Abstract
Purpose
The aim of our research was to investigate the reliability and clinical applicability of a modern tear film imaging tool by comparing the inter- and intragrader difference. The further goal was to compare the non-invasive tear break-up time (NIBUT) measured with the LacryDiag® device with traditional tear film break-up time (TBUT).
Methods
Comprehensive ophthalmological examination was performed, including LacryDiag® (Quantel Medical, France) (lower tear meniscus height measuring (LTMH), superior and inferior eyelid meibography (MeibS MeibI), interferometry (INT), NIBUT), slit lamp examination, and TBUT. Two independent, well-trained graders selected and analyzed the LTMH, MeibI, MeibS, and INT. The second grader reanalyzed the data 1 month later. Intra- and inter-examiner reliabilities were evaluated using intraclass correlation coefficients (ICC), while for categorical variable, Cohen’s kappa statistics were provided. The Bland-Altman plot was used for visualization of the agreement between measurements.
Results
Fifty healthy volunteers were examined. For LTMH both the inter- and intragrader variabilities were excellent. Between two graders, the ICC of MeibI was poor; however, between two graders, the ICC of MeibS was good, and the intragrader variability in MeibI and MeibS was excellent. For the INT, both intra- and intergrading were in fair and moderate agreement, although the intragrader agreement was higher. Comparing the NIBUT and TBUT, the agreement was slight.
Conclusion
Based on our results, examination of a patient during follow-up should be performed by the same examiner, because of the slight agreement. The LacryDiag® is a non-invasive, easy-to-use device, which can examine the tear film and save the recordings for easier follow-up.
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Introduction
Dry eye disease (DED) is a common ocular disorder occurring worldwide. It is characterized by tear film instability and hyperosmolarity, inflammation, and consequent damage to the ocular surface. The 2017 Dry Eye Work Shop (DEWS) II report provided the following DED definition: “Dry eye is a multifactorial ocular surface disease characterized by loss of tear film homeostasis associated with ocular symptoms, in which tear film instability and hyperosmolarity, inflammation and ocular surface lesions, as well as neurosensory abnormalities play etiologic roles” [1]. The global prevalence in the adult population ranges from 5–7% in the USA to 30–50% in the Far East and Africa [2]. The prevalence in Europe lies in the middle of the range [3,4,5,6]. Concomitant signs of a dry eye (redness, burning sensation, photosensitivity, and excessive lacrimation upon external effect) are one of the most frequent reasons for patients to see an eye care practitioner. The disease mostly affects the middle-aged and older population, but the incidence is rising among the youth [1, 7, 8]. As a consequence, clear vision is compromised, quality of life is decreasing, and work productivity is declining [7, 9]. For these reasons, it is crucial for ophthalmologists to recognize the signs of DED by applying reliable diagnostic methods.
The diagnosis of the worldwide extremely common DED is based on the subjective complaints which can be quantified by the ocular surface–disease index (OSDI) questionnaire and is confirmed by examination with slit and focal light. Further diagnostic tests include Schirmer test; tear film break-up time (BUT); staining with fluorescein, bengal rose, and lissamine green; crystallization test; tear film osmolarity; and semiquantitative tear film interferometry. These methods can detect changes in the quality and quantity of components of tear film [10].
The novel LacryDiag® (Quantel Medical, France) device can diagnose dry eye disease with numerous non-contact exams, such as measuring the lower tear meniscus height (LTMH), superior (MeibS) and inferior (MeibI) eyelid meibography, tear interferometry (INT), and non-invasive tear film break-up time (NIBUT) (Fig. 1). There are some additional exams that can be used for dry eye diagnosis, e.g., blepharitis and demodex imaging, bulbar redness, staining (corneal, conjunctiva, and lid margin), pupillometry, white to white measurement, and corneal deformation. LTMH, MeibS, MeibI, INT. and NIBUT comply with the criteria of the TFOS DEWS 2 report; hence, these non-contact examinations were evaluated in this study [11].
