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01-02-2016 | Paediatric Neuroradiology

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

Authors: Julien Lambron, Josué Rakotonjanahary, Didier Loisel, Eric Frampas, Emilie De Carli, Matthieu Delion, Xavier Rialland, Frédérique Toulgoat

Published in: Neuroradiology | Issue 2/2016

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 cm³ (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.

Binning MJ, Liu JK, Kestle JR, Brockmeyer DL, Walker ML (2007) Optic pathway gliomas: a review. Neurosurg Focus 23(5):E2CrossRefPubMed

Dutton JJ (1994) Gliomas of the anterior visual pathway. Surv Ophtalmol 38(5):427–452CrossRef

Czyzyk E, Jóźwiak S, Roszkowski M, Schwartz RA (2003) Optic pathway gliomas in children with and without neurofibromatosis 1. J Child Neurol 18(7):471–478CrossRefPubMed

Cappelli C, Grill J, Raquin M, Pierre-Kahn A, Lellouch-Tubiana A, Terrier-Lacombe MJ, Habrand JL, Couanet D, Brauner R, Rodriguez D, Hartmann O, Kalifa C (1998) Long term follow up of 69 patients treated for optic pathway tumours before the chemotherapy era. Arch Dis Child 79(4):334–338CrossRefPubMedPubMedCentral

Sievert AJ, Fisher MJ (2009) Pediatric low-grade gliomas. J Child Neurol 24(11):1397–1408CrossRefPubMedPubMedCentral

Shaw EG, Wisoff JH (2003) Prospective clinical trials of intracranial low-grade glioma in adults and children. Neuro Oncol 5(3):153–160CrossRefPubMedPubMedCentral

Mishra MV, Andrews DW, Glass J, Evans JJ, Dicker AP, Shen X, Lawrence YR (2012) Characterization and outcomes of optic nerve gliomas: a population-based analysis. J Neurooncol 107:591–597CrossRefPubMed

Nicolin G, Parkin P, Mabbott D, Hargrave D, Bartels U, Tabori U, Rutka J, Buncic JR, Bouffet E (2009) Natural history and outcome of optic pathway gliomas in children. Pediatr Blood Cancer 53:1231–1237CrossRefPubMed

Stokland T, Liu JF, Ironside JW, Ellison DW, Taylor R, Robinson KJ, Picton SV, Walker DA (2010) A multivariate analysis of factors determining tumor progression in childhood low-grade glioma: a population-based cohort study (CCLG CNS9702). Neuro-Oncology 12(12):1257–1268PubMedPubMedCentral

10.

Chateil JF, Soussotte C, Pédespan JM, Brun M, Le Manh C, Diard F (2001) MRI and clinical differences between optic pathway tumours in children with and without neurofibromatosis. Br J Radiol 74(877):24–31CrossRefPubMed

11.

Shuper A, Horev G, Kornreich L, Michowiz S, Weitz R, Zaizov R, Cohen IJ (1997) Visual pathway glioma: an erratic tumour with therapeutic dilemmas. Arch Dis Child 76(3):259–263CrossRefPubMedPubMedCentral

12.

Henson JW, Ulmer S, Harris GJ (2008) Brain tumor imaging in clinical trials. AJNR Am J Neuroradiol 29(3):419–424CrossRefPubMed

13.

Dodge HW Jr, Love JG, Craig WM, Dockerty MB, Kearns TP, Holman CB, Hayles AB (1958) Gliomas of the optic nerves. AMA Arch Neurol Psychiatr 79(6):607–621CrossRef

14.

Taylor T, Jaspan T, Milano G, Gregson R, Parker T, Ritzmann T, Benson C, Walker D, PLAN Study Group (2008) Radiological classification of optic pathway gliomas: experience of a modified functional classification system. Br J Radiol 81(970):761–766CrossRefPubMed

15.

Wen PY, Macdonald DR, Reardon DA, Cloughesy TF, Sorensen AG, Galanis E, Degroot J, Wick W, Gilbert MR, Lassman AB, Tsien C, Mikkelsen T, Wong ET, Chamberlain MC, Stupp R, Lamborn KR, Vogelbaum MA, van den Bent MJ, Chang SM (2010) Updated response assessment criteria for high-grade gliomas: response assessment in neuro-oncology working group. J Clin Oncol 28(11):1963–1972CrossRefPubMed

16.

Weizman L, Ben Sira L, Joskowicz L, Constantini S, Precel R, Shofty B, Ben Bashat D (2012) Automatic segmentation, internal classification, and follow-up of optic pathway gliomas in MRI. Med Image Anal 16(1):177–188CrossRefPubMed

17.

Shofty B, Weizman L, Joskowicz L, Constantini S, Kesler A, Ben-Bashat D, Yalon M, Dvir R, Freedman S, Roth J, Ben-Sira L (2011) MRI internal segmentation of optic pathway gliomas: clinical implementation of a novel algorithm. Childs Nerv Syst 27(8):1265–1272CrossRefPubMed

18.

