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Ординатура / Хирургия / Библиотека им академика М.И. Перельмана / Книга_103_библиотеки_им_акад_М_И_Перельмана

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K. G. Pratinya et al.
(a) DeepGlaucoma: This AI uses quantita-
tive measurements of RNFL thickness, optic disc morphology, and macular thickness to predict the likelihood of developing glaucoma.
(b) iWellnessScan: This AI provides a report
summarizing the results and compares the patient’s measurements to a normative database.
(c) Optovue: This AI platform includes the
“Ganglion Cell Complex Map,” which displays the location of the ganglion cell complex in a color-coded map.
(d) Topcon: This AI platform includes the
“Glaucoma Asymmetry Analysis,” which compares the measurements of both eyes to identify asymmetry.
20.6 Conclusion
OCT is an important imaging tool for generat­ing high-resolution cross-sectional images. Medicine and technology keep evolving hand­in-hand. New OCT variants, moving from time­domain acquisition to frequency domain measurement of spectral interference, have facilitated greater acquisition speed and tissue contrast in the images. A patient can be followed over time using their baseline values. Clinicians should understand the limitations of this imag­ing technology and correlate clinically with IOP, ONH, and RNFL appearance, visual eld data, and quantitative data to detect glaucoma and its progression. AI has the potential to revo­lutionize OCT imaging for glaucoma by improv­ing the accuracy of diagnosis, monitoring disease progression, and optimizing treatment options. Further research is needed to develop and validate AI algorithms for clinical use in glaucoma.
Funding Hyderabad Eye Research Foundation.
Disclosure Nil.
References
1. Fercher AF, Drexler W, Hitzenberger CK, Lasser T. Optical coherence tomography—principles and applications. Rep Prog Phys. 2003;66:239.
2. Schuman JS, Hee MR, Arya AV, etal. Optical coher­ence tomography: a new tool for glaucoma diagnosis. Curr Opin Ophthalmol. 1995;6(2):89–95.
3. Chen TC, Cense B, Pierce MC, etal. Spectral domain optical coherence tomography: ultra-high speed, ultra-high resolution ophthalmic imaging. Arch Ophthalmol. 2005;123(12):1715–20.
4. Bouma BE, Yun SH, Vakoc BJ, etal. Fourier-domain optical coherence tomography: recent advances toward clinical utility. Curr Opin Biotechnol. 2009;20(1):111–8.
5. Choma MA, Hsu K, Izatt JA. Swept source optical coherence tomography using an all-ber 1300-nm ring laser source. J Biomed Opt. 2005;10(4):044009.
6. Choma M, Sarunic M, Yang C, Izatt J. Sensitivity advantage of swept source and Fourier domain optical coherence tomography. Opt Express. 2003;11(18):2183–9.
7. Quigley HA, Dunkelberger GR, Green WR.Retinal ganglion cell atrophy correlated with automated perimetry in human eyes with glaucoma. Am J Ophthalmol. 1989;107(5):453–64.
8. Wollstein G, Schuman JS, Price LL, et al. Optical coherence tomography longitudinal evaluation of retinal nerve ber layer thickness in glaucoma. Arch Ophthalmol. 2005;123(4):464–70.
9. Kuang TM, Zhang C, Zangwill LM, et al. Estimating lead time gained by optical coherence tomography in detecting glaucoma before devel­opment of visual eld defects. Ophthalmology. 2015;122(10):2002–9.
10. Dong ZM, Wollstein G, Schuman JS. Clinical utility of optical coherence tomography in glaucoma. Invest Ophthalmol Vis Sci. 2016;57(9):OCT556–67.
11. Gracitelli CPB, Abe RY, Medeiros FA. Spectral­domain optical coherence tomography for glaucoma diagnosis. Open Ophthalmol J. 2015;9:68–77.
12. Rao HL, Kumbar T, Addepalli UK, et al. Effect of spectrum bias on the diagnostic accuracy of spectral­domain optical coherence tomography in glaucoma. Invest Ophthalmol Vis Sci. 2012;53(2):1058–65.
