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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.
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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
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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.
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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.
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Vu C, Xu B, González-Zacarías C, Shen J, Baas KPA, Choi S, Nederveen AJ, Wood JC. Sinusoidal CO 2 respiratory challenge for concurrent perfusion and cerebrovascular reactivity MRI. Front Physiol 2023; 14:1102983. [PMID: 36846345 PMCID: PMC9948030 DOI: 10.3389/fphys.2023.1102983] [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] [Received: 11/21/2022] [Accepted: 01/30/2023] [Indexed: 02/11/2023] Open
Abstract
Introduction: Deoxygenation-based dynamic susceptibility contrast (dDSC) has previously leveraged respiratory challenges to modulate blood oxygen content as an endogenous source of contrast alternative to gadolinium injection in perfusion-weighted MRI. This work proposed the use of sinusoidal modulation of end-tidal CO2 pressures (SineCO 2 ), which has previously been used to measure cerebrovascular reactivity, to induce susceptibility-weighted gradient-echo signal loss to measure brain perfusion. Methods: SineCO 2 was performed in 10 healthy volunteers (age 37 ± 11, 60% female), and tracer kinetics model was applied in the frequency domain to calculate cerebral blood flow, cerebral blood volume, mean transit time, and temporal delay. These perfusion estimates were compared against reference techniques, including gadolinium-based DSC, arterial spin labeling, and phase contrast. Results: Our results showed regional agreement between SineCO 2 and the clinical comparators. SineCO 2 was able to generate robust CVR maps in conjunction to baseline perfusion estimates. Discussion: Overall, this work demonstrated feasibility of using sinusoidal CO2 respiratory paradigm to simultaneously acquire both cerebral perfusion and cerebrovascular reactivity maps in one imaging sequence.
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Affiliation(s)
- Chau Vu
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, United States
- Division of Cardiology, Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA, United States
| | - Botian Xu
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, United States
- Division of Cardiology, Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA, United States
| | - Clio González-Zacarías
- Division of Cardiology, Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA, United States
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, United States
- Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, United States
| | - Jian Shen
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, United States
- Division of Cardiology, Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA, United States
| | - Koen P. A. Baas
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location AMC, Amsterdam, Netherlands
| | - Soyoung Choi
- Division of Cardiology, Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA, United States
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, United States
- Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, United States
| | - Aart J. Nederveen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location AMC, Amsterdam, Netherlands
| | - John C. Wood
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, United States
- Division of Cardiology, Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA, United States
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Kamenova M, Kaneva R, Genova K, Gabrovsky N. Embryonal Tumors of the Central Nervous System with Multilayered Rosettes and Atypical Teratoid/Rhabdoid Tumors. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1405:225-252. [PMID: 37452940 DOI: 10.1007/978-3-031-23705-8_8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/18/2023]
Abstract
The 2016 WHO classification of tumors of the central nervous system affected importantly the group of CNS embryonal tumors. Molecular analysis on methylome, genome, and transcriptome levels allowed better classification, identification of specific molecular hallmarks of the different subtypes of CNS embryonal tumors, and their more precise diagnosis. Routine application of appropriate molecular testing and standardized reporting are of pivotal importance for adequate prognosis and treatment, but also for epidemiology studies and search for efficient targeted therapies. As a result of this approach, the term primitive neuroectodermal tumor-PNET was removed and a new clinic-pathological entity was introduced-Embryonal tumor with multilayered rosettes (ETMR). The group of CNS embryonal tumors include also medulloblastoma, medulloepithelioma, CNS neuroblastoma, CNS ganglioneuroblastoma, atypical teratoid/rhabdoid tumor (ATRT) and their subtypes. This chapter will focus mainly on ETMR and ATRT. Embryonal tumors with multilayered rosettes and the atypical teratoid/rhabdoid tumors are undifferentiated or poorly differentiated tumors of the nervous system that originate from primitive brain cells, develop exclusively in childhood or adolescence, and are characterized by a high degree of malignancy, aggressive evolution and a tendency to metastasize to the cerebrospinal fluid. Their clinical presentation is similar to other malignant, intracranial, neoplastic lesions and depends mainly on the localization of the tumor, the rise of the intracranial pressure, and eventually the obstruction of the cerebrospinal fluid pathways. The MRI image characteristics of these tumors are largely overlappingintra-axial, hypercellular, heterogeneous tumors, frequently with intratumoral necrosis and/or hemorrhages. Treatment options for ETMR and ATRT are very restricted. Surgery can seldom achieve radical excision. The rarity of the disease hampers the establishment of a chemotherapy protocol and the usual age of the patients limits severely the application of radiotherapy as a therapeutic option. Consequently, the prognosis of these undifferentiated, malignant, aggressive tumors remains dismal with a 5-year survival between 0 and 30%.
