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Chiu HH, Al-Farsi N, Wong AMF, Davis A, Tessaro MO, Wan MJ. Diagnostic utility of point-of-care ultrasound and optical coherence tomography for papilloedema in children: a prospective pilot study. Br J Ophthalmol 2024; 108:1286-1291. [PMID: 38413191 DOI: 10.1136/bjo-2023-324552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 01/23/2024] [Indexed: 02/29/2024]
Abstract
BACKGROUND/AIMS Papilloedema is an important sign of serious neurological disease, but it can be difficult to detect on funduscopy. The purpose of this study was to determine the diagnostic accuracy of point-of-care ultrasound (POCUS) and optical coherence tomography (OCT) for detecting papilloedema in children. METHODS This was a prospective observational study at a tertiary care paediatric hospital. Patients were eligible for the study if they underwent a lumbar puncture with opening pressure and had high-quality POCUS and OCT imaging. RESULTS A total of 63 eyes from 32 patients were included in the study, 41 (65%) with papilloedema and 22 (35%) without. There were statistically significant differences between the groups in the optic disc elevation (ODE) (p<0.001) and optic nerve sheath diameter (ONSD) (p<0.001) on POCUS, and in the average retinal nerve fibre layer (rNFL) thickness on OCT (p<0.001). Average rNFL thickness had the highest diagnostic accuracy with an area under the curve (AUC) of 0.999 and a 100% sensitivity and 95% specificity for papilloedema (threshold value of ≥108 µm). ODE had an AUC of 0.866 and a 93% sensitivity and 55% specificity (threshold value of ≥0.5 mm). ONSD had an AUC of 0.786 and a 93% sensitivity and 45% specificity (threshold value of ≥5.5 mm). CONCLUSION Both OCT and POCUS are potentially useful tools to help diagnose papilloedema in children. Larger studies are needed to further define the role and accuracy of POCUS and OCT in assessing papilloedema in children.
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Affiliation(s)
- Hannah H Chiu
- Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Nouf Al-Farsi
- Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada
- Department of Ophthalmology and Vision Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Agnes M F Wong
- Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada
- Department of Ophthalmology and Vision Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Adrienne Davis
- Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Mark O Tessaro
- Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Michael J Wan
- Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada
- Department of Ophthalmology and Vision Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada
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Prem Senthil M, Anand S, Chakraborty R, Bordon JE, Constable PA, Brown S, Al-Dasooqi D, Simon S. Exploring the utility of retinal optical coherence tomography as a biomarker for idiopathic intracranial hypertension: a systematic review. J Neurol 2024; 271:4769-4793. [PMID: 38856724 PMCID: PMC11319609 DOI: 10.1007/s00415-024-12481-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 05/24/2024] [Accepted: 05/26/2024] [Indexed: 06/11/2024]
Abstract
This study aimed to examine the existing literature that investigated the effectiveness of optical coherence tomography (OCT) and optical coherence tomography angiography (OCT-A) as a biomarker for idiopathic intracranial hypertension (IIH). Our search was conducted on January 17th, 2024, and included the databases, Medline, Scopus, Embase, Cochrane, Latin American and Caribbean Health Sciences Literature (LILACS), International Standard Randomized Controlled Trial Number (ISRCTN) registry, and the International Clinical Trials Registry Platform (ICTRP). Our final review included 84 articles. In 74 studies, OCT was utilized as the primary ocular imaging method, while OCT-A was employed in two studies including eight studies that utilized both modalities. Overall, the results indicated that IIH patients exhibited significant increases in retinal nerve fiber layer (RNFL) thickness, total retinal and macular thickness, optic nerve head volume, and height, optic disc diameter and area, rim area, and thickness compared to controls. A significant correlation was observed between cerebrospinal fluid (CSF) pressure and OCT parameters including RNFL thickness, total retinal thickness, macular thickness, optic nerve head volume, and optic nerve head height. Interventions aimed at lowering CSF pressure were associated with a substantial improvement in these parameters. Nevertheless, studies comparing peripapillary vessel density using OCT-A between IIH patients and controls yielded conflicting results. Our systematic review supports OCT as a powerful tool to accurately monitor retinal axonal and optic nerve head changes in patients with IIH. Future research is required to determine the utility of OCT-A in IIH.
