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Caragliano AN, Macula A, Colombo Serra S, Fringuello Mingo A, Morana G, Rossi A, Alì M, Fazzini D, Tedoldi F, Valbusa G, Bifone A. Exploring the Limitations of Virtual Contrast Prediction in Brain Tumor Imaging: A Study of Generalization Across Tumor Types and Patient Populations. NMR IN BIOMEDICINE 2025; 38:e70062. [PMID: 40386872 DOI: 10.1002/nbm.70062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2024] [Revised: 05/02/2025] [Accepted: 05/02/2025] [Indexed: 05/20/2025]
Abstract
Accurate and timely diagnosis of brain tumors is critical for patient management and treatment planning. Magnetic resonance imaging (MRI) is a widely used modality for brain tumor detection and characterization, often aided by the administration of gadolinium-based contrast agents (GBCAs) to improve tumor visualization. Recently, deep learning models have shown remarkable success in predicting contrast-enhancement in medical images, thereby reducing the need of GBCAs and potentially minimizing patient discomfort and risks. In this paper, we present a study aimed at investigating the generalization capabilities of a neural network trained to predict full contrast in brain tumor images from noncontrast MRI scans. While initial results exhibited promising performance on a specific tumor type at a certain stage using a specific dataset, our attempts to extend this success to other tumor types and diverse patient populations yielded unexpected challenges and limitations. Through a rigorous analysis of the factor contributing to these negative results, we aim to shed light on the complexities associated with generalizing contrast enhancement prediction in medical brain tumor imaging, offering valuable insights for future research and clinical applications.
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Affiliation(s)
- Alice Natalina Caragliano
- Centro Ricerche Bracco, Bracco Imaging SpA, Colleretto Giacosa, Italy
- Research Unit of Computer Systems and Bioinformatics, Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy
| | - Anna Macula
- Centro Ricerche Bracco, Bracco Imaging SpA, Colleretto Giacosa, Italy
- Department of Physics, University of Turin, Turin, Italy
| | | | | | - Giovanni Morana
- Neuroradiology Unit, A.O.U, Città della Salute e della Scienza di Torino, Turin, Italy
| | - Andrea Rossi
- Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - Marco Alì
- Centro Diagnostico Italiano, Milan, Italy
| | | | | | - Giovanni Valbusa
- Centro Ricerche Bracco, Bracco Imaging SpA, Colleretto Giacosa, Italy
| | - Angelo Bifone
- Department of Molecular Biotechnology and Health Sciences, University of Turin, Turin, Italy
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2
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Vella S, Lauri J, Grech R. Comparison of Arterial Spin-Labeling and DSC Perfusion MR Imaging in Pediatric Brain Tumors: A Systematic Review and Meta-Analysis. AJNR Am J Neuroradiol 2025; 46:178-185. [PMID: 39122472 PMCID: PMC11735421 DOI: 10.3174/ajnr.a8442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Accepted: 07/26/2024] [Indexed: 08/12/2024]
Abstract
BACKGROUND Brain tumors are a leading cause of mortality in children. Accurate tumor grading is essential to plan treatment and for prognostication. Perfusion imaging has been shown to correlate well with tumor grade in adults, however there are fewer studies in pediatric patients. Moreover, there is no consensus regarding which MR perfusion technique demonstrates the highest accuracy in the latter population. PURPOSE We sought to compare the diagnostic test accuracy of DSC and arterial spin-labeling (ASL), in their ability to differentiate between low- and high-grade pediatric brain tumors at first presentation. DATA SOURCES Articles were retrieved from online electronic databases: MEDLINE (Ovid), Web of Science Core Collection, and Scopus. STUDY SELECTION Studies in pediatric patients with a treatment-naïve diagnosed brain tumor and imaging including either ASL or DSC or both, together with a histologic diagnosis were included. Studies involving adult patient or mixed age populations, studies with incomplete data, and those that used dynamic contrast-enhanced perfusion were excluded. DATA ANALYSIS The sensitivities and specificities obtained from each study were used to calculate the true-positive, true-negative, false-positive, and false-negative count. A case was defined as a histologically proved high-grade tumor. The random-effect model was used to merge statistics. Significance level was set at P < .05. DATA SYNTHESIS Forest plots showing pairs of sensitivity and specificity, with their 95% CIs, were constructed for each study. The bivariate model was applied to account for between-study variability. The summary receiver operating characteristics (SROC) plots were constructed from the obtained data sets. The area under the curve for the SROC of all studies was estimated to determine the overall diagnostic test accuracy of perfusion MRI, followed by a separate comparison of the SROC of ASL versus DSC studies. LIMITATIONS There was a small and heterogeneous sample size. CONCLUSIONS The diagnostic accuracy of ASL was found to be comparable and not inferior to DSC, thus its use in the diagnostic assessment of pediatric patients should continue to be supported.
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Affiliation(s)
- Stephanie Vella
- From the Medical Imaging Department (S.V., R.G.), Mater Dei Hospital, Msida, Malta
| | - Josef Lauri
- Department of Mathematics and Statistics (J.L.), Faculty of Science, University of Malta, Msida, Malta
| | - Reuben Grech
- From the Medical Imaging Department (S.V., R.G.), Mater Dei Hospital, Msida, Malta
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3
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Zhao WT, Herrmann KH, Wei W, Krämer M, Dahmen U, Reichenbach JR. A quality assurance protocol for reliable and reproducible multi-TI arterial spin labeling perfusion imaging in rat livers. MAGMA (NEW YORK, N.Y.) 2025:10.1007/s10334-024-01223-1. [PMID: 39754650 DOI: 10.1007/s10334-024-01223-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2024] [Revised: 12/11/2024] [Accepted: 12/20/2024] [Indexed: 01/06/2025]
Abstract
OBJECTIVE To establish an arterial spin labeling (ASL) protocol for rat livers that improves data reliability and reproducibility for perfusion quantification. METHODS This study used respiratory-gated, single-slice, FAIR-based ASL imaging with multiple inversion times (TI) in rat livers. Quality assurance measures included: (1) introduction of mechanical ventilation to ensure consistent respiratory cycles by controlling the respiratory rate (45 bpm), tidal volume (10 ml/kg), and inspiration: expiration ratio (I:E ratio, 1:2), (2) optimization of the trigger window for consistent trigger points, and (3) use of fit residual map and coefficient of variance as metrics to assess data quality. We compared image quality, perfusion maps, and fit residual maps between mechanically ventilated and non-ventilated animals, as well as repeated ASL measurements (session = 4 per animal) in two mechanically ventilated animals. RESULTS Perfusion measurements over multiple sessions in mechanically ventilated rats exhibited low perfusion data variability and high reproducibility both within and between liver lobes. Image quality and perfusion maps were significantly improved in mechanically ventilated animals compared to non-ventilated animals. DISCUSSION The implementation of mechanical ventilation and optimized quality assurance protocols enhanced the reliability and reproducibility of FAIR-based multi-TI-ASL imaging in rat livers. Our findings demonstrate these measures as a robust approach for achieving consistent liver perfusion quantification in preclinical settings.
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Affiliation(s)
- Wan-Ting Zhao
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany.
| | - Karl-Heinz Herrmann
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany
| | - Weiwei Wei
- Department of General, Visceral and Vascular Surgery, Experimental Transplantation Surgery, Jena University Hospital, Jena, Germany
| | - Martin Krämer
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany
- Institute of Diagnostic and Interventional Radiology, Jena University Hospital, Friedrich-Schiller University Jena, Jena, Germany
| | - Uta Dahmen
- Department of General, Visceral and Vascular Surgery, Experimental Transplantation Surgery, Jena University Hospital, Jena, Germany
| | - Jürgen R Reichenbach
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany
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Gennari AG, Bicciato G, Lo Biundo SP, Kottke R, Cserpan D, Tuura O'Gorman R, Ramantani G. Interictal EEG spikes increase perfusion in low-grade epilepsy-associated tumors: a pediatric arterial spin labeling study. LA RADIOLOGIA MEDICA 2025; 130:63-73. [PMID: 39531157 PMCID: PMC11882625 DOI: 10.1007/s11547-024-01923-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2024] [Accepted: 10/29/2024] [Indexed: 11/16/2024]
Abstract
PURPOSE Arterial spin labeling (ASL), a noninvasive magnetic resonance (MRI) perfusion sequence, holds promise in the presurgical evaluation of pediatric lesional epilepsy patients, including those with low-grade epilepsy-associated tumors (LEATs). The interpretation of ASL-derived perfusion patterns, however, presents challenges. Our study aims to elucidate these perfusion changes in children with LEATs, exploring their correlations with clinical, electroencephalography (EEG), and anatomical MRI findings. MATERIAL AND METHODS Our cohort included 15 children with LEAT-associated focal lesional epilepsy who underwent single-delay pseudo-continuous ASL imaging; eight were imaged under sedation. We assessed perfusion images both qualitatively and quantitatively, focusing on LEAT-related perfusion changes, as indicated by the asymmetry index (AI) and regional cerebral blood flow (rCBF). RESULTS ASL revealed LEAT-related perfusion changes in all but two patients: 12 LEATs were hypoperfused and one was hyperperfused relative to the contralateral brain parenchyma (CBP). LEATs showed significantly lower perfusion compared to CBP (median: 38.7 vs. 59.1 mL/100 g/min for LEAT and CBP, respectively; p value = 0.004, Wilcoxon-Mann-Whitney), regardless of sedation. Notably, elevated AI and rCBF values correlated with interictal spikes on EEG (median: -0.008 and 0.84 vs -0.27 and 0.58, respectively), but not to other clinical, EEG, or MRI variables (p value = 0.036, Wilcoxon-Mann-Whitney). CONCLUSIONS By highlighting the connection between LEAT and brain perfusion, and by correlating perfusion characteristics and epileptogenicity, our research enhanced our understanding of pediatric epilepsy associated with LEATs. Also, by proving the robustness of these findings to sedation we confirmed the importance of adding ASL to epilepsy protocols to as a valuable tool to supplement anatomical imaging.
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Affiliation(s)
- Antonio Giulio Gennari
- Department of Neuropediatrics, University Children's Hospital Zurich, Lenggstrasse 30, 8008, Zurich, Switzerland
- MR-Research Centre, University Children's Hospital Zurich, Lenggstrasse 30, 8008, Zurich, Switzerland
| | - Giulio Bicciato
- Department of Neuropediatrics, University Children's Hospital Zurich, Lenggstrasse 30, 8008, Zurich, Switzerland
- Department of Neurology, University Hospital Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Santo Pietro Lo Biundo
- Department of Neuropediatrics, University Children's Hospital Zurich, Lenggstrasse 30, 8008, Zurich, Switzerland
| | - Raimund Kottke
- Department of Radiology, University Children's Hospital Zurich, Lenggstrasse 30, 8008, Zurich, Switzerland
| | - Dorottya Cserpan
- Department of Neuropediatrics, University Children's Hospital Zurich, Lenggstrasse 30, 8008, Zurich, Switzerland
| | - Ruth Tuura O'Gorman
- MR-Research Centre, University Children's Hospital Zurich, Lenggstrasse 30, 8008, Zurich, Switzerland.
- University of Zurich, Zurich, Switzerland.
- Children's Research Centre, University Children's Hospital Zurich, Zurich, Switzerland.
| | - Georgia Ramantani
- Department of Neuropediatrics, University Children's Hospital Zurich, Lenggstrasse 30, 8008, Zurich, Switzerland.
- University of Zurich, Zurich, Switzerland.
- Children's Research Centre, University Children's Hospital Zurich, Zurich, Switzerland.
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Tanaka F, Maeda M, Nakayama R, Inoue K, Kishi S, Kogue R, Umino M, Kitano Y, Obara M, Sakuma H. A Combination of Amide Proton Transfer, Tumor Blood Flow, and Apparent Diffusion Coefficient Histogram Analysis Is Useful for Differentiating Malignant from Benign Intracranial Tumors in Young Patients: A Preliminary Study. Diagnostics (Basel) 2024; 14:1236. [PMID: 38928651 PMCID: PMC11202847 DOI: 10.3390/diagnostics14121236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 06/06/2024] [Accepted: 06/08/2024] [Indexed: 06/28/2024] Open
Abstract
PURPOSE To evaluate the amide proton transfer (APT), tumor blood flow (TBF), and apparent diffusion coefficient (ADC) combined diagnostic value for differentiating intracranial malignant tumors (MTs) from benign tumors (BTs) in young patients, as defined by the 2021 World Health Organization classification of central nervous system tumors. METHODS Fifteen patients with intracranial MTs and 10 patients with BTs aged 0-30 years underwent MRI with APT, pseudocontinuous arterial spin labeling (pCASL), and diffusion-weighted imaging. All tumors were evaluated through the use of histogram analysis and the Mann-Whitney U test to compare 10 parameters for each sequence between the groups. The diagnostic performance was evaluated using receiver operating characteristic (ROC) curve analysis. RESULTS The APT maximum, mean, 10th, 25th, 50th, 75th, and 90th percentiles were significantly higher in MTs than in BTs; the TBF minimum (min) was significantly lower in MTs than in BTs; TBF kurtosis was significantly higher in MTs than in BTs; the ADC min, 10th, and 25th percentiles were significantly lower in MTs than in BTs (all p < 0.05). The APT 50th percentile (0.900), TBF min (0.813), and ADC min (0.900) had the highest area under the curve (AUC) values of the parameters in each sequence. The AUC for the combination of these three parameters was 0.933. CONCLUSIONS The combination of APT, TBF, and ADC evaluated through histogram analysis may be useful for differentiating intracranial MTs from BTs in young patients.
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Affiliation(s)
- Fumine Tanaka
- Department of Radiology, Mie University School of Medicine, 2-174 Edobashi, Tsu 5148507, Mie, Japan
| | - Masayuki Maeda
- Department of Neuroradiology, Mie University School of Medicine, 2-174 Edobashi, Tsu 5148507, Mie, Japan
| | - Ryohei Nakayama
- Department of Electronic and Computer Engineering, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu 5250058, Shiga, Japan
| | - Katsuhiro Inoue
- Department of Radiology, Mie University Hospital, 2-174 Edobashi, Tsu 5148507, Mie, Japan
| | - Seiya Kishi
- Department of Radiology, Mie University School of Medicine, 2-174 Edobashi, Tsu 5148507, Mie, Japan
| | - Ryota Kogue
- Department of Radiology, Mie University School of Medicine, 2-174 Edobashi, Tsu 5148507, Mie, Japan
| | - Maki Umino
- Department of Radiology, Mie University School of Medicine, 2-174 Edobashi, Tsu 5148507, Mie, Japan
| | - Yotaro Kitano
- Department of Neurosurgery, Mie University School of Medicine, 2-174 Edobashi, Tsu 5148507, Mie, Japan
| | - Makoto Obara
- MR Clinical Science, Philips Japan, 2-13-37 Konan, Minato 1088507, Tokyo, Japan
| | - Hajime Sakuma
- Department of Radiology, Mie University School of Medicine, 2-174 Edobashi, Tsu 5148507, Mie, Japan
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6
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Ramond D, Puget S, Varlet P, Vergnaud E, Montmayeur J, Purcell Y, Beccaria K, Blauwblomme T, Boddaert N, Dangouloff-Ros V. Arterial spin labelling: predictive role in surgical bleeding of paediatric optic pathway gliomas. Clin Radiol 2024; 79:e325-e333. [PMID: 38065774 DOI: 10.1016/j.crad.2023.10.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 09/21/2023] [Accepted: 10/29/2023] [Indexed: 01/02/2024]
Abstract
AIM To analyse the performance of arterial spin labelling (ASL) in predicting surgical bleeding in a paediatric cohort of optic pathway glioma (OPG). MATERIALS AND METHODS Preoperative ASL data were obtained for 51 OPG in 40 patients, aged from 9 months to 16 years. The relative cerebral blood flow (rCBF) in the tumour areas with the highest CBF (maximum rCBF) was measured and then correlated with qualitative local bleeding (graded no, moderate, and major by the neurosurgeon) and quantitative global surgical bleeding (assessed in millilitres using haematocrit data). RESULTS Intratumoural maximum rCBF was significantly higher when qualitative local bleeding was high (median value in the no, moderate, and major bleeding groups equal to 0.81, 1.39 and 4.22, respectively, p=0.004), but there was no difference in global quantitative bleeding (p=0.7 for the total blood loss). The maximum tumour rCBF cut-off value of 1.1 yielded a sensitivity of 73%, a specificity of 78%, and an accuracy of 76% (39/51 tumours) in detecting haemorrhagic OPG. Choosing a maximum tumour rCBF cut-off value > 1.7 improved the specificity in diagnosing tumours with high bleeding risk with a specificity of 94%, a sensitivity of 53%, and an accuracy of 82% (42/51 tumours). CONCLUSION ASL tumoural rCBF is a useful and simple diagnostic tool to help predict high intraoperative tumoural bleeding risk in paediatric OPG.
