Advances in magnetic resonance imaging of orbital disease

Tanenbaum, Rebecca; Lobo, Remy; Kahana, Alon; Wester, Sara T.

doi:10.1016/j.jcjo.2021.04.025

Cited by 8 publications

(4 citation statements)

References 57 publications

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“…In computed tomography (CT), they all showed high density with enhancement. These features are not specific to uveal melanoma and they have also been observed in other common intraocular tumors such as retinoblastoma and retinal or choroidal hemangioma [11,[22][23][24] . Therefore, the MRI and the CT scan alone cannot be used to identify two of them.…”

Section: Imaging Examinations Magnetic Resonance Imaging and Computed...mentioning

confidence: 96%

Posterior choroidal leiomyoma: new findings from a case and literature review

Pan

Chen

et al. 2023

Int J Ophthalmol

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Posterior choroidal leiomyoma is a sporadic, rare benign tumor that is always confused with anaplastic melanoma. Here we report a case and provide a review. Most of the preoperative findings in our case were suggestive of malignant choroidal melanoma. However, the contrast enhanced ultrasound (CEUS) suggested a benign hemangioma. In summary, the posterior choroidal leiomyomas were yellowish-white in color and most commonly located in the temporal quadrant of the fundus (11/15). They were more frequent in Asians (13/16), the prevalence was almost equal in males and females (9:7), with a mean age of 35y. Microscopically, the tumor typically showed spindle cell bundles and nonmitotic ovoid nuclei arranged in intersecting fascicles. Vitrectomy is now a popular treatment option and definitive diagnosis can be made after immunohistochemistry. Finally, some summarized features of this tumor differ from those previously described. These may help in the diagnosis of posterior choroidal leiomyoma and differentiation from malignant melanoma.

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Section: Imaging Examinations Magnetic Resonance Imaging and Computed...mentioning

confidence: 96%

Posterior choroidal leiomyoma: new findings from a case and literature review

Pan

Chen

et al. 2023

Int J Ophthalmol

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“…Orbital complications often spread from ethmoidal sinusitis and include pre-septal cellulitis, orbital cellulitis, subperiosteal or orbital abscess. 25 CT scan is superior for orbital walls such as lamina papyracea and other walls. However, CT scan has lesser sensitivity of intraorbital soft tissue.…”

Section: Complications Of Sinusitismentioning

confidence: 99%

Role of magnetic resonance imaging in sinonasal pathology: a review

Swain,

Barik,

Sarangi

2024

Int J Otorhinolaryngol Head Neck Surg

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The last several years have seen a considerable advancement in the treatment of sinonasal diseases. The advent of minimally invasive functional endoscopic sinus surgery has led to an increased understanding of the anatomy and function of the sinonasal region, making previously inaccessible areas safe to operate in. The advancement in imaging of the sinonasal tract has been associated with the evolution of endoscopic sinus surgery. The imaging of sinonasal pathology has progressed from conventional radiographs (plain films) to computed tomography (CT) and magnetic resonance imaging (MRI). Technological advancements in CT and MRI have given a precise differential diagnosis and greater detail about the anatomical extent of sinonasal pathologies. Because the high water content of the inflammatory state causes a markedly enhanced signal on T2-weighted scans, MRI can currently distinguish between retained secretions and inflammatory responses from the mass of the tumor. The invasive lesions affecting the soft tissues outside of the sinonasal region are more easily distinguished by MRI. MRI largely took the position of CT scan for malignant sinonasal lesions due to its superior capacity to distinguish between inflammation and tumor and its increased sensitivity for intracranial extension. MRI can be more useful than a CT scan in demonstrating the degree of soft tissue abnormalities and in identifying lesions that have returned after surgery.

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“…Magnetic resonance imaging (MRI) is an effective imaging modality for visualizing the ONs and detecting pathological changes due to its high soft-tissue contrast and the avoidance of ionizing radiation 10 . Advances in MRI techniques have enabled the acquisition of high-resolution 3D T2-weighted MR images that, unlike computed tomography (CT) and T1-weighted MRI, produce a distinct contrast between the ON and its surrounding CSF 11 . However, segmenting and quantifying the ONs is challenged by their complex morphology 12 .…”

Section: Introductionmentioning

confidence: 99%

“… 10 Advances in MRI techniques have enabled the acquisition of high-resolution 3D T2-weighted MR images that, unlike computed tomography (CT) and T1-weighted MRI, produce a distinct contrast between the ON and its surrounding CSF. 11 However, segmenting and quantifying the ONs is challenged by their complex morphology. 12 Manual annotation by an experienced radiologist is therefore time-consuming, labor-intensive, and prone to inter- and intrarater variability, emphasizing the need for automatic methods for accurate ON segmentation and quantification.…”

Section: Introductionmentioning

confidence: 99%

Automatic segmentation and quantification of the optic nerve on MRI using a 3D U-Net

van Elst,

de Bloeme,

Noteboom

et al. 2023

J. Med. Imag.

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Purpose: Pathological conditions associated with the optic nerve (ON) can cause structural changes in the nerve. Quantifying these changes could provide further understanding of disease mechanisms. We aim to develop a framework that automatically segments the ON separately from its surrounding cerebrospinal fluid (CSF) on magnetic resonance imaging (MRI) and quantifies the diameter and cross-sectional area along the entire length of the nerve.Approach: Multicenter data were obtained from retinoblastoma referral centers, providing a heterogeneous dataset of 40 high-resolution 3D T2-weighted MRI scans with manual ground truth delineations of both ONs. A 3D U-Net was used for ON segmentation, and performance was assessed in a tenfold cross-validation (n ¼ 32) and on a separate test-set (n ¼ 8) by measuring spatial, volumetric, and distance agreement with manual ground truths. Segmentations were used to quantify diameter and cross-sectional area along the length of the ON, using centerline extraction of tubular 3D surface models. Absolute agreement between automated and manual measurements was assessed by the intraclass correlation coefficient (ICC). Results:The segmentation network achieved high performance, with a mean Dice similarity coefficient score of 0.84, median Hausdorff distance of 0.64 mm, and ICC of 0.95 on the test-set. The quantification method obtained acceptable correspondence to manual reference measurements with mean ICC values of 0.76 for the diameter and 0.71 for the cross-sectional area. Compared with other methods, our method precisely identifies the ON from surrounding CSF and accurately estimates its diameter along the nerve's centerline. Conclusions:Our automated framework provides an objective method for ON assessment in vivo.

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Advances in magnetic resonance imaging of orbital disease

Cited by 8 publications

References 57 publications

Posterior choroidal leiomyoma: new findings from a case and literature review

Posterior choroidal leiomyoma: new findings from a case and literature review

Role of magnetic resonance imaging in sinonasal pathology: a review

Automatic segmentation and quantification of the optic nerve on MRI using a 3D U-Net

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