1
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Gill SK, Rose HEL, Wilson M, Rodriguez Gutierrez D, Worthington L, Davies NP, MacPherson L, Hargrave DR, Saunders DE, Clark CA, Payne GS, Leach MO, Howe FA, Auer DP, Jaspan T, Morgan PS, Grundy RG, Avula S, Pizer B, Arvanitis TN, Peet AC. Characterisation of paediatric brain tumours by their MRS metabolite profiles. NMR IN BIOMEDICINE 2024; 37:e5101. [PMID: 38303627 DOI: 10.1002/nbm.5101] [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: 12/21/2022] [Revised: 11/20/2023] [Accepted: 12/04/2023] [Indexed: 02/03/2024]
Abstract
1H-magnetic resonance spectroscopy (MRS) has the potential to improve the noninvasive diagnostic accuracy for paediatric brain tumours. However, studies analysing large, comprehensive, multicentre datasets are lacking, hindering translation to widespread clinical practice. Single-voxel MRS (point-resolved single-voxel spectroscopy sequence, 1.5 T: echo time [TE] 23-37 ms/135-144 ms, repetition time [TR] 1500 ms; 3 T: TE 37-41 ms/135-144 ms, TR 2000 ms) was performed from 2003 to 2012 during routine magnetic resonance imaging for a suspected brain tumour on 340 children from five hospitals with 464 spectra being available for analysis and 281 meeting quality control. Mean spectra were generated for 13 tumour types. Mann-Whitney U-tests and Kruskal-Wallis tests were used to compare mean metabolite concentrations. Receiver operator characteristic curves were used to determine the potential for individual metabolites to discriminate between specific tumour types. Principal component analysis followed by linear discriminant analysis was used to construct a classifier to discriminate the three main central nervous system tumour types in paediatrics. Mean concentrations of metabolites were shown to differ significantly between tumour types. Large variability existed across each tumour type, but individual metabolites were able to aid discrimination between some tumour types of importance. Complete metabolite profiles were found to be strongly characteristic of tumour type and, when combined with the machine learning methods, demonstrated a diagnostic accuracy of 93% for distinguishing between the three main tumour groups (medulloblastoma, pilocytic astrocytoma and ependymoma). The accuracy of this approach was similar even when data of marginal quality were included, greatly reducing the proportion of MRS excluded for poor quality. Children's brain tumours are strongly characterised by MRS metabolite profiles readily acquired during routine clinical practice, and this information can be used to support noninvasive diagnosis. This study provides both key evidence and an important resource for the future use of MRS in the diagnosis of children's brain tumours.
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Affiliation(s)
- Simrandip K Gill
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
- Birmingham Children's Hospital NHS Foundation Trust, Birmingham, UK
| | - Heather E L Rose
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
- Birmingham Children's Hospital NHS Foundation Trust, Birmingham, UK
| | - Martin Wilson
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
- Birmingham Children's Hospital NHS Foundation Trust, Birmingham, UK
| | | | - Lara Worthington
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
- Birmingham Children's Hospital NHS Foundation Trust, Birmingham, UK
- Department of Imaging and Medical Physics, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Nigel P Davies
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
- Birmingham Children's Hospital NHS Foundation Trust, Birmingham, UK
- Department of Imaging and Medical Physics, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | | | - Darren R Hargrave
- Paediatric Oncology Unit, Great Ormond Street Hospital For Sick Children, London, UK
| | - Dawn E Saunders
- Paediatric Oncology Unit, Great Ormond Street Hospital For Sick Children, London, UK
| | - Christopher A Clark
