Choroidal nevus with retinal invasion, clinical and imaging features

Purpose: Choroidal nevus can cause overlying chronic retinal pigment epithelium (RPE) degenerative features, but frank retinal invasion is exquisitely rare. Procedures: This is a retrospective review of 8 cases of choroidal nevus with retinal invasion with evaluation of clinical and imaging features. Results: At the time of diagnosis of choroidal nevus with retinal invasion, mean patient age was 65 years. Mean tumor basal diameter was 7 mm, and mean thickness was 2.3 mm. Retinal invasion was ophthalmoscopically visible in all eyes. Related features included drusen (n = 4/8) and RPE fibrous metaplasia (n = 2/8). Overlying lipofuscin, subretinal fluid, RPE detachment, and retinal edema were absent. On B-scan ultrasonography, the lesion was dome-shaped (n = 7/7) and echo-dense (n = 6/7). Optical coherence tomography demonstrated outer retinal invasion (n = 8/8) with additional inner retinal invasion (n = 3/8). The tissue was hypoautofluorescent at the site of invasion (n = 6/7). Over a mean follow-up of 40 months, tumor enlargement was detected in 2 eyes and managed with observation (< 1 mm enlargement) or plaque radiotherapy (5 mm enlargement). Nevus hypoautofluorescence was correlated with nevus stability (p = 0.035). Conclusion: Retinal invasion of the choroidal nevus is rare. In this series of 8 cases, only 1 demonstrated transformation to melanoma over a mean interval of 40 months. Long-term monitoring of such lesions is warranted.

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Is optical coherence tomography angiography helpful in the differential diagnosis of choroidal nevus versus melanoma?

European Journal of Ophthalmology ◽

10.1177/1120672119851768 ◽

2019 ◽

Vol 30 (4) ◽

pp. 723-729 ◽

Cited By ~ 7

Author(s):

Claudia Garcia-Arumi Fuste ◽

Federico Peralta Iturburu ◽

Jose Garcia-Arumi

Keyword(s):

Optical Coherence Tomography ◽

Differential Diagnosis ◽

Optical Coherence Tomography Angiography ◽

Choroidal Melanoma ◽

Fundus Photography ◽

Imaging Features ◽

Optical Coherence ◽

Vascular Networks ◽

Choroidal Nevus ◽

Choroidal Nevi

Purpose: To describe the imaging features of choroidal nevus and melanoma using optical coherence tomography angiography, and evaluate the ability of this technique to establish the differential diagnosis based on the display of the tumor’s intrinsic vasculature. Methods: Comparative analysis of optical coherence tomography angiography findings in consecutive patients diagnosed with choroidal nevus or choroidal melanoma following a complete ophthalmic evaluation, including best-corrected visual acuity and several imaging studies: color fundus photography, B-scan ultrasound, spectral-domain optical coherence tomography, and optical coherence tomography angiography. Optical coherence tomography angiography was used to investigate qualitative differences in the tumor vasculature. Results: Thirty-six eyes (18 cases of choroidal nevus and 18 cases of choroidal melanoma) from 36 consecutive patients were included in the study. Only cases located posterior to equator were included to enable performance of all tests. On optical coherence tomography angiography, choroidal nevus showed well-delimited margins (78%), hyperreflective choroid capillary vasculature (83%), fewer avascular areas (17%), and neovascular membrane in one case (6%). Choroidal melanoma showed imprecise margins (72%), hyporeflective choroidal capillary vasculature (72%), multiple avascular areas (78%), and choroidal vascular changes (e.g. thick vascular networks or vascular loops; 45%). Conclusion: Optical coherence tomography angiography can provide useful information for assessing and differentiating between choroidal nevi and small melanomas. Significant differences between these conditions were found for the pattern of reflectivity, and presence/absence of avascular zones and vascular anomalies, which could be helpful for supporting the diagnosis.

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Combination of multimodal imaging features predictive of choroidal nevus transformation into melanoma

British Journal of Ophthalmology ◽

10.1136/bjophthalmol-2018-312967 ◽

2018 ◽

Vol 103 (10) ◽

pp. 1441-1447 ◽

Cited By ~ 6

Author(s):

Lauren A Dalvin ◽

Carol L Shields ◽

David Arturo Ancona-Lezama ◽

Michael D Yu ◽

Maura Di Nicola ◽

...