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Affiliation(s)
- D Ramond
- Pediatric Radiology Department, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France; UMR 1163, Imagine Institute, Paris, France; INSERM UA1299, Paris Cité University, Paris, France
| | - S Puget
- Pediatric Neurosurgery Department, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - P Varlet
- Neuropathology Department, GHU Paris-Psychiatrie et Neurosciences, Sainte-Anne Hospital, Paris, France; INSERM U894, IMA BRAIN, Paris Cité University, Paris, France
| | - E Vergnaud
- Department of Pediatric Anesthesia and Intensive Care, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - J Montmayeur
- Department of Pediatric Anesthesia and Intensive Care, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Y Purcell
- Department of Diagnostic Neuroradiology, Fondation A. de Rothschild Hospital, Paris, France
| | - K Beccaria
- Pediatric Neurosurgery Department, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France; INSERM U1129, Pediatric Epilepsies and Brain Plasticity, Paris Cité University, Paris, France
| | - T Blauwblomme
- Pediatric Neurosurgery Department, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France; INSERM U1129, Pediatric Epilepsies and Brain Plasticity, Paris Cité University, Paris, France
| | - N Boddaert
- Pediatric Radiology Department, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France; UMR 1163, Imagine Institute, Paris, France; INSERM UA1299, Paris Cité University, Paris, France
| | - V Dangouloff-Ros
- Pediatric Radiology Department, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France; UMR 1163, Imagine Institute, Paris, France; INSERM UA1299, Paris Cité University, Paris, France.
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7
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Wamelink IJHG, Azizova A, Booth TC, Mutsaerts HJMM, Ogunleye A, Mankad K, Petr J, Barkhof F, Keil VC. Brain Tumor Imaging without Gadolinium-based Contrast Agents: Feasible or Fantasy? Radiology 2024; 310:e230793. [PMID: 38319162 PMCID: PMC10902600 DOI: 10.1148/radiol.230793] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 08/07/2023] [Accepted: 08/14/2023] [Indexed: 02/07/2024]
Abstract
Gadolinium-based contrast agents (GBCAs) form the cornerstone of current primary brain tumor MRI protocols at all stages of the patient journey. Though an imperfect measure of tumor grade, GBCAs are repeatedly used for diagnosis and monitoring. In practice, however, radiologists will encounter situations where GBCA injection is not needed or of doubtful benefit. Reducing GBCA administration could improve the patient burden of (repeated) imaging (especially in vulnerable patient groups, such as children), minimize risks of putative side effects, and benefit costs, logistics, and the environmental footprint. On the basis of the current literature, imaging strategies to reduce GBCA exposure for pediatric and adult patients with primary brain tumors will be reviewed. Early postoperative MRI and fixed-interval imaging of gliomas are examples of GBCA exposure with uncertain survival benefits. Half-dose GBCAs for gliomas and T2-weighted imaging alone for meningiomas are among options to reduce GBCA use. While most imaging guidelines recommend using GBCAs at all stages of diagnosis and treatment, non-contrast-enhanced sequences, such as the arterial spin labeling, have shown a great potential. Artificial intelligence methods to generate synthetic postcontrast images from decreased-dose or non-GBCA scans have shown promise to replace GBCA-dependent approaches. This review is focused on pediatric and adult gliomas and meningiomas. Special attention is paid to the quality and real-life applicability of the reviewed literature.
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Affiliation(s)
- Ivar J. H. G. Wamelink
- From the Department of Radiology and Nuclear Medicine, Amsterdam
University Medical Center, VUMC Site, De Boelelaan 1117, Amsterdam 1081 HV, the
Netherlands (I.J.H.G.W., A.A., H.J.M.M.M., J.P., F.B., V.C.K.); Department of
Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands
(I.J.H.G.W., A.A., H.J.M.M.M., V.C.K.); School of Biomedical Engineering and
Imaging Sciences, King’s College London, London, United Kingdom (T.C.B.);
Department of Neuroradiology, King’s College Hospital, NHS Foundation
Trust, London, UK (T.C.B.); Department of Brain Imaging, Amsterdam Neuroscience,
Amsterdam, the Netherlands (H.J.M.M.M., F.B., V.C.K.); Department of Radiology,
Lagos State University Teaching Hospital, Ikeja, Nigeria Radiology (A.O.);
Department of Radiology, Great Ormond Street Hospital for Children, NHS
Foundation Trust, London, United Kingdom (K.M.); Institute of
Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf,
Dresden, Germany (J.P.); and Queen Square Institute of Neurology and Centre for
Medical Image Computing, University College London, London, United Kingdom
(F.B.)
| | - Aynur Azizova
- From the Department of Radiology and Nuclear Medicine, Amsterdam
University Medical Center, VUMC Site, De Boelelaan 1117, Amsterdam 1081 HV, the
Netherlands (I.J.H.G.W., A.A., H.J.M.M.M., J.P., F.B., V.C.K.); Department of
Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands
(I.J.H.G.W., A.A., H.J.M.M.M., V.C.K.); School of Biomedical Engineering and
Imaging Sciences, King’s College London, London, United Kingdom (T.C.B.);
Department of Neuroradiology, King’s College Hospital, NHS Foundation
Trust, London, UK (T.C.B.); Department of Brain Imaging, Amsterdam Neuroscience,
Amsterdam, the Netherlands (H.J.M.M.M., F.B., V.C.K.); Department of Radiology,
Lagos State University Teaching Hospital, Ikeja, Nigeria Radiology (A.O.);
Department of Radiology, Great Ormond Street Hospital for Children, NHS
Foundation Trust, London, United Kingdom (K.M.); Institute of
Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf,
Dresden, Germany (J.P.); and Queen Square Institute of Neurology and Centre for
Medical Image Computing, University College London, London, United Kingdom
(F.B.)
| | - Thomas C. Booth
- From the Department of Radiology and Nuclear Medicine, Amsterdam
University Medical Center, VUMC Site, De Boelelaan 1117, Amsterdam 1081 HV, the
Netherlands (I.J.H.G.W., A.A., H.J.M.M.M., J.P., F.B., V.C.K.); Department of
Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands
(I.J.H.G.W., A.A., H.J.M.M.M., V.C.K.); School of Biomedical Engineering and
Imaging Sciences, King’s College London, London, United Kingdom (T.C.B.);
Department of Neuroradiology, King’s College Hospital, NHS Foundation
Trust, London, UK (T.C.B.); Department of Brain Imaging, Amsterdam Neuroscience,
Amsterdam, the Netherlands (H.J.M.M.M., F.B., V.C.K.); Department of Radiology,
Lagos State University Teaching Hospital, Ikeja, Nigeria Radiology (A.O.);
Department of Radiology, Great Ormond Street Hospital for Children, NHS
Foundation Trust, London, United Kingdom (K.M.); Institute of
Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf,
Dresden, Germany (J.P.); and Queen Square Institute of Neurology and Centre for
Medical Image Computing, University College London, London, United Kingdom
(F.B.)
| | - Henk J. M. M. Mutsaerts
- From the Department of Radiology and Nuclear Medicine, Amsterdam
University Medical Center, VUMC Site, De Boelelaan 1117, Amsterdam 1081 HV, the
Netherlands (I.J.H.G.W., A.A., H.J.M.M.M., J.P., F.B., V.C.K.); Department of
Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands
(I.J.H.G.W., A.A., H.J.M.M.M., V.C.K.); School of Biomedical Engineering and
Imaging Sciences, King’s College London, London, United Kingdom (T.C.B.);
Department of Neuroradiology, King’s College Hospital, NHS Foundation
Trust, London, UK (T.C.B.); Department of Brain Imaging, Amsterdam Neuroscience,
Amsterdam, the Netherlands (H.J.M.M.M., F.B., V.C.K.); Department of Radiology,
Lagos State University Teaching Hospital, Ikeja, Nigeria Radiology (A.O.);
Department of Radiology, Great Ormond Street Hospital for Children, NHS
Foundation Trust, London, United Kingdom (K.M.); Institute of
Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf,
Dresden, Germany (J.P.); and Queen Square Institute of Neurology and Centre for
Medical Image Computing, University College London, London, United Kingdom
(F.B.)
| | - Afolabi Ogunleye
- From the Department of Radiology and Nuclear Medicine, Amsterdam
University Medical Center, VUMC Site, De Boelelaan 1117, Amsterdam 1081 HV, the
Netherlands (I.J.H.G.W., A.A., H.J.M.M.M., J.P., F.B., V.C.K.); Department of
Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands
(I.J.H.G.W., A.A., H.J.M.M.M., V.C.K.); School of Biomedical Engineering and
Imaging Sciences, King’s College London, London, United Kingdom (T.C.B.);
Department of Neuroradiology, King’s College Hospital, NHS Foundation
Trust, London, UK (T.C.B.); Department of Brain Imaging, Amsterdam Neuroscience,
Amsterdam, the Netherlands (H.J.M.M.M., F.B., V.C.K.); Department of Radiology,
Lagos State University Teaching Hospital, Ikeja, Nigeria Radiology (A.O.);
Department of Radiology, Great Ormond Street Hospital for Children, NHS
Foundation Trust, London, United Kingdom (K.M.); Institute of
Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf,
Dresden, Germany (J.P.); and Queen Square Institute of Neurology and Centre for
Medical Image Computing, University College London, London, United Kingdom
(F.B.)
| | - Kshitij Mankad
- From the Department of Radiology and Nuclear Medicine, Amsterdam
University Medical Center, VUMC Site, De Boelelaan 1117, Amsterdam 1081 HV, the
Netherlands (I.J.H.G.W., A.A., H.J.M.M.M., J.P., F.B., V.C.K.); Department of
Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands
(I.J.H.G.W., A.A., H.J.M.M.M., V.C.K.); School of Biomedical Engineering and
Imaging Sciences, King’s College London, London, United Kingdom (T.C.B.);
Department of Neuroradiology, King’s College Hospital, NHS Foundation
Trust, London, UK (T.C.B.); Department of Brain Imaging, Amsterdam Neuroscience,
Amsterdam, the Netherlands (H.J.M.M.M., F.B., V.C.K.); Department of Radiology,
Lagos State University Teaching Hospital, Ikeja, Nigeria Radiology (A.O.);
Department of Radiology, Great Ormond Street Hospital for Children, NHS
Foundation Trust, London, United Kingdom (K.M.); Institute of
Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf,
Dresden, Germany (J.P.); and Queen Square Institute of Neurology and Centre for
Medical Image Computing, University College London, London, United Kingdom
(F.B.)
| | - Jan Petr
- From the Department of Radiology and Nuclear Medicine, Amsterdam
University Medical Center, VUMC Site, De Boelelaan 1117, Amsterdam 1081 HV, the
Netherlands (I.J.H.G.W., A.A., H.J.M.M.M., J.P., F.B., V.C.K.); Department of
Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands
(I.J.H.G.W., A.A., H.J.M.M.M., V.C.K.); School of Biomedical Engineering and
Imaging Sciences, King’s College London, London, United Kingdom (T.C.B.);
Department of Neuroradiology, King’s College Hospital, NHS Foundation
Trust, London, UK (T.C.B.); Department of Brain Imaging, Amsterdam Neuroscience,
Amsterdam, the Netherlands (H.J.M.M.M., F.B., V.C.K.); Department of Radiology,
Lagos State University Teaching Hospital, Ikeja, Nigeria Radiology (A.O.);
Department of Radiology, Great Ormond Street Hospital for Children, NHS
Foundation Trust, London, United Kingdom (K.M.); Institute of
Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf,
Dresden, Germany (J.P.); and Queen Square Institute of Neurology and Centre for
Medical Image Computing, University College London, London, United Kingdom
(F.B.)
| | - Frederik Barkhof
- From the Department of Radiology and Nuclear Medicine, Amsterdam
University Medical Center, VUMC Site, De Boelelaan 1117, Amsterdam 1081 HV, the
Netherlands (I.J.H.G.W., A.A., H.J.M.M.M., J.P., F.B., V.C.K.); Department of
Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands
(I.J.H.G.W., A.A., H.J.M.M.M., V.C.K.); School of Biomedical Engineering and
Imaging Sciences, King’s College London, London, United Kingdom (T.C.B.);
Department of Neuroradiology, King’s College Hospital, NHS Foundation
Trust, London, UK (T.C.B.); Department of Brain Imaging, Amsterdam Neuroscience,
Amsterdam, the Netherlands (H.J.M.M.M., F.B., V.C.K.); Department of Radiology,
Lagos State University Teaching Hospital, Ikeja, Nigeria Radiology (A.O.);
Department of Radiology, Great Ormond Street Hospital for Children, NHS
Foundation Trust, London, United Kingdom (K.M.); Institute of
Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf,
Dresden, Germany (J.P.); and Queen Square Institute of Neurology and Centre for
Medical Image Computing, University College London, London, United Kingdom
(F.B.)
| | - Vera C. Keil
- From the Department of Radiology and Nuclear Medicine, Amsterdam
University Medical Center, VUMC Site, De Boelelaan 1117, Amsterdam 1081 HV, the
Netherlands (I.J.H.G.W., A.A., H.J.M.M.M., J.P., F.B., V.C.K.); Department of
Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands
(I.J.H.G.W., A.A., H.J.M.M.M., V.C.K.); School of Biomedical Engineering and
Imaging Sciences, King’s College London, London, United Kingdom (T.C.B.);
Department of Neuroradiology, King’s College Hospital, NHS Foundation
Trust, London, UK (T.C.B.); Department of Brain Imaging, Amsterdam Neuroscience,
Amsterdam, the Netherlands (H.J.M.M.M., F.B., V.C.K.); Department of Radiology,
Lagos State University Teaching Hospital, Ikeja, Nigeria Radiology (A.O.);
Department of Radiology, Great Ormond Street Hospital for Children, NHS
Foundation Trust, London, United Kingdom (K.M.); Institute of
Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf,
Dresden, Germany (J.P.); and Queen Square Institute of Neurology and Centre for
Medical Image Computing, University College London, London, United Kingdom
(F.B.)
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8
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Shang Y, Song L, Liu J, An P. Intracranial extraosseous Ewing's sarcoma with glioma. Asian J Surg 2024; 47:778-780. [PMID: 37879980 DOI: 10.1016/j.asjsur.2023.10.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 10/06/2023] [Indexed: 10/27/2023] Open
Affiliation(s)
- Yu Shang
- Department of Radiology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, China
| | - Lina Song
- Department of Radiology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, China; Department of Internal Medicine, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, China
| | - Junjie Liu
- Department of Oncology, Hubei Province Clinical Research Center of Parkinson's Disease, Xiangyang Key Laboratory of Movement Disorders, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Hubei, China.
| | - Peng An
- Department of Internal Medicine, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, China; Department of Oncology, Hubei Province Clinical Research Center of Parkinson's Disease, Xiangyang Key Laboratory of Movement Disorders, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Hubei, China.
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9
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Troudi A, Tensaouti F, Cabarrou B, Arribarat G, Pollidoro L, Péran P, Sevely A, Roques M, Chaix Y, Bertozzi AI, Gambart M, Ducassou A, Baudou E, Laprie A. A Prospective Study of Arterial Spin Labelling in Paediatric Posterior Fossa Tumour Survivors: A Correlation with Neurocognitive Impairment. Clin Oncol (R Coll Radiol) 2024; 36:56-64. [PMID: 37805352 DOI: 10.1016/j.clon.2023.09.015] [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: 07/13/2023] [Accepted: 09/25/2023] [Indexed: 10/09/2023]
Abstract
AIMS Posterior fossa tumours (PFTs), which account for two-thirds of paediatric brain tumours, are successfully treated in about 70% of patients, but most survivors experience long-term cognitive impairment. We evaluated arterial spin labelling (ASL), a common, non-invasive magnetic resonance imaging (MRI) technique, as a biomarker of cognitive impairment in a paediatric PFT survivor population. MATERIALS AND METHODS Sixty participants were prospectively analysed. PFT survivors were at least 5 years post-treatment and had been treated as appropriate for their age and type of tumour. Group 1 had received radiotherapy and Group 2 had not. Group 3 were healthy controls matched to Group 1 for age, sex and handedness. All participants underwent cognitive assessment and multimodal MRI, including an ASL perfusion sequence. We used semi-quantitative ASL methods to assess differences in mean perfusion in the thalamus, caudate, putamen and hippocampus. RESULTS Statistically, no significant associations between cognitive data and radiation doses were identified. Compared with healthy controls, Group 1 patients had significantly lower overall mean perfusion values (20-30% lower, depending on the cerebral structure) and Group 2 had slightly lower mean perfusion values (5-10% lower). Perfusion values did not correlate with total prescribed irradiation doses nor with doses received by different cerebral structures. Episodic and semantic memory test scores were significantly lower in Group 1 and correlated with lower mean absolute perfusion values in the hippocampus (P < 0.04). CONCLUSIONS These preliminary results indicate that radiotherapy affects the perfusion of specific cerebral structures and identify perfusion as a potential biomarker of hippocampus-dependent memory deficit.
