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Rai BB, Sabeti F, Carle CF, Maddess T. Visual Field Tests: A Narrative Review of Different Perimetric Methods. J Clin Med 2024; 13:2458. [PMID: 38730989 PMCID: PMC11084906 DOI: 10.3390/jcm13092458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 04/11/2024] [Accepted: 04/16/2024] [Indexed: 05/13/2024] Open
Abstract
Visual field (VF) testing dates back to fifth century B.C. It plays a pivotal role in the diagnosis, management, and prognosis of retinal and neurological diseases. This review summarizes each of the different VF tests and perimetric methods, including the advantages and disadvantages and adherence to the desired standard diagnostic criteria. The review targets beginners and eye care professionals and includes history and evolution, qualitative and quantitative tests, and subjective and objective perimetric methods. VF testing methods have evolved in terms of technique, precision, user-friendliness, and accuracy. Consequently, some earlier perimetric techniques, often still effective, are not used or have been forgotten. Newer technologies may not always be advantageous because of higher costs, and they may not achieve the desired sensitivity and specificity. VF testing is most often used in glaucoma and neurological diseases, but new objective methods that also measure response latencies are emerging for the management of retinal diseases. Given the varied perimetric methods available, clinicians are advised to select appropriate methods to suit their needs and target disease and to decide on applying simple vs. complex tests or between using subjective and objective methods. Newer, rapid, non-contact, objective methods may provide improved patient satisfaction and allow for the testing of children and the infirm.
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Affiliation(s)
- Bhim Bahadur Rai
- John Curtin School of Medical Research, Australian National University, Canberra, ACT 2601, Australia; (F.S.); (C.F.C.); (T.M.)
| | - Faran Sabeti
- John Curtin School of Medical Research, Australian National University, Canberra, ACT 2601, Australia; (F.S.); (C.F.C.); (T.M.)
- Faculty of Health, School of Optometry, University of Canberra, Canberra, ACT 2601, Australia
| | - Corinne Frances Carle
- John Curtin School of Medical Research, Australian National University, Canberra, ACT 2601, Australia; (F.S.); (C.F.C.); (T.M.)
| | - Ted Maddess
- John Curtin School of Medical Research, Australian National University, Canberra, ACT 2601, Australia; (F.S.); (C.F.C.); (T.M.)
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2
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Vrettou CS, Fragkou PC, Mallios I, Barba C, Giannopoulos C, Gavrielatou E, Dimopoulou I. The Role of Automated Infrared Pupillometry in Traumatic Brain Injury: A Narrative Review. J Clin Med 2024; 13:614. [PMID: 38276120 PMCID: PMC10817296 DOI: 10.3390/jcm13020614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 01/15/2024] [Accepted: 01/20/2024] [Indexed: 01/27/2024] Open
Abstract
Pupillometry, an integral component of neurological examination, serves to evaluate both pupil size and reactivity. The conventional manual assessment exhibits inherent limitations, thereby necessitating the development of portable automated infrared pupillometers (PAIPs). Leveraging infrared technology, these devices provide an objective assessment, proving valuable in the context of brain injury for the detection of neuro-worsening and the facilitation of patient monitoring. In cases of mild brain trauma particularly, traditional methods face constraints. Conversely, in severe brain trauma scenarios, PAIPs contribute to neuro-prognostication and non-invasive neuromonitoring. Parameters derived from PAIPs exhibit correlations with changes in intracranial pressure. It is important to acknowledge, however, that PAIPs cannot replace invasive intracranial pressure monitoring while their widespread adoption awaits robust support from clinical studies. Ongoing research endeavors delve into the role of PAIPs in managing critical neuro-worsening in brain trauma patients, underscoring the non-invasive monitoring advantages while emphasizing the imperative for further clinical validation. Future advancements in this domain encompass sophisticated pupillary assessment tools and the integration of smartphone applications, emblematic of a continually evolving landscape.
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Affiliation(s)
- Charikleia S. Vrettou
- First Department of Critical Care Medicine & Pulmonary Services, Evangelismos Hospital, Medical School, National and Kapodistrian University of Athens, 10676 Athens, Greece (I.D.)
