Rui Xie
Bingjie Qiu1,2
Jay Chhablani
Xinyuan Zhang- 1Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Tongren Hospital, Capital Medical University, Beijing, China
- 2Beijing Retinal and Choroidal Vascular Diseases Study Group, Beijing, China
- 3The University of Pittsburgh Medical Center Eye Center, University of Pittsburgh, Pittsburgh, PA, United States
The choroid is the main source of blood and nourishment supply to the eye. The dysfunction of the choroid has been implicated in various retinal and choroidal diseases. The identification and in-depth understanding of pachychoroid spectrum disorders are based on the tremendous progress of optical coherence tomography (OCT) technology in recent years, although visibility of choroid is challenging in the era of the time or spectral domain OCT. The recent rapid revolution of OCTs, such as the enhanced depth imaging OCT and the swept-source OCT, has greatly contributed to the significant improvement in the analysis of the morphology and physiology of the choroid precisely, especially to the choroid–scleral boundary and vasculature. The present review highlights the recently available evidence on the measurement methodology and the clinical significance of choroidal thickness in retinal or choroidal disorders.
Introduction
The choroid is mainly composed of blood vessels and is the posterior portion of the uveal tract with rich and slow blood flow. As the main source of blood supply to the retinal epithelium, the outer retina, and the optic nerve, the choroid plays a significant role in maintaining the normal metabolism of the retinal pigment epithelium (RPE) and photoreceptors (1). The dysfunction of the choroid has been implicated in various retinal and choroidal diseases. Additionally, choroidal thickness (ChT) is a sensitive biomarker in the prediction, diagnosis, intervention, and follow-up of various acute or chronic retinal and choroidal diseases, including polypoidal choroidal vasculopathy (PCV), central serous chorioretinopathy (CSCR), and idiopathic macular hole (IMH) (2–4).
Optical coherence tomography (OCT) is a non-invasive fundus imaging modality, which plays a vital role in revealing the pathogenesis and development of retinal–choroidal diseases. Compared to other imaging modalities, OCT has greatly improved clinical diagnosis and research since its inception in the 1990s. Furthermore, the wide use of OCT-angiography boosts the OCT field from structural imaging to vascular imaging and provides an opportunity for the quantitative analysis of both ocular structure and vasculature, especially the choroid thickness. Compared to the traditional methods such as ultrasound and indocyanine green angiography (ICGA), the advantage of OCT is non-invasive and repeatable with a higher resolution (5, 6).
Choroidal thickness measuring in vivo has been reported in various diseases using different available methods/devices including ultrasound and OCT since 1979 (7, 8). To date, ChT has become a vital predictive imaging biomarker for both retinal and choroidal disorders. In-depth understanding of pathogenesis of these disorders drives us to understand the standard method to measure ChT.
Presently, there is no unified international protocol for ChT measurement by OCT, the most popular methods being manual and automatic segmentation. In this review, we have highlighted the recently available evidence on the measurement methodology of ChT, and the significance of ChT in various retinal or choroidal disorders.
Anatomical Characteristics of the Choroid
The choroid is located between the retina and the sclera. Anatomically, from inside toward outside, it has been described as five layers: Bruch's membrane (BrM), the choroidal capillary (CC), the Sattler, the Haller layers, and the suprachoroid cavity. Approximately 90% of the ocular blood perfusion is supplied by the choroid, 70% of which is from the CC layer. The CC layer has high blood flow, high vascular density, and abundant interstices that play a significant role in the metabolism of photoreceptor cells and the RPE (9). The choroidal blood vasculature is distributed in a leaflet shape and arranged into layers. As the choroidal blood vessel is the only source of nourishment supply for the fovea, the sub-macular choroid is the thickest part. The large vessel calibers of the Haller layer run parallel with its branch in a fan shape, forming a network of lobular capillaries, which communicate with each other and supply blood in different regions. The function of these anastomoses is to shunt blood to balance the circulation pressure of the lobules, and it is the basis for maintaining the function of the retina (9–11). In addition to the blood supply, choroid tissue has various functions, including temperature regulation and the absorption of light to form a dark chamber (12) (Figure 1).
