiver operating characteristic curve = 0.918). CONCLUSIONS ADC histogram metrics combined with permeability metrics differentiate low- and high-grade pediatric brain tumors with high accuracy.
Collapse
Affiliation(s)
- S Vajapeyam
- From the Departments of Radiology (S.V., D.B., P.R.J., T.Y.P.) .,Harvard Medical School (S.V., M.W.K., H.G.W.L., T.Y.P.), Boston, Massachusetts
| | - D Brown
- From the Departments of Radiology (S.V., D.B., P.R.J., T.Y.P.)
| | - P R Johnston
- From the Departments of Radiology (S.V., D.B., P.R.J., T.Y.P.)
| | - K I Ricci
- Cancer Center (K.I.R.), Massachusetts General Hospital, Boston, Massachusetts
| | - M W Kieran
- Division of Pediatric Oncology (M.W.K.), Dana-Farber Boston Children's Cancer and Blood Disorders Center, Boston, Massachusetts.,Harvard Medical School (S.V., M.W.K., H.G.W.L., T.Y.P.), Boston, Massachusetts
| | - H G W Lidov
- Pathology (H.G.W.L.), Boston Children's Hospital, Boston, Massachusetts.,Harvard Medical School (S.V., M.W.K., H.G.W.L., T.Y.P.), Boston, Massachusetts
| | - T Y Poussaint
- From the Departments of Radiology (S.V., D.B., P.R.J., T.Y.P.).,Harvard Medical School (S.V., M.W.K., H.G.W.L., T.Y.P.), Boston, Massachusetts
| |
Collapse
|
16
|
Dallery F, Bouzerar R, Michel D, Attencourt C, Promelle V, Peltier J, Constans JM, Balédent O, Gondry-Jouet C. Perfusion magnetic resonance imaging in pediatric brain tumors. Neuroradiology 2017; 59:1143-1153. [PMID: 28861622 DOI: 10.1007/s00234-017-1917-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Accepted: 08/23/2017] [Indexed: 12/17/2022]
Abstract
PURPOSE The use of DSC-MR imaging in pediatric neuroradiology is gradually growing. However, the number of studies listed in the literature remains limited. We propose to assess the perfusion and permeability parameters in pediatric brain tumor grading. METHODS Thirty children with a brain tumor having benefited from a DSC-MR perfusion sequence have been retrospectively explored. Relative CBF and CBV were computed on the ROI with the largest lesion coverage. Assessment of the lesion's permeability was also performed through the semi-quantitative PSR parameter and the K2 model-based parameter on the whole-lesion ROI and a reduced ROI drawn on the permeability maps. A statistical comparison of high- and low-grade groups (HG, LG) as well as a ROC analysis was performed on the histogram-based parameters. RESULTS Our results showed a statistically significant difference between LG and HG groups for mean rCBV (p < 10-3), rCBF (p < 10-3), and for PSR (p = 0.03) but not for the K2 factor (p = 0.5). However, the ratio K2/PSR was shown to be a strong discriminating factor between the two groups of lesions (p < 10-3). For rCBV and rCBF indicators, high values of ROC AUC were obtained (> 0.9) and mean value thresholds were observed at 1.07 and 1.03, respectively. For K2/PSR in the reduced area, AUC was also superior to 0.9. CONCLUSIONS The implementation of a dynamic T2* perfusion sequence provided reliable results using an objective whole-lesion ROI. Perfusion parameters as well as a new permeability indicator could efficiently discriminate high-grade from low-grade lesions in the pediatric population.