13. Williams DR.Imaging single cells in the living retina. Vis Res. 2011;51(13):1379–96.
14. Kotcharlakota D, Choudhari NS. Role of adap­tive optics in early diagnosis of glaucoma from a Clinician’s perspective. Semin Ophthalmol. 2023;38(1):44–51.
15. Park HY, Jeon SH, Park CK.Enhanced depth imaging detects lamina cribrosa thickness differences in nor­mal tension glaucoma and primary open-angle glau­coma. Ophthalmology. 2012;119:10–20.
20 OCT inGlaucoma
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16. Park SC, De Moraes CG, Teng CC, et al. Enhanced depth imaging optical coherence tomography of deep optic nerve complex structures in glaucoma. Ophthalmology. 2012;119:3–9.
17. Lee EJ, Kim TW, Weinreb RN, etal. Visualization of the lamina cribrosa using enhanced depth imaging spectral-domain optical coherence tomography. Am J Ophthalmol. 2011;152:87–95.
18. Dell’Omo R, Costagliola C, Di Salvatore F, et al. Enhanced depth imaging spectral-domain optical coherence tomography. Retina. 2010;30(2):378–9.
19. Yazdanpanah A, Hamarneh G, Smith B, Sarunic M.Intra-retinal layer segmentation in optical coher­ence tomography using an active contour approach. Med Image Comput Comput Assist Interv. 2009;12(Pt
2):649–56.
20. Xiong J, Li F, Song D, et al. Multimodal machine learning using visual elds and peripapillary circular OCT scans in detection of glaucomatous optic neu­ropathy. Ophthalmology. 2022;129(2):171–80.
Visual Field
AvikK.Roy , RamyashriShastry , andAparnaRao
21
21.1 Introduction
Visual eld testing is indispensable in diagnos­ing and managing glaucoma. Over the past 50years, computerized visual eld testing with standard automated perimetry (SAP) has become the standard method for assessing visual function in glaucoma. SAP measures threshold sensitivity at specic test locations of the subject’s retina using white stimuli on a white background and provides a method for estimating visual eld abnormalities by com­paring these to a normative database. This chapter will briey describe the historical development of the “eld test” and cover important new advances in the technology, technique, and clinical applications.
A. K. Roy Mithu Tulsi Chanrai Campus, L V Prasad Eye Institute, Bhubaneswar, India e-mail: dravik@lvpei.org
R. Shastry Drishti Eye Centre, Hyderabad, India
A. Rao (*) Kallam Anji Reddy Campus, L V Prasad Eye Institute, Hyderabad, India e-mail: aparna@lvpei.org
21.2 History
The visual field test began with Aubert and Forster developing the arc perimeter in the 1860s [1]. It helped map peripheral neurologic and advanced glaucomatous visual field abnor­malities. The first modern kinetic perimetry was described in 1920 [2]. The tangent screen kinetic perimetry was introduced by Traquair a few years later [3]. The “bowl perimeter” design by Goldmann was widely accepted by ophthalmologists by 1945 [4]. The standard­ization of the background illumination and varying degrees of test stimuli remained the clinical benchmark. Since then, automated perimetry has progressed rapidly over the past few decades, courtesy the works of Fankhauser [5], Heijl and Krakau [6], and Flammer etal.[7].
21.3 Current Test
The Humphrey Visual Field Analyzer (HVFA) is the current gold standard of visual eld testing [8]. It includes varying test strategies like the suprathreshold, full-threshold, efcient thresh­old, and the latest SITA (the Swedish Interactive Thresholding Algorithm) [9].
The various test programs are 30-2, 24-2, 10-2, macular, and the most recent, 24-2C pro­gram.There are two numbers for the test; “30”
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024 T. Das, P. Satgunam (eds.), Ophthalmic Diagnostics, https://doi.org/10.1007/978-981-97-0138-4_21
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Fig. 21.1 The locations of the stimuli in the visual eld analysis. Left: in the threshold test “1”, the stimuli are placed 6° apart in the x- and y-axes. Right: in the thresh-
(or 24 and 10) refers to the visual eld 30° extending from the xation; it is 30° in all four directions. Thus, it is 60° of the subject’s visual eld (similarly 48° for “24” and 20° for “10”).
