Literature DB >> 26518314

Can we improve accuracy and reliability of MRI interpretation in children with optic pathway glioma? Proposal for a reproducible imaging classification.

Julien Lambron1, Josué Rakotonjanahary2,3, Didier Loisel4, Eric Frampas5, Emilie De Carli2, Matthieu Delion6, Xavier Rialland2, Frédérique Toulgoat5.   

Abstract

INTRODUCTION: Magnetic resonance (MR) images from children with optic pathway glioma (OPG) are complex. We initiated this study to evaluate the accuracy of MR imaging (MRI) interpretation and to propose a simple and reproducible imaging classification for MRI.
METHODS: We randomly selected 140 MRIs from among 510 MRIs performed on 104 children diagnosed with OPG in France from 1990 to 2004. These images were reviewed independently by three radiologists (F.T., 15 years of experience in neuroradiology; D.L., 25 years of experience in pediatric radiology; and J.L., 3 years of experience in radiology) using a classification derived from the Dodge and modified Dodge classifications. Intra- and interobserver reliabilities were assessed using the Bland-Altman method and the kappa coefficient. These reviews allowed the definition of reliable criteria for MRI interpretation.
RESULTS: The reviews showed intraobserver variability and large discrepancies among the three radiologists (kappa coefficient varying from 0.11 to 1). These variabilities were too large for the interpretation to be considered reproducible over time or among observers. A consensual analysis, taking into account all observed variabilities, allowed the development of a definitive interpretation protocol. Using this revised protocol, we observed consistent intra- and interobserver results (kappa coefficient varying from 0.56 to 1). The mean interobserver difference for the solid portion of the tumor with contrast enhancement was 0.8 cm(3) (limits of agreement = -16 to 17).
CONCLUSION: We propose simple and precise rules for improving the accuracy and reliability of MRI interpretation for children with OPG. Further studies will be necessary to investigate the possible prognostic value of this approach.

Entities:  

Keywords:  Children; MRI; Optic pathway glioma

Mesh:

Year:  2015        PMID: 26518314     DOI: 10.1007/s00234-015-1612-7

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  30 in total

Review 1.  The kappa statistic in reliability studies: use, interpretation, and sample size requirements.

Authors:  Julius Sim; Chris C Wright
Journal:  Phys Ther       Date:  2005-03

2.  Automatic segmentation, internal classification, and follow-up of optic pathway gliomas in MRI.

Authors:  L Weizman; L Ben Sira; L Joskowicz; S Constantini; R Precel; B Shofty; D Ben Bashat
Journal:  Med Image Anal       Date:  2011-07-21       Impact factor: 8.545

3.  MRI internal segmentation of optic pathway gliomas: clinical implementation of a novel algorithm.

Authors:  Ben Shofty; Lior Weizman; Leo Joskowicz; Shlomi Constantini; Anat Kesler; Dafna Ben-Bashat; Michal Yalon; Rina Dvir; Sigal Freedman; Jonathan Roth; Liat Ben-Sira
Journal:  Childs Nerv Syst       Date:  2011-03-31       Impact factor: 1.475

4.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

5.  A multivariate analysis of factors determining tumor progression in childhood low-grade glioma: a population-based cohort study (CCLG CNS9702).

Authors:  Tore Stokland; Jo-Fen Liu; James W Ironside; David W Ellison; Roger Taylor; Kathryn J Robinson; Susan V Picton; David A Walker
Journal:  Neuro Oncol       Date:  2010-09-22       Impact factor: 12.300

6.  MRI and clinical differences between optic pathway tumours in children with and without neurofibromatosis.

Authors:  J F Chateil; C Soussotte; J M Pédespan; M Brun; C Le Manh; F Diard
Journal:  Br J Radiol       Date:  2001-01       Impact factor: 3.039

7.  Responsiveness of progressive optic pathway tumors to cisplatin-based chemotherapy in children.

Authors:  Ting-Rong Hsu; Tai-Tong Wong; Feng-Chi Chang; Donald M Ho; Ren-Bin Tang; Peck-Foong Thien; Kai-Ping Chang
Journal:  Childs Nerv Syst       Date:  2008-09-04       Impact factor: 1.475

Review 8.  Optic pathway gliomas: a review.

Authors:  Mandy J Binning; James K Liu; John R W Kestle; Douglas L Brockmeyer; Marion L Walker
Journal:  Neurosurg Focus       Date:  2007       Impact factor: 4.047

9.  Optic pathway gliomas in children with and without neurofibromatosis 1.

Authors:  Elzbieta Czyzyk; Sergiusz Jóźwiak; Marcin Roszkowski; Robert A Schwartz
Journal:  J Child Neurol       Date:  2003-07       Impact factor: 1.987

10.  Mortality in Children with Optic Pathway Glioma Treated with Up-Front BB-SFOP Chemotherapy.

Authors:  Josué Rakotonjanahary; Emilie De Carli; Matthieu Delion; Chantal Kalifa; Jacques Grill; François Doz; Pierre Leblond; Anne-Isabelle Bertozzi; Xavier Rialland
Journal:  PLoS One       Date:  2015-06-22       Impact factor: 3.240

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  3 in total

1.  Surveillance magnetic resonance imaging for isolated optic pathway gliomas: is gadolinium necessary?

Authors:  Ezekiel Maloney; A Luana Stanescu; Francisco A Perez; Ramesh S Iyer; Randolph K Otto; Sarah Leary; Lotte Steuten; Amanda I Phipps; Dennis W W Shaw
Journal:  Pediatr Radiol       Date:  2018-05-22

2.  Long-term visual acuity in patients with optic pathway glioma treated during childhood with up-front BB-SFOP chemotherapy-Analysis of a French pediatric historical cohort.

Authors:  Josué Rakotonjanahary; Nicolas Gravier; Julien Lambron; Emilie De Carli; Frédérique Toulgoat; Matthieu Delion; Isabelle Pellier; Xavier Rialland
Journal:  PLoS One       Date:  2019-03-08       Impact factor: 3.240

Review 3.  Pediatric Glioma at the Optic Pathway and Thalamus.

Authors:  Eun Suk Park; Jun Bum Park; Young-Shin Ra
Journal:  J Korean Neurosurg Soc       Date:  2018-05-01
  3 in total

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