Collapse
Affiliation(s)
- F Dallery
- Department of Radiology, University Hospital, Amiens, France.
| | - R Bouzerar
- Department of Imaging and Biophysics, University Hospital, Amiens, France
| | - D Michel
- Department of Radiology, University Hospital, Amiens, France
| | - C Attencourt
- Departement of Pathology, University Hospital, Amiens, France
| | - V Promelle
- Department of Imaging and Biophysics, University Hospital, Amiens, France
| | - J Peltier
- Departement of Neurosurgery, University Hospital, Amiens, France
| | - J M Constans
- Department of Radiology, University Hospital, Amiens, France
| | - O Balédent
- Department of Imaging and Biophysics, University Hospital, Amiens, France
| | - C Gondry-Jouet
- Department of Radiology, University Hospital, Amiens, France
| |
Collapse
|
17
|
Rochetams BB, Marechal B, Cottier JP, Gaillot K, Sembely-Taveau C, Sirinelli D, Morel B. T1-weighted dynamic contrast-enhanced brain magnetic resonance imaging: A preliminary study with low infusion rate in pediatric patients. Neuroradiol J 2017; 30:429-436. [PMID: 28556691 DOI: 10.1177/1971400917709626] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Background The aim of this preliminary study is to evaluate the results of T1-weighted dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) in pediatric patients at 1.5T, with a low peripheral intravenous gadoteric acid injection rate of 1 ml/s. Materials and methods Children with neurological symptoms were examined prospectively with conventional MRI and T1-weighted DCE MRI. An magnetic resonance perfusion analysis method was used to obtain time-concentration curves (persistent pattern, type-I; plateau pattern, type-II; washout pattern, type-III) and to calculate pharmacokinetic parameters. A total of two radiologists manually defined regions of interest (ROIs) in the part of the lesion exhibiting the greatest contrast enhancement and in the surrounding normal or contralateral tissue. Lesion/surrounding tissue or contralateral tissue pharmacokinetic parameter ratios were calculated. Tumors were categorized by grade (I-IV) using the World Health Organization (WHO) Grade. Mann-Whitney testing and receiver-operating characteristic (ROC) curves were performed. Results A total of nine boys and nine girls (mean age 10.5 years) were included. Lesions consisted of 10 brain tumors, 3 inflammatory lesions, 3 arteriovenous malformations and 2 strokes. We obtained analyzable concentration-time curves for all patients (6 type-I, 9 type-II, 3 type-III). Ktrans between tumor tissue and surrounding or contralateral tissue was significantly different ( p = 0.034). Ktrans ratios were significantly different between grade I tumors and grade IV tumors ( p = 0.027) and a Ktrans ratio value superior to 0.63 appeared to be discriminant to determine a grade IV of malignancy. Conclusions Our results confirm the feasibility of pediatric T1-weighted DCE MRI at 1.5T with a low injection rate, which could be of great value in differentiating brain tumor grades.
Collapse
Affiliation(s)
| | - Bénédicte Marechal
- 2 Advanced Clinical Imaging Technology, Siemens Healthcare HC CEMEA SUI DI PI, Lausanne, Switzerland.,3 Department of Radiology, University Hospital (CHUV), Lausanne, Switzerland
| | - Jean-Philippe Cottier
- 4 Department of Neuroradiology, Bretonneau Hospital, CHRU, Tours, France.,5 Francois Rabelais University, Faculty of Medicine, Tours, France
| | - Kathleen Gaillot
- 4 Department of Neuroradiology, Bretonneau Hospital, CHRU, Tours, France.,5 Francois Rabelais University, Faculty of Medicine, Tours, France
| | | | - Dominique Sirinelli
- 1 Department of Pediatric Radiology, Clocheville Hospital, CHRU, Tours, France.,5 Francois Rabelais University, Faculty of Medicine, Tours, France
| | - Baptiste Morel
- 1 Department of Pediatric Radiology, Clocheville Hospital, CHRU, Tours, France.,5 Francois Rabelais University, Faculty of Medicine, Tours, France