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3
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Huyghe T, Calleja-González J, Bird SP, Alcaraz PE. Pupillometry as a new window to player fatigue? A glimpse inside the eyes of a Euro Cup Women's Basketball team. Biol Sport 2024; 41:3-15. [PMID: 38188113 PMCID: PMC10765450 DOI: 10.5114/biolsport.2024.125590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Revised: 07/18/2022] [Accepted: 02/14/2023] [Indexed: 01/09/2024] Open
Abstract
A rapidly emerging area of interest in high-pressure environments is that of pupillometry, where handheld quantitative infrared pupillometers (HQIPs) are able to track psycho-physiological fatigue in a fast, objective, valid, reliable, and non-invasive manner. However, the application of HQIPs in the context of athlete monitoring is yet to be determined. Therefore, the main aim of this pilot study was to examine the potential usefulness of a HQIP to monitor game-induced fatigue inside a professional female basketball setting by determining its (1) test-retest repeatability, (2) relationship with other biomarkers of game-induced fatigue, and (3) time-course from rested to fatigued states. A non-ophthalmologic practitioner performed a standardized Pupil Light Reflex (PLR) test using a medically graded HQIP among 9 professional female basketball players (2020-2021 Euro Cup) at baseline, 24-h pre-game (GD-1), 24-h post-game (GD+1) and 48-h post-game (GD+2). This was repeated over four subsequent games, equalling a total of 351 observations per eye. Two out of seven pupillometrics displayed good ICCs (0.95-0.99) (MinD and MaxD). Strong significant relationships were found between MaxD, MinD, and all registered biomarkers of game-induced fatigue (r = 0.69-0.82, p < 0.05), as well as between CV, MCV, and cognitive, lower-extremity muscle, and physiological fatigue markers (r = 0.74-0.76, p < 0.05). Three pupillometrics were able to detect a significant difference between rested and fatigued states. In particular, PC (right) (F = 5.173, η2 = 0.115 p = 0.028) and MCV (right) (F = 3.976, η2 = 0.090 p = 0.049) significantly decreased from baseline to GD+2, and LAT (left) (F = 4.023, η2 = 0.109 p = 0.009) significantly increased from GD-1 to GD+2. HQIPs have opened a new window of opportunity for monitoring game-induced fatigue in professional female basketball players. However, future research initiatives across larger and heterogenous samples, and longer investigation periods, are required to expand upon these preliminary findings.
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Affiliation(s)
- Thomas Huyghe
- Research Center for High Performance Sport, Universidad Católica de Murcia, Murcia, Spain
| | - Julio Calleja-González
- Department of Physical Education and Sports, Faculty of Education and Sport, University of the Basque Country, (UPV/EHU), Vitoria-Gasteiz, Spain
- Faculty of Kinesiology, University of Zagreb, Zagreb, Croatia
| | - Stephen P Bird
- School of Health and Medical Sciences, University of Southern Queensland, Ipswich QLD, Australia
| | - Pedro E Alcaraz
- Research Center for High Performance Sport, Universidad Católica de Murcia, Murcia, Spain
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Pupillary Light Response Deficits in 4-Week-Old Piglets and Adolescent Children after Low-Velocity Head Rotations and Sports-Related Concussions. Biomedicines 2023; 11:biomedicines11020587. [PMID: 36831121 PMCID: PMC9952885 DOI: 10.3390/biomedicines11020587] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 02/10/2023] [Accepted: 02/14/2023] [Indexed: 02/18/2023] Open
Abstract
Neurological disorders and traumatic brain injury (TBI) are among the leading causes of death and disability. The pupillary light reflex (PLR) is an emerging diagnostic tool for concussion in humans. We compared PLR obtained with a commercially available pupillometer in the 4 week old piglet model of the adolescent brain subject to rapid nonimpact head rotation (RNR), and in human adolescents with and without sports-related concussion (SRC). The 95% PLR reference ranges (RR, for maximum and minimum pupil diameter, latency, and average and peak constriction velocities) were established in healthy piglets (N = 13), and response reliability was validated in nine additional healthy piglets. PLR assessments were obtained in female piglets allocated to anesthetized sham (N = 10), single (sRNR, N = 13), and repeated (rRNR, N = 14) sagittal low-velocity RNR at pre-injury, as well as days 1, 4, and 7 post injury, and evaluated against RRs. In parallel, we established human PLR RRs in healthy adolescents (both sexes, N = 167) and compared healthy PLR to values obtained <28 days from a SRC (N = 177). In piglets, maximum and minimum diameter deficits were greater in rRNR than sRNR. Alterations peaked on day 1 post sRNR and rRNR, and remained altered at day 4 and 7. In SRC adolescents, the proportion of adolescents within the RR was significantly lower for maximum pupil diameter only (85.8%). We show that PLR deficits may persist in humans and piglets after low-velocity head rotations. Differences in timing of assessment after injury, developmental response to injury, and the number and magnitude of impacts may contribute to the differences observed between species. We conclude that PLR is a feasible, quantifiable involuntary physiological metric of neurological dysfunction in pigs, as well as humans. Healthy PLR porcine and human reference ranges established can be used for neurofunctional assessments after TBI or hypoxic exposures (e.g., stroke, apnea, or cardiac arrest).