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Affiliation(s)
| | - Radka Kaneva
- Molecular Medicine Center, Department of Medical Chemistry and Biochemistry, Medical University, Sofia, Bulgaria
| | - Kamelia Genova
- Department of Image Diagnostic, University Hospital "Pirogov", Sofia, Bulgaria
| | - Nikolay Gabrovsky
- Department of Neurosurgery, University Hospital "Pirogov", Sofia, Bulgaria.
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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.
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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.
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6
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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.
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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
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Park JE, Kim HS, Lee J, Cheong EN, Shin I, Ahn SS, Shim WH. Deep-learned time-signal intensity pattern analysis using an autoencoder captures magnetic resonance perfusion heterogeneity for brain tumor differentiation. Sci Rep 2020; 10:21485. [PMID: 33293590 PMCID: PMC7723041 DOI: 10.1038/s41598-020-78485-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 11/11/2020] [Indexed: 01/10/2023] Open
Abstract
Current image processing methods for dynamic susceptibility contrast (DSC) magnetic resonance imaging (MRI) do not capture complex dynamic information of time-signal intensity curves. We investigated whether an autoencoder-based pattern analysis of DSC MRI captured representative temporal features that improves tissue characterization and tumor diagnosis in a multicenter setting. The autoencoder was applied to the time-signal intensity curves to obtain representative temporal patterns, which were subsequently learned by a convolutional neural network. This network was trained with 216 preoperative DSC MRI acquisitions and validated using external data (n = 43) collected with different DSC acquisition protocols. The autoencoder applied to time-signal intensity curves and clustering obtained nine representative clusters of temporal patterns, which accurately identified tumor and non-tumoral tissues. The dominant clusters of temporal patterns distinguished primary central nervous system lymphoma (PCNSL) from glioblastoma (AUC 0.89) and metastasis from glioblastoma (AUC 0.95). The autoencoder captured DSC time-signal intensity patterns that improved identification of tumoral tissues and differentiation of tumor type and was generalizable across centers.
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Affiliation(s)
- Ji Eun Park
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 43 Olympic-ro 88, Songpa-Gu, Seoul, 05505, Korea
| | - Ho Sung Kim
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 43 Olympic-ro 88, Songpa-Gu, Seoul, 05505, Korea.
| | - Junkyu Lee
- Department of Medical Science and Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, 43 Olympic-ro 88, Songpa-Gu, Seoul, Korea
| | - E-Nae Cheong
- Department of Medical Science and Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, 43 Olympic-ro 88, Songpa-Gu, Seoul, Korea
| | - Ilah Shin
- Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Korea
| | - Sung Soo Ahn
- Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Korea
| | - Woo Hyun Shim
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 43 Olympic-ro 88, Songpa-Gu, Seoul, 05505, Korea.,Department of Medical Science and Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, 43 Olympic-ro 88, Songpa-Gu, Seoul, Korea
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8
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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.
