Characterization of Blau syndrome panuveitis with wide-field fluorescein angiography

Here we review the efforts we take in a newly established laboratory inside Institute of Physics in Prague in order to characterize modern large-format CCD and CMOS sensors for sky survey applications. While the laboratory is primarily established in order to participate in low-level CCD sensor characterization for LSST project, we also managed to perform a thorough laboratory testing of recently released Andor Marana sCMOS (which is especially interesting for wide-field sky monitoring applications due to its large format, backilluminated design, high achievable frame rate and low read-out noise), as well as detailed measurements of response non-linearity of Moravian Instruments G4-16000 CCD cameras (based on large-format Kodak KAF-16803 chip) used in several robotic telescopes. We brieﬂy review the results acquired on these cameras, as well as hardware and software we developed for the laboratory.

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Could we use cardiac MRIfor diagnosis of infective endocarditis

European Heart Journal - Cardiovascular Imaging ◽

10.1093/ehjci/jeab090.107 ◽

2021 ◽

Vol 22 (Supplement_2) ◽

Author(s):

AE Elagha ◽

YB Beniamin ◽

WE El-Aroussy ◽

MM Meshaal

Keyword(s):

Infective Endocarditis ◽

Tissue Characterization ◽

Clinical Situation ◽

Cardiac Complications ◽

Wide Field ◽

Imaging Tool ◽

Low Sensitivity ◽

Kappa Agreement ◽

Cardiac Masses

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Echocardiography is a reliable imaging tool in diagnosing infective endocarditis (IE) according to "modified Dukes criteria"; however, it lacks tissue characterization of cardiac masses, and transthoracic echocardiography (TTE) has low sensitivity in detection of vegetations. Moreover, transesophageal echo (TEE) is considered semi-invasive and intolerable in some situations .On the other hand, cardiac magnetic resonance (CMR) is a powerful true 3D imaging tool with wide field of view, and superior capability of tissue characterization of cardiac masses; however, modest information is available about utility of CMR in diagnosing IE. Purpose To assess the feasibility of CMR to identify vegetations and complications of IE, and compare obtained findings with those obtained from echocardiography regarding: presence, number, size of vegetations, and detection of cardiac complications (e.g. aortic root abscess, periannular abscess, and shunts). Materials and Methods Eighty consecutive patients with suspected IE were enrolled in the study. All patients underwent TTE; only those with left-sided lesions underwent TEE. When clinical situation allowed, CMR examination using 1.5 Tesla magnet were performed using the following sequences: Steady-state free precession (SSFP), T1W (± fat suppression) and T2W, first-pass perfusion, and delayed hyperenhancement. Moreover, chest and abdominal survey was done. Results Sixty-one patients (45 males and 16 females) were able to undergo and complete CMR study. Affection of tricuspid valve was seen in 39.3%, mitral 31.1%, aortic 24.6%, and pulmonary 4.9% of cases. All vegetations visualized by echocardiography were also clearly detected and confirmed by CMR. The sensitivity, specificity, accuracy and Kappa agreement of CMR with echocardiography in depicting >0.5cm vegetations were all 100%. By tissue characterization, vegetations resemble features of thrombi (with variation in signal intensity according to age of vegetation). However, in some cases, masses have a unique pattern that is different from vegetations of IE, and subsequently other diagnoses were suggested (e.g. fibroelastoma, Libman-Saks endocarditis). In 22 patients, CMR provided more information than echocardiography, and in 6 patients, CMR made a paradigm shift of diagnosis. Conclusion Cardiac MRI is a powerful imaging tool in diagnosis of IE and its complications. In comparison with echocardiography, CMR can identify the presence, numbers, and size of vegetations accurately. Moreover, with its unique ability of tissue characterization, CMR helps distinguish vegetations from other masses; therefore changes the diagnosis of IE and subsequent management in some patients.

