Literature DB >> 23017191

Can preoperative MR imaging predict optic nerve invasion of retinoblastoma?

Kyoung Doo Song1, Hong Eo, Ji Hye Kim, So-Young Yoo, Tae Yeon Jeon.   

Abstract

PURPOSE: To evaluate the accuracy of pre-operative MRI for the detection of optic nerve invasion in retinoblastoma.
MATERIALS AND METHODS: Institutional review board approval and informed consent were waived for this retrospective study. A total of 41 patients were included. Inclusion criteria were histologically proven retinoblastoma, availability of diagnostic-quality preoperative MR images acquired during the 4 weeks before surgery, unilateral retinoblastoma, and normal-sized optic nerve. Two radiologists retrospectively reviewed the MR images independently. Five imaging findings (diffuse mild optic nerve enhancement, focal strong optic nerve enhancement, optic sheath enhancement, tumor location, and tumor size) were evaluated against optic nerve invasion of retinoblastoma. The predictive performance of all MR imaging findings for optic nerve invasion was also evaluated by the receiver operating characteristic curve analysis.
RESULTS: Optic nerve invasion was histopathologically confirmed in 24% of study population (10/41). The differences in diffuse mild enhancement, focal strong enhancement, optic sheath enhancement, and tumor location between patients with optic nerve invasion and patients without optic nerve invasion were not significant. Tumor sizes were 16.1mm (SD: 2.2mm) and 14.9 mm (SD: 3.6mm) in patients with and without optic nerve involvement, respectively (P=0.444). P-Values from binary logistic regression indicated that all five imaging findings were not significant predictors of tumor invasion of optic nerve. The AUC values of all MR imaging findings for the prediction of optic nerve invasion were 0.689 (95% confidence interval: 0.499-0.879) and 0.653 (95% confidence interval: 0.445-0.861) for observer 1 and observer 2, respectively.
CONCLUSION: Findings of MRI in patients with normal-sized optic nerves have limited usefulness in preoperatively predicting the presence of optic nerve invasion in retinoblastoma.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 23017191     DOI: 10.1016/j.ejrad.2012.03.034

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  10 in total

1.  High-resolution MRI using orbit surface coils for the evaluation of metastatic risk factors in 143 children with retinoblastoma: Part 1: MRI vs. histopathology.

Authors:  Selma Sirin; Marc Schlamann; Klaus A Metz; Norbert Bornfeld; Bernd Schweiger; Markus Holdt; Petra Temming; Michael M Schuendeln; Sophia L Goericke
Journal:  Neuroradiology       Date:  2015-06-04       Impact factor: 2.804

2.  Correlation between conventional MR imaging combined with diffusion-weighted imaging and histopathologic findings in eyes primarily enucleated for advanced retinoblastoma: a retrospective study.

Authors:  Yanfen Cui; Ran Luo; Ruifen Wang; Huanhuan Liu; Caiyuan Zhang; Zhongyang Zhang; Dengbin Wang
Journal:  Eur Radiol       Date:  2017-08-07       Impact factor: 5.315

3.  Assessment of early-stage optic nerve invasion in retinoblastoma using high-resolution 1.5 Tesla MRI with surface coils: a multicentre, prospective accuracy study with histopathological correlation.

Authors:  Hervé J Brisse; Pim de Graaf; Paolo Galluzzi; Kristel Cosker; Philippe Maeder; Sophia Göricke; Firazia Rodjan; Marcus C de Jong; Alexia Savignoni; Isabelle Aerts; Laurence Desjardins; Annette C Moll; Theodora Hadjistilianou; Paolo Toti; Paul van der Valk; Jonas A Castelijns; Xavier Sastre-Garau
Journal:  Eur Radiol       Date:  2014-11-30       Impact factor: 5.315

4.  High-resolution MRI using orbit surface coils for the evaluation of metastatic risk factors in 143 children with retinoblastoma: Part 2: new vs. old imaging concept.

Authors:  Selma Sirin; Marc Schlamann; Klaus A Metz; Norbert Bornfeld; Bernd Schweiger; Markus Holdt; Petra Temming; Michael M Schuendeln; Sophia L Goericke
Journal:  Neuroradiology       Date:  2015-05-08       Impact factor: 2.804

5.  Anterior chamber enhancement predicts optic nerve infiltration in retinoblastoma.

Authors:  Katerina Deike-Hofmann; Paula von Lampe; Maija Eerikaeinen; Saskia Ting; Sabrina Schlüter; Heinz-Peter Schlemmer; Nikolaos E Bechrakis; Michael Forsting; Alexander Radbruch
Journal:  Eur Radiol       Date:  2022-05-07       Impact factor: 5.315

6.  MRI-based radiomics model can improve the predictive performance of postlaminar optic nerve invasion in retinoblastoma.

Authors:  Zhenzhen Li; Jian Guo; Xiaolin Xu; Wenbin Wei; Junfang Xian
Journal:  Br J Radiol       Date:  2021-12-03       Impact factor: 3.039

7.  Diagnostic performance of MRI of post-laminar optic nerve invasion detection in retinoblastoma: A systematic review and meta-analysis.

Authors:  Se Jin Cho; Jae Hyoung Kim; Sung Hyun Baik; Leonard Sunwoo; Yun Jung Bae; Byung Se Choi
Journal:  Neuroradiology       Date:  2020-08-31       Impact factor: 2.804

8.  The value of MRI in evaluating the efficacy and complications with the treatment of intra-arterial chemotherapy for retinoblastoma.

Authors:  Shuxian Chen; Xunda Ji; Ming Liu; Zhengrong Xia; Hui Zheng; Qiufeng Yin; He Wang; Yuhua Li
Journal:  Oncotarget       Date:  2017-06-13

9.  Blood flow velocity in monocular retinoblastoma assessed by color Doppler.

Authors:  Maria Teresa B C Bonanomi; Osmar C Saito; Patricia Picciarelli de Lima; Roberta Chizzotti Bonanomi; Maria Cristina Chammas
Journal:  Clinics (Sao Paulo)       Date:  2015-12       Impact factor: 2.365

10.  Accuracy of preoperative imaging in predicting optic nerve invasion in retinoblastoma: A retrospective study.

Authors:  Usha Kim; Gunjan Rathi; Gunja Chowdhary; K G Srinavasan; R Shanthi; R S Prabhu Krishna
Journal:  Indian J Ophthalmol       Date:  2019-12       Impact factor: 1.848

  10 in total

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