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Journal of Optometry logoLink to Journal of Optometry
. 2021 Nov 1;15(1):88–99. doi: 10.1016/j.optom.2021.04.001

Lens-vault analysis and its correlation with other biometric parameters using swept-source OCT

Pedro Tañá-Rivero a, Ramón Ruiz-Mesa a, Salvador Aguilar-Córcoles a, Cristina Tello-Elordi a, María Ramos-Alzamora a, Robert Montés-Micó a,b,
PMCID: PMC8712587  PMID: 34736867

Abstract

Purpose

To measure lens vault (LV) and to assess its correlation with various ocular parameters in healthy eyes, using for all measurements the same high-resolution swept-source optical coherence tomographer (SS-OCT).

Methods

We prospectively recruited 67 Caucasian healthy patients whose mean age was 41.9 ± 12.4 years; only their right eye was included in the study. Data were all recorded with the ANTERION SS-OCT and comprised, for each patient, 5 consecutive measurements of LV, anterior chamber depth (ACD), lens thickness (LT), axial length (AL), white-to-white (WTW) distance, central corneal thickness (CCT), anterior chamber volume (ACV) and spur-to-spur (STS) distance.

Results

Mean LV was 0.26 ± 0.23 mm (ranging from -0.24 to 0.78 mm). Data analysis revealed a statistically significant negative correlation between LV and ACD (R=-0.80, p < 0.001), AL (R = -0.36, p = 0.002), and ACV (R = -0.68, p < 0.001), and a positive correlation between LV and LT (R = 0.67, p < 0.001), and age (R = 0.53, p < 0.001). In contrast, no statistically significant correlation was found between LV and WTW (R=-0.17, p = 0.15), CCT (R = 0.11, p = 0.36) or STS (R=-0.10, p = 0.41).

Conclusions

Taking into account our findings about intra-parameter correlation levels, we believe that LV should be measured and analyzed together with other ocular parameters in clinical routine practice both for diagnosis and for some refractive surgeries.

Keywords: Crystalline lens rise, Spur-to-spur, White-to-white, Optical coherence tomography, Swept-source Fourier domain

Introduction

The analysis of different anterior-segment parameters is mandatory for the prevention, treatment, and diagnosis of angle-closure pathologies but also for several refractive surgery procedures. The potential applications of anterior-segment imaging, which can provide a number of cross-sectional images (i.e., slices) of the anterior segment, have increased in recent years. Optical coherence tomography (OCT) and ultrasound biomicroscopy (UBM) are the most common imaging techniques being used in the clinical setting. These systems overcome several limitations inherently associated with gonioscopy; in fact, it has been suggested that enhanced versions of OCT and UBM will end up becoming the gold standard for angle screening and management.1 As a matter of fact, OCT is already being widely used due to its non-invasiveness and the quality of the objective images of different anterior chamber structures it provides, not only for angle analysis but also for the estimation of several distances that are relevant for refractive-surgery planning. OCT has evolved, from the first versions that were time-domain based and had low resolution to the current models that rely on swept-source technology (SS-OCT) ,2 and have a faster scanning speed, higher resolution and automated-measurement capabilities.3

Crystalline lens rise (CLR) or lens vault (LV) are two important distances that can be measured using either OCT or UBM. The former (CLR) is defined as the perpendicular anteroposterior distance between the anterior crystalline lens surface and the angle recess–to–angle recess line,4,5 whereas the latter (LV) is defined as the perpendicular distance between the anterior crystalline lens surface and the horizontal line joining the two scleral spurs.6 These two parameters have been widely measured and used for clinical diagnosis for the last 15 years. This enables us to define how is the convexity of the iris-crystalline lens and may be useful, for example, to know which type of phakic intraocular lens can be choose and its dimension, or to diagnose some ocular pathologies. It has been recognized greater LV as an anatomic parameter that is independently associated with angle closure.6 There are many studies in the literature that have reported LV and CLR data for different patient cohorts and making use of various measuring instruments.4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31 Some of these studies also measured, in the same series, other parameters such as anterior chamber depth (ACD), lens thickness (LT), axial length (AL), white-to-white distance (WTW), central corneal thickness (CCT), anterior chamber volume (ACV) or spur-to-spur distance (STS). However, in some of these cases two or more instruments had to be used to record the complete data set. As far as we are aware, there are not any studies in the literature where all these ocular parameters were measured with just one instrument and in the same group of patients in search of potential correlations with LV. Therefore, the purpose of this study was to bridge this gap and measure LV and assess its correlation with other ocular parameters by characterizing the dimensions of the eye's anterior segment in a group of healthy eyes using the same instrument; namely, a high-resolution SS-OCT platform.

Methods

Participants and procedures

Patients participating in this study were recruited at the Oftalvist Clinic from November 2019 to February 2020. The clinical research followed the tenets of the Helsinki Declaration, and all procedures were approved by our Institutional Review Board. All patients, prior to their being recruited, underwent a comprehensive ophthalmic examination, which included anterior-segment slit-lamp assessment, fundus inspection, intraocular pressure measurement, visual acuity, and refraction. Considering the reported similarities between a given person's left and right eyes,32 only the participants’ right eye was included in the study. The inclusion criteria were to be a phakic subject aged 20–70 years. The exclusion criteria were having an ocular or systemic disease, poor fixation, a history of ocular surgery, or visual acuity below 20/25 Informed consent was obtained once they had been given an explanation about the purpose of the study, and details on the measurement technique and on data handling and processing.