- Developmental Imaging and Biophysics Section, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Geoffrey S Payne
- CRUK Cancer Imaging Centre, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, UK
| | - Martin O Leach
- CRUK Cancer Imaging Centre, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, UK
| | - Franklyn A Howe
- Neurosciences Research Section, Molecular and Clinical Sciences Research Institute, St George's, University of London, London, UK
| | - Dorothee P Auer
- The Children's Brain Tumour Research Centre, University of Nottingham, Nottingham, UK
- Radiological Sciences, Department of Clinical Neuroscience, University of Nottingham, Nottingham, UK
- Neuroradiology, Nottingham University Hospital, Queen's Medical Centre, Nottingham, UK
| | - Tim Jaspan
- The Children's Brain Tumour Research Centre, University of Nottingham, Nottingham, UK
- Neuroradiology, Nottingham University Hospital, Queen's Medical Centre, Nottingham, UK
| | - Paul S Morgan
- Medical Physics, Nottingham University Hospital, Queen's Medical Centre, Nottingham, UK
- The Children's Brain Tumour Research Centre, University of Nottingham, Nottingham, UK
| | - Richard G Grundy
- The Children's Brain Tumour Research Centre, University of Nottingham, Nottingham, UK
| | - Shivaram Avula
- Department of Radiology, Alder Hey Children's NHS Foundation Trust, Liverpool, UK
| | - Barry Pizer
- Department of Paediatric Oncology, Alder Hey Children's NHS Foundation Trust, Liverpool, UK
| | - Theodoros N Arvanitis
- Birmingham Children's Hospital NHS Foundation Trust, Birmingham, UK
- Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham, UK
| | - Andrew C Peet
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
- Birmingham Children's Hospital NHS Foundation Trust, Birmingham, UK
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2
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Luo Y, Zhang S, Tan W, Lin G, Zhuang Y, Zeng H. The Diagnostic Efficiency of Quantitative Diffusion Weighted Imaging in Differentiating Medulloblastoma from Posterior Fossa Tumors: A Systematic Review and Meta-Analysis. Diagnostics (Basel) 2022; 12:diagnostics12112796. [PMID: 36428860 PMCID: PMC9689934 DOI: 10.3390/diagnostics12112796] [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: 09/07/2022] [Revised: 10/24/2022] [Accepted: 10/25/2022] [Indexed: 11/18/2022] Open
Abstract
Medulloblastoma (MB) is considered the most common and highly malignant posterior fossa tumor (PFT) in children. The accurate preoperative diagnosis of MB is beneficial in choosing the appropriate surgical methods and treatment strategies. Diffusion-weighted imaging (DWI) has improved the accuracy of differential diagnosis of posterior fossa tumors. Nonetheless, further studies are needed to confirm its value for clinical application. This study aimed to evaluate the performance of DWI in differentiating MB from other PFT. A literature search was conducted using databases PubMed, Embase, and Web of Science for studies reporting the diagnostic performance of DWI for PFT from January 2000 to January 2022. A bivariate random-effects model was employed to evaluate the pooled sensitivities and specificities. A univariable meta-regression analysis was used to assess relevant factors for heterogeneity, and subgroup analyses were performed. A total of 15 studies with 823 patients were eligible for data extraction. Overall pooled sensitivity and specificity of DWI were 0.94 (95% confident interval [CI]: 0.89-0.97) and 0.94 (95% CI: 0.90-0.96) respectively. The area under the curve (AUC) of DWI was 0.98 (95% CI: 0.96-0.99). Heterogeneity was found in the sensitivity (I2 = 62.59%) and the specificity (I2 = 35.94%). Magnetic field intensity, region of interest definition and DWI diagnostic parameters are the factors that affect the diagnostic performance of DWI. DWI has excellent diagnostic accuracy for differentiating MB from other PFT. Hence, it is necessary to set DWI as a routine examination sequence for posterior fossa tumors.