The second number of the test is “2”, which denotes the second pattern of the developed threshold test. It varies from the rst pattern, “1”, by the conguration of the stimuli in the x- and y-axes. In “2”, the stimuli are 3° apart in contrast to the 6° apart in “1” (Fig.21.1).
Thus a “30-2” eld means testing the eld 30° from the xation point in all directions where the stimuli are presented 3° apart. Appropriate changes apply for the 24-2 and 10-2 tests. The normal visual eld is widest horizontally, extend­ing over 90° temporally, 60° nasally and superi­orly, and 70° inferiorly.
old test “2”, the stimuli are placed 3° apart in the x- and y-axes. (Source: http://www.healio.com)
21.4 Technique ofHumphry Visual Field (HVF) Tests
A particular number (based on the “program”) of (usually) white-colored stimuli of a standard size (III or V) but with varying intensity (based on the “strategy”) are presented on a white background of a xed brightness. Each eye is tested one at a time. The subject must click on a mouse to regis­ter a response as and when the subject sees the stimulus. The 30-2, 24-2, 10-2, and macular pro­grams test the central 30° (with 76 points loca­tions), 24° (with 54 points locations), 10° (with 68 points locations), and 5° (with 16 points loca­tions), respectively. The details of the procedures and interpretation of ndings are elaborated in manuals and textbooks (Fig.21.2) [8].
21 Visual Field
Fig. 21.2 The subject sits comfortably facing the dome of the device and places the chin on the chin rest. The room is dimly illuminated (mesopic condition), with the background illumination xed at 31.5 apostilbs. The aver­age time taken for the SITA standard (most commonly used) 24-2 test for one eye is approximately 8–10min
21.5 Technology
245
Fig. 21.3 Central Visual Field. The central most ring (2° of eccentricity) was allotted a weight of 8.0, the sec­ond ring was assigned a weight of 2.5, and the outermost ring was assigned a weight of 2.0
21.5.1.1 Clinical Application
VFI is an extremely useful tool in diagnosing glaucoma and monitoring disease progression. This is also less sensitive to cataract and its removal.
21.5.1 Visual Field Index (VFI)
The HVFA provides the mean deviation (MD) for the 24-2 and 10-2 programs as a global index of the subject’s visual function. This is calculated by averaging the age-corrected threshold sensi­tivities at all test locations after adjusting for the variability of each test location and eccentricity from the fovea. The MD is subject to alterations secondary to any media opacity—most com­monly, the senile cataract that might co-exist with glaucoma. There is a signicant change in MD after cataract surgery in the presence or absence of glaucomatous damage. To address this and other issues, Bengtsson and Heijl [10] described a new global index for 24-2 and 30-2 programs, the Visual Field Index (VFI). It sum­marizes the visual eld information into a num­ber (percentage) that measures the visual eld status and changes over time. The VFI ranges from 100 (normal) to 0 (perimetrically blind).
21.5.2 Central Field Index (CFI)
The VFI is a global measure of the subject’s visual function in the 24 or 30° visual elds. There was no similar analytic tool for the central 10° visual eld. The macula corresponds to only 10° of the visual eld, but it is represented a much larger (approx. 60%) area of the visual cor­tex [11]. Central eld disturbances are signi­cantly related to deterioration in vision-related quality of life [12]. de Moraes etal. [13] intro­duced a novel global index for the central 10° of the visual eld, the Central Field Index (CFI). It follows almost the same methodology as that of Bengtsson and Heijl [10] but divides the 10-2 printout into three smaller concentric rings, instead of ve for the VFI calculation, with increasing weight from the center toward the periphery (Fig.21.3).