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Bai WL, Gan JH, Wei S, Li SM, An WZ, Liang XT, Tian JX, Yin L, Wang N. Effect of low-dose atropine eyedrops on pupil metrics: results after half a year of treatment and cessation. Graefes Arch Clin Exp Ophthalmol 2022; 261:1177-1186. [PMID: 36401652 PMCID: PMC9676878 DOI: 10.1007/s00417-022-05863-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 08/27/2022] [Accepted: 10/03/2022] [Indexed: 11/20/2022] Open
Abstract
Abstract
Purpose
To evaluate the effect of low-dose atropine eyedrops on pupil metrics.
Methods
This study was based on a randomized, double-masked, placebo-controlled, and cross-over trial in mainland China. In phase 1, subjects received 0.01% atropine or placebo once nightly. After 1 year, the atropine group switched to placebo (atropine-placebo group), and the placebo group switched to atropine (placebo-atropine group). Ocular parameters were measured at the crossover time point (at the 12th month) and the 18th month.
Results
Of 105 subjects who completed the study, 48 and 57 children were allocated into the atropine-placebo and placebo-atropine groups, respectively. After cessation, the photopic pupil diameter (PD) and mesopic PD both decreased (− 0.46 ± 0.47 mm, P < 0.001; − 0.30 ± 0.74 mm, P = 0.008), and the constriction ratio (CR, %) increased (4.39 ± 7.54, P < 0.001) compared with values at the crossover time point of the atropine-placebo group; pupil metrics of the atropine-placebo group had no difference from the values at the crossover time point of the placebo-atropine group. After 6 months of treatment, the photopic PD and the mesopic PD increased (0.54 ± 0.67 mm, P < 0.001; 0.53 ± 0.89 mm, P < 0.001), the CR (%) decreased (− 2.53 ± 8.64, P < 0.001) compared with values at the crossover time point of the placebo-atropine group. There was no significant relationship between pupil metrics and myopia progression during 0.01% atropine treatment.
Conclusion
Pupil metrics and the CR could return to pre-atropine levels after cessation. Pupil metrics had no significant effect on myopia progression during treatment.
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Alexopoulos P, Madu C, Wollstein G, Schuman JS. The Development and Clinical Application of Innovative Optical Ophthalmic Imaging Techniques. Front Med (Lausanne) 2022; 9:891369. [PMID: 35847772 PMCID: PMC9279625 DOI: 10.3389/fmed.2022.891369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 05/23/2022] [Indexed: 11/22/2022] Open
Abstract
The field of ophthalmic imaging has grown substantially over the last years. Massive improvements in image processing and computer hardware have allowed the emergence of multiple imaging techniques of the eye that can transform patient care. The purpose of this review is to describe the most recent advances in eye imaging and explain how new technologies and imaging methods can be utilized in a clinical setting. The introduction of optical coherence tomography (OCT) was a revolution in eye imaging and has since become the standard of care for a plethora of conditions. Its most recent iterations, OCT angiography, and visible light OCT, as well as imaging modalities, such as fluorescent lifetime imaging ophthalmoscopy, would allow a more thorough evaluation of patients and provide additional information on disease processes. Toward that goal, the application of adaptive optics (AO) and full-field scanning to a variety of eye imaging techniques has further allowed the histologic study of single cells in the retina and anterior segment. Toward the goal of remote eye care and more accessible eye imaging, methods such as handheld OCT devices and imaging through smartphones, have emerged. Finally, incorporating artificial intelligence (AI) in eye images has the potential to become a new milestone for eye imaging while also contributing in social aspects of eye care.