The high-resolution SS-OCT ANTERION platform (Heidelberg Engineering GmbH, Heidelberg, Germany) was the measuring instrument used in this research, which has shown high repeatability for different ocular parameters and useful for measurement different distances.33, 34, 35 It relies on a 1300 nm (infrared) light source to produce several B-Scans of the eye with an axial resolution <10 μm. The use of a long wavelength makes it possible to image the whole anterior segment and the lateral scanning SS-OCT allows for cross-sectional imaging providing data of different parameters to be studied. The device also includes an infrared camera. Horizontal cross-sectional images are used to measure CCT, ACD, LT, ACV, AL and STS (defined as the distance between opposite scleral spurs within one B-scan), while the infrared camera enables en-face imaging of the subject's eye that provides horizontal WTW data. For each participant, a total of 5 consecutive measurements series—each including all 8 parameters—were carried out within the same session by the same examinar. The patient was positioned correctly on the chin rest, with their forehead leaning on the ANTERION SS-OCT. Prior to each measurement session, the instrument was calibrated according to the manufacturer's recommendations. One trained observer was in charge of marking in each image the scleral spurs (which are defined as the inward protrusion of the sclera where a change in curvature of the corneoscleral junction is observed36). Based on these locations, LV was then automatically calculated.

Data analysis and statistics

The statistical analysis was carried out using the SPSS software (version 22.0, IBM Corp., Armonk, New York, USA). All the measurements are given in the form of mean value ± standard deviation (SD). Pearson correlation analysis was used to evaluate the level of correlation between different parameters based on their corresponding Pearson's correlation coefficient (R). Moreover, linear regression analysis was also performed, and a regression equation was obtained for each correlation. The resulting p values were considered to be statistically significant if they were below 0.05.

Results

Prior to data analysis, a literature review was carried out by searching the following databases: PubMed (U.S. National Library of Medicine), Web of Science (Thomson Reuters), and Scopus (Elsevier, BV). The search was limited to publications in English— both peer-reviewed scientific reports and research books— but no date restriction was applied. The date of the last electronic search was March 20, 2020. This literature search produced 27 relevant contributions, which were subsequently analyzed. Table 1 shows those clinical studies that recorded CLR and LV data using either OCT or UBM.

Table 1.

Clinical studies reporting data for crystalline lens rise (CLR) or lens vault (LV).

Author Year Eyes Patients Instrument Condition
Goldsmith et al.4 2005 40 White, Asian, black CAS OCT* Normal
Baikoff et al.5 2005 OCT Artisan IOL
 All 87
 Hyperopic 43
 Myopic 44
Yan et al.7 2010 Chinese SL-OCT Normal
 All 126
 Young 42
 Adults 42
 Older 42
Nongpiur et al.6 2011 Chinese Visante OCT
 Angle closure 102 Angle closure
 Normal controls 176 Normal controls
Kojima et al.8 2012 Japanese IOLMaster/Vumax II UBM
 Study 45
 Validation 81
Sun et al.9 2012 388 Korean Visante OCT Normal
 < 50 41
 50 to 60 49
 60 to 70 140
 70 to 80 118
 ≥ 80 40
Lee et al.10 2012 684 Chinese, Caucasian, Filipo, Hispanic and African Visante OCT Open and narrow angle
 Open angle 385
  Chinese 82
  Caucasian 147
  Filipo 41
  Hispanic 43
  African 72
 Narrow angle 299
  Chinese 50
  Caucasian 124
  Filipo 40
  Hispanic 43
  African 42
Tan et al.11 2012 1464 Chinese, Malay, Indian and Other IOLMaster/Visante OCT Open and narrow angle
 Narrow angle 315
 Open angle 1149
 Chinese 1317
 Malay 27
 Indian 102
 Other 18
Shabana et al.12 2012 148 Chinese, Malay, Indian and Other Sonomed/Visante OCT PAC
Ozaki et al.13 2012 Japanese US-800/Visante OCT Angle closure and normal
 Angle closure 109
 Normal 68
Congdon et al.14 2012 884 Chinese IOLMaster/Visante OCT Normal
Moghimi et al.15 2013 189 Iranian Echoscan/Visante OCT AACG, CACG, PACS and normal
 AACG 40
 CACG 42
 PACS 40
 Control 27
Kim et al.16 2014 Korean IOLMaster/Visante OCT PAC (G) and normal
 PAC (G) 101
 Normal 101
Moghimi et al.17 2014 115 Iranian Echoscan/Visante OCT PACG and PACS
 Fellow eyes 40
 PACG 39
 PACS 36
Lee et al.18 2015 166 White, Chinese, African and Hispanic Visante OCT Open and narrow angle
 Open angle
 White 105
 Chinese 91
 African 62
 Hispanic 39
 Narrow angle
 White 61
 Chinese 41
 African 28
 Hispanic 36
Moghimi et al.19 2015 Iranian Echoscan/Visante OCT PhAC, AAC and normal
 PhAC 28
 AAC 54
 Control 52
Moghimi et al.20 2016 Iranian Echoscan/Visante OCT PACG and PACS
 Fellow eyes 40
 PACG 39
 PACS 36
Hong et al.21 2016 Korean Visante OCT PAC NBG and PAC BG
 PAC NBG 43
 PAC BG 89
Shimizu et al.22 2017 Japanese IOLMaster/Casia 1000 SS-OCT§ Children and adults
 Children 50
 Adults 50
Xu et al.23 2017 20 NA Casia2 SS-OCT/Spectralis OCT Normals
Xu et al.24 2018 22 NA Casia2 SS-OCT Normals
Li et al.25 2018 Chinese LenStar 900/MD-300 L UBM PAC
 <22.5 70
 ≥22.5 to <23.5 53
 ≥23. 15
Chansangpetch et al.26 2018 53 NA Casia2 SS-OCT/Visante OCT Open and
narrow angle
Yan et al.27 2018 35 Chinese Casia 1000 SS-OCT
Nakamura et al.28 2018 Japanese Casia2 SS-OCT ICL
 Development study 46
 Validation study 35
González-López et al.29 2019 111 White Casia 1000 SS-OCT ICL
Ghoreishi et al.30 2019 58 Iranian Casia 1000 SS-OCT Normals
Moghimi et al.31 2019 Iranian Visante OCT Fellow eyes of PAC, PhAC and normals
 Fellow eyes of PAC 55
 Fellow eyes of PhAC 48
 Normals 52
Current study 2020 67 White Anterior SS-OCT Normals

UBM: ultrasound biomicroscopy; OCT: optical coherence tomographer; SS: swept-source; IOL: intraocular lens; ICL: implantable collamer lens; PAC: primary-angle closure; AACG: acute angle closure glaucoma; CACG: chronic angle closure glaucoma; PACS: primary-angle closure glaucoma suspect; PACG: primary angle-closure glaucoma; PhAC: phacomorphic angle closure; AAC: acute angle closure; NBG: non-basal insertion; BG: basal-insertion.