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Affiliation(s)
- A Troudi
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France
| | - F Tensaouti
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France; Radiation Oncology Department, Institut Claudius Regaud- Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France.
| | - B Cabarrou
- Biostatistics & Health Data Science Unit, Institut Claudius Regaud/Institut Universitaire du Cancer de Toulouse - Oncopôle, Toulouse, France
| | - G Arribarat
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France
| | - L Pollidoro
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France; Radiology Department, Toulouse University Hospital, Toulouse, France
| | - P Péran
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France
| | - A Sevely
- Radiology Department, Toulouse University Hospital, Toulouse, France
| | - M Roques
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France; Radiology Department, Toulouse University Hospital, Toulouse, France
| | - Y Chaix
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France; Pediatric Neurology Department, Children's Hospital, Toulouse University Hospital, Toulouse, France
| | - A-I Bertozzi
- Pediatric Oncology Department, Children's Hospital, Toulouse University Hospital, Toulouse, France
| | - M Gambart
- Pediatric Oncology Department, Children's Hospital, Toulouse University Hospital, Toulouse, France
| | - A Ducassou
- Radiation Oncology Department, Institut Claudius Regaud- Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France
| | - E Baudou
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France; Pediatric Neurology Department, Children's Hospital, Toulouse University Hospital, Toulouse, France
| | - A Laprie
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France; Radiation Oncology Department, Institut Claudius Regaud- Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France
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10
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Kurokawa R, Kurokawa M, Baba A, Kim J, Srinivasan A, Moritani T. Dynamic susceptibility contrast perfusion-weighted and diffusion-weighted magnetic resonance imaging findings in pilocytic astrocytoma and H3.3 and H3.1 variant diffuse midline glioma, H3K27-altered. PLoS One 2023; 18:e0288412. [PMID: 37450487 PMCID: PMC10348548 DOI: 10.1371/journal.pone.0288412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Accepted: 06/26/2023] [Indexed: 07/18/2023] Open
Abstract
OBJECTIVE This study compared the dynamic susceptibility contrast (DSC) magnetic resonance imaging parameters and apparent diffusion coefficient (ADC) between pilocytic astrocytoma (PA) and diffuse midline glioma, H3K27-altered (DMG) variants. METHODS The normalized relative cerebral blood volume (nrCBV), normalized relative flow (nrCBF), percentile signal recovery (PSR), and normalized mean ADC (nADCmean) of 23 patients with midline PAs (median age, 13 years [range, 1-71 years]; 13 female patients) and 40 patients with DMG (8.5 years [1-35 years]; 19 female patients), including 35 patients with H3.3- and five patients with H3.1-mutant tumors, treated between January 2016 and May 2022 were statistically compared. RESULTS DMG had a significantly lower nADCmean (median: 1.48 vs. 1.96; p = 0.00075) and lower PSR (0.97 vs. 1.23, p = 0.13) but higher nrCBV and nrCBF (1.66 vs. 1.17, p = 0.058, respectively, and 1.87 vs. 1.19, p = 0.028, respectively) than PA. The H3.3 variant had a lower nADCmean than the H3.1 variant (1.46 vs. 1.80, p = 0.10). CONCLUSION DMG had lower ADC and PSR and higher rCBV and rCBF than PA. The H3.3 variant had a lower ADC than the H3.1 variant. Recognizing the differences and similarities in the DSC parameters and ADC between these tumors may help presurgical diagnosis.
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Affiliation(s)
- Ryo Kurokawa
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, MI, United States of America
| | - Mariko Kurokawa
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, MI, United States of America
| | - Akira Baba
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, MI, United States of America
| | - John Kim
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, MI, United States of America
| | - Ashok Srinivasan
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, MI, United States of America
| | - Toshio Moritani
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, MI, United States of America
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11
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Su Y, Kang J, Lin X, She D, Guo W, Xing Z, Yang X, Cao D. Whole-tumor histogram analysis of diffusion and perfusion metrics for noninvasive pediatric glioma grading. Neuroradiology 2023; 65:1063-1071. [PMID: 37010573 DOI: 10.1007/s00234-023-03145-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 03/29/2023] [Indexed: 04/04/2023]
Abstract
PURPOSE An accurate assessment of the World Health Organization grade is vital for patients with pediatric gliomas to direct treatment planning. We aim to evaluate the diagnostic performance of whole-tumor histogram analysis of diffusion-weighted imaging (DWI) and dynamic susceptibility contrast-enhanced perfusion-weighted imaging (DSC-PWI) for differentiating pediatric high-grade gliomas from pediatric low-grade gliomas. METHODS Sixty-eight pediatric patients (mean age, 10.47 ± 4.37 years; 42 boys) with histologically confirmed gliomas underwent preoperative MR examination. The conventional MRI features and whole-tumor histogram features extracted from apparent diffusion coefficient (ADC) and cerebral blood volume (CBV) maps were analyzed, respectively. Receiver operating characteristic curves and the binary logistic regression analysis were performed to determine the diagnostic performance of parameters. RESULTS For conventional MRI features, location, hemorrhage and tumor margin showed significant difference between pediatric high- and low-grade gliomas (all, P < .05). For advanced MRI parameters, ten histogram features of ADC and CBV showed significant differences between pediatric high- and low-grade gliomas (all, P < .05). The diagnostic performance of the combination of DSC-PWI and DWI (AUC = 0.976, sensitivity = 100%, NPV = 100%) is superior to conventional MRI or DWI model, respectively (AUCcMRI = 0.700, AUCDWI = 0.830; both, P < .05). CONCLUSION The whole-tumor histogram analysis of DWI and DSC-PWI is a promising method for grading pediatric gliomas.
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Affiliation(s)
- Yan Su
- Department of Radiology, The First Affiliated Hospital of Fujian Medical University, 20 Cha-Zhong Road, Fujian, 350005, Fuzhou, China
| | - Jie Kang
- Department of Radiology, The First Affiliated Hospital of Fujian Medical University, 20 Cha-Zhong Road, Fujian, 350005, Fuzhou, China
| | - Xiang Lin
- Department of Radiology, The First Affiliated Hospital of Fujian Medical University, 20 Cha-Zhong Road, Fujian, 350005, Fuzhou, China
| | - Dejun She
- Department of Radiology, The First Affiliated Hospital of Fujian Medical University, 20 Cha-Zhong Road, Fujian, 350005, Fuzhou, China
| | - Wei Guo
- Department of Radiology, The First Affiliated Hospital of Fujian Medical University, 20 Cha-Zhong Road, Fujian, 350005, Fuzhou, China
| | - Zhen Xing
- Department of Radiology, The First Affiliated Hospital of Fujian Medical University, 20 Cha-Zhong Road, Fujian, 350005, Fuzhou, China
| | - Xiefeng Yang
- Department of Radiology, The First Affiliated Hospital of Fujian Medical University, 20 Cha-Zhong Road, Fujian, 350005, Fuzhou, China
| | - Dairong Cao
- Department of Radiology, The First Affiliated Hospital of Fujian Medical University, 20 Cha-Zhong Road, Fujian, 350005, Fuzhou, China.
- Department of Radiology, Fujian Key Laboratory of Precision Medicine for Cancer, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, Fujian, China.
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, Fujian, China.
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12
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Wamelink IJHG, Hempel HL, van de Giessen E, Vries MHM, De Witt Hamer P, Barkhof F, Keil VC. The patients' experience of neuroimaging of primary brain tumors: a cross-sectional survey study. J Neurooncol 2023; 162:307-315. [PMID: 36977844 PMCID: PMC10167184 DOI: 10.1007/s11060-023-04290-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 03/04/2023] [Indexed: 03/30/2023]
Abstract
PURPOSE To gain insight into how patients with primary brain tumors experience MRI, follow-up protocols, and gadolinium-based contrast agent (GBCA) use. METHODS Primary brain tumor patients answered a survey after their MRI exam. Questions were analyzed to determine trends in patients' experience regarding the scan itself, follow-up frequency, and the use of GBCAs. Subgroup analysis was performed on sex, lesion grade, age, and the number of scans. Subgroup comparison was made using the Pearson chi-square test and the Mann-Whitney U-test for categorical and ordinal questions, respectively. RESULTS Of the 100 patients, 93 had a histopathologically confirmed diagnosis, and seven were considered to have a slow-growing low-grade tumor after multidisciplinary assessment and follow-up. 61/100 patients were male, with a mean age ± standard deviation of 44 ± 14 years and 46 ± 13 years for the females. Fifty-nine patients had low-grade tumors. Patients consistently underestimated the number of their previous scans. 92% of primary brain tumor patients did not experience the MRI as bothering and 78% would not change the number of follow-up MRIs. 63% of the patients would prefer GBCA-free MRI scans if diagnostically equally accurate. Women found the MRI and receiving intravenous cannulas significantly more uncomfortable than men (p = 0.003). Age, diagnosis, and the number of previous scans had no relevant impact on the patient experience. CONCLUSION Patients with primary brain tumors experienced current neuro-oncological MRI practice as positive. Especially women would, however, prefer GBCA-free imaging if diagnostically equally accurate. Patient knowledge of GBCAs was limited, indicating improvable patient information.
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Affiliation(s)
- Ivar J H G Wamelink
- Radiology & Nuclear Medicine Department, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
- Cancer Center Amsterdam, Brain Tumor Center Amsterdam, Amsterdam, The Netherlands.
| | - Hugo L Hempel
- Radiology & Nuclear Medicine Department, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Elsmarieke van de Giessen
- Radiology & Nuclear Medicine Department, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Mark H M Vries
- Radiology & Nuclear Medicine Department, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Philip De Witt Hamer
- Cancer Center Amsterdam, Brain Tumor Center Amsterdam, Amsterdam, The Netherlands
- Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Radiology & Nuclear Medicine Department, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London, London, UK
| | - Vera C Keil
- Radiology & Nuclear Medicine Department, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Brain Tumor Center Amsterdam, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, De Boelelaan 1117, Amsterdam, The Netherlands
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13
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Kurokawa R, Kurokawa M, Baba A, Kim J, Capizzano A, Bapuraj J, Srinivasan A, Moritani T. Differentiation of pilocytic astrocytoma, medulloblastoma, and hemangioblastoma on diffusion-weighted and dynamic susceptibility contrast perfusion MRI. Medicine (Baltimore) 2022; 101:e31708. [PMID: 36343086 PMCID: PMC9646672 DOI: 10.1097/md.0000000000031708] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 10/18/2022] [Indexed: 11/09/2022] Open
Abstract
This study aimed to evaluate the diagnostic performance of dynamic susceptibility contrast (DSC) perfusion magnetic resonance imaging and apparent diffusion coefficient (ADC) for differentiating common posterior fossa tumors, pilocytic astrocytoma (PA), medulloblastoma (MB), and hemangioblastoma (HB). Between January 2016 and April 2022, we enrolled 23 (median age, 7 years [range, 2-26]; 12 female), 13 (10 years [1-24]; 3 female), and 12 (43 years [23-73]; 7 female) patients with PA, MB, and HB, respectively. Normalized relative cerebral blood volume and flow (nrCBV and nrCBF) and normalized mean ADC (nADCmean) were calculated from volume-of-interest and statistically compared. nADCmean was significantly higher in PA than in MB (PA: median, 2.2 [range, 1.59-2.65] vs MB: 0.93 [0.70-1.37], P < .001). nrCBF was significantly higher in HB than in PA and MB (PA: 1.10 [0.54-2.26] vs MB: 1.62 [0.93-3.16] vs HB: 7.83 [2.75-20.1], all P < .001). nrCBV was significantly different between all 3 tumor types (PA: 0.89 [0.34-2.28] vs MB: 1.69 [0.93-4.23] vs HB: 8.48 [4.59-16.3], P = .008 for PA vs MB; P < .001 for PA vs HB and MB vs HB). All tumors were successfully differentiated using an algorithmic approach with a threshold value of 4.58 for nrCBV and subsequent threshold value of 1.38 for nADCmean. DSC parameters and nADCmean were significantly different between PA, MB, and HB. An algorithmic approach combining nrCBV and nADCmean may be useful for differentiating these tumor types.
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Affiliation(s)
- Ryo Kurokawa
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Mariko Kurokawa
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Akira Baba
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - John Kim
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Aristides Capizzano
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Jayapalli Bapuraj
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Ashok Srinivasan
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Toshio Moritani
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
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14
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Green S, Vuong VD, Khanna PC, Crawford JR. Characterization of pediatric brain tumors using pre-diagnostic neuroimaging. Front Oncol 2022; 12:977814. [PMID: 36324580 PMCID: PMC9618728 DOI: 10.3389/fonc.2022.977814] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 09/21/2022] [Indexed: 11/13/2022] Open
Abstract
Purpose To evaluate for predictive neuroimaging features of pediatric brain tumor development and quantify tumor growth characteristics in patients who had neuroimaging performed prior to a diagnosis of a brain tumor. Methods Retrospective review of 1098 consecutive pediatric patients at a single institution with newly diagnosed brain tumors from January 2009 to October 2021 was performed to identify patients with neuroimaging prior to the diagnosis of a brain tumor. Pre-diagnostic and diagnostic neuroimaging features (e.g., tumor size, apparent diffusion coefficient (ADC) values), clinical presentations, and neuropathology were recorded in those patients who had neuroimaging performed prior to a brain tumor diagnosis. High- and low-grade tumor sizes were fit to linear and exponential growth regression models. Results Fourteen of 1098 patients (1%) had neuroimaging prior to diagnosis of a brain tumor (8 females, mean age at definitive diagnosis 8.1 years, imaging interval 0.2-8.7 years). Tumor types included low-grade glioma (n = 4), embryonal tumors (n = 2), pineal tumors (n=2), ependymoma (n = 3), and others (n = 3). Pre-diagnostic imaging of corresponding tumor growth sites were abnormal in four cases (28%) and demonstrated higher ADC values in the region of high-grade tumor growth (p = 0.05). Growth regression analyses demonstrated R2-values of 0.92 and 0.91 using a linear model and 0.64 and 0.89 using an exponential model for high- and low-grade tumors, respectively; estimated minimum velocity of diameter expansion was 2.4 cm/year for high-grade and 0.4 cm/year for low-grade tumors. High-grade tumors demonstrated faster growth rate of diameter and solid tumor volume compared to low-grade tumors (p = 0.02, p = 0.03, respectively). Conclusions This is the first study to test feasibility in utilizing pre-diagnostic neuroimaging to demonstrate that linear and exponential growth rate models can be used to estimate pediatric brain tumor growth velocity and should be validated in a larger multi-institutional cohort.
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Affiliation(s)
- Shannon Green
- Department of Radiology, University of California, San Diego, CA, United States
| | - Victoria D. Vuong
- Department of Radiology, University of California, San Diego, CA, United States
| | - Paritosh C. Khanna
- Department of Radiology, University of California, San Diego, CA, United States
- Department of Pediatrics, Rady Children’s Hospital, San Diego, CA, United States
| | - John R. Crawford
- Department of Pediatrics, Rady Children’s Hospital, San Diego, CA, United States
- Department of Pediatrics, Division of Child Neurology, Children’s Hospital Orange County, Orange, CA, United States
- Department of Pediatrics, University of California Irvine, Irvine, CA, United States
- *Correspondence: John R. Crawford,
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15
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Troudi A, Tensaouti F, Baudou E, Péran P, Laprie A. Arterial Spin Labeling Perfusion in Pediatric Brain Tumors: A Review of Techniques, Quality Control, and Quantification. Cancers (Basel) 2022; 14:4734. [PMID: 36230655 PMCID: PMC9564035 DOI: 10.3390/cancers14194734] [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: 09/12/2022] [Revised: 09/24/2022] [Accepted: 09/24/2022] [Indexed: 11/16/2022] Open
Abstract
Arterial spin labeling (ASL) is a magnetic resonance imaging (MRI) technique for measuring cerebral blood flow (CBF). This noninvasive technique has added a new dimension to the study of several pediatric tumors before, during, and after treatment, be it surgery, radiotherapy, or chemotherapy. However, ASL has three drawbacks, namely, a low signal-to-noise-ratio, a minimum acquisition time of 3 min, and limited spatial summarize current resolution. This technique requires quality control before ASL-CBF maps can be extracted and before any clinical investigations can be conducted. In this review, we describe ASL perfusion principles and techniques, summarize the most recent advances in CBF quantification, report technical advances in ASL (resting-state fMRI ASL, BOLD fMRI coupled with ASL), set out guidelines for ASL quality control, and describe studies related to ASL-CBF perfusion and qualitative and semi-quantitative ASL weighted-map quantification, in healthy children and those with pediatric brain tumors.