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Affiliation(s)
- Yi Luo
- Shantou University Medical College, 22 Xinling Road, Jinping District, Shantou 515041, China
- Department of Radiology, Shenzhen Children’s Hospital, 7019 Yitian Road, Futian District, Shenzhen 518038, China
| | - Siqi Zhang
- Shantou University Medical College, 22 Xinling Road, Jinping District, Shantou 515041, China
- Department of Radiology, Shenzhen Children’s Hospital, 7019 Yitian Road, Futian District, Shenzhen 518038, China
| | - Weiting Tan
- Shenzhen Children’s Hospital of China Medical University, 7019 Yitian Road, Futian District, Shenzhen 518038, China
| | - Guisen Lin
- Department of Radiology, Shenzhen Children’s Hospital, 7019 Yitian Road, Futian District, Shenzhen 518038, China
| | - Yijiang Zhuang
- Department of Radiology, Shenzhen Children’s Hospital, 7019 Yitian Road, Futian District, Shenzhen 518038, China
| | - Hongwu Zeng
- Department of Radiology, Shenzhen Children’s Hospital, 7019 Yitian Road, Futian District, Shenzhen 518038, China
- Correspondence:
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Watal P, Patel RP, Chandra T. Pearls and Pitfalls of Imaging in Pediatric Brain Tumors. Semin Ultrasound CT MR 2022; 43:31-46. [PMID: 35164908 DOI: 10.1053/j.sult.2021.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
The central nervous system (CNS) tumors constitute the most common type of solid tumors in the pediatric population. The cerebral and cerebellar parenchyma are the most common site of pediatric CNS neoplasms. Imaging plays an important role in detection, characterization, staging and prognostication of brain tumors. The focus of the current article is pediatric brain tumor imaging with emphasis on pearls and pitfalls of conventional and advanced imaging in various pediatric brain tumor subtypes. The article also elucidates changes in brain tumor terms and entities as applicable to pediatric patients, updated as per World Health Organization (WHO) 2016 classification of primary CNS tumors. This classification introduced the genetic and/or molecular information of primary CNS neoplasms as part of comprehensive tumor pathology report in the routine clinical workflow. The concepts from 2016 classification have been further refined based on current research, by the Consortium to Inform Molecular and Practical Approaches to CNS Tumor Taxonomy (cIMPACT-NOW) group and published in the form of updates. The updates serve as guidelines in the time interval between WHO updates and expect to be broadly adopted in the subsequent WHO classification. The current review covers most pediatric brain tumors except pituitary tumors, meningeal origin tumors, nerve sheath tumors and CNS lymphoma/leukemia.
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Affiliation(s)
- Pankaj Watal
- University of Central Florida College of Medicine and Nemours Children's Hospital, Orlando, FL.
| | - Rajan P Patel
- Section of Neuroradiology, Department of Diagnostic and Interventional Imaging The University of Texas Health Sciences Center at Houston, TX
| | - Tushar Chandra
- University of Central Florida College of Medicine and Nemours Children's Hospital, Orlando, FL
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4
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Shih RY, Koeller KK. Embryonal Tumors of the Central Nervous System: From the Radiologic Pathology Archives. Radiographics 2018. [PMID: 29528832 DOI: 10.1148/rg.2018170182] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Embryonal tumors of the central nervous system (CNS) are highly malignant undifferentiated or poorly differentiated tumors of neuroepithelial origin and have been defined as a category in the World Health Organization (WHO) classification since the first edition of the "Blue Book" in 1979. This category has evolved over time to reflect our ever-improving understanding of tumor biology and behavior. With the most recent update in 2016, many previous histologic diagnoses incorporate molecular parameters for the first time (genetically defined entities). While medulloblastoma and atypical teratoid/rhabdoid tumor are familiar carryovers from the 2007 CNS WHO classification, there are major changes to the embryonal tumor category: for example, elimination of the term CNS primitive neuroectodermal tumor and addition of a new genetically defined entity, embryonal tumor with multilayered rosettes, C19MC-altered. The purpose of this article is to discuss both the radiologic-pathologic features of CNS embryonal tumors and the new molecularly defined types/subtypes that will become the standard classification/terminology for future diagnoses and tumor research.