Holladay-Godwin gauge for WTW and OCT for CLR.

IOLMaster for axial length and anterior chamber depth and UBM for LV.

IOLMaster/Sonomed/US-800/Echoscan for anterior chamber depth, lens thickness and axial length and Visante OCT for LV.

§

IOLMaster for axial length measurements and Casia 1000-SS-OCT for other measurements.

LenStar 900 for axial length and central corneal thickness and UBM for other measurements.

A total of 67 healthy patients were consecutively recruited for this prospective study (46 female and 21 male) were Caucasian. Their mean age was 41.9 ± 12.4 years (range: 22–67 years). For all participating patients, their measurement session was completed uneventfully, and the recorded data were fed into the database for analysis (for each parameter, the mean of the 5 measurements was used for statistical-analysis purposes). Table 2 shows in the bottom row mean ± SD values and range for each parameter measured in the present study with the ANTERION SS-OCT; namely, LV, ACD, LT, AL, WTW, CCT, ACV and STS. Furthermore, for comparison purposes, the table also summarizes the most relevant findings of those studies stemming from the abovementioned literature search (i. e., papers where CLR or LV was measured using either OCT or UBM).

Table 2.

Mean ± standard deviation (range) values obtained in previous published literature for crystalline lens rise (CLR) and lens vault (LV). Anterior chamber depth (ACD), lens thickness (LT), axial length (AXL), white-to-white (WTW), central corneal thickness (CCT), anterior chamber volume (ACV) and spur-to-spur (STS) values were included when available.