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Fluorescein Angiography, Wide Field Angiography, and Indocyanine Green Angiography in Behcet Uveitis

Güncel Retina Dergisi (Current Retina Journal) ◽

10.37783/crj-0115 ◽

2018 ◽

pp. 334-337

Keyword(s):

Early Diagnosis ◽

Indocyanine Green ◽

Fluorescein Angiography ◽

Indocyanine Green Angiography ◽

Ocular Involvement ◽

Wide Field ◽

Fundus Examination ◽

Fundus Fluorescein Angiography ◽

Important Place ◽

Retinal Periphery

In Behcet's disease, the anterior and posterior segments of the eye may be affected separately or together. Fundus fluorescein angiography should be performed in addition to ophthalmoscopic examination for early diagnosis and treatment of ocular involvement. Fundus fluorescein angiography (FFA) is the gold standard for the evaluation of the retinal vascular system and pathologies. Fundus fluorescein angiography is more sensitive than fundus examination in the detection of vasculitis, and angiographic involvement is always more common than clinical involvement. Fluorescein angiography may reveal leakage from retinal veins in eyes whose visual impression is not affected and the fundus examination is normal. The absence of vascular leakage with fluorescein angiography indicates that the disease is in a completely inactive period. Because of the development of blindness due to posterior segment involvement, early detection of the disease with fundus angiography and the initiation of the treatment is successful in terms of visual prognosis. It has an important place in terms of early activation of patients with FFA in the early diagnosis of eye involvement and follow-up of the disease and treatment. Wide-field imaging angiography imaging of the retinal periphery revealed the importance of lesions in retinal periphery and peripheral areas invisible by standard angiography. The use of indocyanine green angiography in Behcet uveitis is limited.

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Wide-Field Surface Plasmon Resonance Microscopy for In-Situ Characterization of Nanoparticle Suspensions

In-situ Characterization Techniques for Nanomaterials ◽

10.1007/978-3-662-56322-9_3 ◽

2018 ◽

pp. 61-105 ◽

Cited By ~ 1

Author(s):

Shavkat Nizamov ◽

Vladimir M. Mirsky

Keyword(s):

Surface Plasmon Resonance ◽

Surface Plasmon ◽

Plasmon Resonance ◽

Wide Field ◽

In Situ Characterization ◽

Nanoparticle Suspensions ◽

Surface Plasmon Resonance Microscopy

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Retinal vascular bed area on ultra-wide field fluorescein angiography indicates the severity of diabetic retinopathy

British Journal of Ophthalmology ◽

10.1136/bjophthalmol-2020-317488 ◽

2021 ◽

pp. bjophthalmol-2020-317488

Author(s):

Wenying Fan ◽

Akihito Uji ◽

Muneeswar Nittala ◽

Charles Clifton Wykoff ◽

David Brown ◽

...

Keyword(s):

Diabetic Retinopathy ◽

Fluorescein Angiography ◽

Final Analysis ◽

Retinal Vasculature ◽

Wide Field ◽

Link Type ◽

Vascular Bed ◽

Retinal Ischaemia ◽

Reading Center ◽

Normal Controls

AimsTo quantify retinal vascular bed area (RVBA) in square millimetres on stereographically projected ultra-wide field (UWF) fluorescein angiography (FA) in eyes with diabetic retinopathy (DR).MethodsA prospective, observational study. Baseline Optos 200Tx UWF FA images of 80 eyes with DR from the DAVE (NCT01552408) and RECOVERY (NCT02863354) studies were stereographically projected at the Doheny Image Reading Center to adjust for peripheral distortion. The early-phase FA frame was used to extract the retinal vasculature as a mask for calculating RVBA. The pixels of the retinal vasculature were automatically computed in square millimetres using manufacturer-provided software.ResultsEighteen of 80 diabetic eyes were excluded because image quality and contrast were insufficient for automatic extraction of the retinal vasculature from the background fluorescence. The remaining 62 eyes were included in the final analysis. In comparison with age-matched and sex-matched normal controls, eyes with DR had a higher global RVBA for the entire retina (p<0.001), and RVBA correlated with DR severity (p<0.001), with a higher RVBA in eyes with proliferative DR (66.1±16.2 mm2) than in those with non-proliferative DR (56.2±16.6 mm2) or in normal controls (37.2±9.9 mm2). This tendency was also present in the posterior retina and mid-periphery but absent in the far-periphery. RVBA did not correlate with retinal ischaemia (p>0.05).ConclusionsEyes with DR harboured a larger global RVBA for the entire retina than normal controls, and RVBA appeared to indicate DR severity. However, this biomarker was not observed to be a good indicator of retinal ischaemia.