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Affiliation(s)
- Palaiologos Alexopoulos
- Department of Ophthalmology, NYU Langone Health, NYU Grossman School of Medicine, New York, NY, United States
| | - Chisom Madu
- Department of Ophthalmology, NYU Langone Health, NYU Grossman School of Medicine, New York, NY, United States
| | - Gadi Wollstein
- Department of Ophthalmology, NYU Langone Health, NYU Grossman School of Medicine, New York, NY, United States
- Department of Biomedical Engineering, NYU Tandon School of Engineering, Brooklyn, NY, United States
- Center for Neural Science, College of Arts & Science, New York University, New York, NY, United States
| | - Joel S. Schuman
- Department of Ophthalmology, NYU Langone Health, NYU Grossman School of Medicine, New York, NY, United States
- Department of Biomedical Engineering, NYU Tandon School of Engineering, Brooklyn, NY, United States
- Center for Neural Science, College of Arts & Science, New York University, New York, NY, United States
- Department of Electrical and Computer Engineering, NYU Tandon School of Engineering, Brooklyn, NY, United States
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Solyman O, Abushanab MMI, Carey AR, Henderson AD. Pilot Study of Smartphone Infrared Pupillography and Pupillometry. Clin Ophthalmol 2022; 16:303-310. [PMID: 35173409 PMCID: PMC8840836 DOI: 10.2147/opth.s331989] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 01/19/2022] [Indexed: 11/23/2022] Open
Affiliation(s)
- Omar Solyman
- Research Institute of Ophthalmology, Giza, Egypt
- Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Ophthalmology, Qassim University Medical City, Al-Qassim, Saudi Arabia
- Correspondence: Omar Solyman, Tel +20 1009350101, Email
| | | | - Andrew R Carey
- Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Amanda D Henderson
- Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Abstract
SUMMARY The autonomic nervous system is a complex neural network that controls several organ systems. Its assessment includes a detailed history of autonomic functions, clinical examination, and autonomic tests. Most widely used is a battery of tests that assess cardiovascular reflex autonomic and sudomotor tests, which include deep breathing (assesses parasympathetic function), Valsalva maneuver, tilt test (both assess parasympathetic and adrenergic functions), and sudomotor testing for the evaluation of postganglionic sudomotor fibers. These basic tests represent a foundation of autonomic testing. Nevertheless, the autonomic nervous system also controls organ systems not directly assessed by basic tests. This review describes a number of auxiliary autonomic tests that can be used in addition to basic autonomic tests or can be used independently to explore particular autonomic functions or to answer a specific clinical question. The auxiliary tests described in this review evaluate cardiovascular, thermoregulatory, gastrointestinal, genitourinary, eye, and exocrine functions. These tests are cold pressor test, sustained handgrip maneuver, reverse tilt test, venoarteriolar reflex, laser Doppler flare imaging, microneurography, neck suction, lower body negative pressure, venous occlusion plethysmography, pharmacologic assessment of postganglionic sympathetic outflow, plasma norepinephrine, sympathetic skin response, video cinefluoroscopic swallowing test, esophageal manometry test, small bowel manometry test, wireless motility capsule test, urodynamic studies, penile plethysmography, intracavernosal papaverine injection, infrared video pupillography, corneal confocal microscopy, pupillary response to dilute pilocarpine and hydroxyamphetamine, Schirmer test, tear osmolarity test, and salivary secretion test. The protocol of each test is described in detail. This review can be used as a quick reference for the auxiliary autonomic tests.
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Affiliation(s)
- Rodrigo C Quispe
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, U.S.A.; and
| | - Peter Novak
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, U.S.A
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Chang LYL, Palanca-Castan N, Neira D, Palacios AG, Acosta ML. Ocular Health of Octodon degus as a Clinical Marker for Age-Related and Age-Independent Neurodegeneration. Front Integr Neurosci 2021; 15:665467. [PMID: 33927598 PMCID: PMC8076605 DOI: 10.3389/fnint.2021.665467] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 03/19/2021] [Indexed: 01/14/2023] Open
Abstract
The aging process and age-related diseases such as Alzheimer’s disease (AD), are very heterogeneous and multifactorial, making it challenging to diagnose the disease based solely on genetic, behavioral tests, or clinical history. It is yet to be explained what ophthalmological tests relate specifically to aging and AD. To this end, we have selected the common degu (Octodon degus) as a model for aging which develops AD-like signs to conduct ophthalmological screening methods that could be clinical markers of aging and AD. We investigated ocular health using ophthalmoscopy, fundus photography, intraocular pressure (IOP), and pupillary light reflex (PLR). The results showed significant presence of cataracts in adult degus and IOP was also found to increase significantly with advancing age. Age had a significant effect on the maximum pupil constriction but other pupil parameters changed in an age-independent manner (PIPR retention index, resting pupil size, constriction velocity, redilation plateau). We concluded that degus have underlying factors at play that regulate PLR and may be connected to sympathetic, parasympathetic, and melanopsin retinal ganglion cell (ipRGC) deterioration. This study provides the basis for the use of ocular tests as screening methods for the aging process and monitoring of neurodegeneration in non-invasive ways.