The aim of our research was to investigate the reliability and clinical applicability of a modern tear film imaging tool by comparing the inter- and intragrader difference. A further goal was to investigate if modern diagnostic tools are different from conventional reference methods; hence, the NIBUT measured with the LacryDiag® device was compared to TBUT.
Material and methods
Study participants
Fifty healthy volunteers were enrolled in this study from the Department of Ophthalmology, University of Pécs, Medical School, in accordance with the Declaration of Helsinki. The study was approved by the Institutional Ethics Committee. Subjects had no past or current history of any general or ocular diseases, and no participant had a history of contact lens wear intraocular or any type of refractive surgery. The mean age of volunteers was 27.15±1.36 years; their gender was 20 male and 30 female.
Ophthalmological examination
Comprehensive ophthalmological examination was carried out, including LacryDiag® (Quantel Medical, France), slit lamp examination, and TBUT. The TBUT was performed at least 5 min after the LacryDiag® examination [12].
The LacryDiag® examination and TBUT measurement were performed by one well-trained examiner. Two independent, well-trained graders selected and analyzed the LTMH, the MeibS, the MeibI, and the INT. The second grader reanalyzed the data 1 month later [13].
The procedure took approximately 10 min to perform, and none of the subjects complained of pain, inconvenience, or visual disturbance.
Measuring the height of the tear meniscus gives a quantitative assessment of the aqueous phase. The majority of tear is comprised within the menisci; this is the margin part of the upper and lower eyelids meeting the bulbar conjunctiva [14]. The quantitative analysis of the tear menisci is the most direct approach to study the volume of the tear film [6, 7]. The LacryDiag® device performs the measurement of LTMH semi-automatically with two calipers placed by the observer on the lacrimal river. The average of five measurements was used for the analysis.
During meibography, the silhouette of the glands on the inner surface of the eyelids is visualized and analyzed by selecting a given area to calculate the percentage of meibomian glands loss. The technique is based on white-light transillumination of everted eyelids from the skin aspect [15]. With this semi-automatic method, the search area is drawn by the examiner, and the meibomian glands loss area is given by the device.
Tear interferometry is a qualitative and quantitative analysis of the lipid layer. Oily substances spreading in a thin layer on the surface of water can be detected by this method [15]. Based on the reflection pattern and kinetics of the oily phase, the thickness of lipid layer could be evaluated. This component of tear film is mostly produced by the meibomian glands [16]. Interferometry is measured with LacryDiag® device comparing the actual patient’s video recording with a grading scale (seven of predefined videos).
Since it is well known that tear film stability can be affected by many external factors, NIBUT has become more and more commonly applied [15, 17]. The NIBUT determines tear film stability by means of the extent of evaporation. This method is based on observation of the reflection of an illuminated grid pattern from the tear film [18]. NIBUT software automatically detects blinks, records the interblink interval, and calculates the NIBUT result. According to the manual, if the interblink interval reaches 12 s, the recording should be stopped. Since the examiner’s task is limited to starting and stopping the recording and does not involve grading, there was no need to compare inter- or intragrader agreement. Instead, NIBUT was compared with standard TBUT. Reference values of NIBUT and TBUT used a cut-off time of 10 s [19,20,21,22,23,24]; however, 12-s cut-off at NIBUT and 8-s cut-off at TBUT showed better diagnostic ability [20]. Cut-off times of 10 s for both NIBUT and TBUT, as well as 12 s for NIBUT and 8 s for TBUT, were used here. For statistical analysis, an ordinal scale was used to decrease statistical aberration.