Author Age (ys) CLR (mm) LV (mm) ACD (mm) LT (mm) AXL (mm) WTW (mm) CCT (mm) ACV (mm2) STS (mm)
Goldsmith et al.4 NA 0.39 ± 0.27 (−0.16 to 0.97) 2.99 ± 0.32 11.78 ± 0.57 (10.83 to 12.83)
Baikoff et al.5
 All 0.298 ± 0.288
(−0.276 to 1.126)
3.54 ± 0.39
(2.89 to 6.68)
 Hyperopic 44.5 ± 12.3
(18 to 67)
0.461 ± 0.254
(−0.050 to 1.126)
3.31 ± 0.27 (2.89 to 3.77)
 Myopic 36.5 ± 8.7
(22 to 54)
0.140 ± 0.226
(−0.276 to 0.783)
3.77 ± 0.35
(2.89 to 3.40)
Yan et al.7
 All 30.7 ± 16.8
(6 to 60)
0.11 ± 0.23
(NA)
 Young NA
(6 to 20)
−0.12 ± 0.14
(NA)
 Adults NA
(21 to 40)
0.13 ± 0.17
(NA)
 Older NA
(41 to 60)
0.33 ± 0.11
(NA)
Nongpiur et al.6
 Angle closure 65.3 ± 9.1 0.901 ± 0.265 2.66 ± 0.37 4.20 ± 0.92 22.86 ± 0.93
 Normal controls 54.2 ± 7.9 0.316 ± 0.272 2.95 ± 0.37 3.90 ± 0.73 23.93 ± 1.37
Kojima et al.8*
 Study 34.3 ± 6.6
(22 to 45)
0.31 ± 0.18
(−0.04 to 0.69)
3.25 ± 0.27
(2.77 to 3.81)
27.9 ± 1.3
(25.8 to 31.3)
 Validation 35.6 ± 7.2
(25 to 48)
0.35 ± 0.20
(0 to 0.82)
3.08 ± 0.26
(2.63 to 3.61)
NA
Sun et al.9 66.0 ± 11.3 0.459 ± 0.377 2.834 ± 0.522 24.00 ± 1.81
 < 50 ys 0.170 ± 0.212 3.337 ± 0.363 26.01 ± 2.97
 50 to 60 yrs 0.349 ± 0.310 2.936 ± 0.416 24.18 ± 1.37
 60 to 70 yrs 0.432 ± 0.372 2.849 ± 0.507 23.95 ± 1.85
 70 to 80 yrs 0.561 ± 0.375 2.693 ± 0.495 23.51 ± 0.99
 ≥ 80 yrs 0.684 ± 0.378 2.554 ± 0.535 23.31 ± 0.64
Lee et al.10
 Open angle
 Chinese 59.86 0.265 ± 0.288
(0.574 to 0.722)
2.81 ± 0.32
 Caucasian 65.89 0.431 ± 0.248
(0.375 to 0.486)
2.86 ± 0.38
 Filipo 68.58 0.302 ± 0.213
(0.216 to 0.388)
2.76 ± 0.28
 Hispanic 64.29 0.304 ± 0.263
(0.193 to 0.415)
2.79 ± 0.28
 African 61.14 0.200 ± 0.237
(0.127 to 0.273)
2.91 ± 0.34
 Narrow angle
 Chinese 74.40 0.648 ± 0.198
(0.574 to 0.722)
2.36 ± 0.23
 Caucasian 67.59 0.784 ± 0.232
(0.729 to 0.839)
2.40 ± 0.28
 Filipo 70.82 0.799 ± 0.282
(0.674 to 0.924)
2.23 ± 0.27
 Hispanic 66.71 0.691 ± 0.216
(0.600 to 0.782)
2.35 ± 0.24
 African 64.92 0.659 ± 0.198 2.40 ± 0.26
Tan et al.11†
 Narrow angle 0.775 ± 0.190 2.20 ± 0.20 23.09 ± 0.88
 Open angle 0.386 ± 0.251 2.73 ± 0.29 24.13 ± 1.36
 Chinese 0.471 ± 0.290
 Malay 0.479 ± 0.308
 Indian 0.444 ± 0.266
 Other 0.504 ± 0.239
Shabana et al.12 68.3 ± 9.8 0.85 ± 0.02 2.14 ± 0.02 4.69 ± 0.84 22.78 ± 0.93 11.43 ± 0.03
Ozaki et al.13
 Angle closure 73.5 ± 7.0 1.034 ± 0.257 2.51 ± 0.39 4.91 ± 0.54 22.22 ± 0.77
 Normal 72.6 ± 7.3 0.429 ± 0.236 3.14 ± 0.35 4.54 ± 0.47 23.28 ± 0.81
Congdon et al.14‡ 52 ± 11.8 0.438 ± 0.280 3.21 ± 0.37 6.21 ± 0.51 23.6 ± 1.1
Moghimi et al.15
 AACG 61.6 ± 9.3 1.067 ± 0.252 2.26 ± 0.22 5.05 ± 0.46 21.84 ± 1.17
 CACG 61.1 ± 8.7 0.847 ± 0.189 2.50 ± 0.24 4.85 ± 0.39 22.24 ± 0.80
 PACS 60.2 ± 8.1 0.890 ± 0.221 2.53 ± 0.28 4.92 ± 0.30 21.97 ± 0.73
 Control 62.4 ± 10.6 0.266 ± 0.308 3.15 ± 0.33 4.16 ± 0.49 22.46 ± 4.35
Kim et al.16 64.5 ± 6.2
 PAC (G) 1.06 ± 0.41 2.06 ± 0.40 22.96 ± 0.94
 Normal 0.36 ± 0.37 2.94 ± 0.38 24.02 ± 1.33
Moghimi et al.17
 Fellow eyes 59.4 ± 9.2 0.977 ± 0.192 2.36 ± 0.21 4.96 ± 0.32 21.69 ± 1.13
 PACG 60.7 ± 9.0 0.851 ± 0.186 2.49 ± 0.25 4.86 ± 0.40 22.48 ± 0.82
 PACS 60.2 ± 8.1 0.890 ± 0.221 2.53 ± 0.28 4.92 ± 0.30 21.97 ± 0.73
Lee et al.18
 Open angle
 White 65.1 ± 13.1 0.41 ± 0.28 0.557 ± 0.034 161.3 ± 35.3 12.1 ± 0.5