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Affiliation(s)
- Lily Y-L Chang
- School of Optometry and Vision Science, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
| | - Nicolas Palanca-Castan
- Centro Interdisciplinario de Neurociencia de Valparaíso, Universidad de Valparaíso, Santiago, Chile
| | - David Neira
- Centro Interdisciplinario de Neurociencia de Valparaíso, Universidad de Valparaíso, Santiago, Chile
| | - Adrian G Palacios
- Centro Interdisciplinario de Neurociencia de Valparaíso, Universidad de Valparaíso, Santiago, Chile
| | - Monica L Acosta
- School of Optometry and Vision Science, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.,New Zealand National Eye Centre, The University of Auckland, Auckland, New Zealand.,Centre for Brain Research, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.,Brain Research New Zealand-Rangahau Roro Aotearoa, Auckland, New Zealand
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Pearce E, Sivaprasad S. A Review of Advancements and Evidence Gaps in Diabetic Retinopathy Screening Models. Clin Ophthalmol 2020; 14:3285-3296. [PMID: 33116380 PMCID: PMC7569040 DOI: 10.2147/opth.s267521] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 08/06/2020] [Indexed: 12/03/2022] Open
Abstract
Diabetic retinopathy (DR) is a microvascular complication of diabetes with a prevalence of ~35%, and is one of the leading causes of visual impairment in people of working age in most developed countries. The earliest stage of DR, non-proliferative DR (NPDR), may progress to sight-threatening DR (STDR). Thus, early detection of DR and active regular screening of patients with diabetes are necessary for earlier intervention to prevent sight loss. While some countries offer systematic DR screening, most nations are reliant on opportunistic screening or do not offer any screening owing to limited healthcare resources and infrastructure. Currently, retinal imaging approaches for DR screening include those with and without mydriasis, imaging in single or multiple fields, and the use of conventional or ultra-wide-field imaging. Advances in telescreening and automated detection facilitate screening in previously hard-to-reach communities. Despite the heterogeneity in approaches to fit local needs, an evidence base must be created for each model to inform practice. In this review, we appraise different aspects of DR screening, including technological advances, identify evidence gaps, and propose several studies to improve DR screening globally, with a view to identifying patients with moderate-to-severe NPDR who would benefit if a convenient treatment option to delay progression to STDR became available.
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Affiliation(s)
- Elizabeth Pearce
- Department of Ocular Biology, Institute of Ophthalmology, University College London, London, UK
| | - Sobha Sivaprasad
- Department of Ocular Biology, Institute of Ophthalmology, University College London, London, UK.,Medical Retina Department, NIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital, London, UK
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McKay RE, Kohn MA, Schwartz ES, Larson MD. Evaluation of two portable pupillometers to assess clinical utility. Concussion 2020; 5:CNC82. [PMID: 33204494 PMCID: PMC7653507 DOI: 10.2217/cnc-2020-0016] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Background Pupillometers have been proposed as clinical assessment tools. We compared two pupillometers to assess measurement agreement. Materials & methods We enrolled 30 subjects and simultaneously measured the pupil diameter and light reflex amplitude with an iPhone pupillometer and a portable infrared pupillometer. We then enrolled 40 additional subjects and made serial measurements with each device. Results Failure occurred in 30% of attempts made with the iPhone pupillometer compared with 4% of attempts made with the infrared pupillometer (Fisher's exact p = 0.0001). Method comparison of the two devices used simultaneously showed significant disagreement in dynamic measurements. Conclusion The iPhone pupillometer had poor repeatability and suggests that it is not a practical tool to support clinical decisions.
