Literature DB >> 9185195

Predictability of magnetic resonance imaging in differentiation of orbital lymphoma from orbital inflammatory syndrome.

A S Cytryn1, A M Putterman, G L Schneck, E Beckman, G E Valvassori.   

Abstract

Twenty-two patients with clinical presentations of either orbital lymphoma or orbital inflammatory syndrome (OIS) involving 25 orbits were examined by magnetic resonance imaging (MRI) before biopsy. To determine whether MRI adds specificity to radiographic diagnosis, the MRI signal characteristics of all tumors were examined. Attention was focused on the signal intensity of each tumor on T1- and T2-weighted images. In nine of 12 (75%) orbital lymphomas, the tumors appeared hyperintense to fat on T2-weighted images and became brighter relative to their appearance on T1-weighted images. In 11 of 13 (85%) orbital infiltrates with OIS, the tumors appeared isointense to fat on T2-weighted images and became slightly darker or unchanged relative to their appearance on T1-weighted images. Tumor density and homogeneity were fairly similar in all 25 lesions and were therefore not useful for further differentiation. Similarly, the presence of moderate enhancement with gadopentetate dimeglumine was seen in all but one tumor, and it was therefore not useful for further differentiation.

Entities:  

Mesh:

Year:  1997        PMID: 9185195     DOI: 10.1097/00002341-199706000-00007

Source DB:  PubMed          Journal:  Ophthalmic Plast Reconstr Surg        ISSN: 0740-9303            Impact factor:   1.746


  11 in total

1.  Idiopathic sclerotic inflammation of the orbit with left optic nerve compression in a patient with multifocal fibrosclerosis.

Authors:  G J Schaffler; J Simbrunner; H Lechner; G Langmann; H Stammberger; A Beham; F Ebner
Journal:  AJNR Am J Neuroradiol       Date:  2000-01       Impact factor: 3.825

2.  MR imaging of orbital inflammatory syndrome, orbital cellulitis, and orbital lymphoid lesions: the role of diffusion-weighted imaging.

Authors:  R Kapur; A R Sepahdari; M F Mafee; A M Putterman; V Aakalu; L J A Wendel; P Setabutr
Journal:  AJNR Am J Neuroradiol       Date:  2008-10-08       Impact factor: 3.825

3.  How accurate is the clinical and radiological evaluation of orbital lesions in comparison to surgical orbital biopsy?

Authors:  A Koukkoulli; J D Pilling; K Patatas; N El-Hindy; B Chang; G Kalantzis
Journal:  Eye (Lond)       Date:  2018-04-04       Impact factor: 3.775

4.  MR-based radiomics signature in differentiating ocular adnexal lymphoma from idiopathic orbital inflammation.

Authors:  Jian Guo; Zhenyu Liu; Chen Shen; Zheng Li; Fei Yan; Jie Tian; Junfang Xian
Journal:  Eur Radiol       Date:  2018-04-09       Impact factor: 5.315

5.  Characteristics of orbital lymphoma: a clinicopathological study of 26 cases.

Authors:  Daniel Briscoe; Christine Safieh; Yokrat Ton; Hava Shapiro; Ehud I Assia; Dvora Kidron
Journal:  Int Ophthalmol       Date:  2017-03-31       Impact factor: 2.031

6.  A deep learning model combining multimodal radiomics, clinical and imaging features for differentiating ocular adnexal lymphoma from idiopathic orbital inflammation.

Authors:  Xiaoyang Xie; Lijuan Yang; Fengjun Zhao; Dong Wang; Hui Zhang; Xuelei He; Xin Cao; Huangjian Yi; Xiaowei He; Yuqing Hou
Journal:  Eur Radiol       Date:  2022-06-08       Impact factor: 7.034

7.  Bilateral orbital tumour as the presentation of mammographically occult breast cancer.

Authors:  M Lell; R Schulz-Wendtland; A Hafner; A Magener; W A Bautz; B F Tomandl
Journal:  Neuroradiology       Date:  2004-07-08       Impact factor: 2.804

8.  Orbital masses: CT and MRI of common vascular lesions, benign tumors, and malignancies.

Authors:  Sarah N Khan; Ali R Sepahdari
Journal:  Saudi J Ophthalmol       Date:  2012-10

9.  Advances in magnetic resonance imaging of orbital disease.

Authors:  Rebecca E Tanenbaum; Remy Lobo; Alon Kahana; Sara T Wester
Journal:  Can J Ophthalmol       Date:  2021-05-28       Impact factor: 2.592

10.  Differentiation of orbital lymphoma and idiopathic orbital inflammatory pseudotumor: combined diagnostic value of conventional MRI and histogram analysis of ADC maps.

Authors:  Jiliang Ren; Ying Yuan; Yingwei Wu; Xiaofeng Tao
Journal:  BMC Med Imaging       Date:  2018-05-02       Impact factor: 1.930

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