Statistical analysis
Statistical analysis was carried out using Intercooled Stata for Windows (version 13.0). The data of the right eyes were used. Intraclass correlation coefficients (ICC)—consistency (without cut-off value)—and their 95% confidence intervals (CI) were also provided to estimate intra- and inter-examiner reliability at LTMH, MeibS, and MeibI. An ICC below 0.4 indicates poor reliability, an ICC between 0.4 and 0.59 indicates fair reliability, an ICC between 0.6 and 0.74 indicates good reliability, and an ICC between 0.75 and 1.0 indicates excellent reliability [25]. To assess the agreement in INT, and between NIBUT and TBUT, weighted Cohen’s kappa statistic was used as they had ordinal categories. The interpretation of Cohen’s kappa under 0.2 indicates slight agreement, 0.21 to 0.40 indicates fair agreement, 0.41–0.60 indicates moderate agreement, 0.61–0.80 indicates substantial agreement, and 0.81 to 1.0 indicates almost perfect agreement [26]. The Bland-Altman plot was used for visualization of the agreement between measurements, and 95% limits of agreement (LoA) was also calculated as mean±1.95 standard deviation (SD) of the difference. In these plots, a medium line indicates the mean difference between the devices, and the upper and lower lines show the 95% LoA values [27]. A p-value < 0.05 was considered statistically significant.
Results
The examined fifty healthy volunteers’ descriptive data are shown in Table 1. Measuring TBUT, 15.6% of the volunteers were below 8 s of TBUT, and 28.12% of the volunteers were under 10 s of TBUT. Measuring NIBUT, 28.12% of the study subjects were under 10 s of NIBUT, and 75% of them were below 12 s of NIBUT.
For LTMH both the inter- and intragrader variabilities were excellent (intergrader ICC = 0.805, intragrader ICC= 0.868). Between two graders, the ICC of MeibI was poor (MeibI ICC=0.464); however, between two graders, the ICC of MeibS was good (MeibS ICC=0.666), and the intragrader variability in MeibI and MeibS were excellent (MeibI ICC=0.760; MeibS ICC=0.771) (all p values were <0.001) (Table 2). The Bland-Altman plots for LTMH, MeibI, and MeibS showed high variability of LoA for all parameters between the groups (Table 2; Figs. 2, 3, and 4).
Bland-Altman plots showing the agreement between inter- (a) and intragraders (b) measuring low tear meniscus height. The dots represent the differences from the mean value, the continuous line illustrates the mean value, the dotted line depicts the −1.96 standard deviation (SD), and the broken line is for +1.96 SD. Intercooled Stata for Windows (version 13.0) and Microsoft Excel (version 16.0) were used to create the figure
Bland-Altman plots showing the agreement between inter- (a) and intragraders (b) measuring Meibomian gland loss in the lower eyelid. The dots represent the differences from the mean value, the continuous line illustrates the mean value, the dotted line depicts the −1.96 standard deviation (SD), and the broken line is for +1.96 SD. Intercooled Stata for Windows (version 13.0) and Microsoft Excel (version 16.0) were used to create the figure
Bland-Altman plots showing the agreement between inter- (a) and intragraders (b) measuring Meibomian gland loss in the upper eyelid. The dots represent the differences from the mean value, the continuous line illustrates the mean value, the dotted line depicts the −1.96 standard deviation (SD), and the broken line is for +1.96 SD. Intercooled Stata for Windows (version 13.0) and Microsoft Excel (version 16.0) were used to create the figure
Grading the INT, both intra- and intergrading were in fair and moderate agreement (INT intergrader value=0.301; p=0.0002; INT intragrader value=0.566; p<0.001), although the intragrader agreement was higher (Table 3). The Bland-Altman plots for INT showed high variability of LoA for all parameters between the groups (Table 3; Fig. 5).
Bland-Altman plots showing the agreement between inter- (a) and intragraders (b) examining interferometry. The dots represent the differences from the mean value, the continuous line illustrates the mean value, the dotted line depicts the −1.96 standard deviation (SD), and the broken line is for +1.96 SD. Intercooled Stata for Windows (version 13.0) and Microsoft Excel (version 16.0) were used to create the figure
Comparing the NIBUT and TBUT, all agreements were slight (NIBUT cut-off 12 s, TBUT 8 s: kappa coefficient =0.075; p=0.099; NIBUT and TBUT cut-off 10 s: kappa coefficient =0.054; p=0.376) (Table 3).