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Affiliation(s)
- Robert Y Shih
- From the Department of Neuroradiology, American Institute for Radiologic Pathology, Silver Spring, Md (R.Y.S., K.K.K.); Uniformed Services University of the Health Sciences, Bethesda, Md (R.Y.S.); Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (R.Y.S.); and Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905 (K.K.K.)
| | - Kelly K Koeller
- From the Department of Neuroradiology, American Institute for Radiologic Pathology, Silver Spring, Md (R.Y.S., K.K.K.); Uniformed Services University of the Health Sciences, Bethesda, Md (R.Y.S.); Department of Radiology, Walter Reed National Military Medical Center, Bethesda, Md (R.Y.S.); and Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905 (K.K.K.)
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Payabvash S, Tihan T, Cha S. Differentiation of Cerebellar Hemisphere Tumors: Combining Apparent Diffusion Coefficient Histogram Analysis and Structural MRI Features. J Neuroimaging 2018; 28:656-665. [DOI: 10.1111/jon.12550] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2018] [Revised: 07/07/2018] [Accepted: 07/10/2018] [Indexed: 11/29/2022] Open
Affiliation(s)
- Seyedmehdi Payabvash
- Department of Radiology and Biomedical Imaging; Yale School of Medicine; New Haven CT
- Department of Radiology and Biomedical Imaging; University of California; San Francisco CA
| | - Tarik Tihan
- Department of Pathology; University of California; San Francisco CA
| | - Soonmee Cha
- Department of Radiology and Biomedical Imaging; University of California; San Francisco CA
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Porz N, Knecht U, Sick B, Murina E, Barros N, Schucht P, Herrmann E, Gralla J, Wiest R, El-Koussy M, Slotboom J. Computer-aided radiological diagnostics improves the preoperative diagnoses of medulloblastoma, pilocytic astrocytoma, and ependymoma. CLINICAL AND TRANSLATIONAL NEUROSCIENCE 2018. [DOI: 10.1177/2514183x18786602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Affiliation(s)
- Nicole Porz
- University Hospital Bern and Inselspital, Bern, Switzerland
| | | | - Beate Sick
- University of Zurich, Zürich, Switzerland
| | - Elvis Murina
- Zurcher Hochschule fur Angewandte Wissenschaften Rosenstrasse, Winterthur, Switzerland
| | - Nuno Barros
- University Hospital Bern and Inselspital, Bern, Switzerland
| | | | | | - Jan Gralla
- University Hospital Bern and Inselspital, Bern, Switzerland
| | - Roland Wiest
- University Hospital Bern and Inselspital, Bern, Switzerland
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Katz JS, Peruzzi PP, Pierson CR, Finlay JL, Leonard JR. Cerebellopontine angle tumors in young children, displaying cranial nerve deficits, and restricted diffusion on diffusion-weighted imaging: a new clinical triad for atypical teratoid/rhabdoid tumors. Childs Nerv Syst 2017; 33:833-838. [PMID: 28332155 DOI: 10.1007/s00381-017-3384-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2016] [Accepted: 03/10/2017] [Indexed: 10/19/2022]
Abstract
Atypical teratoid/rhabdoid tumors (AT/RT) of the central nervous system (CNS) are rare, highly malignant neoplasms that carry a poor prognosis. Even with prompt diagnosis, gross total resection and early initiation of intensive adjuvant therapy, the majority of patients will succumb within 9-12 months of diagnosis. The CPA location in children harbors lesions along a wide spectrum varying from benign to highly malignant. Imaging features of lesions within the CPA that aid the diagnostic process will help to initiate early treatment in higher-grade lesions. We report three cases, in very young children, all with cranial nerve deficits, who displayed CPA lesions with restricted diffusion on diffusion-weighted imaging (DWI) with pathology confirming AT/RT. We propose that in young children with a CPA tumor diffusion-weighted imaging should be routinely evaluated to aid in prompt management. In addition, the diagnosis of AT/RT should be highly suggestive in infants presenting with cranial nerve findings as well as DWI restricted diffusion within the CPA.