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Affiliation(s)
- Rachel Eshima McKay
- Department of Anesthesia & Perioperative Care, Professor, University of California San Francisco, CA 94143, USA
| | - Michael A Kohn
- Department of Epidemiology & Biostatistics, Professor, University of California San Francisco, CA 94143, USA
| | - Elliot S Schwartz
- Department of Anesthesia & Perioperative Care, Resident in Anesthesia, University of California San Francisco, CA 94143, USA
| | - Merlin D Larson
- Department of Anesthesia & Perioperative Care, Professor Emeritus, University of California San Francisco, CA 94143, USA
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Gupta VB, Chitranshi N, den Haan J, Mirzaei M, You Y, Lim JK, Basavarajappa D, Godinez A, Di Angelantonio S, Sachdev P, Salekdeh GH, Bouwman F, Graham S, Gupta V. Retinal changes in Alzheimer's disease- integrated prospects of imaging, functional and molecular advances. Prog Retin Eye Res 2020; 82:100899. [PMID: 32890742 DOI: 10.1016/j.preteyeres.2020.100899] [Citation(s) in RCA: 72] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Revised: 08/24/2020] [Accepted: 08/27/2020] [Indexed: 12/31/2022]
Abstract
Alzheimer's Disease (AD) is a devastating neurodegenerative disorder of the brain, clinically characterised by cognitive deficits that gradually worsen over time. There is, at present, no established cure, or disease-modifying treatments for AD. As life expectancy increases globally, the number of individuals suffering from the disease is projected to increase substantially. Cumulative evidence indicates that AD neuropathological process is initiated several years, if not decades, before clinical signs are evident in patients, and diagnosis made. While several imaging, cognitive, CSF and blood-based biomarkers have been proposed for the early detection of AD; their sensitivity and specificity in the symptomatic stages is highly variable and it is difficult to justify their use in even earlier, pre-clinical stages of the disease. Research has identified potentially measurable functional, structural, metabolic and vascular changes in the retina during early stages of AD. Retina offers a distinctively accessible insight into brain pathology and current and developing ophthalmic technologies have provided us with the possibility of detecting and characterising subtle, disease-related changes. Recent human and animal model studies have further provided mechanistic insights into the biochemical pathways that are altered in the retina in disease, including amyloid and tau deposition. This information coupled with advances in molecular imaging has allowed attempts to monitor biochemical changes and protein aggregation pathology in the retina in AD. This review summarises the existing knowledge that informs our understanding of the impact of AD on the retina and highlights some of the gaps that need to be addressed. Future research will integrate molecular imaging innovation with functional and structural changes to enhance our knowledge of the AD pathophysiological mechanisms and establish the utility of monitoring retinal changes as a potential biomarker for AD.
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Affiliation(s)
- Veer B Gupta
- School of Medicine, Deakin University, VIC, Australia
| | - Nitin Chitranshi
- Faculty of Medicine Health and Human Sciences, Macquarie University, North Ryde, NSW, 2109, Australia
| | - Jurre den Haan
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands
| | - Mehdi Mirzaei
- Faculty of Medicine Health and Human Sciences, Macquarie University, North Ryde, NSW, 2109, Australia
| | - Yuyi You
- Faculty of Medicine Health and Human Sciences, Macquarie University, North Ryde, NSW, 2109, Australia
| | - Jeremiah Kh Lim
- Optometry and Vision Science, College of Nursing and Health Sciences, Bedford Park, South Australia, 5042, Australia
| | - Devaraj Basavarajappa
- Faculty of Medicine Health and Human Sciences, Macquarie University, North Ryde, NSW, 2109, Australia
| | - Angela Godinez
- Faculty of Medicine Health and Human Sciences, Macquarie University, North Ryde, NSW, 2109, Australia
| | - Silvia Di Angelantonio
- Center for Life Nanoscience, Istituto Italiano di Tecnologia, Rome, Italy; Department of Physiology and Pharmacology, Sapienza University of Rome, Rome, Italy
| | - Perminder Sachdev
- Centre for Healthy Brain and Ageing (CHeBA), School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia; Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, New South Wales, Australia
| | - Ghasem H Salekdeh
- Department of Molecular Systems Biology, Cell Science Research Center, Royan, Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran
| | - Femke Bouwman
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands
| | - Stuart Graham
- Faculty of Medicine Health and Human Sciences, Macquarie University, North Ryde, NSW, 2109, Australia; Save Sight Institute, Sydney University, Sydney, NSW, 2000, Australia.
| | - Vivek Gupta
- Faculty of Medicine Health and Human Sciences, Macquarie University, North Ryde, NSW, 2109, Australia.