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Affiliation(s)
- Mallika Prem Senthil
- College of Nursing and Health Sciences, Caring Futures Institute, Flinders University, Bedford Park, Adelaide, South Australia, 5042, Australia.
| | - Saumya Anand
- College of Nursing and Health Sciences, Caring Futures Institute, Flinders University, Bedford Park, Adelaide, South Australia, 5042, Australia
| | - Ranjay Chakraborty
- College of Nursing and Health Sciences, Caring Futures Institute, Flinders University, Bedford Park, Adelaide, South Australia, 5042, Australia
| | - Jose Estevez Bordon
- College of Nursing and Health Sciences, Caring Futures Institute, Flinders University, Bedford Park, Adelaide, South Australia, 5042, Australia
| | - Paul A Constable
- College of Nursing and Health Sciences, Caring Futures Institute, Flinders University, Bedford Park, Adelaide, South Australia, 5042, Australia
| | - Shannon Brown
- Central Library, Flinders University, Bedford Park, Adelaide, South Australia, Australia
| | - Dalia Al-Dasooqi
- College of Nursing and Health Sciences, Caring Futures Institute, Flinders University, Bedford Park, Adelaide, South Australia, 5042, Australia
| | - Simu Simon
- University of Adelaide, Adelaide, South Australia, Australia
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Girard MJA, Panda S, Tun TA, Wibroe EA, Najjar RP, Aung T, Thiéry AH, Hamann S, Fraser C, Milea D. Discriminating Between Papilledema and Optic Disc Drusen Using 3D Structural Analysis of the Optic Nerve Head. Neurology 2023; 100:e192-e202. [PMID: 36175153 DOI: 10.1212/wnl.0000000000201350] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 08/19/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND AND OBJECTIVES The distinction of papilledema from other optic nerve head (ONH) lesions mimicking papilledema, such as optic disc drusen (ODD), can be difficult in clinical practice. We aimed the following: (1) to develop a deep learning algorithm to automatically identify major structures of the ONH in 3-dimensional (3D) optical coherence tomography (OCT) scans and (2) to exploit such information to robustly differentiate among ODD, papilledema, and healthy ONHs. METHODS This was a cross-sectional comparative study of patients from 3 sites (Singapore, Denmark, and Australia) with confirmed ODD, those with papilledema due to raised intracranial pressure, and healthy controls. Raster scans of the ONH were acquired using OCT imaging and then processed to improve deep-tissue visibility. First, a deep learning algorithm was developed to identify major ONH tissues and ODD regions. The performance of our algorithm was assessed using the Dice coefficient. Second, a classification algorithm (random forest) was designed to perform 3-class classifications (1: ODD, 2: papilledema, and 3: healthy ONHs) strictly from their drusen and prelamina swelling scores (calculated from the segmentations). To assess performance, we reported the area under the receiver operating characteristic curve for each class. RESULTS A total of 241 patients (256 imaged ONHs, including 105 ODD, 51 papilledema, and 100 healthy ONHs) were retrospectively included in this study. Using OCT images of the ONH, our segmentation algorithm was able to isolate neural and connective tissues and ODD regions/conglomerates whenever present. This was confirmed by an averaged Dice coefficient of 0.93 ± 0.03 on the test set, corresponding to good segmentation performance. Classification was achieved with high AUCs, that is, 0.99 ± 0.001 for the detection of ODD, 0.99 ± 0.005 for the detection of papilledema, and 0.98 ± 0.01 for the detection of healthy ONHs. DISCUSSION Our artificial intelligence approach can discriminate ODD from papilledema, strictly using a single OCT scan of the ONH. Our classification performance was very good in the studied population, with the caveat that validation in a much larger population is warranted. Our approach may have the potential to establish OCT imaging as one of the mainstays of diagnostic imaging for ONH disorders in neuro-ophthalmology, in addition to fundus photography.