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Affiliation(s)
- Joel S Katz
- Division of Pediatric Neurosurgery, Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH, 43205, USA.,Department of Neurosurgery, Grant Medical Center, Columbus, OH, USA
| | - Pier Paolo Peruzzi
- Division of Pediatric Neurosurgery, Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH, 43205, USA.,Department of Neurosurgery, Ohio State University, Columbus, OH, USA
| | - Christopher R Pierson
- Department of Pathology and Laboratory Medicine, Nationwide Children's Hospital, Columbus, OH, USA.,Department of Pathology and Division of Anatomy, The Ohio State University, Columbus, OH, USA
| | - Jonathan L Finlay
- Department of Neurosurgery, Ohio State University, Columbus, OH, USA.,Department of Hematology and Oncology, Nationwide Children's Hospital, Columbus, OH, USA
| | - Jeffrey R Leonard
- Division of Pediatric Neurosurgery, Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH, 43205, USA. .,Department of Neurosurgery, Ohio State University, Columbus, OH, USA.
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Chang PT, Yang E, Swenson DW, Lee EY. Pediatric Emergency Magnetic Resonance Imaging: Current Indications, Techniques, and Clinical Applications. Magn Reson Imaging Clin N Am 2016; 24:449-80. [PMID: 27150329 DOI: 10.1016/j.mric.2015.11.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
MR imaging plays an important role in the detection and characterization of several pediatric disease entities that can occur in the emergent setting because of its cross-sectional imaging capability, lack of ionizing radiation exposure, and superior soft tissue contrast. In the age of as low as reasonably achievable, these advantages have made MR imaging an increasingly preferred modality for diagnostic evaluations even in time-sensitive settings. In this article, the authors discuss the current indications, techniques, and clinical applications of MR imaging in the evaluation of pediatric emergencies.
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Affiliation(s)
- Patricia T Chang
- Department of Radiology, Boston Children's Hospital, Harvard Medical School, 300 Longwood Avenue, Boston, MA 02115, USA
| | - Edward Yang
- Department of Radiology, Boston Children's Hospital, Harvard Medical School, 300 Longwood Avenue, Boston, MA 02115, USA
| | - David W Swenson
- Department of Radiology, Boston Children's Hospital, Harvard Medical School, 300 Longwood Avenue, Boston, MA 02115, USA
| | - Edward Y Lee
- Division of Thoracic Imaging, Department of Radiology, Boston Children's Hospital, Harvard Medical School, 300 Longwood Avenue, Boston, MA 02115, USA.
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Choudhri AF, Whitehead MT, Siddiqui A, Klimo P, Boop FA. Diffusion characteristics of pediatric pineal tumors. Neuroradiol J 2015; 28:209-16. [PMID: 25963154 PMCID: PMC4757159 DOI: 10.1177/1971400915581741] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Diffusion weighted imaging (DWI) has been shown to be helpful in characterizing tumor cellularity, and predicting histology. Several works have evaluated this technique for pineal tumors; however studies to date have not focused on pediatric pineal tumors. OBJECTIVE We evaluated the diffusion characteristics of pediatric pineal tumors to confirm if patterns seen in studies using mixed pediatric and adult populations remain valid. MATERIALS AND METHODS This retrospective study was performed after Institutional Review Board approval. We retrospectively evaluated all patients 18 years of age and younger with pineal tumors from a single institution where preoperative diffusion weighted imaging as well as histologic characterization was available. RESULTS Twenty patients (13 male, 7 female) with pineal tumors were identified: seven with pineoblastoma, four with Primitive Neuroectodermal Tumor (PNET), two with other pineal tumors, and seven with germ cell tumors including two germinomas, three teratomas, and one mixed germinoma-teratoma. The mean apparent diffusion coefficient (ADC) values in pineoblastoma (544 ± 65 × 10⁻⁶ mm²/s) and pineoblastoma/PNET (595 ± 144 × 10⁻⁶ mm²/s) was lower than that of the germ cell tumors (1284 ± 334 × 10⁻⁶ mm²/s; p < 0.0001 vs pineoblastoma). One highly cellular germinoma had an ADC value of 694 × 10⁻⁶ mm²/s. CONCLUSION ADC values can aid in differentiation of pineoblastoma/PNET from germ cell tumors in a population of children with pineal masses.
