Orbital Lymphoproliferative Disorders (OLPDs): Value of MR Imaging for Differentiating Orbital Lymphoma from Benign OPLDs

After retrospectively analyzing MR images of 47 patients with proven orbital lymphoproliferative disease, the authors propose that ill-defined lesion margins suggest lymphoma whereas the presence of accompanying sinusitis and intralesional flow voids suggest benign lymphoproliferative disease. Lower ADC and contrast enhancement also suggest lymphoma. BACKGROUND AND PURPOSE: Accurate discrimination of orbital lymphoma from benign orbital lymphoproliferative disorders is crucial for treatment planning. We evaluated MR imaging including DWI and contrast-enhanced MR imaging for differentiating orbital lymphoma from benign orbital lymphoproliferative disorders. MATERIALS AND METHODS: Forty-seven histopathologically proved orbital lymphoproliferative disorders (29 orbital lymphomas and 18 benign orbital lymphoproliferative disorders) were evaluated. Two board-certified radiologists reviewed visual features on T1-weighted, fat-suppressed T2-weighted, diffusion-weighted, and contrast-enhanced MR images. For quantitative evaluation, ADC and contrast-enhancement ratio of all lesions were measured and optimal cutoff thresholds and areas under curves for differentiating orbital lymphoma from benign orbital lymphoproliferative disorders were determined using receiver operative characteristic analysis; corresponding sensitivities and specificities were calculated. RESULTS: Multivariate logistic regression analysis showed that ill-defined tumor margin (P = .003) had a significant association with orbital lymphoma whereas the “flow void sign” (P = .005) and radiologic evidence of sinusitis (P = .0002) were associated with benign orbital lymphoproliferative disorders. The mean ADC and contrast-enhancement ratio of orbital lymphomas were significantly lower than those of benign orbital lymphoproliferative disorders (P < .01). An ADC of less than 0.612 × 10−3 mm2/s and a contrast-enhancement ratio of less than 1.88 yielded areas under curves of 0.980 and 0.770, sensitivity of 94.1% and 95.5%, and specificities of 93.3% and 80.0% for predicting orbital lymphoma, respectively. CONCLUSIONS: Some characteristic MR imaging features and quantitative DWI and contrast-enhanced MR imaging are useful in further improving the accuracy of MR imaging for differentiation of orbital lymphoma from benign orbital lymphoproliferative disorders.

[1]  A. Razek,et al.  Differentiation between benign and malignant orbital tumors at 3-T diffusion MR-imaging , 2011, Neuroradiology.

[2]  M. Shiehmorteza,et al.  Indeterminate orbital masses: restricted diffusion at MR imaging with echo-planar diffusion-weighted imaging predicts malignancy. , 2010, Radiology.

[3]  James M Provenzale,et al.  Lymphomas and high-grade astrocytomas: comparison of water diffusibility and histologic characteristics. , 2002, Radiology.

[4]  F. Climent,et al.  Orbital lymphoma: imaging features and differential diagnosis , 2012, Insights into Imaging.

[5]  Peter R Luijten,et al.  ADC measurements of lymph nodes: inter- and intra-observer reproducibility study and an overview of the literature. , 2010, European journal of radiology.

[6]  M. Yasuo,et al.  IgG4-related chronic rhinosinusitis: A new clinical entity of nasal disease , 2010, Acta oto-laryngologica.

[7]  G. Espinoza Orbital Inflammatory Pseudotumors: Etiology, Differential Diagnosis, and Management , 2010, Current rheumatology reports.

[8]  J. Villablanca,et al.  Diffusion-Weighted Imaging of Malignant Ocular Masses: Initial Results and Directions for Further Study , 2012, American Journal of Neuroradiology.

[9]  N. Bhattacharyya,et al.  The Role of CT and MRI in the Diagnosis of Chronic Rhinosinusitis , 2010, Current allergy and asthma reports.

[10]  Young A Kim,et al.  Ocular adnexal IgG4‐related disease: comparative analysis with mucosa‐associated lymphoid tissue lymphoma and other chronic inflammatory conditions , 2012, Histopathology.

[11]  A. Razek,et al.  Diffusion-Weighted Imaging of Orbital Masses: Multi-Institutional Data Support a 2-ADC Threshold Model to Categorize Lesions as Benign, Malignant, or Indeterminate , 2014, American Journal of Neuroradiology.

[12]  John E. Wright,et al.  Histological features of ocular adnexal lymphoma (REAL classification) and their association with patient morbidity and survival , 2000, The British journal of ophthalmology.

[13]  M. Mafee,et al.  MR Imaging of Orbital Inflammatory Syndrome, Orbital Cellulitis, and Orbital Lymphoid Lesions: The Role of Diffusion-Weighted Imaging , 2008, American Journal of Neuroradiology.

[14]  A. Garner Orbital lymphoproliferative disorders. , 1992, The British journal of ophthalmology.

[15]  M. Plummer,et al.  International agency for research on cancer. , 2020, Archives of pathology.

[16]  L. Paavolainen,et al.  ADC measurements in diffuse large B-cell lymphoma and follicular lymphoma: a DWI and cellularity study. , 2013, European journal of radiology.

[17]  M. Kawano,et al.  Clinical Aspects of IgG4-Related Orbital Inflammation in a Case Series of Ocular Adnexal Lymphoproliferative Disorders , 2012, International journal of rheumatology.

[18]  K. Okami,et al.  Sonographic Appearance of the Submandibular Glands in Patients With Immunoglobulin G4‐Related Disease , 2012, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.

[19]  A. Flanders,et al.  Ocular Adnexal Lymphoma: Diffusion-weighted MR Imaging for Differential Diagnosis and Therapeutic Monitoring , 2011 .

[20]  Arzu Arslan,et al.  MRI patterns in orbital malignant lymphoma and atypical lymphocytic infiltrates. , 2005, European journal of radiology.

[21]  M. Shahin,et al.  MRI in Diagnosis of Orbital Masses , 2010, Current eye research.

[22]  K. Chang,et al.  Assessment of Lymph Node Metastases by Contrast-Enhanced MR Imaging in a Head and Neck Cancer Model , 2007, Korean journal of radiology.

[23]  G. Valvassori,et al.  Imaging of orbital lymphoproliferative disorders. , 1999, Radiologic clinics of North America.

[24]  Koji Yamashita,et al.  Diffusivity of intraorbital lymphoma vs. IgG4-related DISEASE: 3D turbo field echo with diffusion-sensitised driven-equilibrium preparation technique , 2014, European Radiology.