Literature DB >> 30848081

Diagnostic accuracy of neuroimaging in pediatric optic chiasm/sellar/suprasellar tumors.

Gregory A Norris1, Jacquelyn Garcia2, Todd C Hankinson3,4, Michael Handler3,4, Nicholas Foreman4,5, David Mirsky2, Nicholas Stence2, Kathleen Dorris4,5, Adam L Green4,5.   

Abstract

Preoperative diagnosis for tumors arising in the optic chiasm/sellar/suprasellar region in children is helpful to determine surgical necessity and approach, given the high operative risk in this area. We evaluated the ability to differentiate tumor type by preoperative neuroimaging. Thirty-eight of 53 tumors were correctly diagnosed by neuroimaging based on final pathologic diagnosis (prediction accuracy 72%). Prediction accuracies were 87% (20/23) for craniopharyngioma, 79% (11/14) for optic pathway glioma, 64% (7/11) for germ cell tumor, and 0% (0/5) for Langerhans cell histiocytosis. Diagnosis of optic chiasm/sellar/suprasellar tumors in children by imaging alone should be considered when biopsy is considered high risk.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  Langerhans cell histiocytosis; biopsy; brain tumor; craniopharyngioma; germ cell tumors; glioma; pediatric neuroimaging

Mesh:

Year:  2019        PMID: 30848081     DOI: 10.1002/pbc.27680

Source DB:  PubMed          Journal:  Pediatr Blood Cancer        ISSN: 1545-5009            Impact factor:   3.167


  3 in total

Review 1.  Radiomics and radiogenomics in pediatric neuro-oncology: A review.

Authors:  Rachel Madhogarhia; Debanjan Haldar; Sina Bagheri; Ariana Familiar; Hannah Anderson; Sherjeel Arif; Arastoo Vossough; Phillip Storm; Adam Resnick; Christos Davatzikos; Anahita Fathi Kazerooni; Ali Nabavizadeh
Journal:  Neurooncol Adv       Date:  2022-05-27

2.  Robust deep learning classification of adamantinomatous craniopharyngioma from limited preoperative radiographic images.

Authors:  Eric W Prince; Ros Whelan; David M Mirsky; Nicholas Stence; Susan Staulcup; Paul Klimo; Richard C E Anderson; Toba N Niazi; Gerald Grant; Mark Souweidane; James M Johnston; Eric M Jackson; David D Limbrick; Amy Smith; Annie Drapeau; Joshua J Chern; Lindsay Kilburn; Kevin Ginn; Robert Naftel; Roy Dudley; Elizabeth Tyler-Kabara; George Jallo; Michael H Handler; Kenneth Jones; Andrew M Donson; Nicholas K Foreman; Todd C Hankinson
Journal:  Sci Rep       Date:  2020-10-09       Impact factor: 4.379

3.  Differentiation between Germinoma and Craniopharyngioma Using Radiomics-Based Machine Learning.

Authors:  Boran Chen; Chaoyue Chen; Yang Zhang; Zhouyang Huang; Haoran Wang; Ruoyu Li; Jianguo Xu
Journal:  J Pers Med       Date:  2022-01-04
  3 in total

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