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Affiliation(s)
- Asim F Choudhri
- Department of Radiology, University of Tennessee Health Science Center, USA Department of Neurosurgery, University of Tennessee Health Science Center, USA Department of Ophthalmology, University of Tennessee Health Science Center, USA Le Bonheur Neuroscience Institute, Le Bonheur Children's Hospital, USA
| | - Matthew T Whitehead
- Department of Radiology, University of Tennessee Health Science Center, USA Le Bonheur Neuroscience Institute, Le Bonheur Children's Hospital, USA Department of Radiology, Children's National Medical Center, USA
| | - Adeel Siddiqui
- Department of Radiology, University of Tennessee Health Science Center, USA Le Bonheur Neuroscience Institute, Le Bonheur Children's Hospital, USA
| | - Paul Klimo
- Department of Neurosurgery, University of Tennessee Health Science Center, USA Le Bonheur Neuroscience Institute, Le Bonheur Children's Hospital, USA Semmes-Murphey Neurologic and Spine Institute, USA Division of Neurosurgery, St Jude Children's Hospital, USA
| | - Frederick A Boop
- Department of Neurosurgery, University of Tennessee Health Science Center, USA Le Bonheur Neuroscience Institute, Le Bonheur Children's Hospital, USA Semmes-Murphey Neurologic and Spine Institute, USA Division of Neurosurgery, St Jude Children's Hospital, USA
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10
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Orman G, Bosemani T, Higgins L, Carson KA, Huisman TA, Poretti A. Pediatric Cerebellar Tumors: Does ADC Analysis of Solid, Contrast-Enhancing Tumor Components Correlate Better with Tumor Grade than ADC Analysis of the Entire Tumor? J Neuroimaging 2014; 25:785-91. [DOI: 10.1111/jon.12199] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2014] [Revised: 09/18/2014] [Accepted: 10/18/2014] [Indexed: 10/24/2022] Open
Affiliation(s)
- Gunes Orman
- Section of Pediatric Neuroradiology; Division of Pediatric Radiology; Russell H. Morgan Department of Radiology and Radiological Science; The Johns Hopkins University School of Medicine; Baltimore MD
| | - Thangamadhan Bosemani
- Section of Pediatric Neuroradiology; Division of Pediatric Radiology; Russell H. Morgan Department of Radiology and Radiological Science; The Johns Hopkins University School of Medicine; Baltimore MD
| | - Luke Higgins
- Section of Pediatric Neuroradiology; Division of Pediatric Radiology; Russell H. Morgan Department of Radiology and Radiological Science; The Johns Hopkins University School of Medicine; Baltimore MD
| | - Kathryn A. Carson
- Department of Epidemiology; The Johns Hopkins Bloomberg School of Public Health; Baltimore MD
- Division of General Internal Medicine; Department of Medicine; The Johns Hopkins University School of Medicine; Baltimore MD
| | - Thierry A.G.M. Huisman
- Section of Pediatric Neuroradiology; Division of Pediatric Radiology; Russell H. Morgan Department of Radiology and Radiological Science; The Johns Hopkins University School of Medicine; Baltimore MD
| | - Andrea Poretti
- Section of Pediatric Neuroradiology; Division of Pediatric Radiology; Russell H. Morgan Department of Radiology and Radiological Science; The Johns Hopkins University School of Medicine; Baltimore MD
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11
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Applicability of apparent diffusion coefficient ratios in preoperative diagnosis of common pediatric cerebellar tumors across two institutions. Neuroradiology 2014; 56:781-8. [DOI: 10.1007/s00234-014-1398-z] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2014] [Accepted: 06/19/2014] [Indexed: 11/26/2022]
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