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Affiliation(s)
- Abir Troudi
- Toulouse Neuro Imaging Center (ToNIC), INSERM-University of Toulouse Paul Sebatier, 31300 Toulouse, France
| | - Fatima Tensaouti
- Toulouse Neuro Imaging Center (ToNIC), INSERM-University of Toulouse Paul Sebatier, 31300 Toulouse, France
- Radiation Oncology Department, Claudius Regaud Institute, Toulouse University Cancer Institute-Oncopole, 31300 Toulouse, France
| | - Eloise Baudou
- Toulouse Neuro Imaging Center (ToNIC), INSERM-University of Toulouse Paul Sebatier, 31300 Toulouse, France
- Pediatric Neurology Department, Children’s Hospital, Toulouse University Hospital, 31300 Toulouse, France
| | - Patrice Péran
- Toulouse Neuro Imaging Center (ToNIC), INSERM-University of Toulouse Paul Sebatier, 31300 Toulouse, France
| | - Anne Laprie
- Toulouse Neuro Imaging Center (ToNIC), INSERM-University of Toulouse Paul Sebatier, 31300 Toulouse, France
- Radiation Oncology Department, Claudius Regaud Institute, Toulouse University Cancer Institute-Oncopole, 31300 Toulouse, France
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Kurokawa R, Baba A, Kurokawa M, Capizzano A, Ota Y, Kim J, Srinivasan A, Moritani T. Perfusion and diffusion-weighted imaging parameters: Comparison between pre- and postbiopsy MRI for high-grade glioma. Medicine (Baltimore) 2022; 101:e30183. [PMID: 36107564 PMCID: PMC9439799 DOI: 10.1097/md.0000000000030183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
We aimed to evaluate the differences in dynamic susceptibility contrast (DSC)- magnetic resonance imaging (MRI) and diffusion-weighted imaging (DWI) parameters between the pre- and postbiopsy MRI obtained before treatment in patients with diffuse midline glioma, H3K27-altered. The data of 25 patients with pathologically proven diffuse midline glioma, H3K27-altered, were extracted from our hospital's database between January 2017 and August 2021. Twenty (median age, 13 years; range, 3-52 years; 12 women) and 8 (13.5 years; 5-68 years; 1 woman) patients underwent preoperative DSC-MRI and DWI before and after biopsy, respectively. The normalized corrected relative cerebral blood volume (ncrCBV), normalized relative cerebral blood flow (nrCBF), and normalized maximum, mean, and minimum apparent diffusion coefficient (ADC) were calculated using the volumes-of-interest of the tumor and normal-appearing reference region. The macroscopic postbiopsy changes (i.e., biopsy tract, tissue defect, and hemorrhage) were meticulously excluded from the postbiopsy measurements. The DSC-MRI and DWI parameters of the pre- and postbiopsy groups were compared using the Mann-Whitney U test. The ncrCBV was significantly lower in the postbiopsy group than in the prebiopsy group [prebiopsy group: median 1.293 (range, 0.513 to 2.547) versus postbiopsy group: 0.877 (0.748 to 1.205), P = .016]. No significant difference was observed in the nrCBF and normalized ADC values, although the median nrCBF was lower in the postbiopsy group. The DSC-MRI parameters differed between the pre- and postbiopsy MRI obtained pretreatment, although the macroscopic postbiopsy changes were carefully excluded from the analysis. The results emphasize the potential danger of integrating and analyzing DSC-MRI parameters derived from pre- and postbiopsy MRI.
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Affiliation(s)
- Ryo Kurokawa
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, MI
- *Correspondence: Ryo Kurokawa, Division of Neuroradiology, Department of Radiology, University of Michigan, 1500 E Medical Center Dr, UH B2, Ann Arbor, MI 48109 (e-mail: )
| | - Akira Baba
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, MI
| | - Mariko Kurokawa
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, MI
| | - Aristides Capizzano
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, MI
| | - Yoshiaki Ota
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, MI
| | - John Kim
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, MI
| | - Ashok Srinivasan
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, MI
| | - Toshio Moritani
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, MI
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Advanced Neuroimaging Approaches to Pediatric Brain Tumors. Cancers (Basel) 2022; 14:cancers14143401. [PMID: 35884462 PMCID: PMC9318188 DOI: 10.3390/cancers14143401] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Accepted: 07/08/2022] [Indexed: 12/10/2022] Open
Abstract
Simple Summary After leukemias, brain tumors are the most common cancers in children, and early, accurate diagnosis is critical to improve patient outcomes. Beyond the conventional imaging methods of computed tomography (CT) and magnetic resonance imaging (MRI), advanced neuroimaging techniques capable of both structural and functional imaging are moving to the forefront to improve the early detection and differential diagnosis of tumors of the central nervous system. Here, we review recent developments in neuroimaging techniques for pediatric brain tumors. Abstract Central nervous system tumors are the most common pediatric solid tumors; they are also the most lethal. Unlike adults, childhood brain tumors are mostly primary in origin and differ in type, location and molecular signature. Tumor characteristics (incidence, location, and type) vary with age. Children present with a variety of symptoms, making early accurate diagnosis challenging. Neuroimaging is key in the initial diagnosis and monitoring of pediatric brain tumors. Conventional anatomic imaging approaches (computed tomography (CT) and magnetic resonance imaging (MRI)) are useful for tumor detection but have limited utility differentiating tumor types and grades. Advanced MRI techniques (diffusion-weighed imaging, diffusion tensor imaging, functional MRI, arterial spin labeling perfusion imaging, MR spectroscopy, and MR elastography) provide additional and improved structural and functional information. Combined with positron emission tomography (PET) and single-photon emission CT (SPECT), advanced techniques provide functional information on tumor metabolism and physiology through the use of radiotracer probes. Radiomics and radiogenomics offer promising insight into the prediction of tumor subtype, post-treatment response to treatment, and prognostication. In this paper, a brief review of pediatric brain cancers, by type, is provided with a comprehensive description of advanced imaging techniques including clinical applications that are currently utilized for the assessment and evaluation of pediatric brain tumors.
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Lavrova A, Teunissen WHT, Warnert EAH, van den Bent M, Smits M. Diagnostic Accuracy of Arterial Spin Labeling in Comparison With Dynamic Susceptibility Contrast-Enhanced Perfusion for Brain Tumor Surveillance at 3T MRI. Front Oncol 2022; 12:849657. [PMID: 35669426 PMCID: PMC9163566 DOI: 10.3389/fonc.2022.849657] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 04/21/2022] [Indexed: 11/13/2022] Open
Abstract
PurposeWe aimed to compare arterial spin labeling (ASL) with dynamic susceptibility contrast (DSC) enhanced perfusion MRI for the surveillance of primary and metastatic brain tumors at 3T, both in terms of lesion perfusion metrics and diagnostic accuracy.MethodsIn this retrospective study, we included 115 patients, who underwent both ASL and DSC perfusion in the same 3T MRI scanning session between 1 January and 31 December 2019. ASL-derived cerebral blood flow (CBF) maps and DSC-derived relative cerebral blood volume (rCBV) maps, both uncorrected and corrected for leakage, were created with commercially available software. Lesions were identified as T2-/T2-FLAIR hyperintensity with or without contrast enhancement. Measurements were done by placing a region of interest in the visually determined area of highest perfusion, copying to the contralateral normal appearing white matter (NAWM), and then propagating to the other perfusion maps. Pearson’s correlation coefficients were calculated between the CBF and rCBV ratios of tumor versus NAWM. Accuracy for diagnosing tumor progression was calculated as the area under the receiver operating characteristics (ROC) curve (AUC) for the ASL-CBF and leakage corrected DSC-rCBV ratios.ResultsWe identified 178 lesions, 119 with and 59 without contrast enhancement. Correlation coefficients between ASL-derived CBF versus DSC-derived rCBV ratios were 0.60–0.67 without and 0.72–0.78 with leakage correction in all lesions (n = 178); these were 0.65–0.80 in enhancing glioma (n = 80), 0.58–0.73 in non-enhancing glioma, and 0.14–0.40 in enhancing metastasis (n = 31). No significant correlation was found in enhancing (n = 8) or non-enhancing (n = 7) lymphomas. The areas under the ROC curves (AUCs) for all patients were similar for ASL and DSC (0.73–0.78), and were higher for enhancing glioma (AUC = 0.78–0.80) than for non-enhancing glioma (AUC = 0.56–0.62). In brain metastasis, the AUC was lower for ASL-derived CBF (AUC = 0.72) than for DSC-derived rCBV ratios (AUC = 0.87–0.93).ConclusionWe found that ASL and DSC have more or less the same diagnostic accuracy. Our findings suggest that ASL can be used as an alternative to DSC to measure perfusion in enhancing and non-enhancing gliomas and brain metastasis at 3T. For lymphoma, this should be further investigated in a larger population.
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Affiliation(s)
- Anna Lavrova
- Department of Radiology, University of Michigan Hospital, Ann Arbor, MI, United States
- Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands
| | - Wouter H. T. Teunissen
- Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands
- Brain Tumour Centre, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | | | - Martin van den Bent
- Brain Tumour Centre, Erasmus MC Cancer Institute, Rotterdam, Netherlands
- Department of Neurology, Erasmus MC, Rotterdam, Netherlands
| | - Marion Smits
- Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands
- Brain Tumour Centre, Erasmus MC Cancer Institute, Rotterdam, Netherlands
- *Correspondence: Marion Smits,
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Batalov AI, Zakharova NE, Pronin IN, Belyaev AY, Pogosbekyan EL, Goryaynov SA, Bykanov AE, Tyurina AN, Shevchenko AM, Solozhentseva KD, Nikitin PV, Potapov AA. 3D pCASL-perfusion in preoperative assessment of brain gliomas in large cohort of patients. Sci Rep 2022; 12:2121. [PMID: 35136119 PMCID: PMC8826414 DOI: 10.1038/s41598-022-05992-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Accepted: 01/18/2022] [Indexed: 01/02/2023] Open
Abstract
The aim of the study was to evaluate the role of pseudocontinuous arterial spin labeling perfusion (pCASL-perfusion) in preoperative assessment of cerebral glioma grades. The study group consisted of 253 patients, aged 7-78 years with supratentorial gliomas (65 low-grade gliomas (LGG), 188 high-grade gliomas (HGG)). We used 3D pCASL-perfusion for each patient in order to calculate the tumor blood flow (TBF). We obtained maximal tumor blood flow (maxTBF) in small regions of interest (30 ± 10 mm2) and then normalized absolute maximum tumor blood flow (nTBF) to that of the contralateral normal-appearing white matter of the centrum semiovale. MaxTBF and nTBF values significantly differed between HGG and LGG groups (p < 0.001), as well as between patient groups separated by the grades (grade II vs. grade III) (p < 0.001). Moreover, we performed ROC-analysis which demonstrated high sensitivity and specificity in differentiating between HGG and LGG. We found significant differences for maxTBF and nTBF between grade III and IV gliomas, however, ROC-analysis showed low sensitivity and specificity. We did not observe a significant difference in TBF for astrocytomas and oligodendrogliomas. Our study demonstrates that 3D pCASL-perfusion as an effective diagnostic tool for preoperative differentiation of glioma grades.
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Affiliation(s)
- A I Batalov
- Federal State Autonomous Institution N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, Moscow, Russian Federation
| | - N E Zakharova
- Federal State Autonomous Institution N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, Moscow, Russian Federation
| | - I N Pronin
- Federal State Autonomous Institution N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, Moscow, Russian Federation
| | - A Yu Belyaev
- Federal State Autonomous Institution N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, Moscow, Russian Federation
| | - E L Pogosbekyan
- Federal State Autonomous Institution N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, Moscow, Russian Federation
| | - S A Goryaynov
- Federal State Autonomous Institution N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, Moscow, Russian Federation
| | - A E Bykanov
- Federal State Autonomous Institution N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, Moscow, Russian Federation
| | - A N Tyurina
- Federal State Autonomous Institution N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, Moscow, Russian Federation
| | - A M Shevchenko
- Federal State Autonomous Institution N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, Moscow, Russian Federation.
| | - K D Solozhentseva
- Federal State Autonomous Institution N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, Moscow, Russian Federation
| | - P V Nikitin
- Federal State Autonomous Institution N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, Moscow, Russian Federation
| | - A A Potapov
- Federal State Autonomous Institution N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, Moscow, Russian Federation
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Jaiswal M, Tripathi A, Singh D, Kumar A, Singh M, Batra N, Verma A. Clinical Correlation and Role of Cyclin D1 Expression in Glioblastoma Patients: A Study From North India. Cureus 2022; 14:e22346. [PMID: 35223330 PMCID: PMC8857909 DOI: 10.7759/cureus.22346] [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] [Accepted: 02/17/2022] [Indexed: 11/12/2022] Open
Abstract
Background/Aims Glioblastoma multiforme (GBM) is the most aggressive primary brain tumor. Cyclin D1 is a protein that in humans is encoded by the CCND1 gene. Cyclin D1 protein is frequently overexpressed in malignant gliomas. Methods It is an observational study comprising 40 biopsy-proven cases of GBM in a span of one and half years. Immunohistochemistry (IHC) was used with Cyclin D1 monoclonal antibody. Cyclin D1 on the outcome was assessed using the Kaplan-Meier survival estimate and compared by log-rank test. Results Cyclin D1 was expressed in 60% of patients. The majority (72.5%) of patients expired during the study period, out of which 69% showed immune-expression in contrast to living subjects, out of which only 45.5% of patients exhibited expression. The maximum number of glioblastoma patients were aged between 41 and 50 years (40%), followed by those aged between 31 and 40 years (20%). The male to female ratio of study subjects was 3.44:1. Conclusion The study concluded that there is no significant association between Cyclin D1 expression status and different demographic, clinical, and outcome variables.
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Affiliation(s)
- Mamta Jaiswal
- Pathology, Guru Shri Gorakhnath Chikitsalaya, Gorakhpur, IND
| | | | - Dezy Singh
- Forensic Medicine • Toxicology, Uttarakhand Ayurved University, Rishikesh, IND
| | - Arvind Kumar
- Pathology, All India Institute of Medical Sciences, Rishikesh, IND
| | - Monika Singh
- Pathology, All India Institute of Medical Sciences, Rishikesh, IND
| | - Neha Batra
- Pathology, Government Doon Medical College, Dehradun, IND
| | - Anil Verma
- Pathology, Raipur Institute of Medical Sciences, Raipur, IND
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Kurokawa R, Kurokawa M, Baba A, Ota Y, Kim J, Capizzano A, Srinivasan A, Moritani T. Dynamic susceptibility contrast-MRI parameters, ADC values, and the T2-FLAIR mismatch sign are useful to differentiate between H3-mutant and H3-wild-type high-grade midline glioma. Eur Radiol 2022; 32:3672-3682. [PMID: 35022811 DOI: 10.1007/s00330-021-08476-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 10/25/2021] [Accepted: 11/21/2021] [Indexed: 11/26/2022]
Abstract
OBJECTIVES Diffuse midline gliomas, H3K27-altered (DMG-A), are malignant gliomas with an unfavorable prognosis. Knowledge of dynamic susceptibility contrast (DSC) MRI findings and imaging differences with high-grade midline glioma without H3K27 alteration (DMG-W) has been limited. We compared the DSC, ADC, and conventional MRI findings between DMG-A and DMG-W. METHODS In this single institutional retrospective study, the electronic database of our hospital between June 2015 and May 2021 was searched. Twenty and 17 patients with DMG-A (median, 13 years; range, 3-52 years; 11 females) and DMG-W (median, 40 years; 7-73 years; 9 females), respectively, were found. Normalized relative cerebral blood flow (nrCBF) and normalized corrected relative cerebral blood volume (ncrCBV); normalized maximum, mean, and minimum ADC values; and the prevalence of T2-FLAIR mismatch sign were compared between the two groups using Mann-Whitney U tests and Fisher's exact test. RESULTS The nrCBF and ncrCBV were significantly lower in DMG-A compared with DMG-W (nrCBF: median 0.88 [range, 0.19-2.67] vs. 1.47 [range, 0.57-4.90] (p < 0.001); ncrCBV: 1.17 [0.20-2.67] vs. 1.56 [0.60-4.03] (p = 0.008)). Normalized maximum ADC (nADCmax) was significantly higher in DMG-A (median 2.37 [1.25-3.98] vs. 1.95 [1.23-2.77], p = 0.02). T2-FLAIR mismatch sign was significantly more common in DMG-A (11/20 (55.0%) vs. 1/17 (5.9%), p = 0.0017). When at least two of nrCBF < 1.11, nADCmax ≥ 2.48, and T2-FLAIR mismatch sign were positive, the diagnostic performance was the highest with accuracy of 0.81. CONCLUSION DSC-MRI parameters, ADC values, and the T2-FLAIR mismatch sign are useful to differentiate between DMG-A and DMG-W. KEY POINTS • Diffuse midline glioma, H3K27-altered (DMG-A), showed a significantly lower normalized relative cerebral blood flow and volume compared with H3K27-wild-type counterparts (DMG-W). • T2-fluid-attenuated inversion recovery (FLAIR) mismatch sign was significantly more frequent in DMG-A compared to DMG-W. • Indicators that combined DSC parameters, ADC values, and T2-FLAIR mismatch sign, with or without age, are useful to distinguish the two tumors.