Discussion
The parameters analyzed in our study can be measured by several other methods. The advantage of LTMH is that the tear meniscus over the lower eyelid is readily visualized. The traditional way to measure LTMH is an examination with a slit lamp equipped with a micrometer scale; slit lamp photographs can be objectively analyzed.
Additional methods for measuring LTMH include optical coherence tomography (OCT), fundus camera, and Tearscope ® (Keeler, Windsor, UK). Fodor et al. found that there is no difference between the mean measured LTMH with Tearscope ®, slit lamp, and slit lamp with fluorescein, but the repeatability is better with the Tearscope ® device [28]. OCT is an imaging modality based on the quantity of reflected light from tissues; Wang et al. stated that OCT is a multifaceted technique to measure LTMH because it provides a real-time, non-invasive, high-quality image, although the mean value can be higher than that obtained by the traditional methods and the repeatability of the measurement is unfavorable [29]. Kawai et al. applied fundus camera to take pictures of the anterior surface of the eye. This method proved to be a useful and simple way to diagnose and follow-up DED because it measures not only the lower but the upper tear meniscus height too [30]. The LacryDiag® device evaluates LTMH semi-automatically based on the average of five estimations. In our study, this mechanism provides an excellent inter- and intragrader variability for LTMH. Therefore, this parameter can be used by any practitioner for follow-up, although the Bland-Altman plot showed high variability of LoA, which means disagreement between inter-and intragrader measurements.
Meibography is a useful tool when a Meibomian gland dysfunction is suspected, but to establish its diagnostic value, more accomplished studies are required [15]. Meibography should be used when accompanied by other parameters, e.g., interferometric values. There are various scoring scales, e.g., meiboscore, that can be practical and reliable in clinical practice because they are highly repeatable [31]. The traditional technique for meibography used white-light transillumination of the inner side of the eyelids and imaging based on black-and-white film, infrared film, or a near-infrared charge-coupled device (CCD) video camera. Arita et al. designed a non-invasive, slit lamp-based meibography system that involves an infrared filter and an infrared CCD video camera. This method provides faster imaging than other systems.
Technological advances facilitated meibography through the use of more modern, LED (light-emitting diode)-based, multifunctional devices connected to computers [15]. The LacryDiag® device uses an infrared imaging method of Meibomian glands and image analysis by automatic boundary detection and manual corrections if necessary. The color-coded graphic illustration allows fast interpretation of all four tests that can be implemented by LacryDiag®. In our study, the intergrader variable for MeibI was unsatisfactory; however, for MeibS it was fine. The intragrader variability for both MeibI and MeibS was great. The Bland-Altman plot showed high variability of LoA referring to poor agreement between inter-and intragrader measurements. As a consequence, this parameter should be assessed by the same practitioner for follow-up.
Interferometry is a popular diagnostic tool, because it is non-invasive, quick, and technician-friendly. Recently new devices were developed to measure INT, e.g., Tearscope Plus®, TearScience®, LipiView®. Tearscope Plus® uses wideband illumination to image the dynamics of the lipid layer of the tear film [15, 32]. LipiView® (TearScience Inc., Morrisville, NC) using Ocular Surface Interferometer (OSI) provides a great color presentation and image quality and has the potential to be an advantageous device in clinical practice [15, 33]. Goto et al. generated an algorithm for the DR-1 tear interference camera (Kowa, Nagoya, Japan) to measure lipid layer thickness from fringe patterns [15, 30]. Very recently, the lateral shearing interferometer has been proposed for research purposes; it uses fast Fourier transformation to analyze surface irregularities in the tear film [15]. The LacryDiag® device assesses interferometry by comparing patient’s recording with a grading scale of predefined videos. Calculating both intra- and intergrader variability, we can say that this tool provided decent agreement for INT; however, the value for intragrader variability was higher. On this account, the follow-up is more recommended to do by the same practitioner on one patient. The high variability of LoA based on the Bland-Altman plot also confirms this conclusion, because it means heterogeneity between inter- and intragrader measurements.