| |
Collapse
|
18
|
Lequin M, Hendrikse J. Advanced MR Imaging in Pediatric Brain Tumors, Clinical Applications. Neuroimaging Clin N Am 2017; 27:167-190. [DOI: 10.1016/j.nic.2016.08.007] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
|
19
|
Goo HW, Ra YS. Advanced MRI for Pediatric Brain Tumors with Emphasis on Clinical Benefits. Korean J Radiol 2017; 18:194-207. [PMID: 28096729 PMCID: PMC5240497 DOI: 10.3348/kjr.2017.18.1.194] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2016] [Accepted: 08/17/2016] [Indexed: 12/19/2022] Open
Abstract
Conventional anatomic brain MRI is often limited in evaluating pediatric brain tumors, the most common solid tumors and a leading cause of death in children. Advanced brain MRI techniques have great potential to improve diagnostic performance in children with brain tumors and overcome diagnostic pitfalls resulting from diverse tumor pathologies as well as nonspecific or overlapped imaging findings. Advanced MRI techniques used for evaluating pediatric brain tumors include diffusion-weighted imaging, diffusion tensor imaging, functional MRI, perfusion imaging, spectroscopy, susceptibility-weighted imaging, and chemical exchange saturation transfer imaging. Because pediatric brain tumors differ from adult counterparts in various aspects, MRI protocols should be designed to achieve maximal clinical benefits in pediatric brain tumors. In this study, we review advanced MRI techniques and interpretation algorithms for pediatric brain tumors.
Collapse
Affiliation(s)
- Hyun Woo Goo
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea
| | - Young-Shin Ra
- Department of Neurosurgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea
| |
Collapse
|
20
|
Gaudino S, Russo R, Verdolotti T, Caulo M, Colosimo C. Advanced MR imaging in hemispheric low-grade gliomas before surgery; the indications and limits in the pediatric age. Childs Nerv Syst 2016; 32:1813-22. [PMID: 27659824 DOI: 10.1007/s00381-016-3142-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2016] [Accepted: 06/05/2016] [Indexed: 01/18/2023]
Abstract
INTRODUCTION Advanced magnetic resonance imaging (MRI) techniques is an umbrella term that includes diffusion (DWI) and diffusion tensor (DTI), perfusion (PWI), spectroscopy (MRS), and functional (fMRI) imaging. These advanced modalities have improved the imaging of brain tumors and provided valuable additional information for treatment planning. Despite abundant literature on advanced MRI techniques in adult brain tumors, few reports exist for pediatric brain ones, potentially because of technical challenges. REVIEW OF THE LITERATURE The authors review techniques and clinical applications of DWI, PWI, MRS, and fMRI, in the setting of pediatric hemispheric low-grade gliomas. PERSONAL EXPERIENCE The authors propose their personal experience to highlight benefits and limits of advanced MR imaging in diagnosis, grading, and presurgical planning of pediatric hemispheric low-grade gliomas. DISCUSSION Advanced techniques should be used as complementary tools to conventional MRI, and in theory, the combined use of the three techniques should ensure achieving the best results in the diagnosis of hemispheric low-grade glioma and in presurgical planning to maximize tumor resection and preserve brain function. FUTURE PERSPECTIVES In the setting of pediatric neurooncology, these techniques can be used to distinguish low-grade from high-grade tumor. However, these methods have to be applied on a large scale to understand their real potential and clinical relapse, and further technical development is required to reduce the excessive scan times and other technical limitations.
Collapse
Affiliation(s)
- Simona Gaudino
- Institute of Radiology, Fondazione Policlinico Universitario Agostino Gemelli, Largo A. Gemelli, 1, 00168, Rome, Italy.