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Pediatric Retinal Conditions Imaged by Ultra Wide Field Fluorescein Angiography

Ophthalmic Surgery Lasers and Imaging Retina ◽

10.3928/23258160-20121221-14 ◽

2013 ◽

Vol 44 (1) ◽

pp. 59-67 ◽

Cited By ~ 28

Author(s):

Irena Tsui ◽

Valentina Franco-Cardenas ◽

Jean-Pierre Hubschman ◽

Steven D. Schwartz

Keyword(s):

Fluorescein Angiography ◽

Wide Field

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Early‐onset granulomatous arthritis, uveitis and skin rash: characterization of skin involvement in Blau syndrome

Journal of the European Academy of Dermatology and Venereology ◽

10.1111/jdv.15963 ◽

2019 ◽

Vol 34 (2) ◽

pp. 340-348 ◽

Cited By ~ 5

Author(s):

J. Poline ◽

O. Fogel ◽

C. Pajot ◽

C. Miceli‐Richard ◽

M. Rybojad ◽

...

Keyword(s):

Skin Rash ◽

Early Onset ◽

Blau Syndrome ◽

Skin Involvement

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Deep Learning-Based Segmentation and Quantification of Retinal Capillary Non-Perfusion on Ultra-Wide-Field Retinal Fluorescein Angiography

Journal of Clinical Medicine ◽

10.3390/jcm9082537 ◽

2020 ◽

Vol 9 (8) ◽

pp. 2537

Author(s):

Joan M. Nunez do Rio ◽

Piyali Sen ◽

Rajna Rasheed ◽

Akanksha Bagchi ◽

Luke Nicholson ◽

...

Keyword(s):

Deep Learning ◽

Fluorescein Angiography ◽

Automatic Segmentation ◽

Intraclass Correlation ◽

Vascular Diseases ◽

Dice Similarity Coefficient ◽

Wide Field ◽

Distribution Analysis ◽

Topographical Distribution ◽

Circular Grid

Reliable outcome measures are required for clinical trials investigating novel agents for preventing progression of capillary non-perfusion (CNP) in retinal vascular diseases. Currently, accurate quantification of topographical distribution of CNP on ultrawide field fluorescein angiography (UWF-FA) by retinal experts is subjective and lack standardisation. A U-net style network was trained to extract a dense segmentation of CNP from a newly created dataset of 75 UWF-FA images. A subset of 20 images was also segmented by a second expert grader for inter-grader reliability evaluation. Further, a circular grid centred on the FAZ was used to provide standardised CNP distribution analysis. The model for dense segmentation was five-fold cross-validated achieving area under the receiving operating characteristic of 0.82 (0.03) and area under precision-recall curve 0.73 (0.05). Inter-grader assessment on the 20 image subset achieves: precision 59.34 (10.92), recall 76.99 (12.5), and dice similarity coefficient (DSC) 65.51 (4.91), and the centred operating point of the automated model reached: precision 64.41 (13.66), recall 70.02 (16.2), and DSC 66.09 (13.32). Agreement of CNP grid assessment reached: Kappa 0.55 (0.03), perfused intraclass correlation (ICC) 0.89 (0.77, 0.93), non-perfused ICC 0.86 (0.73, 0.92), inter-grader agreement of CNP grid assessment values are Kappa 0.43 (0.03), perfused ICC 0.70 (0.48, 0.83), non-perfused ICC 0.71 (0.48, 0.83). Automated dense segmentation of CNP in UWF-FA images achieves performance levels comparable to inter-grader agreement values. A grid placed on the deep learning-based automatic segmentation of CNP generates a reliable and quantifiable method of measurement of CNP, to overcome the subjectivity of human graders.

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