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Affiliation(s)
- Ryo Kurokawa
- Division of Neuroradiology, Department of Radiology, Michigan Medicine, 1500E Medical Center Drive, Ann Arbor, MI, 48109, USA.
| | - Mariko Kurokawa
- Division of Neuroradiology, Department of Radiology, Michigan Medicine, 1500E Medical Center Drive, Ann Arbor, MI, 48109, USA
| | - Akira Baba
- Division of Neuroradiology, Department of Radiology, Michigan Medicine, 1500E Medical Center Drive, Ann Arbor, MI, 48109, USA
| | - Yoshiaki Ota
- Division of Neuroradiology, Department of Radiology, Michigan Medicine, 1500E Medical Center Drive, Ann Arbor, MI, 48109, USA
| | - John Kim
- Division of Neuroradiology, Department of Radiology, Michigan Medicine, 1500E Medical Center Drive, Ann Arbor, MI, 48109, USA
| | - Aristides Capizzano
- Division of Neuroradiology, Department of Radiology, Michigan Medicine, 1500E Medical Center Drive, Ann Arbor, MI, 48109, USA
| | - Ashok Srinivasan
- Division of Neuroradiology, Department of Radiology, Michigan Medicine, 1500E Medical Center Drive, Ann Arbor, MI, 48109, USA
| | - Toshio Moritani
- Division of Neuroradiology, Department of Radiology, Michigan Medicine, 1500E Medical Center Drive, Ann Arbor, MI, 48109, USA
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22
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Kurokawa R, Umemura Y, Capizzano A, Kurokawa M, Baba A, Holmes A, Kim J, Ota Y, Srinivasan A, Moritani T. Dynamic susceptibility contrast and diffusion-weighted MRI in posterior fossa pilocytic astrocytoma and medulloblastoma. J Neuroimaging 2022; 32:511-520. [PMID: 34997668 DOI: 10.1111/jon.12962] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Revised: 12/16/2021] [Accepted: 12/17/2021] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND AND PURPOSE The utility of perfusion MRI in distinguishing between pilocytic astrocytoma (PA) and medulloblastoma (MB) is unclear. This study aimed to evaluate the diagnostic and prognostic performance of dynamic susceptibility contrast (DSC)-MRI parameters and apparent diffusion coefficient (ADC) values between PA and MB. METHODS Between January 2012 and August 2021, 49 (median, 7 years [range, 1-28 years]; 28 females) and 35 (median, 8 years [1-24 years]; 12 females) patients with pathologically confirmed PA and MB, respectively, were included. The normalized relative cerebral blood volume and flow (nrCBV and nrCBF) and mean and minimal normalized ADC (nADCmean and nADCmin) values were calculated using volume-of-interest analyses. Diagnostic performance and Pearson's correlation with progression-free survival were also evaluated. RESULTS The MB group showed a significantly higher nrCBV and nrCBF (nrCBV: 1.69 [0.93-4.23] vs. 0.95 [range, 0.37-2.28], p = .0032; nrCBF: 1.62 [0.93-3.16] vs. 1.07 [0.46-2.26], p = .0084) and significantly lower nADCmean and nADCmin (nADCmean: 0.97 [0.70-1.68] vs. 2.21 [1.44-2.80], p < .001; nADCmin: 0.50 [0.19-0.89] vs. 1.42 [0.89-2.20], p < .001) than the PA group. All parameters exhibited good diagnostic ability (accuracy >0.80) with nADCmin achieving the highest score (accuracy = 1). A moderate correlation was found between nADCmean and progression-free survival for MB (r = 0.44, p = .0084). CONCLUSIONS DSC-MRI parameters and ADC values were useful for distinguishing between PA and MB. A lower ADC indicated an unfavorable MB prognosis, but the DSC-MRI parameters did not correlate with progression-free survival in either group.
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Affiliation(s)
- Ryo Kurokawa
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Yoshie Umemura
- Department of Neurology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Aristides Capizzano
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Mariko Kurokawa
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Akira Baba
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Adam Holmes
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - John Kim
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Yoshiaki Ota
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Ashok Srinivasan
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Toshio Moritani
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
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Gonçalves FG, Viaene AN, Vossough A. Advanced Magnetic Resonance Imaging in Pediatric Glioblastomas. Front Neurol 2021; 12:733323. [PMID: 34858308 PMCID: PMC8631300 DOI: 10.3389/fneur.2021.733323] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 10/12/2021] [Indexed: 12/26/2022] Open
Abstract
The shortly upcoming 5th edition of the World Health Organization Classification of Tumors of the Central Nervous System is bringing extensive changes in the terminology of diffuse high-grade gliomas (DHGGs). Previously "glioblastoma," as a descriptive entity, could have been applied to classify some tumors from the family of pediatric or adult DHGGs. However, now the term "glioblastoma" has been divested and is no longer applied to tumors in the family of pediatric types of DHGGs. As an entity, glioblastoma remains, however, in the family of adult types of diffuse gliomas under the insignia of "glioblastoma, IDH-wildtype." Of note, glioblastomas still can be detected in children when glioblastoma, IDH-wildtype is found in this population, despite being much more common in adults. Despite the separation from the family of pediatric types of DHGGs, what was previously labeled as "pediatric glioblastomas" still remains with novel labels and as new entities. As a result of advances in molecular biology, most of the previously called "pediatric glioblastomas" are now classified in one of the four family members of pediatric types of DHGGs. In this review, the term glioblastoma is still apocryphally employed mainly due to its historical relevance and the paucity of recent literature dealing with the recently described new entities. Therefore, "glioblastoma" is used here as an umbrella term in the attempt to encompass multiple entities such as astrocytoma, IDH-mutant (grade 4); glioblastoma, IDH-wildtype; diffuse hemispheric glioma, H3 G34-mutant; diffuse pediatric-type high-grade glioma, H3-wildtype and IDH-wildtype; and high grade infant-type hemispheric glioma. Glioblastomas are highly aggressive neoplasms. They may arise anywhere in the developing central nervous system, including the spinal cord. Signs and symptoms are non-specific, typically of short duration, and usually derived from increased intracranial pressure or seizure. Localized symptoms may also occur. The standard of care of "pediatric glioblastomas" is not well-established, typically composed of surgery with maximal safe tumor resection. Subsequent chemoradiation is recommended if the patient is older than 3 years. If younger than 3 years, surgery is followed by chemotherapy. In general, "pediatric glioblastomas" also have a poor prognosis despite surgery and adjuvant therapy. Magnetic resonance imaging (MRI) is the imaging modality of choice for the evaluation of glioblastomas. In addition to the typical conventional MRI features, i.e., highly heterogeneous invasive masses with indistinct borders, mass effect on surrounding structures, and a variable degree of enhancement, the lesions may show restricted diffusion in the solid components, hemorrhage, and increased perfusion, reflecting increased vascularity and angiogenesis. In addition, magnetic resonance spectroscopy has proven helpful in pre- and postsurgical evaluation. Lastly, we will refer to new MRI techniques, which have already been applied in evaluating adult glioblastomas, with promising results, yet not widely utilized in children.
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Affiliation(s)
- Fabrício Guimarães Gonçalves
- Division of Neuroradiology, Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Angela N Viaene
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States.,Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Arastoo Vossough
- Division of Neuroradiology, Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
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Ibrahim Abdul Hakeem AH, Khaled RST, Sherif Ismail M. Expression of Anaplastic Lymphoma Kinase in Astrocytic Tumors (Histopathological and Immunohistochemical Study). Open Access Maced J Med Sci 2021. [DOI: 10.3889/oamjms.2021.6818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND: Astrocytic tumors are the most common primary brain tumors. Glioblastoma is the most common astrocytic tumor representing the highest World Health Organization (WHO) grade (WHO grade IV) with poor prognosis and short survival time. Anaplastic lymphoma kinase (ALK) has a role in embryonic central nervous system development. ALK receptor is thought to contribute to nervous system function, repair, and metabolic homeostasis and is expressed in high-grade tumors like anaplastic large cell lymphoma that makes it a potential target for therapeutic intervention.
AIM: This work aimed to examine the immunohistochemical expression of ALK in astrocytic tumors and its correlation with age, sex, clinical presentation, location, laterality, recurrence, and WHO grade to implicate possible therapeutic potential.
METHODS: This retrospective study was conducted on sixty cases of archived, formalin-fixed, paraffin-embedded tissue blocks that included different subtypes and grades of astrocytic tumors. Immunohistochemistry using ALK monoclonal antibody was performed using a standard avidin-biotin-peroxidase system.
RESULTS: Of the sixty cases, 57 (95%) cases were negative for ALK, while three (5%) cases are positive for ALK; all showed the strong intensity of expression. No statistically significant association was found between ALK expression and astrocytic tumors in addition to other clinical variables of the studied tumors.
CONCLUSIONS: Most cases of astrocytic tumors showed negative ALK expression apart from three positive cases seen in higher WHO grades, especially gliosarcoma. The high number of negative cases for ALK in our study group suggests that ALK expression is not associated with a prognostic significance toward astrocytic tumors whatever its grade.
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Harteveld AA, Littooij AS, van Noesel MM, van Stralen M, Bos C. Perfusion imaging of neuroblastoma and nephroblastoma in a paediatric population using pseudo-continuous arterial spin-labelling magnetic resonance imaging. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2021; 35:235-246. [PMID: 34342775 PMCID: PMC8995293 DOI: 10.1007/s10334-021-00943-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 06/18/2021] [Accepted: 07/07/2021] [Indexed: 11/29/2022]
Abstract
Objectives To examine the feasibility of performing ASL-MRI in paediatric patients with solid abdominal tumours. Methods Multi-delay ASL data sets were acquired in ten paediatric patients diagnosed with either a neuroblastoma (n = 4) or nephroblastoma (n = 6) during a diagnostic MRI examination at a single visit (n = 4 at initial staging, n = 2 neuroblastoma and n = 2 nephroblastoma patients; n = 6 during follow-up, n = 2 neuroblastoma and n = 4 nephroblastoma patients). Visual evaluation and region-of-interest (ROI) analyses were performed on the processed perfusion-weighted images to assess ASL perfusion signal dynamics in the whole tumour, contralateral kidney, and tumour sub-regions with/without contrast enhancement. Results The majority of the included abdominal tumours presented with relatively low perfusion-weighted signal (PWS), especially compared with the highly perfused kidneys. Within the tumours, regions with high PWS were observed which, at short PLD, are possibly related to labelled blood inside vessels and at long PLD, reflect labelled blood accumulating inside tumour tissue over time. Conversely, comparison of ASL perfusion-weighted image findings with T1w enhancement after contrast administration showed that regions lacking contrast enhancement also were void of PWS. Discussion This pilot study demonstrates the feasibility of utilizing ASL-MRI in paediatric patients with solid abdominal tumours and provides a basis for further research on non-invasive perfusion measurements in this study population.
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Affiliation(s)
- Anita Adriaantje Harteveld
- Department of Radiology, University Medical Centre Utrecht, Utrecht University, P.O. box 85500, 3508 GA, Utrecht, The Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Annemieke Simone Littooij
- Department of Radiology, University Medical Centre Utrecht, Utrecht University, P.O. box 85500, 3508 GA, Utrecht, The Netherlands.,Princess Máxima Centre for Paediatric Oncology, Utrecht, The Netherlands
| | | | - Marijn van Stralen
- Department of Radiology, University Medical Centre Utrecht, Utrecht University, P.O. box 85500, 3508 GA, Utrecht, The Netherlands
| | - Clemens Bos
- Department of Radiology, University Medical Centre Utrecht, Utrecht University, P.O. box 85500, 3508 GA, Utrecht, The Netherlands.
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Testud B, Brun G, Varoquaux A, Hak JF, Drai M, Appay R, Le Troter A, Girard N, Stellmann JP. Efficacité de la perfusion premier passage et arterial spin labeling dans le grading des tumeurs cérébrales pédiatriques en pratique quotidienne. J Neuroradiol 2021. [DOI: 10.1016/j.neurad.2021.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Calmon R, Dangouloff-Ros V, Varlet P, Deroulers C, Philippe C, Debily MA, Castel D, Beccaria K, Blauwblomme T, Grevent D, Levy R, Roux CJ, Purcell Y, Saitovitch A, Zilbovicius M, Dufour C, Puget S, Grill J, Boddaert N. Radiogenomics of diffuse intrinsic pontine gliomas (DIPGs): correlation of histological and biological characteristics with multimodal MRI features. Eur Radiol 2021; 31:8913-8924. [PMID: 34003354 DOI: 10.1007/s00330-021-07991-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 03/10/2021] [Accepted: 04/09/2021] [Indexed: 12/14/2022]
Abstract
OBJECTIVES The diffuse intrinsic pontine gliomas (DIPGs) are now defined by the type of histone H3 mutated at lysine 27. We aimed to correlate the multimodal MRI features of DIPGs, H3K27M mutant, with their histological and molecular characteristics. METHODS Twenty-seven treatment-naïve children with histopathologically confirmed DIPG H3K27M mutant were prospectively included. MRI performed prior to biopsy included multi-b-value diffusion-weighted imaging, ASL, and dynamic susceptibility contrast (DSC) perfusion imaging. The ADC and cerebral blood flow (CBF) and blood volume (CBV) were measured at the biopsy site. We assessed quantitative histological data, including microvascular density, nuclear density, and H3K27M-positive nuclear density. Gene expression profiling was also assessed in the samples. We compared imaging and histopathological data according to histone subgroup. We correlated MRI quantitative data with histological data and gene expression. RESULTS H3.1K27M mutated tumors showed higher ADC values (median 3151 μm2/s vs 1741 μm2/s, p = 0.003), and lower perfusion values (DSC-rCBF median 0.71 vs 1.43, p = 0.002, and DSC-rCBV median 1.00 vs 1.71, p = 0.02) than H3.3K27M ones. They had similar microvascular and nuclear density, but lower H3K27M-positive nuclear density (p = 0.007). The DSC-rCBV was positively correlated to the H3K27M-positive nuclear density (rho = 0.74, p = 0.02). ADC values were not correlated with nuclear density nor perfusion values with microvascular density. The expression of gated channel activity-related genes tended to be inversely correlated with ADC values and positively correlated with DSC perfusion. CONCLUSIONS H3.1K27M mutated tumors have higher ADC and lower perfusion values than H3.3K27M ones, without direct correlation with microvascular or nuclear density. This may be due to tissular edema possibly related to gated channel activity-related gene expression. KEY POINTS • H3.1K27M mutant DIPG had higher apparent diffusion coefficient (p = 0.003), lower α (p = 0.048), and lower relative cerebral blood volume (p = 0.02) than H3.3K27M mutant DIPG at their biopsy sites. • Biopsy samples obtained within the tumor's enhancing portion showed higher microvascular density (p = 0.03) than samples obtained outside the tumor's enhancing portion, but similar H3K27M-positive nuclear density (p = 0.84). • Relative cerebral blood volume measured at the biopsy site was significantly correlated with H3K27M-positive nuclear density (rho = 0.74, p = 0.02).
