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

European Radiology volume 28, pages 620–629 (2018)Cite this article

Abstract

Objectives

To determine the diagnostic accuracy of conventional MRI in detecting tumour invasion of advanced intraocular retinoblastoma and to correlate ADC values with high-risk prognostic parameters.

Method

The sensitivities, specificities, positive predictive values (PPV), negative predictive values (NPV) and accuracies of MRI in detecting tumour-extent parameters of 63 retinoblastomas were determined. Furthermore, ADC values were correlated with high-risk prognostic parameters.

Results

MRI detected postlaminar optic nerve with a sensitivity of 73.3% (95% CI 44.9–92.2%) and a specificity of 89.6% (77.3–96.5%), while the specificity for choroidal invasion was only 31.8% (13.9-54.9%). Likewise, MRI failed to predicted early optic nerve invasion in terms of low sensitivity and PPV. In contrast, scleral and ciliary body invasion could be correctly excluded with high NPV. ADC values were significantly lower in patients with undifferentiated tumours, large tumour size, as with optic nerve and scleral invasion (all p < 0.05). However, no correlation was found between ADC values and the degree of choroidal or ciliary body infiltration. Additionally, ADC values were negatively correlated with Ki-67 index (r = −0.62, P = 0.002).

Conclusions

Conventional MRI has some limitations in reliably predicting microscopic infiltration, with the diagnostic efficiency showing room for improvement, whereas ADC values correlated well with certain high-risk prognostic parameters for retinoblastoma.

Key points

• Conventional MRI failed to predicted microscopic infiltration of the retinoblastoma.

• Scleral and ciliary body invasion could be excluded with high NPV.

• ADC values correlated well with some high-risk pathological prognostic parameters.

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Abbreviations

ADC:

apparent diffusion coefficient

DWI:

diffusion-weighted imaging

MRI:

magnetic resonance imaging

NEX:

number of excitations

ROI:

region of interest

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Author information

Author notes

  1. Yanfen Cui

    Present address: Department of Radiology, Shanxi Province Cancer Hospital, Shanxi Medical University, Taiyuan, 030013, China

Affiliations

  1. Department of Radiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China

    Yanfen Cui, Ran Luo, Huanhuan Liu, Caiyuan Zhang, Zhongyang Zhang & Dengbin Wang

  2. Department of Pathology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China

    Ruifen Wang

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  1. Yanfen Cui
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  2. Ran Luo
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Correspondence to Dengbin Wang.

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Guarantor

The scientific guarantor of this publication is Dengbin Wang.

Conflict of interest

The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.

Funding

This work was supported by the fund of National Nature Science Foundation of China (NSFC No.81371621), the Programs of Shanghai Municipal Health Outstanding Discipline Leader (No. XBR 2013110) and Shanghai Shenkang Hospital Development Center (No. SHDC 22015022).

Statistics and biometry

No complex statistical methods were necessary for this paper.

Informed consent

Written informed consent was waived by the institutional review board.

Ethical approval

Institutional review board approval was obtained.

Methodology

• retrospective

• diagnostic or prognostic study

• performed at one institution

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Cui, Y., Luo, R., Wang, R. et al. Correlation between conventional MR imaging combined with diffusion-weighted imaging and histopathologic findings in eyes primarily enucleated for advanced retinoblastoma: a retrospective study. Eur Radiol 28, 620–629 (2018). https://doi.org/10.1007/s00330-017-4993-7

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  • DOI: https://doi.org/10.1007/s00330-017-4993-7

Keywords

  • Retinoblastoma
  • Magnetic resonance imaging
  • Diffusion-weighted imaging
  • Apparent diffusion coefficient
  • Prognostic factors