These values were obtained from a study by
Qiu etal. [14] on estimating linear cortical mag-
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nication in the human primary visual cortex. Finally, the weighted averages of the CFI value of all 68 test locations of the 10-2 visual eld print­out are calculated for each visual eld examina­tion of each patient’s sequence of 5 or more examinations. The result is a global index that ranges from 0% (central blindness) to 100% (normal central vision). The calculation is pri­marily based on the 10-2 pattern deviation prob­ability plots, already adjusted for diffuse sensitivity loss resulting from media opacities. Hence the discrimination between glaucomatous eld defects and those that result from media opacity, mainly cataract, is relatively easy.
21.5.2.1 Clinical Application
CFI varies less than VFI in stable eyes. Hence, incorporating CFI calculation for monitoring advanced disease in eyes with central defects could be valuable [15]. However, as of now, there is no commercially available software designed specically to detect and measure rates of pro­gression in the central eld.
second check of points in which the test individ­ual did not respond to a stimulus of maximum intensity.
21.5.3.1 Clinical Application
Heijl etal. [16] reported that the SITA Faster test time was 30.4% shorter the SITA Fast and 53.5% shorter than the SITA Standard. Furthermore, there were no differences in MD or VFI between these strategies. However, on comparing the 24-2 SITA Standard and SITA Faster, Phu etal. [17] reported that the latter was signicantly less reli­able, mainly due to high false- positive rates and a type of artifact the authors named as “seeding point errors.” These are errors in determining threshold sensitivity in the initial phase of the visual eld when the four cardinal locations were tested. Despite these shortcomings, SITA Faster can be considered when frequent visual eld test­ing and more data are desired.
21.5.4 The 24-2C SITA Faster Algorithm
21.5.3 Swedish Interactive Thresholding Algorithm (SITA) Faster
In the late 1990s, two modes of Swedish Interactive Thresholding Algorithm (SITA) were introduced: the SITA Standard and SITA Fast (Fig.21.4) [9]. The SITA Faster (Fig.21.5) was introduced in 2019 by Heijl etal. [16] to expedite testing time without compromising the quality.
Seven adjustments were made to the SITA Fast algorithm. These were: (1) the use of age­corrected normal threshold values for starting stimulus intensity (without conventional stair­case method for cardinal points), (2) requiring only one staircase test reversal at primary test points, (3) using the distribution of SITA Fast normal values to determine when testing can stop at each test point location, (4) performing no false-negative catch trials, (5) rechecking the physiologic blind spot, (6) accounting for the delay in stimulus timing, and (7) performing a
An accumulating body of evidence demon­strates that the retinal ganglion cells residing in the macula are lost, even in the early stages of glaucoma, and this has important clinical impli­cations [18]. Detection of central visual eld loss is therefore important in the management of glaucoma although it is unclear whether patients should be evaluated with dedicated 10-2 visual eld tests instead of or in addition to 24-2 visual eld tests. The 24-2 visual eld test points are spaced 6° apart, with 13 points in the central 10° when foveal sensitivity is included. On the contrary, 10-2 visual eld test points are spaced 2° apart, with 68 points in the central 10°. Therefore, the 24-2 test may not detect central damage that would have other­wise been detected with 10-2 visual elds [19]. Moraes etal. [20] found that 61.5% of glauco­matous eyes and 39.5% of glaucoma- suspect eyes had depressed points on 10-2 tests, which were earlier considered normal on cluster crite­ria on the 24-2 tests.
21 Visual Field
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Fig. 21.4 SITA Fast. An HVF single eld printout of a 25-year-old subject’s right eye, with reliable indices, with the 24-2 program and the SITA Fast strategy showing sig-
21.5.5 Technology
Leveraging the time saved using the SITA Faster algorithm, ten additional testing loca­tions are added in the central 10° in the 24-2C
nicantly depressed points in both, the total deviation and pattern deviation maps (the total duration of the test was 3min and 26s)
SITA Faster algorithm (Fig.21.6). Preliminary studies have shown that the 24-2C SITA Faster is 18.3% faster than the 24-2 SITA Fast, but
17.5% slower than the 24-2 SITA Faster in glaucoma [21].