Keyword(s):

Risk Factors ◽

Visual Acuity ◽

Multimodal Imaging ◽

Imaging Features ◽

Orange Pigment ◽

Kaplan Meier ◽

Five Factors ◽

Two Factors ◽

Choroidal Nevus ◽

Visual Acuity Loss

AimTo characterise combinations of multimodal imaging risk factors and predictive value for choroidal nevus transformation into melanoma.MethodsThis is a retrospective review of multimodal imaging features for 3806 choroidal nevi from 1 January 2007 through 1 January 2017. Kaplan-Meier estimates and Cox regression analyses were used to calculate 5-year percentages of growth to melanoma and HR.ResultsUsing multimodal imaging, six risk factors predictive of choroidal nevus transformation into melanoma were identified, namely tumour thickness >2 mm, subretinal fluid, symptoms of visual acuity loss to 20/50 or worse, orange pigment, hollow acoustic density and tumour largest basal diameter >5 mm. Kaplan-Meier 5-year estimated tumour growth was found in 1% of nevi with no risk factors, 11% (range 9%–37%) with one factor, 22% (12%–68%) with two factors, 34% (21%–100%) with three factors, 51% (0%–100%) with four factors and 55% (0%–100%) with five factors. HR for growth was 0.1 with no factor, 2.1–7.8 with one factor, 1.8–12.1 with two factors, 4.0–24.4 with three factors, 4.6–170.0 with four factors and 12.0–595.0 with five factors. The highest HR with each combination of two, three, four or five risk factors always included symptoms of visual acuity loss and orange pigment.ConclusionSix risk factors for choroidal nevus transformation into melanoma by multimodal imaging have been identified. Risk for transformation into melanoma is 1% when no factors are present, and approaches 100% with specific combinations of three or more risk factors. Understanding how combinations of factors influence risk of transformation into melanoma can guide counselling and treatment decisions.

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MR Imaging Features of Radial Tunnel Syndrome: Initial Experience

Yearbook of Diagnostic Radiology ◽

10.1016/s0098-1672(08)70081-x ◽

2007 ◽

Vol 2007 ◽

pp. 108-110

Author(s):

M.K. Dalinka

Keyword(s):

Mr Imaging ◽

Imaging Features ◽

Initial Experience ◽

Tunnel Syndrome ◽

Radial Tunnel Syndrome

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Imaging Features of Nontumorous Conditions Involving the Trachea and Main-stem Bronchi

Journal of the Korean Radiological Society ◽

10.3348/jkrs.2002.47.3.269 ◽

2002 ◽

Vol 47 (3) ◽

pp. 269

Author(s):

Kyung Nyeo Jeon ◽

Duk Sik Kang ◽

Kyung Soo Bae

Keyword(s):

Main Stem ◽

Imaging Features

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PEMBELAJARAN SIMULASI PENCITRAAN CT DENGAN MENGGUNAKAN PRINSIP REKONSTRUKSI CITRA DALAM SOFTWARE MATLAB

Jurnal Dinamika Pendidikan ◽

10.33541/jdp.v8i3.127 ◽

2015 ◽

Vol 8 (3) ◽

pp. 161

Author(s):

Samuel Gideon

Keyword(s):

Image Reconstruction ◽

Ct Imaging ◽

The Body ◽

Reconstruction Technique ◽

Imaging Features ◽

Back Projection ◽

Cross Sectional ◽

Low Contrast ◽

Image Reconstruction Technique ◽

Imaging Algorithms

This research was conducted as a learning alternatives for study of CT (computed tomograpghy) imaging using image reconstruction technique which are inversion matrix, back projection and filtered back projection. CT imaging can produce images of objects that do not overlap. Objects more easily distinguishable although given the relatively low contrast. The image is generated on CT imaging is the result of reconstruction of the original object. Matlab allows us to create and write imaging algorithms easily, easy to undersand and gives applied and exciting other imaging features. In this study, an example cross-sectional image recon-struction performed on the body of prostate tumors using. With these methods, medical prac-titioner (such as oncology clinician, radiographer and medical physicist) allows to simulate the reconstruction of CT images which almost resembles the actual CT visualization techniques.Keywords : computed tomography (CT), image reconstruction, Matlab

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Imaging features of children with growth hormone deficiency

Endocrine Abstracts ◽

10.1530/endoabs.63.p289 ◽

2019 ◽

Author(s):

Tahri Abir ◽

Abdellaoui Wahiba ◽

Rouf Siham ◽

Latrech Hanane

Keyword(s):

Growth Hormone ◽

Growth Hormone Deficiency ◽

Hormone Deficiency ◽

Imaging Features

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Diffusion-Weighted Imaging Features of Urachal Abscess

Yeditepe Medical Journal ◽

10.15659/yeditepemj.15.10.250 ◽

2008 ◽

Author(s):

Ozgur Kilickesmez ◽

Arda Kayhan ◽

Bengi Gürses ◽

Neslihan Tasdelen ◽

Baki Ekci ◽

...

Keyword(s):

Diffusion Weighted Imaging ◽

Imaging Features ◽

Diffusion Weighted ◽

Urachal Abscess

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A Case of an Extraosseous Pretibial Ganglion Cyst

10.25259/ijmsr_12_2019 ◽

2019 ◽

Vol 1 ◽

pp. 114-116

Author(s):

Catrin Wigley ◽

Guy Morris ◽

Scott Evans ◽

Rajesh Botchu

Keyword(s):

Differential Diagnosis ◽

Ganglion Cyst ◽

Imaging Features ◽

Oncology Service ◽

Orthopedic Oncology

Pretibial lesion can have a plethora of differential diagnosis. We report a case of extraosseous pretibial ganglion cyst which was referred to our orthopedic oncology service and described the imaging features.

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