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Affiliation(s)
- Michaël J A Girard
- From the Ophthalmic Engineering & Innovation Laboratory (M.J.A.G., S.P.), Singapore Eye Research Institute (T.A.T., R.P.N., T.A., D.M.), Singapore National Eye Centre; Duke-NUS Graduate Medical School (M.J.A.G., T.A.T., R.P.N., T.A., D.M.), Singapore; Institute for Molecular and Clinical Ophthalmology (M.J.A.G.), Basel, Switzerland; Department of Ophthalmology (E.A.W., S.H.), Rigshospitalet, University of Copenhagen, Denmark; Yong Loo Lin School of Medicine (R.P.N., T.A.), and Department of Statistics and Applied Probability (A.H.T.), National University of Singapore; and Save Sight Institute (C.F.), Faculty of Health and Medicine, The University of Sydney, New South Wales, Australia.
| | - Satish Panda
- From the Ophthalmic Engineering & Innovation Laboratory (M.J.A.G., S.P.), Singapore Eye Research Institute (T.A.T., R.P.N., T.A., D.M.), Singapore National Eye Centre; Duke-NUS Graduate Medical School (M.J.A.G., T.A.T., R.P.N., T.A., D.M.), Singapore; Institute for Molecular and Clinical Ophthalmology (M.J.A.G.), Basel, Switzerland; Department of Ophthalmology (E.A.W., S.H.), Rigshospitalet, University of Copenhagen, Denmark; Yong Loo Lin School of Medicine (R.P.N., T.A.), and Department of Statistics and Applied Probability (A.H.T.), National University of Singapore; and Save Sight Institute (C.F.), Faculty of Health and Medicine, The University of Sydney, New South Wales, Australia
| | - Tin Aung Tun
- From the Ophthalmic Engineering & Innovation Laboratory (M.J.A.G., S.P.), Singapore Eye Research Institute (T.A.T., R.P.N., T.A., D.M.), Singapore National Eye Centre; Duke-NUS Graduate Medical School (M.J.A.G., T.A.T., R.P.N., T.A., D.M.), Singapore; Institute for Molecular and Clinical Ophthalmology (M.J.A.G.), Basel, Switzerland; Department of Ophthalmology (E.A.W., S.H.), Rigshospitalet, University of Copenhagen, Denmark; Yong Loo Lin School of Medicine (R.P.N., T.A.), and Department of Statistics and Applied Probability (A.H.T.), National University of Singapore; and Save Sight Institute (C.F.), Faculty of Health and Medicine, The University of Sydney, New South Wales, Australia
| | - Elisabeth A Wibroe
- From the Ophthalmic Engineering & Innovation Laboratory (M.J.A.G., S.P.), Singapore Eye Research Institute (T.A.T., R.P.N., T.A., D.M.), Singapore National Eye Centre; Duke-NUS Graduate Medical School (M.J.A.G., T.A.T., R.P.N., T.A., D.M.), Singapore; Institute for Molecular and Clinical Ophthalmology (M.J.A.G.), Basel, Switzerland; Department of Ophthalmology (E.A.W., S.H.), Rigshospitalet, University of Copenhagen, Denmark; Yong Loo Lin School of Medicine (R.P.N., T.A.), and Department of Statistics and Applied Probability (A.H.T.), National University of Singapore; and Save Sight Institute (C.F.), Faculty of Health and Medicine, The University of Sydney, New South Wales, Australia
| | - Raymond P Najjar
- From the Ophthalmic Engineering & Innovation Laboratory (M.J.A.G., S.P.), Singapore Eye Research Institute (T.A.T., R.P.N., T.A., D.M.), Singapore National Eye Centre; Duke-NUS Graduate Medical School (M.J.A.G., T.A.T., R.P.N., T.A., D.M.), Singapore; Institute for Molecular and Clinical Ophthalmology (M.J.A.G.), Basel, Switzerland; Department of Ophthalmology (E.A.W., S.H.), Rigshospitalet, University of Copenhagen, Denmark; Yong Loo Lin School of Medicine (R.P.N., T.A.), and Department of Statistics and Applied Probability (A.H.T.), National University of Singapore; and Save Sight Institute (C.F.), Faculty of Health and Medicine, The University of Sydney, New South Wales, Australia