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Affiliation(s)
- Raphaël Calmon
- Pediatric Radiology Department, AP-HP, Hôpital Universitaire Necker-Enfants Malades, 149 rue de Sèvres, F-75015, Paris, France.,Université de Paris, INSERM ERL UA10, F-75015, Paris, France.,Université de Paris, UMR 1163, Institut Imagine, F-75015, Paris, France
| | - Volodia Dangouloff-Ros
- Pediatric Radiology Department, AP-HP, Hôpital Universitaire Necker-Enfants Malades, 149 rue de Sèvres, F-75015, Paris, France. .,Université de Paris, INSERM ERL UA10, F-75015, Paris, France. .,Université de Paris, UMR 1163, Institut Imagine, F-75015, Paris, France.
| | - Pascale Varlet
- Neuropathology Department, Sainte-Anne Hospital, F-75014, Paris, France.,Université de Paris, INSERM U894, IMA BRAIN, F-75014, Paris, France
| | | | - Cathy Philippe
- Université Paris-Saclay, Neurospin, Institut Joliot, CEA, Gif-sur-Yvette, France
| | | | - David Castel
- Université Paris-Saclay, UMR8203, CNRS, F-94805, Villejuif, France
| | - Kevin Beccaria
- Pediatric Neurosurgery Department, AP-HP, Hôpital Universitaire Necker-Enfants Malades, F-75015, Paris, France.,Université de Paris, F-75015, Paris, France
| | - Thomas Blauwblomme
- Pediatric Neurosurgery Department, AP-HP, Hôpital Universitaire Necker-Enfants Malades, F-75015, Paris, France.,Université de Paris, F-75015, Paris, France
| | - David Grevent
- Pediatric Radiology Department, AP-HP, Hôpital Universitaire Necker-Enfants Malades, 149 rue de Sèvres, F-75015, Paris, France.,Université de Paris, INSERM ERL UA10, F-75015, Paris, France.,Université de Paris, UMR 1163, Institut Imagine, F-75015, Paris, France
| | - Raphael Levy
- Pediatric Radiology Department, AP-HP, Hôpital Universitaire Necker-Enfants Malades, 149 rue de Sèvres, F-75015, Paris, France.,Université de Paris, INSERM ERL UA10, F-75015, Paris, France.,Université de Paris, UMR 1163, Institut Imagine, F-75015, Paris, France
| | - Charles-Joris Roux
- Pediatric Radiology Department, AP-HP, Hôpital Universitaire Necker-Enfants Malades, 149 rue de Sèvres, F-75015, Paris, France.,Université de Paris, INSERM ERL UA10, F-75015, Paris, France.,Université de Paris, UMR 1163, Institut Imagine, F-75015, Paris, France
| | - Yvonne Purcell
- Radiology Department, Fondation Rothschild, F-75019, Paris, France
| | - Ana Saitovitch
- Université de Paris, INSERM ERL UA10, F-75015, Paris, France.,Université de Paris, UMR 1163, Institut Imagine, F-75015, Paris, France
| | - Monica Zilbovicius
- Université de Paris, INSERM ERL UA10, F-75015, Paris, France.,Université de Paris, UMR 1163, Institut Imagine, F-75015, Paris, France
| | - Christelle Dufour
- Université Paris-Saclay, UMR8203, CNRS, F-94805, Villejuif, France.,Department of Pediatric and Adolescent Oncology, Institut Gustave Roussy, F-94805, Villejuif, France
| | - Stéphanie Puget
- Pediatric Neurosurgery Department, AP-HP, Hôpital Universitaire Necker-Enfants Malades, F-75015, Paris, France.,Université de Paris, F-75015, Paris, France
| | - Jacques Grill
- Université Paris-Saclay, UMR8203, CNRS, F-94805, Villejuif, France.,Department of Pediatric and Adolescent Oncology, Institut Gustave Roussy, F-94805, Villejuif, France
| | - Nathalie Boddaert
- Pediatric Radiology Department, AP-HP, Hôpital Universitaire Necker-Enfants Malades, 149 rue de Sèvres, F-75015, Paris, France.,Université de Paris, INSERM ERL UA10, F-75015, Paris, France.,Université de Paris, UMR 1163, Institut Imagine, F-75015, Paris, France
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Bag AK, Chiang J, Patay Z. Radiohistogenomics of pediatric low-grade neuroepithelial tumors. Neuroradiology 2021; 63:1185-1213. [PMID: 33779771 PMCID: PMC8295117 DOI: 10.1007/s00234-021-02691-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 03/10/2021] [Indexed: 12/14/2022]
Abstract
PURPOSE In addition to histology, genetic alteration is now required to classify many central nervous system (CNS) tumors according to the most recent World Health Organization CNS tumor classification scheme. Although that is still not the case for classifying pediatric low-grade neuroepithelial tumors (PLGNTs), genetic and molecular features are increasingly being used for making treatment decisions. This approach has become a standard clinical practice in many specialized pediatric cancer centers and will likely be more widely practiced in the near future. This paradigm shift in the management of PLGNTs necessitates better understanding of how genetic alterations influence histology and imaging characteristics of individual PLGNT phenotypes. METHODS The complex association of genetic alterations with histology, clinical, and imaging of each phenotype of the extremely heterogeneous PLGNT family has been addressed in a holistic approach in this up-to-date review article. A new imaging stratification scheme has been proposed based on tumor morphology, location, histology, and genetics. Imaging characteristics of each PLGNT entity are also depicted in light of histology and genetics. CONCLUSION This article reviews the association of specific genetic alteration with location, histology, imaging, and prognosis of a specific tumor of the PLGNT family and how that information can be used for better imaging of these tumors.
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Affiliation(s)
- Asim K Bag
- Department of Diagnostic Imaging, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Mail Stop 220, Memphis, TN, 38105, USA.
| | - Jason Chiang
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Zoltan Patay
- Department of Diagnostic Imaging, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Mail Stop 220, Memphis, TN, 38105, USA
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29
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Wagner MW, Hainc N, Khalvati F, Namdar K, Figueiredo L, Sheng M, Laughlin S, Shroff MM, Bouffet E, Tabori U, Hawkins C, Yeom KW, Ertl-Wagner BB. Radiomics of Pediatric Low-Grade Gliomas: Toward a Pretherapeutic Differentiation of BRAF-Mutated and BRAF-Fused Tumors. AJNR Am J Neuroradiol 2021; 42:759-765. [PMID: 33574103 DOI: 10.3174/ajnr.a6998] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 10/23/2020] [Indexed: 12/25/2022]
Abstract
BACKGROUND AND PURPOSE B-Raf proto-oncogene, serine/threonine kinase (BRAF) status has important implications for prognosis and therapy of pediatric low-grade gliomas. Currently, BRAF status classification relies on biopsy. Our aim was to train and validate a radiomics approach to predict BRAF fusion and BRAF V600E mutation. MATERIALS AND METHODS In this bi-institutional retrospective study, FLAIR MR imaging datasets of 115 pediatric patients with low-grade gliomas from 2 children's hospitals acquired between January 2009 and January 2016 were included and analyzed. Radiomics features were extracted from tumor segmentations, and the predictive model was tested using independent training and testing datasets, with all available tumor types. The model was selected on the basis of a grid search on the number of trees, opting for the best split for a random forest. We used the area under the receiver operating characteristic curve to evaluate model performance. RESULTS The training cohort consisted of 94 pediatric patients with low-grade gliomas (mean age, 9.4 years; 45 boys), and the external validation cohort comprised 21 pediatric patients with low-grade gliomas (mean age, 8.37 years; 12 boys). A 4-fold cross-validation scheme predicted BRAF status with an area under the curve of 0.75 (SD, 0.12) (95% confidence interval, 0.62-0.89) on the internal validation cohort. By means of the optimal hyperparameters determined by 4-fold cross-validation, the area under the curve for the external validation was 0.85. Age and tumor location were significant predictors of BRAF status (P values = .04 and <.001, respectively). Sex was not a significant predictor (P value = .96). CONCLUSIONS Radiomics-based prediction of BRAF status in pediatric low-grade gliomas appears feasible in this bi-institutional exploratory study.
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Affiliation(s)
- M W Wagner
- From the Departments of Diagnostic Imaging (M.W.W., N.H., F.K., K.N., M.S., S.L., M.M.S., B.B.E.-W.)
| | - N Hainc
- From the Departments of Diagnostic Imaging (M.W.W., N.H., F.K., K.N., M.S., S.L., M.M.S., B.B.E.-W.).,Department of Neuroradiology (N.H.), Zurich University Hospital, University of Zurich, Zurich, Switzerland
| | - F Khalvati
- From the Departments of Diagnostic Imaging (M.W.W., N.H., F.K., K.N., M.S., S.L., M.M.S., B.B.E.-W.)
| | - K Namdar
- From the Departments of Diagnostic Imaging (M.W.W., N.H., F.K., K.N., M.S., S.L., M.M.S., B.B.E.-W.)
| | - L Figueiredo
- Division of Neuroradiology, Neurooncology (L.F., E.B., U.T.)
| | - M Sheng
- From the Departments of Diagnostic Imaging (M.W.W., N.H., F.K., K.N., M.S., S.L., M.M.S., B.B.E.-W.)
| | - S Laughlin
- From the Departments of Diagnostic Imaging (M.W.W., N.H., F.K., K.N., M.S., S.L., M.M.S., B.B.E.-W.)
| | - M M Shroff
- From the Departments of Diagnostic Imaging (M.W.W., N.H., F.K., K.N., M.S., S.L., M.M.S., B.B.E.-W.)
| | - E Bouffet
- Division of Neuroradiology, Neurooncology (L.F., E.B., U.T.)
| | - U Tabori
- Division of Neuroradiology, Neurooncology (L.F., E.B., U.T.)
| | - C Hawkins
- Paediatric Laboratory Medicine (C.H.), Division of Pathology, The Hospital for Sick Children and Department of Medical Imaging, University of Toronto, Ontario, Canada
| | - K W Yeom
- Department of Radiology (K.W.Y.), Stanford University School of Medicine, Lucile Packard Children's Hospital, Palo Alto, California
| | - B B Ertl-Wagner
- From the Departments of Diagnostic Imaging (M.W.W., N.H., F.K., K.N., M.S., S.L., M.M.S., B.B.E.-W.)
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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: 0.8] [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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Mao J, Deng D, Yang Z, Wang W, Cao M, Huang Y, Shen J. Pretreatment structural and arterial spin labeling MRI is predictive for p53 mutation in high-grade gliomas. Br J Radiol 2020; 93:20200661. [PMID: 32877208 PMCID: PMC8519656 DOI: 10.1259/bjr.20200661] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 06/26/2020] [Accepted: 07/29/2020] [Indexed: 01/03/2023] Open
Abstract
OBJECTIVES To determine the performance of pretreatment structural and arterial spin labelling (ASL) MRI in predicting p53 mutation in patients with high-grade gliomas (HGGs). METHODS Pre-treatment structural and ASL MRI were performed in 57 patients with histologically confirmed HGGs and information of p53 status. Whole-lesion histogram analysis of cerebral blood flow (CBF) images of the enhancing tumour and the peritumoral oedema in the HGGs were performed. Visually AcceSAble Rembrandt Images features were used as qualitative analysis. The differences of ASL histogram parameters and Visually AcceSAble Rembrandt Images features between HGGs with or without p53 mutation were analyzed with post hoc correction for multiple comparisons. LASSO regression was performed to select the optimal features that could predict p53 mutation, followed by receiver operating characteristic analysis to determine the predictive efficacy. RESULTS A total of 33 HGGs with p53 mutation and 24 without p53 mutation were included. HGGs with mutant p53 showed lower CBFpercentile5 and CBFuniformity of the enhancing tumour (p < 0.05) and higher prevalence of the qualitative MRI feature of enhancing tumour crossing midline (ETCM) (p < 0.05) as compared with HGGs with wild-type p53. LASSO regression showed that the CBFuniformity of the enhancing tumour and ETCM were predictive features for p53 mutation. CBFuniformity showed an acceptable performance in predicting p53 mutation (area under the curve = 0.721), when combined with the feature of ETCM, its predictive efficacy was significantly improved (area under the curve = 0.814, p = 0.012). CONCLUSION An integrated pre-treatment structural and ASL MRI can help to predict p53 mutation in HGGs.
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Affiliation(s)
| | - Dabiao Deng
- Department of Medical Imaging, Guangdong 999 Brain Hospital, No. 578 Shatai Road South, Guangzhou, China
| | - Zehong Yang
- Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou, China
| | - Wensheng Wang
- Department of Medical Imaging, Guangdong 999 Brain Hospital, No. 578 Shatai Road South, Guangzhou, China
| | - Minghui Cao
- Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou, China
| | - Yun Huang
- Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, No. 74 Zhongshan II Road, Guangzhou, China
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Morana G, Tortora D, Bottoni G, Puntoni M, Piatelli G, Garibotto F, Barra S, Giannelli F, Cistaro A, Severino M, Verrico A, Milanaccio C, Massimino M, Garrè ML, Rossi A, Piccardo A. Correlation of multimodal 18F-DOPA PET and conventional MRI with treatment response and survival in children with diffuse intrinsic pontine gliomas. Am J Cancer Res 2020; 10:11881-11891. [PMID: 33204317 PMCID: PMC7667677 DOI: 10.7150/thno.50598] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Accepted: 10/03/2020] [Indexed: 01/29/2023] Open
Abstract
To evaluate the contribution of 18F-dihydroxyphenylalanine (DOPA) PET in association with conventional MRI in predicting treatment response and survival outcome of pediatric patients with diffuse intrinsic pontine gliomas (DIPGs). Methods: We retrospectively analyzed 19 children with newly diagnosed DIPGs who underwent 18F-DOPA PET/CT and conventional MRI within one week of each other at admission and subsequent MRI follow-up. Following co-registration and fusion of PET and MRI, 18F-DOPA uptake avidity and extent (PET tumor volume and uniformity) at admission, along with MRI indices including presence of ring contrast-enhancement, tumor volume at admission and at maximum response following first-line treatment, were evaluated and correlated with overall survival (OS). The association between 18F-DOPA uptake tumor volume at admission and MRI tumor volume following treatment was evaluated. Statistics included Wilcoxon signed-rank and Mann-Whitney U tests, Kaplan-Meier OS curve and Cox analysis. Results: DIPGs with a 18F-DOPA uptake Tumor/Striatum (T/S) ratio >1 presented an OS ≤ 12 months and lower degree of tumor volume reduction following treatment (p = 0.001). On multivariate analysis, T/S (p = 0.001), ring enhancement (p = 0.01) and the degree of MRI tumor volume reduction (p = 0.01) independently correlated with OS. In all patients, areas of increased 18F-DOPA uptake overlapped with regions demonstrating more prominent residual components/lack of response following treatment. Conclusions:18F-DOPA PET provides useful information for evaluating the metabolism of DIPGs. T/S ratio is an independent predictor of outcome. 18F-DOPA uptake extent delineates tumoral regions with a more aggressive biological behaviour, less sensitive to first line treatment.
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Abstract
Malignant gliomas constitute a smaller portion of brain tumors in children compared with adults. Nevertheless, they can be devastating tumors with poor prognosis. Recent advances and improved understanding of the genetic and molecular characterization of pediatric brain tumors, including those of malignant gliomas, have led to the reclassification of many pediatric brain tumors and new entities have been defined. In this paper, we will present some of the more recent characterization and pertinent changes in pediatric high-grade gliomas, along with the conventional and advanced imaging features associated with these entities. Implications of the recent changes in pediatric malignant glioma classifications will also be discussed.
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Luan J, Wu M, Wang X, Qiao L, Guo G, Zhang C. The diagnostic value of quantitative analysis of ASL, DSC-MRI and DKI in the grading of cerebral gliomas: a meta-analysis. Radiat Oncol 2020; 15:204. [PMID: 32831106 PMCID: PMC7444047 DOI: 10.1186/s13014-020-01643-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Accepted: 08/12/2020] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE To perform quantitative analysis on the efficacy of using relative cerebral blood flow (rCBF) in arterial spin labeling (ASL), relative cerebral blood volume (rCBV) in dynamic magnetic sensitivity contrast-enhanced magnetic resonance imaging (DSC-MRI), and mean kurtosis (MK) in diffusion kurtosis imaging (DKI) to grade cerebral gliomas. METHODS Literature regarding ASL, DSC-MRI, or DKI in cerebral gliomas grading in both English and Chinese were searched from PubMed, Embase, Web of Science, CBM, China National Knowledge Infrastructure (CNKI), and Wanfang Database as of 2019. A meta-analysis was performed to evaluate the efficacy of ASL, DSC-MRI, and DKI in the grading of cerebral gliomas. RESULT A total of 54 articles (11 in Chinese and 43 in English) were included. Three quantitative parameters in the grading of cerebral gliomas, rCBF in ASL, rCBV in DSC-MRI, and MK in DKI had the pooled sensitivity of 0.88 [95% CI (0.83,0.92)], 0.92 [95% CI (0.83,0.96)], 0.88 [95% CI (0.82,0.92)], and the pooled specificity of 0.91 [95% CI (0.84,0.94)], 0.81 [95% CI (0.73,0.88)], 0.86 [95% CI (0.78,0.91)] respectively. The pooled area under the curve (AUC) were 0.95 [95% CI (0.93,0.97)], 0.91 [95% CI (0.89,0.94)], 0.93 [95% CI (0.91,0.95)] respectively. CONCLUSION Quantitative parameters rCBF, rCBV and MK have high diagnostic accuracy for preoperative grading of cerebral gliomas.