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Palanca-Castan N, Harcha PA, Neira D, Palacios AG. Chromatic pupillometry for the characterization of the pupillary light reflex in Octodon degus. Exp Eye Res 2019; 190:107866. [PMID: 31682845 DOI: 10.1016/j.exer.2019.107866] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Revised: 09/06/2019] [Accepted: 10/28/2019] [Indexed: 11/25/2022]
Abstract
The common degu (Octodon degus) is an emerging model in biomedical science research due to its longevity and propensity to develop human-like conditions. However, there is a lack of standardized techniques for this non-traditional laboratory animal. In an effort to characterize the model, we developed a chromatic pupillometry setup and analysis protocol to characterize the pupillary light reflex (PLR) in our animals. The PLR is a biomarker to detect early signs for central nervous system deterioration. Chromatic pupillometry is a non-invasive and anesthesia-free method that can evaluate different aspects of the PLR, including the response of intrinsically photosensitive retinal ganglion cells (ipRGCs), the disfunction of which has been linked to various disorders. We studied the PLR of 12 degus between 6 and 48 months of age to characterize responses to LEDs of 390, 450, 500, 525 and 605 nm, and used 5 with overall better responses to establish a benchmark for healthy PLR (PLR+) and deteriorated PLR (PLR-). Degu pupils contracted up to 65% of their horizontal resting size before reaching saturation. The highest sensitivity was found at 500 nm, with similar sensitivities at lower tested intensities for 390 nm, coinciding with the medium wavelength and short wavelength cones of the degu. We also tested the post-illumination pupillary response (PIPR), which is driven exclusively by ipRGCs. PIPR was largest in response to 450 nm light, with the pupil preserving 48% of its maximum constriction 9 s after the stimulus, in contrast with 24% preserved in response to 525 nm, response driven mainly by cones. PLR- animals showed maximum constriction between 40% and 50% smaller than PLR+, and their PIPR almost disappeared, pointing to a disfunction of the iPRGCs rather than the retinal photoreceptors. Our method thus allows us to non-invasively estimate the condition of experimental animals before attempting other procedures.
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Affiliation(s)
- Nicolas Palanca-Castan
- Centro Interdisciplinario de Neurociencia de Valparaiso, Universidad de Valparaiso, Gran Bretaña 1111, Valparaiso, Chile.
| | - Paloma A Harcha
- Centro Interdisciplinario de Neurociencia de Valparaiso, Universidad de Valparaiso, Gran Bretaña 1111, Valparaiso, Chile
| | - David Neira
- Centro Interdisciplinario de Neurociencia de Valparaiso, Universidad de Valparaiso, Gran Bretaña 1111, Valparaiso, Chile
| | - Adrian G Palacios
- Centro Interdisciplinario de Neurociencia de Valparaiso, Universidad de Valparaiso, Gran Bretaña 1111, Valparaiso, Chile
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Bower MM, Sweidan AJ, Xu JC, Stern-Neze S, Yu W, Groysman LI. Quantitative Pupillometry in the Intensive Care Unit. J Intensive Care Med 2019; 36:383-391. [PMID: 31601157 DOI: 10.1177/0885066619881124] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Quantitative pupillometry provides a noninvasive and objective assessment within the neurological examination. This review details the physiology of the pupillary light response, the clinical significance of changes in pupillary reactivity, and the variables that compose the Neurological Pupil index or NPi are discussed. This article reviews the most recent applications and advances in quantitative pupillometry for noninvasive intracranial pressure monitoring, postcardiac arrest prognostication, and subarachnoid hemorrhage. Also discussed are the limitations and confounders of quantitative pupillometry in the modern neurological intensive care unit.