Figure 1. A schematic diagram of the human choroid and the corresponding OCT signal. (A) Segmentation of the retina and choroid as shown by SS-OCT B-scan (Plex Elite 9000, Carl Zeiss Meditec, Inc., Oberkochen, Germany). (B) A partially enlarged image of the OCT B-scan signal corresponding with a schematic diagram (C). OCT, optical coherence tomography; SS-OCT, swept-source OCT; RPE, retinal pigment epithelium.
Principle of Choroid Imaging by OCT
As a non-invasive fundus imaging technology, OCT works by dividing the monochromatic light into two beams through the coupler: the reference arm and the measuring arm, which penetrates the intraocular refractive stroma to the surface of the retina. The two beams are reflected by a mirror, and the fundus tissue could be assessed, respectively. After being combined with the coupler from the interference, the beams were detected by the photodetector based on the heterogeneity and different depths of the tissue. The two or three-dimensional structure images of the biological tissue can be obtained by collecting the varied reflected interference signal (13).
Time domain (TD)-OCT realizes axial scanning (A scan) by reference to the rapid changes in the optical delay lines generated by the mechanical motion of the reference arm, but the scanning depth is limited, and the speed is slow (14, 15). The reference arm of the spectral domain (SD)-OCT is fixed, the interference signal data is recorded through the spectrometer receiver and assessed by Fourier (inverse) transform to obtain the axial depth information, thus greatly improving the speed and depth of the OCT (16). Nevertheless, due to the attenuation and scattering of light by the RPE, TD-OCT, and SD-OCT cannot delineate the choroid details and choroidal scleral interface, rendering it challenging to achieve a high-resolution tomography of the choroid. In addition, Spaide et al. developed an enhanced depth imaging (EDI)-OCT in 2008, which can measure ChT for the first time by moving the zero delay line toward the choroid to present the choroid details of the structure (17). With the development of laser technology, swept-source (SS)-OCT emerged, which improved the imaging speed, depth, software algorithm, and eye-movement tracking technology. This increases the tissue resolution and image signal-to-noise ratio and contributed to an in-depth understanding of choroidal diseases (18–20).
However, compared to ICGA, OCT can only detect the lesion in a static state. Various blood flows are graded to interpret the active blood flow lesions in the dynamic state and quantitate the blood signal, which would be the trend in the future.
EDI-OCT and the Choroid
Conventional SD-OCT uses a high-resolution spectrophotometer to separate the wavelengths due to the zero-delay line at the posterior vitreous boundary level and the light scattering of the RPE layer, making the obtained tomographic images unable to identify the choroid–scleral interface clearly. EDI-OCT proposed by Spaide for the first time in 2008 (17), with a central wavelength of 850 nm, made the zero-delay line to the choroid by moving the device closer to the eye, thus improving image resolution and facilitating the identification of the choroid–scleral interface. In addition, the image averaging technique could increase the signal-to-noise ratio and reduce speckle for enhanced choroid visualization (21, 22) (Figure 2).
Figure 2. A representative EDI-OCT B-scan imaging of a 57 years old subject. The choroid boundary is detected vaguely. An EDI-OCT (Optovue, Inc., California, United States) B-scan image shows the choroid–sclera boundary (arrows) with a central wavelength of 850 nm, which made the zero-delay line to the choroid by moving the device closer to the eye, thus improving image resolution and facilitating the identification of the choroid–scleral interface. EDI OCT, enhanced depth imaging OCT; SD-OCT, spectral domain OCT.
SS-OCT and the Choroid
Compared to SD-OCT, SS-OCT uses a light source with a longer wavelength and a double-balanced light detector. The central wavelength is 1,050 nm/1,060 nm, with strong penetration, and hence is less affected by the light scattering of RPE, lens turbidities, and less signal attenuation, giving a better visualization of the deep layer (23–25). SS-OCT could reach up to 6 mm of depth, 200,000 A scans per second (Plex Elite 9000, Carl Zeiss Meditec, Inc., Oberkochen, Germany), and 6.3 μm of axial resolution (26). After technical innovation of SS-OCT in microelectronics mechanical systems, tunable filter technology, and vertical-current surface-emitting laser, an intensive scanning mode and greater scanning area are realized. Beyond that, the eye movement artifact could be reduced to improve the quality of imaging and make faster imaging inspection with higher efficiency and a wide scanning range (27–29) (Figure 3).