 Chinese 62.0 ± 16.1 0.29 ± 0.33 0.051 ± 0.038 149.4 ± 34.8 11.7 ± 0.4
 African 61.7 ± 14.1 0.24 ± 0.26 0.537 ± 0.038 157.6 ± 34.5 12.0 ± 0.4
 Hispanic 67.4 ± 13.6 0.33 ± 0.28 0.054 ± 0.036 147.1 ± 31.9 11.8 ± 0.5
 Narrow angle
 White 68.3 ± 12.6 0.76 ± 0.23 0.562 ± 0.033 123.0 ± 25.5 12.0 ± 0.5
 Chinese 70.4 ± 14.9 0.68 ± 0.22 0.555 ± 0.052 110.6 ± 19.2 11.5 ± 0.4
 African 64.9 ± 9.8 0.63 ± 0.21 0.540 ± 0.036 120.2 ± 20.4 11.8 ± 0.4
 Hispanic 66.7 ± 13.0 0.69 ± 0.21 0.556 ± 0.036 110.8 ± 18.9 11.7 ± 0.4
Moghimi et al.19
 PhAC 76.6 ± 12.4 1.364 ± 0.351 1.43 ± 0.43 22.83 ± 1.21 11.36 ± 0.41
 AAC 61.4 ± 9.4 1.002 ± 0.271 1.86 ± 0.28 21.92 ± 1.10 11.19 ± 0.48
 Control 63.9 ± 10.8 0.391 ± 0.377 2.76 ± 0.44 32.12 ± 0.86 11.55 ± 0.45
Moghimi et al.20
 Fellow eyes 59.4 ± 9.2 0.977 ± 0.192 2.36 ± 0.21 4.96 ± 0.32 21.69 ± 1.13
 PACG 60.7 ± 9.0 0.851 ± 0.186 2.49 ± 0.25 4.86 ± 0.40 22.48 ± 0.82
 PACS 60.2 ± 8.1 0.890 ± 0.221 2.53 ± 0.28 4.92 ± 0.30 21.97 ± 0.73
Hong et al.21
 PAC NBG 62.7 ± 5.7 0.982 ± 0.20 2.10 ± 0.21
 PAC BG 59.8 ± 7.3 0.889 ± 0.25 2.11 ± 0.30
Shimizu et al.22
 Children 7.1 ± 3.3 0.04 ± 0.22
(−0.436 to 0.594)
3.05 ± 0.27 22.21 ± 0.88 0.560 ± 0.032
(0.503 to 0.635)
11.65 ± 0.33
(10.76 to 12.40)
 Adults 73.7 ± 7.8 0.54 ± 0.31
(−0.09 to 1.352)
2.53 ± 0.43 22.34 ± 0.53 0.522 ± 0.030
(0.464 to 0.582)
11.20 ± 0.39
(10.38 to 11.88)
Xu et al.23 37
 Casia2 0.08 ± 0.37 11.68 ± 0.21
 Spectralis 0.20 ± 0.37 11.88 ± 0.15
Xu et al.24 34.2 ± 8.4
 Light AM 0.09 ± 0.22 3.14 ± 0.27 12.07 ± 0.47
 Light PM 0.07 ± 0.11 3.13 ± 0.25 12.08 ± 0.47
 Dark AM 0.07 ± 0.26 3.13 ± 0.29 12.03 ± 0.46
 Dark PM 0.08 ± 0.27 3.13 ± 0.29 12.03 ± 0.46
Li et al.25§
 <22.5 mm 62.7 ± 8.0 1.05 ± 0.18 1.81 ± 0.20 4.75 ± 0.43 22.00 0.537 ± 0.029 11.10 ± 0.35
 ≥22.5 to <23.5 mm 64.0 ± 10.8 0.96 ± 0.18 2.01 ± 0.24 4.71 ± 0.37 22.98 0.542 ± 0.033 11.55 ± 0.44
 ≥23 mm 69.3 ± 14.9 1.08 ± 0.17 1.99 ± 0.27 4.95 ± 0.36 23.80 0.556 ± 0.022 11.93 ± 0.46
Chansangpetch et al.26 70.9 ± 8.4
 Casia2 0.599 ± 0.301 2.477 ± 0.332 11.68 ± 0.38
 Visante 0.607 ± 0.316 2.459 ± 0.333 11.74 ± 0.43
Yan et al.27 26.1 ± 2.6 25.23 ± 1.01
 Before exercise −0.134 ± 0.198 3.14 ± 0.24 3.86 ± 0.32
 After exercise −0.195 ± 0.198 3.16 ± 0.25 3.85 ± 0.32
Nakamura et al.28
 Development study 33.0 ± 6.6
(22 to 47)
0.080 ± 0.160
(−0.270 to 0.410)
−0.14 ± 0.19
(−0.52 to 0.29)
11.72 ± 0.42
(11.0 to 12.6)
11.87 ± 0.43
(11.08 to 12.96)
 Validation study 30.7 ± 9.8
(19 to 51)
−0.013 ± 0.200
(−0.400 to 0.300)
−0.21 ± 0.21
(−0.75 to 0.10)
11.78 ± 0.30
(11.0 to 12.3)
11.94 ± 0.27
(11.42 to 12.43)
González-López et al.29
 Mydriasis 0.106 ± 0.176
 Miosis 0.165 ± 0.173
Ghoreishi et al.30 28.95 ± 6.04
(22 to 55)
−0.012 ± 0.161
(−0.389 to 0.339)
3.42 ± 0.22
(2.98 to 3.89)
11.87 ± 0.36
(11.0 to 12.60)
0.502 ± 0.041
(0.401 to 0.588)
Moghimi et al.31
 Fellow eyes of PAC 61.4 ± 9.8 0.961 ± 0.203 1.96 ± 0.21
 Fellow eyes of PhAC 72.5 ± 11.3 0.781 ± 0.294 2.21 ± 0.37
 Normals 63.9 ± 10.8 0.391 ± 0.377 2.76 ± 0.44
 Current study
Normal
41.9 ± 12.4
(22 to 67)
0.26 ± 0.23
(−0.24 to 0.78)
2.88 ± 0.33
(2.02 to 3.53)
4.08 ± 0.26
(3.26 to 4.88)
23.66 ± 0.86
(21.28 to 26.04)
11.90 ± 0.37
(10.65 to 12.70)
0.533 ± 0.034
(0.434 to 0.622
164.2 ± 33.6
(95.7 to 235.3)
11.86 ± 0.36
(11.08 to 12.86)