| | - Rosellina Russo
- Institute of Radiology, Fondazione Policlinico Universitario Agostino Gemelli, Largo A. Gemelli, 1, 00168, Rome, Italy
| | - Tommaso Verdolotti
- Institute of Radiology, Fondazione Policlinico Universitario Agostino Gemelli, Largo A. Gemelli, 1, 00168, Rome, Italy
| | - Massimo Caulo
- Department of Neuroscience, Imaging and Clinical Science, University "G. D'annunzio", Chieti, Italy
| | - Cesare Colosimo
- Institute of Radiology, Fondazione Policlinico Universitario Agostino Gemelli, Largo A. Gemelli, 1, 00168, Rome, Italy
| |
Collapse
|
21
|
Vajapeyam S, Stamoulis C, Ricci K, Kieran M, Poussaint TY. Automated Processing of Dynamic Contrast-Enhanced MRI: Correlation of Advanced Pharmacokinetic Metrics with Tumor Grade in Pediatric Brain Tumors. AJNR Am J Neuroradiol 2016; 38:170-175. [PMID: 27633807 DOI: 10.3174/ajnr.a4949] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2016] [Accepted: 08/01/2016] [Indexed: 12/29/2022]
Abstract
BACKGROUND AND PURPOSE Pharmacokinetic parameters from dynamic contrast-enhanced MR imaging have proved useful for differentiating brain tumor grades in adults. In this study, we retrospectively reviewed dynamic contrast-enhanced perfusion data from children with newly diagnosed brain tumors and analyzed the pharmacokinetic parameters correlating with tumor grade. MATERIALS AND METHODS Dynamic contrast-enhanced MR imaging data from 38 patients were analyzed by using commercially available software. Subjects were categorized into 2 groups based on pathologic analyses consisting of low-grade (World Health Organization I and II) and high-grade (World Health Organization III and IV) tumors. Pharmacokinetic parameters were compared between the 2 groups by using linear regression models. For parameters that were statistically distinct between the 2 groups, sensitivity and specificity were also estimated. RESULTS Eighteen tumors were classified as low-grade, and 20, as high-grade. Transfer constant from the blood plasma into the extracellular extravascular space (Ktrans), rate constant from extracellular extravascular space back into blood plasma (Kep), and extracellular extravascular volume fraction (Ve) were all significantly correlated with tumor grade; high-grade tumors showed higher Ktrans, higher Kep, and lower Ve. Although all 3 parameters had high specificity (range, 82%-100%), Kep had the highest specificity for both grades. Optimal sensitivity was achieved for Ve, with a combined sensitivity of 76% (compared with 71% for Ktrans and Kep). CONCLUSIONS Pharmacokinetic parameters derived from dynamic contrast-enhanced MR imaging can effectively discriminate low- and high-grade pediatric brain tumors.
Collapse
Affiliation(s)
- S Vajapeyam
- From the Departments of Radiology (S.V., C.S., T.Y.P.) .,Harvard Medical School (S.V., C.S., M.K., T.Y.P.), Boston, Massachusetts
| | - C Stamoulis
- From the Departments of Radiology (S.V., C.S., T.Y.P.).,Neurology (C.S.), Boston Children's Hospital, Boston, Massachusetts.,Harvard Medical School (S.V., C.S., M.K., T.Y.P.), Boston, Massachusetts
| | - K Ricci
- Cancer Center (K.R.), Massachusetts General Hospital, Boston, Massachusetts
| | - M Kieran
- Department of Pediatric Oncology (M.K.), Dana-Farber Cancer Center, Boston, Massachusetts.,Harvard Medical School (S.V., C.S., M.K., T.Y.P.), Boston, Massachusetts
| | - T Young Poussaint
- From the Departments of Radiology (S.V., C.S., T.Y.P.).,Harvard Medical School (S.V., C.S., M.K., T.Y.P.), Boston, Massachusetts
| |
Collapse
|
22
|
Crisi G, Filice S, Erb G, Bozzetti F. Effectiveness of a high relaxivity contrast agent administered at half dose in dynamic susceptibility contrast MRI of brain gliomas. J Magn Reson Imaging 2016; 45:500-506. [PMID: 27373976 DOI: 10.1002/jmri.25370] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2016] [Accepted: 06/17/2016] [Indexed: 11/11/2022] Open
Abstract
