Literature DB >> 31541639

Posterior fossa tumors in children: Radiological tips & tricks in the age of genomic tumor classification and advance MR technology.

Basile Kerleroux1, Jean Philippe Cottier2, Kévin Janot2, Antoine Listrat3, Dominique Sirinelli4, Baptiste Morel4.   

Abstract

Imaging plays a major role in the comprehensive assessment of posterior fossa tumor in children (PFTC). The objective is to propose a global method relying on the combined analysis of radiological, clinical and epidemiological criteria, (taking into account the child's age and the topography of the lesion) in order to improve our histological approach in imaging, helping the management and approach for surgeons in providing information to the patients' parents. Infratentorial tumors are the most frequent in children, representing mainly medulloblastoma, pilocytic astrocytoma and brainstem glioma. Pre-surgical identification of the tumor type and its aggressiveness could be improved by the combined analysis of key imaging features with epidemiologic data.
Copyright © 2019 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Brain; Magnetic resonance imaging; Pediatric; Posterior fossa; Tumor

Year:  2019        PMID: 31541639     DOI: 10.1016/j.neurad.2019.08.002

Source DB:  PubMed          Journal:  J Neuroradiol        ISSN: 0150-9861            Impact factor:   3.447


  5 in total

1.  Automatic Machine Learning to Differentiate Pediatric Posterior Fossa Tumors on Routine MR Imaging.

Authors:  H Zhou; R Hu; O Tang; C Hu; L Tang; K Chang; Q Shen; J Wu; B Zou; B Xiao; J Boxerman; W Chen; R Y Huang; L Yang; H X Bai; C Zhu
Journal:  AJNR Am J Neuroradiol       Date:  2020-07       Impact factor: 3.825

2.  Application of Apparent Diffusion Coefficient Histogram Metrics for Differentiation of Pediatric Posterior Fossa Tumors : A Large Retrospective Study and Brief Review of Literature.

Authors:  Fabrício Guimarães Gonçalves; Alireza Zandifar; Jorge Du Ub Kim; Luis Octavio Tierradentro-García; Adarsh Ghosh; Dmitry Khrichenko; Savvas Andronikou; Arastoo Vossough
Journal:  Clin Neuroradiol       Date:  2022-06-08       Impact factor: 3.649

3.  Machine Assist for Pediatric Posterior Fossa Tumor Diagnosis: A Multinational Study.

Authors:  Michael Zhang; Samuel W Wong; Jason N Wright; Sebastian Toescu; Maryam Mohammadzadeh; Michelle Han; Seth Lummus; Matthias W Wagner; Derek Yecies; Hollie Lai; Azam Eghbal; Alireza Radmanesh; Jordan Nemelka; Stephen Harward; Michael Malinzak; Suzanne Laughlin; Sebastien Perreault; Kristina R M Braun; Arastoo Vossough; Tina Poussaint; Robert Goetti; Birgit Ertl-Wagner; Chang Y Ho; Ozgur Oztekin; Vijay Ramaswamy; Kshitij Mankad; Nicholas A Vitanza; Samuel H Cheshier; Mourad Said; Kristian Aquilina; Eric Thompson; Alok Jaju; Gerald A Grant; Robert M Lober; Kristen W Yeom
Journal:  Neurosurgery       Date:  2021-10-13       Impact factor: 5.315

4.  Radiomic signatures of posterior fossa ependymoma: Molecular subgroups and risk profiles.

Authors:  Michael Zhang; Edward Wang; Derek Yecies; Lydia T Tam; Michelle Han; Sebastian Toescu; Jason N Wright; Emre Altinmakas; Eric Chen; Alireza Radmanesh; Jordan Nemelka; Ozgur Oztekin; Matthias W Wagner; Robert M Lober; Birgit Ertl-Wagner; Chang Y Ho; Kshitij Mankad; Nicholas A Vitanza; Samuel H Cheshier; Tom S Jacques; Paul G Fisher; Kristian Aquilina; Mourad Said; Alok Jaju; Stefan Pfister; Michael D Taylor; Gerald A Grant; Sarah Mattonen; Vijay Ramaswamy; Kristen W Yeom
Journal:  Neuro Oncol       Date:  2022-06-01       Impact factor: 13.029

5.  Radiomic Phenotypes Distinguish Atypical Teratoid/Rhabdoid Tumors from Medulloblastoma.

Authors:  M Zhang; S W Wong; S Lummus; M Han; A Radmanesh; S S Ahmadian; L M Prolo; H Lai; A Eghbal; O Oztekin; S H Cheshier; P G Fisher; C Y Ho; H Vogel; N A Vitanza; R M Lober; G A Grant; A Jaju; K W Yeom
Journal:  AJNR Am J Neuroradiol       Date:  2021-07-15       Impact factor: 4.966

  5 in total

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