Although NIBUT is becoming increasingly applied, TBUT remains the most frequently employed test [15]. There are many ways to measure this parameter. Observation of reflection of an illuminated grid pattern from the tear film can be applied to measure NIBUT. More modern solutions involve image analysis of Placido’s disk with certain kinds of corneal topography systems attached to specific software. There are automated evaluation techniques of tear film stability, e.g., the Keratograph (Oculus, Wetzlar, Germany). This device detects and localizes tear break-up time with high-speed videokeratoscopy estimating the variance of the rings detected radially from the center of the image. It was further processed by Downie et al. using the E300 corneal topographer (Medmont International Pty Ltd., Victoria, Australia) to evaluate tear film surface quality break-up time with an algorithm that removes images with excessive movement and perceives shadows appearing because of the eyelashes [15, 17]. According to different studies, the values in these non-invasive methods better reflect tear film stability than those involving fluorescein [18, 34]. The LacryDiag® device applies automatic NIBUT measuring by analysis of reflected Placido disk images from the ocular surface. The NIBUT measurements by this modern tool led to slight agreement with the use of the traditional method; therefore, it is beneficial to use the same method for the follow-up of each patient.
The intragrader variabilities of LTMH, MeibI, and MeibS were excellent. The intergrader variability of LTMH was excellent, but the intergrader variability of MeibI and MeibS was poor and good, respectively. The agreement of INT examinations was fair (intergrader) and moderate (intragrader). Therefore, based on these results, the patients’ follow-up examinations for LTMH, MeibI, MeibS, and INT should be done by the same eye care practitioner. However, due to the slight agreement comparing NIBUT with TBUT, it is worthwhile to perform the follow-up using the same method.
There are some limitations in the present study. In the future, we plan to compare and analyze our results from the healthy subjects with DED patients, the real target group of this diagnostic tool. In addition, LacryDiag® tear diagnostic method comparisons should be organized with more intergrader observer examinations and increased healthy and DED subject numbers to draw stronger conclusions about this novel diagnostic device.
In conclusion, the LacryDiag® is a non-invasive, easy-to-use device, which can examine the tear film, with saving of the recordings for easier follow-up.
Availability of data and material (data transparency)
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References
Craig JP, Nelson JD, Azar DT, Belmonte C, Bron AJ, Chauhan SK, de Paiva CS, Gomes JAP, Hammitt KM, Jones L, Nichols JJ, Nichols KK, Novack GD, Stapleton FJ, Willcox MDP, Wolffsohn JS, Sullivan DA (2017) TFOS DEWS II Report Executive Summary. Ocul Surf 15:802–812
Stapleton F, Alves M, Bunya VY, Jalbert I, Lekhanont K, Malet F, Na KS, Schaumberg D, Uchino M, Vehof J, Viso E, Vitale S, Jones L (2017) TFOS DEWS II Epidemiology Report. Ocul Surf 15:334–365
Uchino M, Schaumberg DA (2013) Dry eye disease: impact on quality of life and vision. Curr Ophthalmol Rep 1:51–57. https://doi.org/10.1007/s40135-013-0009-1
