Literature DB >> 31617290

Diagnosis of Postlaminar Optic Nerve Invasion in Retinoblastoma With MRI Features.

Zhenzhen Li1,2, Jian Guo1,2, Xiaolin Xu2,3, Yongzhe Wang1,2, Suresh Kumar Mukherji4, Junfang Xian1,2.   

Abstract

BACKGROUND: Retinoblastomas (RBs) with postlaminar optic nerve invasion (PLONI) increases the risk of local recurrence or systemic metastasis. Most MRI studies on PLONI focused on optic nerve enhancement and tumor size, with reported relatively high specificity (84-98%) but low sensitivity (37-78%), which shows room for improvement, especially with regard to sensitivity.
PURPOSE: To evaluate the diagnostic performance for detecting PLONI with RB using MRI features. STUDY TYPE: Retrospective. POPULATION: Fifty patients with histopathologic PLONI and 70 patients without PLONI of RB. FIELD STRENGTH/SEQUENCE: 1.5T and 3.0T, precontrast axial T1 -weighted and T2 -weighted, postcontrast axial, coronal and oblique-sagittal T1 -weighted. ASSESSMENT: The eyes were histopathologically analyzed and the preoperative MRI features of the eyes were independently evaluated by three observers. STATISTICAL TESTS: MRI features suggesting the presence of PLONI were identified by univariate and multivariable analysis. Receiver operating characteristic curve (ROC) and the area under the curve (AUC) were used to analyze diagnostic performance.
RESULTS: Significant independent diagnostic factors for PLONI include: 1: Bilateral tumor (odds ratio [OR], 15.32; 95% confidence interval [CI]: 1.63-143.51); 2: Tumor with total coverage of the optic disk (OR, 6.43; 95% CI: 1.04-39.79); and 3: Optic nerve enhancement (OR, 8.43; 95% CI: 3.50-20.31). On the other hand, isointense signal of tumor on T2 WI (OR, 0.30; 95% CI: 0.12-0.75) was an independent diagnostic factor in excluding PLONI. ROC analysis showed AUC of 0.84 (95% CI: 0.77-0.91, P < 0.0001) for PLONI. Based on the cutoff of maximum Youden index, the sensitivity, specificity, and accuracy were 82%, 73%, and 77%, respectively. DATA
CONCLUSION: MRI features of RB showed a strong association with PLONI. The model of MRI features demonstrated promising diagnostic performance in detecting PLONI. LEVEL OF EVIDENCE: 4 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2020;51:1045-1052.
© 2019 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  logistic regression; magnetic resonance imaging; optic nerve; retinoblastoma

Mesh:

Year:  2019        PMID: 31617290     DOI: 10.1002/jmri.26961

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  7 in total

1.  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

2.  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

3.  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

Review 4.  Multi-Functionalized Nanomaterials and Nanoparticles for Diagnosis and Treatment of Retinoblastoma.

Authors:  Rabia Arshad; Mahmood Barani; Abbas Rahdar; Saman Sargazi; Magali Cucchiarini; Sadanand Pandey; Misook Kang
Journal:  Biosensors (Basel)       Date:  2021-03-26

5.  Development and Validation of a Plasma FAM19A5 and MRI-Based Radiomics Model for Prediction of Parkinson's Disease and Parkinson's Disease With Depression.

Authors:  Xue-Ning Li; Da-Peng Hao; Mei-Jie Qu; Meng Zhang; An-Bang Ma; Xu-Dong Pan; Ai-Jun Ma
Journal:  Front Neurosci       Date:  2021-12-17       Impact factor: 4.677

6.  LncRNA NEAT1 Acts as an miR-148b-3p Sponge to Regulate ROCK1 Inhibition of Retinoblastoma Growth.

Authors:  Hang Lu; Zhenjun Zhang; Yao Lu; Weiwei Xiu; Jinglin Cui
Journal:  Cancer Manag Res       Date:  2021-07-12       Impact factor: 3.989

7.  Histopathological assessment of optic nerve invasion guided by radiological findings in enucleated globes with retinoblastoma.

Authors:  Mohammed M Abusayf; Hind M Alkatan; Sahar Elkhamary; Saleh A Almesfer; Azza M Y Maktabi
Journal:  BMC Ophthalmol       Date:  2020-09-29       Impact factor: 2.209

  7 in total

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