| | - Tin Aung
- From the Ophthalmic Engineering & Innovation Laboratory (M.J.A.G., S.P.), Singapore Eye Research Institute (T.A.T., R.P.N., T.A., D.M.), Singapore National Eye Centre; Duke-NUS Graduate Medical School (M.J.A.G., T.A.T., R.P.N., T.A., D.M.), Singapore; Institute for Molecular and Clinical Ophthalmology (M.J.A.G.), Basel, Switzerland; Department of Ophthalmology (E.A.W., S.H.), Rigshospitalet, University of Copenhagen, Denmark; Yong Loo Lin School of Medicine (R.P.N., T.A.), and Department of Statistics and Applied Probability (A.H.T.), National University of Singapore; and Save Sight Institute (C.F.), Faculty of Health and Medicine, The University of Sydney, New South Wales, Australia
| | - Alexandre H Thiéry
- From the Ophthalmic Engineering & Innovation Laboratory (M.J.A.G., S.P.), Singapore Eye Research Institute (T.A.T., R.P.N., T.A., D.M.), Singapore National Eye Centre; Duke-NUS Graduate Medical School (M.J.A.G., T.A.T., R.P.N., T.A., D.M.), Singapore; Institute for Molecular and Clinical Ophthalmology (M.J.A.G.), Basel, Switzerland; Department of Ophthalmology (E.A.W., S.H.), Rigshospitalet, University of Copenhagen, Denmark; Yong Loo Lin School of Medicine (R.P.N., T.A.), and Department of Statistics and Applied Probability (A.H.T.), National University of Singapore; and Save Sight Institute (C.F.), Faculty of Health and Medicine, The University of Sydney, New South Wales, Australia
| | - Steffen Hamann
- From the Ophthalmic Engineering & Innovation Laboratory (M.J.A.G., S.P.), Singapore Eye Research Institute (T.A.T., R.P.N., T.A., D.M.), Singapore National Eye Centre; Duke-NUS Graduate Medical School (M.J.A.G., T.A.T., R.P.N., T.A., D.M.), Singapore; Institute for Molecular and Clinical Ophthalmology (M.J.A.G.), Basel, Switzerland; Department of Ophthalmology (E.A.W., S.H.), Rigshospitalet, University of Copenhagen, Denmark; Yong Loo Lin School of Medicine (R.P.N., T.A.), and Department of Statistics and Applied Probability (A.H.T.), National University of Singapore; and Save Sight Institute (C.F.), Faculty of Health and Medicine, The University of Sydney, New South Wales, Australia
| | - Clare Fraser
- From the Ophthalmic Engineering & Innovation Laboratory (M.J.A.G., S.P.), Singapore Eye Research Institute (T.A.T., R.P.N., T.A., D.M.), Singapore National Eye Centre; Duke-NUS Graduate Medical School (M.J.A.G., T.A.T., R.P.N., T.A., D.M.), Singapore; Institute for Molecular and Clinical Ophthalmology (M.J.A.G.), Basel, Switzerland; Department of Ophthalmology (E.A.W., S.H.), Rigshospitalet, University of Copenhagen, Denmark; Yong Loo Lin School of Medicine (R.P.N., T.A.), and Department of Statistics and Applied Probability (A.H.T.), National University of Singapore; and Save Sight Institute (C.F.), Faculty of Health and Medicine, The University of Sydney, New South Wales, Australia
| | - Dan Milea
- From the Ophthalmic Engineering & Innovation Laboratory (M.J.A.G., S.P.), Singapore Eye Research Institute (T.A.T., R.P.N., T.A., D.M.), Singapore National Eye Centre; Duke-NUS Graduate Medical School (M.J.A.G., T.A.T., R.P.N., T.A., D.M.), Singapore; Institute for Molecular and Clinical Ophthalmology (M.J.A.G.), Basel, Switzerland; Department of Ophthalmology (E.A.W., S.H.), Rigshospitalet, University of Copenhagen, Denmark; Yong Loo Lin School of Medicine (R.P.N., T.A.), and Department of Statistics and Applied Probability (A.H.T.), National University of Singapore; and Save Sight Institute (C.F.), Faculty of Health and Medicine, The University of Sydney, New South Wales, Australia
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