Wang MTM, Craig JP (2019) Natural history of dry eye disease: perspectives from inter-ethnic comparison studies. Ocul Surf 17:424–433
Song P, Xia W, Wang M, Chang X, Wang J, Jin S, Wang J, Wei W, Rudan I (2018) Variations of dry eye disease prevalence by age, sex and geographic characteristics in China: a systematic review and meta-analysis. J Glob Health 8:020503. https://doi.org/10.7189/jogh.08.020503
Akowuah PK, Kobia-Acquah E (2020) Prevalence of dry eye disease in Africa: a systematic review and meta-analysis. Optom Vis Sci 97:1089–1098. https://doi.org/10.1097/OPX.0000000000001610
Radomska-Leśniewska DM, Osiecka-Iwan A, Hyc A, Góźdź A, Dąbrowska AM, Skopiński P (2019) Therapeutic potential of curcumin in eye diseases. Cent Eur J Immunol 44:181–189. https://doi.org/10.5114/ceji.2019.87070
Gupta PK, Asbell P, Sheppard J (2019) Current and future pharmacological therapies for the management of dry eye. Eye Contact Lens 46(Suppl 2):S64–S69. https://doi.org/10.1097/ICL.0000000000000666
Patel VD, Watanabe JH, Strauss JA, Dubey AT (2011) Work productivity loss in patients with dry eye disease: an online survey. Curr Med Res Opin 27:1041–1048. https://doi.org/10.1185/03007995.2011.566264
Kojima T, Dogru M, Kawashima M, Nakamura S, Tsubota K (2020) Advances in the diagnosis and treatment of dry eye. Prog Retin Eye Res. 100842. https://doi.org/10.1016/j.preteyeres.2020.100842
Quantel Medical. https://www.quantel-medical.com/products/ophthalmology/dry-eye/lacrydiag-en. Accessed 17 Sept 2020
Saleh TA, McDermott B, Bates AK, Ewings P (2006) Phenol red thread test vs Schirmer’s test: a comparative study. Eye 20:913–915. https://doi.org/10.1038/sj.eye.6702052
Jain RK, Mehta R, Dimitrov R, Larsson LG, Musto PM, Hodges KB, Ulbright TM, Hattab EM, Agaram N, Idrees MT, Badve S (2011) Atypical ductal hyperplasia: interobserver and intraobserver variability. Mod Pathol 24:917–923. https://doi.org/10.1038/modpathol.2011.66
Mainstone JC, Bruce AS, Golding TR (1996) Tear meniscus measurement in the diagnosis of dry eye. Curr Eye Res 15:653–661. https://doi.org/10.3109/02713689609008906
Wolffsohn JS, Arita R, Chalmers R, Djalilian A, Dogru M, Dumbleton K, Gupta PK, Karpecki P, Lazreg S, Pult H, Sullivan BD, Tomlinson A, Tong L, Villani E, Yoon KC, Jones L, Craig JP (2017) TFOS DEWS II Diagnostic Methodology report. Ocul Surf 15:539–574
Craig JP, Tomlinson A (1997) Importance of the lipid layer in human tear film stability and evaporation. Optom Vis Sci 74:8–13. https://doi.org/10.1097/00006324-199701000-00014
Downie LE (2015) Automated tear film surface quality breakup time as a novel clinical marker for tear hyperosmolarity in dry eye disease. Investig Ophthalmol Vis Sci 56:7260–7268. https://doi.org/10.1167/iovs.15-17772
Wang MTM, Jaitley Z, Lord SM, Craig JP (2015) Comparison of self-applied heat therapy for meibomian gland dysfunction. Optom Vis Sci 92:e321–e326. https://doi.org/10.1097/OPX.0000000000000601
Lemp MA, Hamill JR (1973) Factors affecting tear film breakup in normal eyes. Arch Ophthalmol 89:103–105. https://doi.org/10.1001/archopht.1973.01000040105007
Vidas Pauk S, Petriček I, Jukić T, Popović-Suić S, Tomić M, Kalauz M, Jandroković S, Masnec S (2019) Noninvasive tear film break-up time assessment using handheld lipid layer examination instrument. Acta Clin Croat 58:63–71. https://doi.org/10.20471/acc.2019.58.01.09