Figure 3. A representative imaging of SS-OCT in normal subject. The boundary of choroid–scleral (arrows) and choroidal vasculature in a 49 year-old man are clearly shown using an SS-OCT (Plex Elite 9000, Carl Zeiss Meditec, Inc., Oberkochen, Germany). SS-OCT could reach up to 6 mm depth, 200,000 A scans per second (Plex Elite 9000) with 200,000 A scans per second, and 6.3 μm of axial resolution.
Methods for Measuring ChT
Histopathological and Ultrasound
The ChT measured by histopathology is objective but thinner than the true value with respect to the choroid, which is a highly vascularized tissue and ChT varying with its blood perfusion. Moreover, histological fixation can lead to the deformation and shrinkage of the choroid, and the correlation between the measured value and the true value cannot be quantified accurately (30, 31). ICGA is a traditional method for assessing the morphology of choroidal vessels but could not provide anatomical tomography images.
The resolution of ultrasound is lower than that of OCT for choroidal tomography. Ultrasound at 20 MHz achieves posterior imaging, which is mainly used in the case of refractive media opacity and can evaluate the deeper structure (32).
Optical Coherence Tomography
Presently, there is no international unified reference standard for OCT measurement of ChT. The mainstream methods are mainly divided into manual single-point or multi-point measurement and automatic segmentation methods (Table 1).
Table 1. Methods for measuring choroidal thickness.
Manual Method
Manual methods have been described as single-point and multi-point methods. Theoretically, subfoveal choroidal thickness (SFCT) is the thickest part of the choroid, but single-point measurement cannot reflect the overall information of the choroid (47). The multi-point methods were further categorized into horizontal and vertical techniques. The horizontal multi-point method was utilized to measure the SFCT, the nasal and temporal sides of the fovea. The multipoint can be three points, seven points, and nine points. The three points are located at 750 μm and 1,000 μm to the fovea temporally and nasally, the seven points and nine points are located at 500 μm intervals in the horizontal section (6, 35, 36, 39, 40). Some other multi-point methods simultaneously measure the ChT horizontally and vertically. Five or nine points are placed at the SFCT and its superior, inferior, nasal, and temporal sides. The five points are located at the 1,500 μm or 3,000 μm to the fovea superiorly, inferiorly, temporally and nasally. The nine-points are located at the 1,000 μm, 3,000 μm or with the 1,500 μm interval to the fovea superiorly, inferiorly, temporally and nasally (37, 38, 41, 42). Although manual measurement has good repeatability (48), it is difficult to avoid errors. The multipoint and multi-quadrant measurement reflects the average ChT, the distribution, and trend of ChT in cohort population and reduces the single-point error (Figure 4).
Figure 4. Manual measuring methods. A representation of imaging showing the routinely used manual measuring methods. (A) We took SS-OCT (Plex Elite 9000, Carl Zeiss Meditec, Inc., Oberkochen, Germany) as an example to display the single-point method (arrow). (B) The three-point method (the fovea, at 750 nasally to the fovea and temporal to the fovea, arrows). (C) The three-point method (the fovea, 1,000 μm nasally to the fovea and temporally to the fovea, arrows). (D) The seven-point method (the fovea, 500, 1,000, and 1,500 μm nasally and temporally to the fovea respectively, arrows).