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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
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Danisman MÇ, Koplay M, Paksoy Y, Keleşoğlu KS, Karabağlı P, Köktekir E. Small Cell Lung Carcinoma Metastasis to Atypical Meningioma: Importance of Perfusion Magnetic Resonance Imaging Graphics in Differential Diagnosis. World Neurosurg 2019; 124:410-413. [PMID: 30703595 DOI: 10.1016/j.wneu.2019.01.084] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Revised: 01/06/2019] [Accepted: 01/08/2019] [Indexed: 12/01/2022]
Abstract
We described the imaging findings of small cell lung carcinoma metastasis to atypical meningioma and the importance of magnetic resonance imaging perfusion graphics at the differential diagnosis. To be able to determine subtypes of meningiomas and differentiate whether they are malignant or benign may provide a preoperative idea to determine prognosis and surgical procedure.
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Affiliation(s)
| | - Mustafa Koplay
- Department of Radiology, Medical of Faculty, Selcuk University, Konya, Turkey.
| | - Yahya Paksoy
- Department of Radiology, Medical of Faculty, Selcuk University, Konya, Turkey
| | | | - Pınar Karabağlı
- Department of Pathology, Medical of Faculty, Selcuk University, Konya, Turkey
| | - Ender Köktekir
- Department of Neurosurgery, Medical of Faculty, Selcuk University, Konya, Turkey
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10
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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: 7] [Impact Index Per Article: 1.4] [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.
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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
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11
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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.
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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
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12
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Shih RY, Koeller KK. Embryonal Tumors of the Central Nervous System: From the Radiologic Pathology Archives. Radiographics 2018. [PMID: 29528832 DOI: 10.1148/rg.2018170182] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Embryonal tumors of the central nervous system (CNS) are highly malignant undifferentiated or poorly differentiated tumors of neuroepithelial origin and have been defined as a category in the World Health Organization (WHO) classification since the first edition of the "Blue Book" in 1979. This category has evolved over time to reflect our ever-improving understanding of tumor biology and behavior. With the most recent update in 2016, many previous histologic diagnoses incorporate molecular parameters for the first time (genetically defined entities). While medulloblastoma and atypical teratoid/rhabdoid tumor are familiar carryovers from the 2007 CNS WHO classification, there are major changes to the embryonal tumor category: for example, elimination of the term CNS primitive neuroectodermal tumor and addition of a new genetically defined entity, embryonal tumor with multilayered rosettes, C19MC-altered. The purpose of this article is to discuss both the radiologic-pathologic features of CNS embryonal tumors and the new molecularly defined types/subtypes that will become the standard classification/terminology for future diagnoses and tumor research.
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Affiliation(s)
- Robert Y Shih
- From the Department of Neuroradiology, American Institute for Radiologic Pathology, Silver Spring, Md (R.Y.S., K.K.K.); Uniformed Services University of the Health Sciences, Bethesda, Md (R.Y.S.); Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (R.Y.S.); and Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905 (K.K.K.)
| | - Kelly K Koeller
- From the Department of Neuroradiology, American Institute for Radiologic Pathology, Silver Spring, Md (R.Y.S., K.K.K.); Uniformed Services University of the Health Sciences, Bethesda, Md (R.Y.S.); Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (R.Y.S.); and Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905 (K.K.K.)
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13
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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.
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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
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14
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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.
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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
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15
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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.
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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
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16
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Pediatric brain MRI, Part 2: Advanced techniques. Pediatr Radiol 2017; 47:544-555. [PMID: 28409252 DOI: 10.1007/s00247-017-3792-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2016] [Revised: 11/13/2016] [Accepted: 01/26/2017] [Indexed: 10/19/2022]
Abstract
Pediatric neuroimaging is a complex and specialized field that uses magnetic resonance (MR) imaging as the workhorse for diagnosis. MR protocols should be tailored to the specific indication and reviewed by the supervising radiologist in real time. Targeted advanced imaging sequences can be added to provide information regarding tissue microstructure, perfusion, metabolism and function. In part 2 of this review, we highlight the utility of advanced imaging techniques for superior evaluation of pediatric neurologic disease. We focus on the following techniques, with clinical examples: phase-contrast imaging, perfusion-weighted imaging, vessel wall imaging, diffusion tensor imaging, task-based functional MRI and MR spectroscopy.
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17
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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.
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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
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18
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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.
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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
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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.
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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
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