Nichols JJ, Nichols KK, Puent B, Saracino M, Mitchell GL (2002) Evaluation of tear film interference patterns and measures of tear break-up time. Optom Vis Sci 79:363–369. https://doi.org/10.1097/00006324-200206000-00009
Bron AJ, Abelson MB, Ousler G, Pearce E, Tomlinson A, Yokoi N, Smith JA, Begley C, Caffery B, Nichols K, Schaumberg D, Schein O, Calonge M, Baudouin C, Goto E, Grus F, Paugh J (2007) Methodologies to diagnose and monitor dry eye disease: report of the diagnostic methodology subcommittee of the International Dry Eye Workshop (2007). In: Ocular Surface. ETHIS COMMUNICATIONS, INC., pp 108–152
Abelson MB, Ousler GW, Nally LA, Welch D, Krenzer K (2002) Alternative reference values for tear film break up time in normal and dry eye populations. In: Advances in Experimental Medicine and Biology. pp 1121–1125
Bhandari V, Reddy JK, Relekar K, Ingawale A, Shah N (2016) Non-invasive assessment of tear film stability with a novel corneal topographer in Indian subjects. Int Ophthalmol 36(6):781–790. https://doi.org/10.1007/s10792-016-0186-7
Cicchetti DV (1994) Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. Psychol Assess 6(4):284–290. https://doi.org/10.1037/1040-3590.6.4.284
McHugh ML (2012) Interrater reliability: the kappa statistic. Biochem Med 22:276–282. https://doi.org/10.11613/bm.2012.031
Bland JM, Altman DG (1990) A note on the use of the intraclass correlation coefficient in the evaluation of agreement between two methods of measurement. Comput Biol Med 20:337–340. https://doi.org/10.1016/0010-4825(90)90013-F
Fodor E, Hagyó K, Resch M, Somodi D, Németh J (2010) Comparison of Tearscope-plus versus slit lamp measurements of inferior tear meniscus height in normal individuals. Eur J Ophthalmol 20:819–824. https://doi.org/10.1177/112067211002000502
Wang J, Aquavella J, Palakuru J, Chung S, Feng C (2006) Relationships between central tear film thickness and tear menisci of the upper and lower eyelids. Investig Ophthalmol Vis Sci 47:4349–4355. https://doi.org/10.1167/iovs.05-1654
Kawai M, Yamada M, Kawashima M, Inoue M, Goto E, Mashima Y, Tsubota K (2007) Quantitative evaluation of tear meniscus height from fluorescein photographs. Cornea 26:403–406. https://doi.org/10.1097/ICO.0b013e318033c242
Nichols JJ, Berntsen DA, Mitchell GL, Nichols KK (2005) An assessment of grading scales for meibography images. Cornea 24:382–388. https://doi.org/10.1097/01.ico.0000148291.38076.59
Guillon M, Styles E, Guillon JP, Cécile Maïssa M (1997) Preocular tear film characteristics of nonwearers and soft contact lens wearers. Optom Vis Sci 74:273–279. https://doi.org/10.1097/00006324-199705000-00022
Blackie CA, Solomon JD, Scaffidi RC, Greiner JV, Lemp MA, Korb DR (2009) The relationship between dry eye symptoms and lipid layer thickness. Cornea 28:789–794. https://doi.org/10.1097/ICO.0b013e318191b870
Patel S, Murray D, McKenzie A, Shearer DS, McGrath BD (1985) Effects of fluorescein on tear breakup time and on tear thinning time. Optom Vis Sci 62:188–190. https://doi.org/10.1097/00006324-198503000-00006
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Tóth, N., Szalai, E., Rák, T. et al. Reliability and clinical applicability of a novel tear film imaging tool. Graefes Arch Clin Exp Ophthalmol 259, 1935–1943 (2021). https://doi.org/10.1007/s00417-021-05162-8
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DOI: https://doi.org/10.1007/s00417-021-05162-8