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Affiliation(s)
- Matthew M Bower
- Department of Neurology, 21769University of California, Irvine, Orange, CA, USA
| | - Alexander J Sweidan
- Department of Neurology, 21769University of California, Irvine, Orange, CA, USA
| | - Jordan C Xu
- Department of Neurology, 21769University of California, Irvine, Orange, CA, USA
| | - Sara Stern-Neze
- Department of Neurology, 21769University of California, Irvine, Orange, CA, USA
| | - Wengui Yu
- Department of Neurology, 21769University of California, Irvine, Orange, CA, USA
| | - Leonid I Groysman
- Department of Neurology, 21769University of California, Irvine, Orange, CA, USA
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Black JM, Jacobs RJ, Phillips JR, Acosta ML. The changing scope of Optometry in New Zealand: historical perspectives, current practice and research advances. J R Soc N Z 2019. [DOI: 10.1080/03036758.2019.1587476] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Joanna M. Black
- School of Optometry and Vision Science, The University of Auckland, Auckland, New Zealand
| | - Robert J. Jacobs
- School of Optometry and Vision Science, The University of Auckland, Auckland, New Zealand
| | - John R. Phillips
- School of Optometry and Vision Science, The University of Auckland, Auckland, New Zealand
| | - Monica L. Acosta
- School of Optometry and Vision Science, The University of Auckland, Auckland, New Zealand
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McAnany JJ, Smith BM, Garland A, Kagen SL. iPhone-based Pupillometry: A Novel Approach for Assessing the Pupillary Light Reflex. Optom Vis Sci 2018; 95:953-958. [PMID: 30234829 PMCID: PMC6166694 DOI: 10.1097/opx.0000000000001289] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2018] [Accepted: 06/10/2018] [Indexed: 11/25/2022] Open
Abstract
SIGNIFICANCE The response of the pupil to a flash of light, the pupillary light reflex (PLR), is an important measure in optometry and in other fields of medicine that is typically evaluated by qualitative observation. Here we describe a simple, portable, iPhone-based pupillometer that quantifies the PLR in real time. PURPOSES The purposes of this study were to describe a novel application that records the PLR and to compare its technical capabilities with a laboratory-based infrared (IR) camera system. METHODS Pupil sizes were measured from 15 visually normal subjects (age, 19 to 65 years) using an IR camera system and the Sensitometer test. This test elicits pupillary constriction using the iPhone flash, records pupil size using the camera, and provides measurements in real time. Simultaneous recordings were obtained with the Sensitometer test and IR camera, and two measures were calculated: (1) dark-adapted steady-state pupil size and (2) minimum pupil size after the flash. The PLR was defined as the difference between these two measures. Pupil size was also recorded during the redilation phase after the flash. Bland-Altman analysis was used to assess the limits of agreement between the two methods. RESULTS Statistically significant correlations between the IR and Sensitometer test measures were found for the PLR (r = 0.91, P < .001) and redilation size (r = 0.65, P = .03). Bland-Altman analysis indicated a mean PLR difference of 6% between these two methods. The PLR limit of agreement was 14%, indicating that 95% of subjects are expected to have IR and Sensitometer test measurements that differ by 14% or less. Bland-Altman analysis indicated a mean redilation size difference of 1% between the two methods; the limit of agreement was 5%. CONCLUSIONS There is excellent agreement between pupil responses recorded using the Sensitometer test and IR camera. The Sensitometer test provides a highly promising approach for simple, portable, inexpensive pupillary measurements.
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Affiliation(s)
| | - Brandon M. Smith
- Department of Computer Sciences, University of Wisconsin–Madison, Madison, Wisconsin
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Tekin K, Sekeroglu MA, Kiziltoprak H, Doguizi S, Inanc M, Yilmazbas P. Static and dynamic pupillometry data of healthy individuals. Clin Exp Optom 2018; 101:659-665. [PMID: 29356077 DOI: 10.1111/cxo.12659] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2017] [Revised: 12/17/2017] [Accepted: 12/18/2017] [Indexed: 08/30/2023] Open
Affiliation(s)
- Kemal Tekin
- Ophthalmology Department, Kars State Hospital, Kars, Turkey,
| | - Mehmet Ali Sekeroglu
- Ophthalmology Department, Ankara Ulucanlar Eye Training and Research Hospital, Ankara, Turkey,
| | - Hasan Kiziltoprak
- Ophthalmology Department, Ankara Ulucanlar Eye Training and Research Hospital, Ankara, Turkey,
| | - Sibel Doguizi
- Ophthalmology Department, Ankara Ulucanlar Eye Training and Research Hospital, Ankara, Turkey,
| | - Merve Inanc
- Ophthalmology Department, Ankara Ulucanlar Eye Training and Research Hospital, Ankara, Turkey,
| | - Pelin Yilmazbas
- Ophthalmology Department, Ankara Ulucanlar Eye Training and Research Hospital, Ankara, Turkey,
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