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Fig. 21.5 SITA FASTER. An HVF single eld printout of a 25-year-old subject’s right eye, with reliable indices, with the 24-2 program and the SITA Faster strategy show­ing signicantly depressed points in both, total deviation
21.5.5.1 Clinical Application
In a larger, prospective cross-sectional study, Phu etal. [22] compared global visual eld indices, test duration, and pattern standard deviation
and pattern deviation maps (more than the previously demonstrated SITA Fast). The total duration of the test was 3min and 29s
results of glaucoma patients and glaucoma sus­pects who underwent both, the 24-2 and 24-2C SITA Faster tests. In their study, the 24-2C SITA Faster and 24-2 SITA obtained similar global
21 Visual Field
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Fig. 21.6 The SITA Faster 24-2C HVF single eld print­out of a 23-year-old subject’s right eye, with reliable indi­ces, with the 24-2C program and SITA Faster strategy,
indexes, but the former test identied more clus­ters of central defects (though this was not statistically signicant). Thus, the 24-2C SITA
showing few scattered non-signicantly depressed points in both, total and pattern deviation maps. The total dura­tion of the test was 2min and 38s
Faster may be a reasonable alternative when cen­tral defects are suspected. It can be done to avoid performing 10-2 tests routinely.
250
21.6 Recent Advances inOctopus
Perimetry
The rst automated static perimeter, the Octopus 201, was developed by Franz Fankauser and colleagues in 1974 [23]. Since then, various improvements have been made to the original test, such as the G program, M pro­gram, direct projection system, and different testing strategies with software to analyze early progression on visual elds, as elaborated in the user manual (Octopus Digest, 8th Edition [23]). Recent studies report that the HFA and Octopus have similar efcacies and perfor­mance [24]. The newer Octopus 900 offers sev­eral technical advancements over the earlier Octopus 600 model; it has static and kinetic perimetry algorithms and seamless integration with the patented EyeSuite Software for more effective data analysis.
21.7 Home-Based Portable
Perimeter
Portable perimeters are visual eld-testing devices that are lightweight, compact, and easily transportable. These are ideal for use in remote or underserved areas with limited access to spe­cialized eye care equipment. Portable perimeters are typically battery-powered and may use dif­ferent stimuli, such as white or colored lights, to test the patient’s visual eld. They may also use different testing strategies, such as static or kinetic perimetry. Portable perimeters offer sev­eral advantages over traditional tabletop perim­eters, including greater exibility and portability, reduced cost, and the ability to perform visual eld testing in various settings. These are also ideal for screening programs, where many patients must be tested quickly and efciently. The limitations of these include limited testing range and the need for frequent calibration and maintenance. Currently, three platforms are available for portable perimeters, namely, tablet­based, laptop- based, and head-mounted virtual reality.
A. K. Roy et al.
Fig. 21.7 This is a representative picture of a portable perimeter that enables visual eld testing on portable tab­let devices
21.7.1 Tablet-Based or iPad-Based Perimetry
Tablet/iPad-based perimetry involves using a tab­let or smartphone with a specialized application to perform visual eld testing (Fig.21.7). While these are portable, exible, and less expensive, their limitations include reduced testing accuracy and the need for frequent calibration and maintenance.
Some examples of tablet-based/smartphone-
based perimeters used in glaucoma are:
(a) Visual Fields Easy (VFE) [25]: Designed
by Konan Medical, it uses a standardized testing protocol and provides a range of test­ing options, including threshold and supra­threshold perimetry. The VFE runs on a small smartphone screen (iPhone) which must be held steady in the hands throughout the test. The VFE is a reliable and effective tool for glaucoma telescreening. The average testing time is under 3min.
(b) Peristat [26] is an online visual eld test. It
is based on Adobe/Flash technology and runs on a web browser.
(c) Melbourne Rapid Fields (MRF) [27]: This
iPad-based perimetry app is reportedly simi­lar to the SITA Fast in speed, with an intra­class coefcient value of 0.7–0.88 over 6months of follow-up visits. The MRF tests 66 locations over 28° × 18° by having the