PURPOSE To determine whether half of the approved dose of gadobenate dimeglumine (MultiHance) is as effective as a full dose of gadoterate meglumine (Dotarem) for qualitative and quantitative cerebral blood volume (CBV) perfusion evaluation at 3T in patients with brain gliomas. MATERIALS AND METHODS We enrolled 65 adult patients in an interindividual comparative study. Patients were randomized to one of two study arms: 33 patients received 0.1 mmol/kg body weight (bw) of gadoterate, 32 patients received 0.05 mmol/kg bw of gadobenate. The patients underwent identical examinations at 3T. Arterial input function (AIF), tissue function (TF), and the maximum tumor CBV (CBV_T) were obtained from each patient. The quality of the CBV maps were independently reviewed by two neuroradiologists blinded to the administered contrast agent. RESULTS The administration of a half dose of gadobenate led to a roughly 40% reduction in signal drop compared to that achieved with a full dose of gadoterate (P values for AIF and TF maximum and integral were <0.01); quantitative and qualitative assessment of CBV maps revealed no difference between contrast agents (P values for CBV_T of high- and low-grade gliomas, image quality evaluation were 0.87, 0.48, >0.65, respectively) CONCLUSION: The CBV maps obtained with a half dose gadobenate (0.05 mmol/kg bw) are of comparable diagnostic quality as the corresponding images acquired with a full dose of gadoterate (0.1 mmol/kg bw). LEVEL OF EVIDENCE 2 J. Magn. Reson. Imaging 2017;45:500-506.
Collapse
Affiliation(s)
- Girolamo Crisi
- Department of Neuroradiology, University Hospital of Parma, Parma, Italy
| | - Silvano Filice
- Department of Medical Physics, University Hospital of Parma, Parma, Italy
| | - Gunter Erb
- Bracco Group, Medical and Regulatory Affairs, Konstanz, Germany
| | - Francesca Bozzetti
- Department of Neuroradiology, University Hospital of Parma, Parma, Italy
| |
Collapse
|
23
|
She D, Yang X, Xing Z, Cao D. Differentiating Hemangioblastomas from Brain Metastases Using Diffusion-Weighted Imaging and Dynamic Susceptibility Contrast-Enhanced Perfusion-Weighted MR Imaging. AJNR Am J Neuroradiol 2016; 37:1844-1850. [PMID: 27173365 DOI: 10.3174/ajnr.a4809] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2015] [Accepted: 03/18/2016] [Indexed: 12/12/2022]
Abstract
BACKGROUND AND PURPOSE On DWI and DSC-PWI, hemangioblastomas and brain metastases may exhibit different signal intensities depending on their cellularity and angiogenesis. The purpose of this study was to evaluate whether a hemangioblastoma can be differentiated from a single brain metastasis with DWI and DSC-PWI. MATERIALS AND METHODS We retrospectively reviewed DWI, DSC-PWI, and conventional MR imaging of 21 patients with hemangioblastomas and 30 patients with a single brain metastasis. Variables of minimum ADC and relative ADC were acquired by DWI and the parameter of relative maximum CBV, by DSC-PWI. Minimum ADC, relative ADC, and relative maximum CBV values were compared between hemangioblastomas and brain metastases by using the nonparametric Mann-Whitney test. The sensitivity, specificity, positive and negative predictive values, accuracy, and the area under the receiver operating characteristic curve were determined. RESULTS Both the minimum ADC values and relative ADC ratios were significantly higher in hemangioblastomas compared with brain metastases (P < .001 for both minimum ADC values and relative ADC ratios). The same was true for the relative maximum CBV ratio (P < .002). The threshold value of ≥6.59 for relative maximum CBV provided sensitivity, specificity, and accuracy of 95.24%, 53.33%, and 70.59%, respectively, for differentiating hemangioblastomas from brain metastases. Compared with relative maximum CBV, relative ADC had high sensitivity (95.24%), specificity (96.67%), and accuracy (96.08%) using the threshold value of ≥1.54. The optimal threshold value for minimum ADC was ≥1.1 × 10-3 mm2/s. CONCLUSIONS DWI and DSC-PWI are helpful in the characterization and differentiation of hemangioblastomas from brain metastases. DWI appears to be the most efficient MR imaging technique for providing a distinct differentiation of the 2 tumor types.