NA: not available; AACG: acute angle closure glaucoma; CACG: chronic angle closure glaucoma; PACS: primary-angle closure glaucoma suspect; PAC: primary-angle closure; PACG: primary-angle closure glaucoma; PhAC: phacomorphic angle closure; AAC: acute angle closure; NBG: non-basal insertion; BG: basal-insertion.

LV was defined as the distance between ciliary sulcus-to-sulcus plane and anterior crystalline surface.

this study considers more variables such as age but only values as a function of race were included for simplicity.

this was a 2-years longitudinal study, then only initial values were included.

§

groups divided as a function of axial length.

The pairwise comparison between LV and each of the remaining ocular parameters under evaluation (ACD, LT, AL, WTW, CCT, ACV, STS, and age) is shown in Fig. 1 through a set of 8 graphs, with their corresponding regression equation. More specifically, the statistical analysis revealed a negative correlation between LV and ACD (R = −0.80, p < 0.001), AL (R = −0.36, p = 0.002), and ACV (R = −0.68, p < 0.001), while a positive correlation was observed between LV and LT (R = 0.67, p < 0.001), and age (R = 0.53, p < 0.001). Finally, no statistically significant correlation was found between LV and WTW (R = −0.17, p = 0.15), CCT (R = 0.11, p = 0.36), and STS (R = −0.10, p = 0.41).

Fig. 1.

Fig. 1

Scatter plots of relation between lens vault (LV) and the different ocular parameters measured: anterior chamber depth (ACD), lens thickness (LT), axial length (AL), white-to-white (WTW), central corneal thickness (CCT), anterior chamber volume (ACV), sulcus-to-sulcus (STS) and age. The solid line represents the best-fit line for each relationship (regression equation was included in each graph).

Discussion

As was mentioned above in the Introduction, LV or CLR, are two important parameters that should be evaluated in the clinical setting. They may help to diagnose some ocular pathologies, but they are also necessary for specific surgeries (i.e. phakic intraocular lens implantation). In 2005, Goldsmith et al.4 and Baikoff et al.5 were the first groups to assess the vault of the crystalline lens and to apply these data for refractive surgery with phakic lenses. Years later, in 2011, Nongpiur et al.6 considered measuring LV to assess patients with angle closure, since crystalline lens position may play a role in this condition's pathogenesis. Table 1 shows that LV has been assessed with different instruments in quite a few studies. Some authors specifically assessed the effect of race, others the patients’ age and, in some cases, looking for correlations with a specific angle structure (open or narrow). In general, after a detailed analysis of the outcomes (see Table 2, summarizing the values found in each study) and the conclusions reported, we might consider that the measurement of LV is an important parameter that should be evaluated during clinical routine.