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Affiliation(s)
- Jixin Luan
- Department of Radiology, Liaocheng People's Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, 67, Dongchang West Road, Liaocheng District, 252000, Shandong Province, China
| | - Mingzhen Wu
- Department of Radiology, Liaocheng People's Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, 67, Dongchang West Road, Liaocheng District, 252000, Shandong Province, China
| | - Xiaohui Wang
- Department of Science and Education, Liaocheng People's Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, 67, Dongchang West Road, Liaocheng District, 252000, Shandong Province, China
| | - Lishan Qiao
- School of Mathematics, Liaocheng University, Liaocheng District, 252000, Shandong Province, China
| | - Guifang Guo
- Department of Radiology, Liaocheng People's Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, 67, Dongchang West Road, Liaocheng District, 252000, Shandong Province, China
| | - Chuanchen Zhang
- Department of Radiology, Liaocheng People's Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, 67, Dongchang West Road, Liaocheng District, 252000, Shandong Province, China.
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Garibotto F, Madia F, Milanaccio C, Verrico A, Piccardo A, Tortora D, Piatelli G, Diana MC, Capra V, Garrè ML, Rossi A, Morana G. Pediatric Diffuse Midline Gliomas H3 K27M-Mutant and Non-Histone Mutant Midline High-Grade Gliomas in Neurofibromatosis Type 1 in Comparison With Non-Syndromic Children: A Single-Center Pilot Study. Front Oncol 2020; 10:795. [PMID: 32582540 PMCID: PMC7283930 DOI: 10.3389/fonc.2020.00795] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Accepted: 04/22/2020] [Indexed: 12/17/2022] Open
Abstract
Background: Pediatric neurofibromatosis type 1 (NF1) patients rarely develop aggressive central nervous system tumors. Among high-grade gliomas (HGGs), histone mutant diffuse midline gliomas (DMGs H3 K27M-mutant) have exceptionally been reported. The aim of this retrospectives single-center study was to compare the clinical behavior of DMGs H3 K27M-mutant and non-histone mutant midline HGGs in NF1 vs. non-syndromic children and to report imaging features of NF1 HGGs. Method: We conducted a retrospective review of cerebral DMGs H3 K27M-mutant or non-histone mutant HGGs in 18 patients with or without NF1 followed at our institution between 2010 and 2018. Differences in outcomes, notably progression-free survival (PFS) and overall survival (OS), were evaluated. Results: Two patients were identified with genetically confirmed diagnosis of NF1 and cerebral HGGs (one DMG H3 K27M-mutant and one histone wild type). Both subjects presented with midline mass lesions with imaging features of aggressive biological activity on advanced MRI or amino-acid PET. During the same time period, 16 non-NF1 patients (11 subjects with DMGs H3 K27M-mutant and 5 with non-histone mutant midline HGGs) were treated at our institution. The two patients with NF1 and HGGs presented a PFS of 3 months and an OS of 5 and 7 months. Median PFS and OS of children without NF1 were respectively 6 and 10 months in DMGs H3 K27M-mutant, and 6 and 11 months in H3 K27M wild-type tumors. Seventy-five percent of subjects with non-NF1 HGGs presented a PFS >4 months compared to 0% in NF1 patients. The 8-month OS of patients with non-NF1 HGGs was 81% compared to 0% in NF1 patients. Conclusions: Cerebral HGGs arising in midline structures rarely occur in pediatric patients with NF1 and present with extremely poor prognosis, worse than HGGs developing in non-NF1 patients, independent of the presence or absence of H3 K27M mutation. Imaging features of aggressive biological activity on advanced MRI or amino-acid PET imaging suggest prompt neuropathological and molecular investigations.
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Affiliation(s)
| | - Francesca Madia
- Laboratory of Neurogenetics and Neuroscience, IRCCS Istituto G. Gaslini, Genova, Italy
| | | | - Antonio Verrico
- Neuro-oncology Unit, IRCCS Istituto G. Gaslini, Genova, Italy
| | - Arnoldo Piccardo
- Nuclear Medicine Unit, Ente Ospedaliero Ospedali Galliera, Genova, Italy
| | | | | | - Maria Cristina Diana
- Pediatric Neurology and Muscular Diseases Unit, IRCCS Istituto G. Gaslini, Genova, Italy
| | - Valeria Capra
- Neurosurgery Unit, IRCCS Istituto G. Gaslini, Genova, Italy
| | | | - Andrea Rossi
- Neuroradiology Unit, IRCCS Istituto G. Gaslini, Genova, Italy
| | - Giovanni Morana
- Neuroradiology Unit, IRCCS Istituto G. Gaslini, Genova, Italy
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Cebeci H, Durmaz MS, Arslan S, Arslan A, Tekin AF, Habibi HA, Koylu R. Diagnostic utility of arterial spin labeling in identifying changes in brain perfusion in patients with carbon monoxide poisoning. Clin Imaging 2020; 64:92-96. [PMID: 32388003 DOI: 10.1016/j.clinimag.2020.04.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 03/19/2020] [Accepted: 04/07/2020] [Indexed: 10/24/2022]
Abstract
OBJECTIVE Carbon monoxide (CO) poisoning is one of the most common poisonings worldwide. The affinity of hemoglobin for CO is significantly higher than that for oxygen, and the formation of carboxy-hemoglobin leads to a decrease in the capacity of blood to transport oxygen to tissues, tissue hypoxia, and early perfusion changes in the affected tissue. This study aimed to investigate the utility of arterial spin labeling perfusion imaging (ASL-PI) in revealing cerebral vascular hemodynamic changes in patients presenting to the emergency room with CO poisoning and to compare findings with those from diffusion-weighted imaging (DWI). METHOD This study was conducted between November 2016 and May 2019 and was approved by the local ethics committee. DWI and ASL-PI examinations were performed in 83 patients who presented to the emergency room with CO poisoning. Four regions-the cerebral cortex, basal ganglia, cerebral white matter, and cerebellum-were evaluated for alterations in perfusion and diffusion, and findings from DWI and ASL-PI were compared. RESULTS The study group included 39 (50.6%) females and 38 (49.4%) males, with a mean (±SD) age of 40.08 ± 20.41 years (range, 7-86 years). DWI revealed restricted diffusion in 10 regions in 6 (7.8%) patients, including the basal ganglia (n = 2), cerebral white matter (n = 2), cerebral cortex (n = 3), and the cerebellum (n = 3). ASL-PI revealed hypo-perfusion in 64 regions in 36 (46.8%) patients, including the basal ganglia (n = 21), cerebral white matter (n = 12), cerebral cortex (n = 23), and cerebellum (n = 7). CONCLUSION ASL-PI provided additional information when used to identify perfusion changes in the brains of individuals who experienced CO poisoning and was superior to DWI as it revealed early changes in the brain. Considering its limitations, ASL-PI can be routinely used with DWI in cases of CO poisoning.
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Affiliation(s)
- Hakan Cebeci
- Department of Radiology, Selçuk University, Medical Faculty, Konya, Turkey.
| | | | - Serdar Arslan
- Departments of Radiology, Istanbul University, Cerrahpasa Medical Faculty, Istanbul, Turkey
| | - Abdullah Arslan
- Department of Underwater and Hyperbaric Medicine, University of Health Science, Konya Training and Research Hospital, Konya, Turkey
| | - Ali Fuat Tekin
- Department of Radiology, University of Health Sciences, Konya Training and Research Hospital, Konya, Turkey
| | - Hatice Arioz Habibi
- Departments of Radiology, Istanbul University, Cerrahpasa Medical Faculty, Istanbul, Turkey
| | - Ramazan Koylu
- Department of Emergency Medicine, University of Health Sciences, Konya Training and Research Hospital, Konya, Turkey
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Narayanan S, Schmithorst V, Panigrahy A. Arterial Spin Labeling in Pediatric Neuroimaging. Semin Pediatr Neurol 2020; 33:100799. [PMID: 32331614 DOI: 10.1016/j.spen.2020.100799] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Perfusion imaging using arterial spin labeling noninvasively evaluates cerebral blood flow utilizing arterial blood water as endogenous tracer. It does not require the need of radiotracer or intravenous contrast and offers unique complimentary information in the imaging of pediatric brain. Common clinical applications include neonatal hypoxic ischemic encephalopathy, pediatric stroke and vascular malformations, epilepsy and brain tumors. Future applications may include evaluation of silent ischemia in sickle cell patients, monitor changes in intracranial pressure in hydrocephalus, provide additional insights in nonaccidental trauma and chronic traumatic brain injury (TBI) and in functional Magnetic resonance imaging (MRI). The purpose of this review article is to evaluate the technical considerations including pitfalls, physiological variations, clinical applications and future directions of arterial spin labeling imaging.
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Affiliation(s)
- Srikala Narayanan
- Children's Hospital of Pittsburgh of UPMC, Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA.
| | - Vincent Schmithorst
- Children's Hospital of Pittsburgh of UPMC, Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Ashok Panigrahy
- John F. Caffey Endowed Chair in Pediatric Radiology, Children's Hospital of Pittsburgh of UPMC, Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA
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Role of diffusion weighted imaging for differentiating cerebral pilocytic astrocytoma and ganglioglioma BRAF V600E-mutant from wild type. Neuroradiology 2019; 62:71-80. [PMID: 31667545 DOI: 10.1007/s00234-019-02304-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Accepted: 10/03/2019] [Indexed: 12/22/2022]
Abstract
PURPOSE BRAF V600E mutation is a distinctive genomic alteration of pediatric low-grade gliomas with prognostic and therapeutic implications. The aim of this retrospective multicenter study was to analyze imaging features of BRAF V600E-mutant and wild-type cerebral pilocytic astrocytomas (PAs) and gangliogliomas (GGs), focusing on the role of diffusion weighted imaging (DWI). METHODS We retrospectively evaluated 56 pediatric patients with histologically proven, treatment-naïve PAs and GGs who underwent conventional MRI, DWI, and molecular analysis for BRAF V600E mutation. Twenty-three subjects presented BRAF V600E-mutant (12 PAs and 11 GGs) and 33 BRAF V600E wild-type (26 PAs and 7 GGs) tumors. Imaging studies were reviewed for dominant site, margin definition, hemorrhage, calcification, cystic components, contrast enhancement, and relative mean and minimum ADC values (rADCmean and rADCmin). Statistics included Fisher's exact test, Student t test, general linear model, and receiver operating characteristic (ROC) analysis. RESULTS PA and GG BRAF V600E-mutant had significantly lower rADCmean (p < 0.001) and rADCmin (p < 0.001) values than wild type, regardless of tumor histology and location. ROC analysis demonstrated similar performances between these parameters in predicting BRAF V600E status (rADCmean: AUC 0.831, p < 0.001; rADCmin: AUC 0.885, p < 0.001). No significant differences regarding additional imaging features emerged between BRAF V600E-mutant and wild-type lesions, with the exception of the number of tumors with cystic components, significantly higher in BRAF V600E-mutant PAs (p = 0.011) CONCLUSION: Assessment of the DWI characteristics of GGs and PAs may assist in predicting BRAF V600E status, suggesting a radiogenomic correlation and prompt molecular characterization of these tumors.
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Falk Delgado A, Van Westen D, Nilsson M, Knutsson L, Sundgren PC, Larsson EM, Falk Delgado A. Diagnostic value of alternative techniques to gadolinium-based contrast agents in MR neuroimaging-a comprehensive overview. Insights Imaging 2019; 10:84. [PMID: 31444580 PMCID: PMC6708018 DOI: 10.1186/s13244-019-0771-1] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Accepted: 07/12/2019] [Indexed: 12/16/2022] Open
Abstract
Gadolinium-based contrast agents (GBCAs) increase lesion detection and improve disease characterization for many cerebral pathologies investigated with MRI. These agents, introduced in the late 1980s, are in wide use today. However, some non-ionic linear GBCAs have been associated with the development of nephrogenic systemic fibrosis in patients with kidney failure. Gadolinium deposition has also been found in deep brain structures, although it is of unclear clinical relevance. Hence, new guidelines from the International Society for Magnetic Resonance in Medicine advocate cautious use of GBCA in clinical and research practice. Some linear GBCAs were restricted from use by the European Medicines Agency (EMA) in 2017. This review focuses on non-contrast-enhanced MRI techniques that can serve as alternatives for the use of GBCAs. Clinical studies on the diagnostic performance of non-contrast-enhanced as well as contrast-enhanced MRI methods, both well established and newly proposed, were included. Advantages and disadvantages together with the diagnostic performance of each method are detailed. Non-contrast-enhanced MRIs discussed in this review are arterial spin labeling (ASL), time of flight (TOF), phase contrast (PC), diffusion-weighted imaging (DWI), magnetic resonance spectroscopy (MRS), susceptibility weighted imaging (SWI), and amide proton transfer (APT) imaging. Ten common diseases were identified for which studies reported comparisons of non-contrast-enhanced and contrast-enhanced MRI. These specific diseases include primary brain tumors, metastases, abscess, multiple sclerosis, and vascular conditions such as aneurysm, arteriovenous malformation, arteriovenous fistula, intracranial carotid artery occlusive disease, hemorrhagic, and ischemic stroke. In general, non-contrast-enhanced techniques showed comparable diagnostic performance to contrast-enhanced MRI for specific diagnostic questions. However, some diagnoses still require contrast-enhanced imaging for a complete examination.
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Affiliation(s)
- Anna Falk Delgado
- Clinical neurosciences, Karolinska Institutet, Stockholm, Sweden. .,Department of Neuroradiology, Karolinska University Hospital, Eugeniavägen 3, Solna, Stockholm, Sweden.
| | - Danielle Van Westen
- Department of Clinical Sciences/Radiology, Faculty of Medicine, Lund University, Lund, Sweden
| | - Markus Nilsson
- Department of Clinical Sciences/Radiology, Faculty of Medicine, Lund University, Lund, Sweden
| | - Linda Knutsson
- Department of Medical Radiation Physics, Lund University, Lund, Sweden.,Russell H. Morgan Department of Radiology and Radiological Science, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Pia C Sundgren
- Department of Clinical Sciences/Radiology, Faculty of Medicine, Lund University, Lund, Sweden.,Department of Radiology, University of Michigan, Ann Arbor, MI, USA
| | - Elna-Marie Larsson
- Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden
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Mahzouni P, Taheri F. An Immunohistochemical Study of Cyclin D1 Expression in Astrocytic Tumors and its Correlation with Tumor Grade. IRANIAN JOURNAL OF PATHOLOGY 2019; 14:252-257. [PMID: 31583003 PMCID: PMC6742742 DOI: 10.30699/ijp.2019.82024.1771] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/24/2018] [Accepted: 05/10/2019] [Indexed: 11/09/2022]
Abstract
Background & Objective: Glioblastoma-multiforme is the high grade form of astrocytic tumors with a short survival time, which are the most common type of brain tumors. Therefore, finding new therapeutic options is essential. Cyclin D1 is expressed in some human malignancies and can be a potential target for therapeutic intervention. The aim of the present study was to determine this relationship. Methods: This is a cross-sectional study conducted in the pathology department of Al-Zahra Hospital in Isfahan, Iran. In this study, 100 samples diagnosed with astrocytic tumors between 2011 and 2015 that met the study’s requirements were studied and immunohistochemical staining for cyclin D1 was performed for each specimen. At the end, the relationship between the expression of cyclin D1 and various variables including tumor grades, tumor subtypes and patient demographic features were examined using appropriate statistical tests. Results: Of the 100 samples, cyclin D1 was positive in 60 samples and negative in 40 samples. Moreover, in 26 samples, the amount of the marker was low, while in 34 samples it was high. Following the results of the study, there was a significant difference (P =0.038) in the expression of the cyclin D1 marker among the four different grades of astrocytic tumors. Conclusion: The results showed that the expression of cyclin D1 was associated with different tumor grades, especially the high level of expression in grade 4, and the amount of cyclin D1 increased as the level of grade glioma increased.