Collapse
Affiliation(s)
- D She
- From the Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, P.R. China
| | - X Yang
- From the Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, P.R. China
| | - Z Xing
- From the Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, P.R. China
| | - D Cao
- From the Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, P.R. China.
| |
Collapse
|
24
|
Ho CY, Cardinal JS, Kamer AP, Lin C, Kralik SF. Contrast Leakage Patterns from Dynamic Susceptibility Contrast Perfusion MRI in the Grading of Primary Pediatric Brain Tumors. AJNR Am J Neuroradiol 2016; 37:544-51. [PMID: 26564438 DOI: 10.3174/ajnr.a4559] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2015] [Accepted: 07/20/2015] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE The pattern of contrast leakage from DSC tissue signal intensity time curves have shown utility in distinguishing adult brain neoplasms, but has limited description in the literature for pediatric brain tumors. The purpose of this study is to evaluate the utility of grading pediatric brain tumors with this technique. MATERIALS AND METHODS A retrospective review of tissue signal-intensity time curves from 63 pediatric brain tumors with preoperative DSC perfusion MR imaging was performed independently by 2 neuroradiologists. Tissue signal-intensity time curves were generated from ROIs placed in the highest perceived tumor relative CBV. The postbolus portion of the curve was independently classified as returning to baseline, continuing above baseline (T1-dominant contrast leakage), or failing to return to baseline (T2*-dominant contrast leakage). Interobserver agreement of curve classification was evaluated by using the Cohen κ. A consensus classification of curve type was obtained in discrepant cases, and the consensus classification was compared with tumor histology and World Health Organization grade. RESULTS Tissue signal-intensity time curve classification concordance was 0.69 (95% CI, 0.54-0.84) overall and 0.79 (95% CI, 0.59-0.91) for a T1-dominant contrast leakage pattern. Twenty-five of 25 tumors with consensus T1-dominant contrast leakage were low-grade (positive predictive value, 1.0; 95% CI, 0.83-1.00). By comparison, tumors with consensus T2*-dominant contrast leakage or return to baseline were predominantly high-grade (10/15 and 15/23, respectively) with a high negative predictive value (1.0; 95% CI, 0.83-1.0). For pilomyxoid or pilocytic astrocytomas, a T1-dominant leak demonstrated high sensitivity (0.91; 95% CI, 0.70-0.98) and specificity (0.90, 95% CI, 0.75-0.97). CONCLUSIONS There was good interobserver agreement in the classification of DSC perfusion tissue signal-intensity time curves for pediatric brain tumors, particularly for T1-dominant leakage. Among patients with pediatric brain tumors, a T1-dominant leakage pattern is highly specific for a low-grade tumor and demonstrates high sensitivity and specificity for pilocytic or pilomyxoid astrocytomas.
Collapse
Affiliation(s)
- C Y Ho
- From the Department of Radiology, Indiana University School of Medicine, Indianapolis, Indiana.
| | - J S Cardinal
- From the Department of Radiology, Indiana University School of Medicine, Indianapolis, Indiana
| | - A P Kamer
- From the Department of Radiology, Indiana University School of Medicine, Indianapolis, Indiana
| | - C Lin
- From the Department of Radiology, Indiana University School of Medicine, Indianapolis, Indiana
| | - S F Kralik
- From the Department of Radiology, Indiana University School of Medicine, Indianapolis, Indiana
| |
Collapse
|