Our results revealed statistically significant correlations between LV and each of the remaining parameters, except for WTW, CCT and STS (p > 0.1). Lee et al.18 reported comparable CCT and STS values for different LV (0.41 and 0.76 mm, for open and narrow angle, respectively) in Caucasian patients (see Table 2 for CCT and STS values). Li et al.25 reported different STS values for similar LV in their cohort of 138 patients. It seems that the cornea (thickness and width) does not play a significant role in LV variations. On the other hand, negative significant correlations were found for ACD, AL and ACV, and positive significant correlations for LT and age. These findings are to be expected since, a shallow ACD—hence leading to a smaller ACV—results in a shorter AL; moreover, a thicker lens is linked to aging, and both parameters are correlated with significant positive LV. Note that eyes with shorter AL tend to have small ACD.37,38 A reduction in ACD, also related to age, is caused by forward protrusion of the crystalline lens’ anterior pole.39 In our study, R-values for ACD, ACV and AL were negative; i.e., LV was significantly high for small ACD and AL values. However, Li et al.25 found that there were no differences in ACD, LV, iris parameters, and ciliary body thickness among primary-angle closure patients belonging to different AL groups. Tan et al.11 also concluded that after adjusting for age and gender, significant associations with greater LV were shorter AL and shallower ACD. We consider that if we have a longer eye, this may result in large ACD, and, then, the crystalline lens may be posteriorly located resulting in lower LV.

In relation to age, our results agree with those by Yan et al.,7 who reported a positive significant correlation of CLR with age (R = 0.81, ages from 6 to 60 years). However, Nongpiur et al.,6 using a Visante OCT in Chinese eyes, found that LV and LT were poorly correlated (R = 0.17). They considered that it is likely that the increase in LV with age may be associated with changes in zonular laxity with age. In addition, the degree and type of cataract may influence these two variables and the sample analyzed (>40 years). Our sample was younger and only comprised healthy (i.e., non-cataractous). Our results agree also with those reported by Sun et al.9 who found, in 388 eyes from patients aged 30 to 89 years, that LV increased with age, thus explaining why aging is a significant risk factor for primary angle glaucoma.

LV has also been analyzed as a function of the ethnicity and the angle. Lee et al.10,18 and Tan et al.11 analyzed, in three studies with large samples (n = 684, 166 and 1464 eyes, respectively), the association of LV in eyes with narrow angles among different ethnic groups. Lee et al.10 showed that narrow-angle eyes have greater LV compared to open-angle eyes, regardless of the subject's ethnicity. They concluded that once LV goes above a given threshold for that particular ethnicity, angle narrowing tends to occur. Tan et al.11 found that there were no association between LV and race, and concluded that LV was independently associated with the presence of narrow angles and showed good diagnostic performance in detecting eyes with narrow angles. In contrast, Lee et al.18 reported that ethnic variation in anterior segment biometric parameters exists. ACV and LV were stronger than anterior chamber width in predicting variance of anterior chamber angle width in the four-ethnic groups they assessed (White, Chinese, African, and Hispanic). Africans subjects exhibited the lowest mean value for the LV, and Whites the highest mean values for LV (see Table 2). Their findings suggest that differences in anterior chamber area, ACV, and LV may be one of the main causes of differences in the prevalence of primary angle-closure glaucoma across ethnicities.

As stated by Nongpiur et al.,6 larger positive LV values indicate that a greater bulk of the lens is located anterior to this plane. A larger LV would thus probably worsen the angle crowding in an already at-risk. Several studies carried out on different ethnicities agree that LV is indeed a risk factor for angle closure.6,13,15 Moghimi et al.15 suggested that higher LV may play a particularly strong role in the development of an acute attack of angle closure, and may be used to differentiate acute angle closure, primary-angle closure glaucoma and eyes with suspected primary-angle closure.17 Specific analysis in phacomorphic angle closure and acute primary-angle closure eyes revealed that a greater LV is one of the main differences between these two types of eyes.19 In a recent cross-sectional study, Moghimi et al.31 found that in acute primary-angle closure cases, the fellow eye showed the greatest LV, followed by fellow eyes of phacomorphic angle closure cases. A multivariable analysis revealed that LV >0.786 mm is a factor that discriminated fellow eyes of acute primary-angle closure from phacomorphic angle closure. Other factors, such as diurnal variation, light or exercise have been also analyzed. Xu et al.,24 for example, concluded that no diurnal variation of LV measurements was detected in the light and dark, and Yan et al.27 assessed the impact of post-aerobic exercise on the lens and reported that LV decreased significantly.

As detailed in Table 1, different instruments have been used over the past 15 years to measure CLR or LV. The initial studies relied on time-domain OCT platforms (Visante) while the most recent ones resorted to SS-OCTs (Casia 1000 and Casia2), which use a longer-wavelength light source to better analyze the anterior segment of the eye.2 New high-resolution SS-OCT instruments may provide clinicians and investigators images with better resolutions. UBM8,25 has also been used but to a much lesser extent than OCT since it is not very widespread in the clinical setting, possibly due to it being an invasive and time-consuming technique. In addition, some of the previous studies have made use of more than one instrument to obtain several parameters (i.e. biometer + UBM or biometer + OCT). In our case, we used only one instrument, the ANTERION SS-OCT, which is suitable for both anterior segment analysis and biometry and which will become a versatile device to be used for clinical activity and research reporting all the variables.

One main limitation in our research was the relatively small sample size, especially taking into account that our population comprised only healthy Caucasian patients. Future studies using this instrument should include a higher number of patients, different ethnicities, and also eyes with narrow angle and also with primary-angle glaucoma. We want also to point out that despite the fact that in our study scleral-spur localization was done manually (i.e., relying on a subjective method), it was the same expert examiner who did all the examinations.

Conclusion

The ANTERION SS-OCT platform is a reliable and user-friendly device to evaluate LV, while making it possible as well to measure—with that same instrument—various anterior-segment parameters. Our findings revealed that LV is significantly correlated with different ocular parameters such as ACD, AL, ACV, LT, and age. We believe that LV measurement should be part of any clinical routine examination both for diagnosis and prior to certain refractive surgeries, such as phakic intraocular lens implantation.

Conflicts of interest

No conflict of interest was declared by the authors.