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Affiliation(s)
- Parvin Mahzouni
- Department of Pathology, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Fatemeh Taheri
- Department of Pathology, Isfahan University of Medical Sciences, Isfahan, Iran
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Advanced MR imaging and 18F-DOPA PET characteristics of H3K27M-mutant and wild-type pediatric diffuse midline gliomas. Eur J Nucl Med Mol Imaging 2019; 46:1685-1694. [PMID: 31030232 DOI: 10.1007/s00259-019-04333-4] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2019] [Accepted: 04/10/2019] [Indexed: 12/12/2022]
Abstract
PURPOSE The aim of this study was to investigate MRI-derived diffusion weighted imaging (DWI), 1H-MR spectroscopy (1H-MRS) and arterial spin labeling (ASL) perfusion imaging in comparison with 18F-dihydroxyphenylalanine (DOPA) PET with respect to diagnostic evaluation of pediatric diffuse midline gliomas (DMG) H3K27M-mutant and wild-type. METHODS We retrospectively analyzed 22 pediatric patients with DMG histologically proved and molecularly classified as H3K27M-mutant (12 subjects) and wild-type (10 subjects) who underwent DWI, 1H-MRS, and ASL performed within 2 weeks of 18F-DOPA PET. DWI-derived relative minimum apparent diffusion coefficient (rADC min), 1H-MRS data [choline/N-acetylaspartate (Cho/NAA), choline/creatine (Cho/Cr), and presence of lactate] and relative ASL-derived cerebral blood flow max (rCBF max) were compared with 18F-DOPA uptake Tumor/Normal tissue (T/N) and Tumor/Striatum (T/S) ratios, and correlated with histological and molecular features of DMG. Statistics included Pearson's chi-square and Mann-Whitney U tests, Spearman's rank correlation and receiver operating characteristic (ROC) analysis. RESULTS The highest degrees of correlation among different techniques were found between T/S, rADC min and Cho/NAA ratio (p < 0.01), and between rCBF max and rADC min (p < 0.01). Significant differences between histologically classified low- and high-grade DMG, independently of H3K27M-mutation, were found among all imaging techniques (p ≤ 0.02). Significant differences in terms of rCBF max, rADC min, Cho/NAA and 18F-DOPA uptake were also found between molecularly classified mutant and wild-type DMG (p ≤ 0.02), even though wild-type DMG included low-grade astrocytomas, not present among mutant DMG. When comparing only histologically defined high-grade mutant and wild-type DMG, only the 18F-DOPA PET data T/S demonstrated statistically significant differences independently of histology (p < 0.003). ROC analysis demonstrated that T/S ratio was the best parameter for differentiating mutant from wild-type DMG (AUC 0.94, p < 0.001). CONCLUSIONS Advanced MRI and 18F-DOPA PET characteristics of DMG depend on histological features; however, 18F-DOPA PET-T/S was the only parameter able to discriminate H3K27M-mutant from wild-type DMG independently of histology.
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Dangouloff-Ros V, Tauziède-Espariat A, Roux CJ, Levy R, Grévent D, Brunelle F, Gareton A, Puget S, Beccaria K, Blauwblomme T, Grill J, Dufour C, Varlet P, Boddaert N. CT and Multimodal MR Imaging Features of Embryonal Tumors with Multilayered Rosettes in Children. AJNR. AMERICAN JOURNAL OF NEURORADIOLOGY 2019; 40:732-736. [PMID: 30846437 DOI: 10.3174/ajnr.a6001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Accepted: 01/28/2019] [Indexed: 12/28/2022]
Abstract
BACKGROUND AND PURPOSE Embryonal tumors with multilayered rosettes, C19MC-altered, are brain tumors occurring in young children, which were clearly defined in the 2016 World Health Organization classification of central nervous system neoplasms. Our objective was to describe the multimodal imaging characteristics of this new entity. MATERIALS AND METHODS We performed a retrospective monocentric review of embryonal brain tumors and looked for embryonal tumors with multilayered rosettes with confirmed C19MC alteration. We gathered morphologic imaging data, as well as DWI and PWI data (using arterial spin-labeling and DSC). RESULTS We included 16 patients with a median age of 2 years 8 months. Tumors were both supratentorial (56%, 9/16) and infratentorial (44%, 7/16). Tumors were large (median diameter, 59 mm; interquartile range, 48-71 mm), with absent (75%, 12/16) or minimal (25%, 4/16) peritumoral edema. Enhancement was absent (20%, 3/15) or weak (73%, 11/15), whereas intratumoral macrovessels were frequently seen (94%, 15/16) and calcifications were present in 67% (10/15). Diffusion was always restricted, with a minimal ADC of 520 mm2/s (interquartile range, 495-540 mm2/s). Cerebral blood flow using arterial spin-labeling was low, with a maximal CBF of 43 mL/min/100 g (interquartile range, 33-55 mL/min/100 g 5). When available (3 patients), relative cerebral blood volume using DSC was high (range, 3.5-5.8). CONCLUSIONS Embryonal tumors with multilayered rosettes, C19MC-altered, have characteristic imaging features that could help in the diagnosis of this rare tumor in young children.
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Affiliation(s)
- V Dangouloff-Ros
- From the Departments of Pediatric Radiology (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.) .,University René Descartes (V.D.-R., A.T.-E., C.-J.R., R.L., D.G., F.B., S.P., K.B., T.B. P.V., N.B.), Pôle de Recherche et d'Enseignement Supérieur Sorbonne Paris Cité, Paris, France.,French National Institute of Health and Medical Research U1000 (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.), Paris, France.,Institut Imagine 1163 (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.), Paris, France
| | - A Tauziède-Espariat
- University René Descartes (V.D.-R., A.T.-E., C.-J.R., R.L., D.G., F.B., S.P., K.B., T.B. P.V., N.B.), Pôle de Recherche et d'Enseignement Supérieur Sorbonne Paris Cité, Paris, France.,Department of Neuropathology (A.T.-E., A.G., P.V.), Centre Hospitalier Sainte Anne, Paris, France
| | - C-J Roux
- From the Departments of Pediatric Radiology (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.).,University René Descartes (V.D.-R., A.T.-E., C.-J.R., R.L., D.G., F.B., S.P., K.B., T.B. P.V., N.B.), Pôle de Recherche et d'Enseignement Supérieur Sorbonne Paris Cité, Paris, France.,French National Institute of Health and Medical Research U1000 (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.), Paris, France.,Institut Imagine 1163 (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.), Paris, France
| | - R Levy
- From the Departments of Pediatric Radiology (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.).,University René Descartes (V.D.-R., A.T.-E., C.-J.R., R.L., D.G., F.B., S.P., K.B., T.B. P.V., N.B.), Pôle de Recherche et d'Enseignement Supérieur Sorbonne Paris Cité, Paris, France.,French National Institute of Health and Medical Research U1000 (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.), Paris, France.,Institut Imagine 1163 (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.), Paris, France
| | - D Grévent
- From the Departments of Pediatric Radiology (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.).,University René Descartes (V.D.-R., A.T.-E., C.-J.R., R.L., D.G., F.B., S.P., K.B., T.B. P.V., N.B.), Pôle de Recherche et d'Enseignement Supérieur Sorbonne Paris Cité, Paris, France.,French National Institute of Health and Medical Research U1000 (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.), Paris, France.,Institut Imagine 1163 (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.), Paris, France
| | - F Brunelle
- From the Departments of Pediatric Radiology (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.).,University René Descartes (V.D.-R., A.T.-E., C.-J.R., R.L., D.G., F.B., S.P., K.B., T.B. P.V., N.B.), Pôle de Recherche et d'Enseignement Supérieur Sorbonne Paris Cité, Paris, France.,French National Institute of Health and Medical Research U1000 (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.), Paris, France.,Institut Imagine 1163 (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.), Paris, France
| | - A Gareton
- Department of Neuropathology (A.T.-E., A.G., P.V.), Centre Hospitalier Sainte Anne, Paris, France
| | - S Puget
- Pediatric Neurosurgery (S.P., K.B., T.B.), Hôpital Necker Enfants Malades, Paris, France.,University René Descartes (V.D.-R., A.T.-E., C.-J.R., R.L., D.G., F.B., S.P., K.B., T.B. P.V., N.B.), Pôle de Recherche et d'Enseignement Supérieur Sorbonne Paris Cité, Paris, France
| | - K Beccaria
- Pediatric Neurosurgery (S.P., K.B., T.B.), Hôpital Necker Enfants Malades, Paris, France.,University René Descartes (V.D.-R., A.T.-E., C.-J.R., R.L., D.G., F.B., S.P., K.B., T.B. P.V., N.B.), Pôle de Recherche et d'Enseignement Supérieur Sorbonne Paris Cité, Paris, France
| | - T Blauwblomme
- Pediatric Neurosurgery (S.P., K.B., T.B.), Hôpital Necker Enfants Malades, Paris, France.,University René Descartes (V.D.-R., A.T.-E., C.-J.R., R.L., D.G., F.B., S.P., K.B., T.B. P.V., N.B.), Pôle de Recherche et d'Enseignement Supérieur Sorbonne Paris Cité, Paris, France
| | - J Grill
- Department of Pediatric and Adolescent Oncology (J.G., C.D.), Gustave Roussy Institute, Villejuif, France
| | - C Dufour
- Department of Pediatric and Adolescent Oncology (J.G., C.D.), Gustave Roussy Institute, Villejuif, France
| | - P Varlet
- University René Descartes (V.D.-R., A.T.-E., C.-J.R., R.L., D.G., F.B., S.P., K.B., T.B. P.V., N.B.), Pôle de Recherche et d'Enseignement Supérieur Sorbonne Paris Cité, Paris, France.,Department of Neuropathology (A.T.-E., A.G., P.V.), Centre Hospitalier Sainte Anne, Paris, France
| | - N Boddaert
- From the Departments of Pediatric Radiology (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.).,University René Descartes (V.D.-R., A.T.-E., C.-J.R., R.L., D.G., F.B., S.P., K.B., T.B. P.V., N.B.), Pôle de Recherche et d'Enseignement Supérieur Sorbonne Paris Cité, Paris, France.,French National Institute of Health and Medical Research U1000 (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.), Paris, France.,Institut Imagine 1163 (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.), Paris, France
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Alsaedi A, Doniselli F, Jäger HR, Panovska-Griffiths J, Rojas-Garcia A, Golay X, Bisdas S. The value of arterial spin labelling in adults glioma grading: systematic review and meta-analysis. Oncotarget 2019; 10:1589-1601. [PMID: 30899427 PMCID: PMC6422184 DOI: 10.18632/oncotarget.26674] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Accepted: 02/01/2019] [Indexed: 12/20/2022] Open
Abstract
This study aimed to evaluate the diagnostic performance of arterial spin labelling (ASL) in grading of adult gliomas. Eighteen studies matched the inclusion criteria and were included after systematic searches through EMBASE and MEDLINE databases. The quality of the included studies was assessed utilizing Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2). The quantitative values were extracted and a meta-analysis was subsequently based on a random-effect model with forest plot and joint sensitivity and specificity modelling. Hierarchical summary receiver operating characteristic (HROC) curve analysis was also conducted. The absolute tumour blood flow (TBF) values can differentiate high-grade gliomas (HGGs) from low-grade gliomas (LGGs) and grade II from grade IV tumours. However, it lacked the capacity to differentiate grade II from grade III tumours and grade III from grade IV tumours. In contrast, the relative TBF (rTBF) is effective in differentiating HGG from LGG and in glioma grading. The maximum rTBF (rTBFmax) demonstrated the best results in glioma grading. These results were also reflected in the sensitivity/specificity analysis in which the rTBFmax showed the highest discrimination performance in glioma grading. The estimated effect size for the rTBF was approximately similar between HGGs and LGGs, and grade II and grade III tumours, (-1.46 (-2.00, -0.91), p-value < 0.001), (-1.39 (-1.89, -0.89), p-value < 0.001), respectively; while it exhibited smaller effect size between grade III and grade IV (-1.05 (-1.82, -0.27)), p < 0.05). Sensitivity and specificity analysis replicate these results as well. This meta-analysis suggests that ASL is useful for glioma grading, especially when considering the rTBFmax parameter.
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Affiliation(s)
- Amirah Alsaedi
- Department of Radiology Technology, Taibah University, Medina, KSA.,Department of Brain Repair & Rehabilitation, Queen Square Institute of Neurology, University College London, London, UK
| | - Fabio Doniselli
- Postgraduate School in Radiodiagnostics, Università degli Studi di Milano, Milan, Italy.,PhD Course in Clinical Research, Università degli Studi di Milano, Milan, Italy
| | - Hans Rolf Jäger
- Department of Brain Repair & Rehabilitation, Queen Square Institute of Neurology, University College London, London, UK.,Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, University College Hospitals NHS Trust, London, UK
| | | | | | - Xavier Golay
- Department of Brain Repair & Rehabilitation, Queen Square Institute of Neurology, University College London, London, UK
| | - Sotirios Bisdas
- Department of Brain Repair & Rehabilitation, Queen Square Institute of Neurology, University College London, London, UK.,Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, University College Hospitals NHS Trust, London, UK
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Hales PW, d'Arco F, Cooper J, Pfeuffer J, Hargrave D, Mankad K, Clark C. Arterial spin labelling and diffusion-weighted imaging in paediatric brain tumours. NEUROIMAGE-CLINICAL 2019; 22:101696. [PMID: 30735859 PMCID: PMC6365981 DOI: 10.1016/j.nicl.2019.101696] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Revised: 01/16/2019] [Accepted: 01/27/2019] [Indexed: 01/27/2023]
Abstract
BACKGROUND Diffusion- and perfusion-weighted MRI are valuable tools for measuring the cellular and vascular properties of brain tumours. This has been well studied in adult patients, however, the biological features of childhood brain tumours are unique, and paediatric-focused studies are less common. We aimed to assess the diagnostic utility of apparent diffusion coefficient (ADC) values derived from diffusion-weighted imaging (DWI) and cerebral blood flow (CBF) values derived from arterial spin labelling (ASL) in paediatric brain tumours. METHODS We performed a meta-analysis of published studies reporting ADC and ASL-derived CBF values in paediatric brain tumours. Data were combined using a random effects model in order to define typical parameter ranges for different histological tumour subtypes and WHO grades. New data were also acquired in a 'validation cohort' at our institution, in which ADC and CBF values in treatment naïve paediatric brain tumour patients were measured, in order to test the validity of the findings from the literature in an un-seen cohort. ADC and CBF quantification was performed by two radiologists via manual placement of tumour regions of interest (ROIs), in addition to an automated approach to tumour ROI placement. RESULTS A total of 14 studies met the inclusion criteria for the meta-analysis, constituting data acquired in 542 paediatric patients. Parameters of interest were based on measurements from ROIs placed within the tumour, including mean and minimum ADC values (ADCROI-mean, ADCROI-min) and the maximum CBF value normalised to grey matter (nCBFROI-max). After combination of the literature data, a number of histological tumour subtype groups showed significant differences in ADC values, which were confirmed, where possible, in our validation cohort of 32 patients. In both the meta-analysis and our cohort, diffuse midline glioma was found to be an outlier among high-grade tumour subtypes, with ADC and CBF values more similar to the low-grade tumours. After grouping patients by WHO grade, significant differences in grade groups were found in ADCROI-mean, ADCROI-min, and nCBFROI-max, in both the meta-analysis and our validation cohort. After excluding diffuse midline glioma, optimum thresholds (derived from ROC analysis) for separating low/high-grade tumours were 0.95 × 10-3 mm2/s (ADCROI-mean), 0.82 × 10-3 mm2/s (ADCROI-min) and 1.45 (nCBFROI-max). These thresholds were able to identify low/high-grade tumours with 96%, 83%, and 83% accuracy respectively in our validation cohort, and agreed well with the results from the meta-analysis. Diagnostic power was improved by combining ADC and CBF measurements from the same tumour, after which 100% of tumours in our cohort were correctly classified as either low- or high-grade (excluding diffuse midline glioma). CONCLUSION ADC and CBF values are useful for differentiating certain histological subtypes, and separating low- and high-grade paediatric brain tumours. The threshold values presented here are in agreement with previously published studies, as well as a new patient cohort. If ADC and CBF values acquired in the same tumour are combined, the diagnostic accuracy is optimised.
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Affiliation(s)
- Patrick W Hales
- Developmental Imaging & Biophysics Section, UCL Great Ormond Street Institute of Child Health, London WC1N 1EH, United Kingdom.
| | - Felice d'Arco
- Great Ormond Street Children's Hospital, Great Ormond St, London WC1N 3JH, United Kingdom
| | - Jessica Cooper
- Great Ormond Street Children's Hospital, Great Ormond St, London WC1N 3JH, United Kingdom
| | - Josef Pfeuffer
- Siemens Healthcare GmbH, MR Application Development, Erlangen, Germany
| | - Darren Hargrave
- Great Ormond Street Children's Hospital, Great Ormond St, London WC1N 3JH, United Kingdom
| | - Kshitij Mankad
- Great Ormond Street Children's Hospital, Great Ormond St, London WC1N 3JH, United Kingdom
| | - Chris Clark
- Developmental Imaging & Biophysics Section, UCL Great Ormond Street Institute of Child Health, London WC1N 1EH, United Kingdom
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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: 15] [Impact Index Per Article: 2.5] [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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