Sorensen AG, Patel S, Harmath C, Bridges S, Synnott J, Sievers A, Yoon YH, Lee EJ, Yang MC, Lewis RF, Harris GJ, Lev M, Schaefer PW, Buchbinder BR, Barest G, Yamada K, Ponzo J, Kwon HY, Gemmete J, Farkas J, Tievsky AL, Ziegler RB, Salhus MR, Weisskoff R (2001) Comparison of diameter and perimeter methods for tumor volume calculation. J Clin Oncol 19(2):551–557PubMed

19.

Rakotonjanahary J, De Carli E, Delion M, Kalifa C, Grill J, Doz F, Leblond P, Bertozzi AI, Rialland X, for the Brain Tumor Committee of SFCE (2015) Mortality in children with optic pathway glioma treated with up front BBSFOP chemotherapy. Analysis of a French pediatric historical cohort. PLoS One 10(6):e0127676CrossRefPubMedPubMedCentral

20.

Bland JM, Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 8476:307–310CrossRef

21.

British Standards Institution (1975) Precision of test methods 1: guide for the determination and reproducibility for a standard test method (BS 597, part 1). BSI, London

22.

Walter SD, Eliasziw M, Donner A (1998) Sample size and optimal designs for reliability studies. Stat Med 17:101–110CrossRefPubMed

23.

Sim J, Wright CC (2005) The kappa statistic in reliability studies: use, interpretation, and sample size requirements. Phys Ther 85:257–268PubMed

24.

Vos MJ, Uitdehaag BM, Barkhof F, Heimans JJ, Baayen HC, Boogerd W, Castelijns JA, Elkhuizen PH, Postma TJ (2003) Interobserver variability in the radiological assessment of response to chemotherapy in glioma. Neurology 60(5):826–830CrossRefPubMed

25.

Hsu TR, Wong TT, Chang FC, Ho DM, Tang RB, Thien PF, Chang KP (2008) Responsiveness of progressive optic pathway tumors to cisplatin-based chemotherapy in children. Childs Nerv Syst 24(12):1457–1461CrossRefPubMed

26.

Tao ML, Barnes PD, Billett AL, Leong T, Shrieve DC, Scott RM, Tarbell NJ (1997) Childhood optic chiasm gliomas: radiographic response following radiotherapy and long-term clinical outcome. Int J Radiat Oncol Biol Phys 39(3):579–587CrossRefPubMed

27.

Laithier V, Grill J, Le Deley MC, Ruchoux MM, Couanet D, Doz F, Pichon F, Rubie H, Frappaz D, Vannier JP, Babin-Boilletot A, Sariban E, Chastagner P, Zerah M, Raquin MA, Hartmann O, Kalifa C, French Society of Pediatric Oncology (2003) Progression-free survival in children with optic pathway tumors: dependence on age and the quality of the response to chemotherapy. Results of the first French prospective study for the French Society of Pediatric Oncology. J Clin Oncol 21(24):4572–4578CrossRefPubMed

28.

Liu J, Udupa JK, Odhner D, Hackney D, Moonis G (2005) A system for brain tumor volume estimation via MR imaging and fuzzy connectedness. Comput Med Imaging Graph 29(1):21–34CrossRefPubMed

29.

Prastawa M, Bullitt E, Moon N, Van Leemput K, Gerig G (2003) Automatic brain tumor segmentation by subject specific modification of atlas priors. Acad Radiol 10(12):1341–1348CrossRefPubMedPubMedCentral

30.

Mehta AI, Kanaly CW, Friedman AH, Bigner DD, Sampson JH (2011) Monitoring radiographic brain tumor progression. Toxins 3(3):191–200CrossRefPubMedPubMedCentral

31.

Clarke LP, Velthuizen RP, Clark M, Gaviria J, Hall L, Goldgof D, Murtagh R, Phuphanich S, Brem S (1998) MRI measurement of brain tumor response: comparison of visual metric and automatic segmentation. Magn Reson Imaging 16(3):271–279CrossRefPubMed

Title: Can we improve accuracy and reliability of MRI interpretation in children with optic pathway glioma? Proposal for a reproducible imaging classification
Authors: Julien Lambron
Josué Rakotonjanahary
Didier Loisel
Eric Frampas
Emilie De Carli
Matthieu Delion
Xavier Rialland
Frédérique Toulgoat
Publication date: 01-02-2016
Publisher: Springer Berlin Heidelberg
Published in: Neuroradiology / Issue 2/2016
Print ISSN: 0028-3940
Electronic ISSN: 1432-1920
DOI: https://doi.org/10.1007/s00234-015-1612-7

At a glance: The STEP trials

Springer Medicine

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

Abstract

Introduction

Methods

Results

Conclusion

At a glance: The STEP trials

Springer Medicine

Abstract

Introduction

Methods

Results

Conclusion

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