References

  • 1.Chansangpetch S., Rojanapongpun P., Lin S.C. Anterior segment imaging for angle closure. Am J Ophthalmol. 2018;188:xvi–xxix. doi: 10.1016/j.ajo.2018.01.006. [DOI] [PubMed] [Google Scholar]
  • 2.Ang M., Baskaran M., Werkmeister R.M., et al. Anterior segment optical coherence tomography. Prog Retin Eye Res. 2018;66:132–156. doi: 10.1016/j.preteyeres.2018.04.002. [DOI] [PubMed] [Google Scholar]
  • 3.Qiao Y., Tan C., Zhang M., Sun X., Chen J. Comparison of spectral domain and swept source optical coherence tomography for angle assessment of Chinese elderly subjects. BMC Ophthalmol. 2019;19(1):142. doi: 10.1186/s12886-019-1145-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Goldsmith J.A., Li Y., Chalita M.R., et al. Anterior chamber width measurement by high-speed optical coherence tomography. Ophthalmology. 2005;112:238–244. doi: 10.1016/j.ophtha.2004.09.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Baïkoff G., Bourgeon G., Jodai H.J., Fontaine A., Lellis F.V., Trinquet L. Pigment dispersion and Artisan phakic intraocular lenses: crystalline lens rise as a safety criterion. J Cataract Refract Surg. 2005;31:674–680. doi: 10.1016/j.jcrs.2004.09.034. [DOI] [PubMed] [Google Scholar]
  • 6.Nongpiur M.E., He M., Amerasinghe N. Lens vault, thickness, and position in Chinese subjects with angle closure. Ophthalmology. 2011;118:474–479. doi: 10.1016/j.ophtha.2010.07.025. [DOI] [PubMed] [Google Scholar]
  • 7.Yan P.S., Lin H.T., Wang Q.L., Zhang Z.P. Anterior segment variations with age and accommodation demonstrated by slit-lamp-adapted optical coherence tomography. Ophthalmology. 2010;117:2301–2307. doi: 10.1016/j.ophtha.2010.03.027. [DOI] [PubMed] [Google Scholar]
  • 8.Kojima T., Yokoyama S., Ito M. Optimization of an implantable collamer lens sizing method using high-frequency ultrasound biomicroscopy. Am J Ophthalmol. 2012;153:632–637. doi: 10.1016/j.ajo.2011.06.031. [DOI] [PubMed] [Google Scholar]
  • 9.Sun J.H., Sung K.R., Yun S.C. Factors associated with anterior chamber narrowing with age: an optical coherence tomography study. Invest Ophthalmol Vis Sci. 2012;53:2607–2610. doi: 10.1167/iovs.11-9359. [DOI] [PubMed] [Google Scholar]
  • 10.Lee R.Y., Huang G., Cui Q.N., He M., Porco T.C., Lin S.C. Association of lens vault with narrow angles among different ethnic groups. Curr Eye Res. 2012;37:486–491. doi: 10.3109/02713683.2012.669006. [DOI] [PubMed] [Google Scholar]
  • 11.Tan G.S., He M., Zhao W. Determinants of lens vault and association with narrow angles in patients from Singapore. Am J Ophthalmol. 2012;154:39–46. doi: 10.1016/j.ajo.2012.01.015. [DOI] [PubMed] [Google Scholar]
  • 12.Shabana N., Aquino M.C., See J. Quantitative evaluation of anterior chamber parameters using anterior segment optical coherence tomography in primary angle closure mechanisms. Clin Exp Ophthalmol. 2012;40:792–801. doi: 10.1111/j.1442-9071.2012.02805.x. [DOI] [PubMed] [Google Scholar]
  • 13.Ozaki M., Nongpiur M.E., Aung T., He M., Mizoguchi T. Increased lens vault as a risk factor for angle closure: confirmation in a Japanese population. Graefes Arch Clin Exp Ophthalmol. 2012;250:1863–1868. doi: 10.1007/s00417-012-2011-y. [DOI] [PubMed] [Google Scholar]
  • 14.Congdon N.G., Kong X., Meltzer M.E. Determinants and two-year change in anterior chamber angle width in a Chinese population. Ophthalmology. 2012;119:2500–2506. doi: 10.1016/j.ophtha.2012.06.051. [DOI] [PubMed] [Google Scholar]
  • 15.Moghimi S., Vahedian Z., Fakhraie G. Ocular biometry in the subtypes of angle closure: an anterior segment optical coherence tomography study. Am J Ophthalmol. 2013;155:664–673. doi: 10.1016/j.ajo.2012.10.014. [DOI] [PubMed] [Google Scholar]
  • 16.Kim Y.K., Yoo B.W., Kim H.C., Aung T., Park K.H. Relative lens vault in subjects with angle closure. BMC Ophthalmol. 2014;21(14):93. doi: 10.1186/1471-2415-14-93. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Moghimi S., Vahedian Z., Zandvakil N. Role of lens vault in subtypes of angle closure in Iranian subjects. Eye (Lond) 2014;28:337–343. doi: 10.1038/eye.2013.296. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Lee R.Y., Chon B.H., Lin S.C., He M., Lin S.C. Association of ocular conditions with narrow angles in different ethnicities. Am J Ophthalmol. 2015;160:506–515. doi: 10.1016/j.ajo.2015.06.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Moghimi S., Ramezani F., He M., Coleman A.L., Lin S.C. Comparison of anterior segment-optical coherence tomography parameters in phacomorphic angle closure and acute angle closure eyes. Invest Ophthalmol Vis Sci. 2015;56:7611–7617. doi: 10.1167/iovs.15-17336. [DOI] [PubMed] [Google Scholar]
  • 20.Moghimi S., Chen R., Hamzeh N., Khatibi N., Lin S.C. Qualitative evaluation of anterior segment in angle closure disease using anterior segment optical coherence tomography. J Curr Ophthalmol. 2016;28:170–175. doi: 10.1016/j.joco.2016.06.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Hong J.W., SC Yun, Sung K.R., Lee J.E. Clinical and anterior segment anatomical features in primary angle closure subgroups based on configurations of iris root insertion. Korean J Ophthalmol. 2016;30:206–213. doi: 10.3341/kjo.2016.30.3.206. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Shimizu Y., Nakakura S., Nagasawa T., Okamoto A., Tabuchi H., Kiuchi Y. Comparison of the anterior chamber angle structure between children and adults. J AAPOS. 2017;21:57–62. doi: 10.1016/j.jaapos.2016.10.005. [DOI] [PubMed] [Google Scholar]
  • 23.Xu B.Y., Mai D.D., Penteado R.C., Saunders L., Weinreb R.N. Reproducibility and agreement of anterior segment parameter measurements obtained using the CASIA2 and spectralis OCT2 optical coherence tomography devices. J Glaucoma. 2017;26:974–979. doi: 10.1097/IJG.0000000000000788. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Xu B.Y., Penteado R.C., Weinreb R.N. Diurnal variation of optical coherence tomography measurements of static and dynamic anterior segment parameters. J Glaucoma. 2018;27:16–21. doi: 10.1097/IJG.0000000000000832. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Li M., Chen Y., Jiang Z., Chen X., Chen J., Sun X. What are the characteristics of primary angle closure with longer axial length? Invest Ophthalmol Vis Sci. 2018;59:1354–1359. doi: 10.1167/iovs.17-23711. [DOI] [PubMed] [Google Scholar]
  • 26.Chansangpetch S., Nguyen A., Mora M. Agreement of anterior segment parameters obtained from swept-source fourier-domain and time-domain anterior segment optical coherence tomography. Invest Ophthalmol Vis Sci. 2018;59:1554–1561. doi: 10.1167/iovs.17-23574. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Nakamura T., Isogai N., Kojima T., Yoshida Y., Sugiyama Y. Implantable collamer lens sizing method based on swept-source anterior segment optical coherence tomography. Am J Ophthalmol. 2018;187:99–107. doi: 10.1016/j.ajo.2017.12.015. [DOI] [PubMed] [Google Scholar]
  • 28.Yan X., Li M., Zhang H. Relationship between post-exercise changes in the lens and Schlemm's canal: a swept-source optical coherence tomography study. Curr Eye Res. 2018;43:1351–1356. doi: 10.1080/02713683.2018.1498523. [DOI] [PubMed] [Google Scholar]
  • 29.Gonzalez-Lopez F., Bilbao-Calabuig R., Mompean B., Luezas J., Ortega-Usobiaga J., Druchkiv V. Determining the potential role of crystalline lens rise in vaulting in posterior chamber phakic collamer lens surgery for correction of myopia. J Refract Surg. 2019;35:177–183. doi: 10.3928/1081597X-20190204-01. [DOI] [PubMed] [Google Scholar]
  • 30.Ghoreishi M., Abdi-Shahshahani M., Peyman A., Pourazizi M. A model for predicting sulcus-to-sulcus diameter in posterior chamber phakic intraocular lens candidates: correlation between ocular biometric parameters. Int Ophthalmol. 2019;39:661–666. doi: 10.1007/s10792-018-0859-5. [DOI] [PubMed] [Google Scholar]
  • 31.Moghimi S., Fathollahzadeh N., Chen R., Lin S.C., Weinreb R.N. Comparison of fellow eyes of acute primary angle closure and phacomorphic angle closure. J Glaucoma. 2019;28:194–200. doi: 10.1097/IJG.0000000000001167. [DOI] [PubMed] [Google Scholar]
  • 32.McAlinden C., Khadka J., Pesudovs K. Statistical methods for conducting agreement (comparison of clinical tests) and precision (repeatability or reproducibility) studies in optometry and ophthalmology. Ophthalmic Physiol Opt. 2011;31:330–338. doi: 10.1111/j.1475-1313.2011.00851.x. [DOI] [PubMed] [Google Scholar]
  • 33.Ruíz-Mesa R., Aguilar-Córcoles S., Montés-Micó R., Tañá-Rivero P. Ocular biometric repeatability using a new high-resolution swept-source optical coherence tomographer. Expert Rev Med Devices. 2020;17:591–597. doi: 10.1080/17434440.2020.1772050. [DOI] [PubMed] [Google Scholar]
  • 34.Tañá-Rivero P., Aguilar-Córcoles S., Ruiz-Mesa R., Montés-Micó R. Repeatability of whole-cornea measurements using a new swept-source optical coherence tomographer. Eur J Ophthalmol. 2020 doi: 10.1177/1120672120944022. [DOI] [PubMed] [Google Scholar]
  • 35.Montés-Micó R., Tañá-Rivero P., Aguilar-Córcoles S., Ruiz-Santos M., Rodríguez-Carrillo M.D., Ruiz-Mesa R. Angle-to-angle and spur-to-spur distance analysis with high-resolution optical coherence tomography. Eye Vis. 2020 doi: 10.1186/s40662-020-00208-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Ho S.W., Baskaran M., Zheng C. Swept source optical coherence tomography measurement of the iris-trabecular contact (ITC) index: a new parameter for angle closure. Graefes Arch Clin Exp Ophthalmol. 2013;251:1205–1211. doi: 10.1007/s00417-012-2158-6. [DOI] [PubMed] [Google Scholar]
  • 37.Fontana S.T., Brubaker R.F. Volume and depth of the anterior chamber in the normal aging human eye. Arch Ophthalmol. 1980;98:1803–1808. doi: 10.1001/archopht.1980.01020040655013. [DOI] [PubMed] [Google Scholar]
  • 38.Xu L., Cao W.F., Wang Y.X., Chen C.X., Jonas J.B. Anterior chamber depth and chamber angle and their associations with ocular and general parameters: the Beijing Eye Study. Am J Ophthalmol. 2008;145:929–936. doi: 10.1016/j.ajo.2008.01.004. [DOI] [PubMed] [Google Scholar]
  • 39.Baikoff G., Lutun E., Ferraz C., Wei J. Static and dynamic analysis of the anterior segment with optical coherence tomography. J Cataract Refract Surg. 2004;30:1843–1850. doi: 10.1016/j.jcrs.2004.05.024. [DOI] [PubMed] [Google Scholar]

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