Automatic Segmentation Method
The choroid is segmented scanned by EDI-OCT (Heidelberg Spectralis, Heidelberg Engineering, Heidelberg, Germany) and SS-OCT (Triton DRI OCT, Topcon, Tokyo, Japan) through the Early Treatment Diabetic Retinopathy Study (ETDRS) grid using the Heidelberg Engineering software and the TOPCON Advanced Boundary Segmentation-TABS software (49, 50). Each image is constituted by the average of 32 overlapping continuous scans, covering an area of 12 mm × 9 mm with 12 radial scans, providing a three-dimensional ChT mapping by measuring ChT at any point in the macula (51). The reference line is adjusted from the retinal boundary (the internal limiting membrane—RPE) to the choroid boundary (the RPE–choroid–scleral junction), and then an ETDRS map is generated automatically, which can be corrected manually. The ETDRS grid is composed of three concentric circles: the diameter of the fovea, parafovea, and perifovea are 1, 3, and 6 mm, respectively. The average ChT in the central circular and the eight sectors of the nasal inner macula, superior inner macula, temporal inner macula, inferior inner macula, nasal outer macula, superior outer macula, temporal outer macula, and inferior outer macula areas can be calculated, respectively (44–46, 52, 53) (Figure 5).
Figure 5. The ETDRS automatic segmentation method using TOPCON advanced boundary segmentation-TABS software. An ETDRS map is generated automatically, which can be corrected manually. The ETDRS grid is composed of three concentric circles: the diameter of the fovea, parafovea, and perifovea are 1, 3, and 6 mm, respectively. The average choroidal thickness in the central circular and the eight sectors of superior, inferior, nasal, and temporal areas can be calculated, respectively. ETDRS, Early Treatment Diabetic Retinopathy Study.
Choroidal Thickness and its Influencing Factors
The majority of the studies measured the ChT as the height from the BrM to the choroid–scleral interface (33, 37, 40, 54, 55); however, some studies have defined it as the height from the lower boundary of the hyperreflective RPE to the choroid–scleral interface (34, 38, 42, 43, 56). Margolis and Spaide (57) pointed out that subfoveal CT (SFCT) is the thickest part in the average age of 50.4-years among the 54 normal eyes in a retrospective study, and the average SFCT was 287 ± 76 microns by using Spectralis OCT (Spectralis, Heidelberg Engineering Co, Germany). Subsequently, ChT is rather thin from subfoveal to peripheral retina, temporal thicker than nasal, upward than downward, and peri-optic papilla is the thinnest, which is associated with choroidal vein distribution (58). Interestingly, the results of the study by Ikuno and Ruiz-Moreno are similar (59, 60).
As one of the objective biomarkers for the evaluation of choroid, ChT is dependent on the physiological and pathological factors of the body, and varies with age, refractive, axial length, or diurnal variation (17, 61, 62). A large number of studies have confirmed that age and axial length are the primary factors influencing ChT, and both are negatively correlated with ChT (63–65). Spaide et al. pointed out that ChT decreases 15 μm per 10 years (17). In a longitudinal study based on 3,233 Chinese individuals, SFCT was reported to be 254 ± 107 μm (Spectralis, Heidelberg Engineering Co) with an average age of 65 years (55). Lee et al. reported that SFCT was [median (IQR): 370] 312–406 μm (Spectralis, Heidelberg Engineering Co.) in 741 young adults aged 19–30 years (66).
In addition, the normal ChT differs among different measuring instruments. Bhayana (63) reported that the ChT measured by SS-OCT (DRI-OCT Triton Plus, Topcon, Tokyo, Japan) was slightly higher than that of SD-OCT (Spectralis, Heidelberg Engineering Co.), which was consistent with the results of Matsuo and Copete. This could be attributed to the ability of SS-OCT to identify the choroid–scleral interface precisely (67–69).
Moreover, it is yet to be elucidated whether cardiovascular risk factors have an impact on the choroid as it is a vascular tissue. In a case–control study, Schuster et al. (40) demonstrated that SFCT was associated with the left ventricular end-diastolic blood pressure, systolic blood pressure, epidermal growth factor receptor, and dyslipidemia. By logistic analysis, it was suggested that this correlation is associated with age. Thus, additional qualitative and quantitative studies are warranted to provide more clinical evidence of ChT.
Clinical Significance of ChT
The choroid provides oxygen and nutrition to the outer five layers of the retina and plays a vital role in the metabolism of RPE and photoreceptors. Therefore, its pathological state is closely related to several diseases, especially pachychoroid spectrum diseases (PCDs), age-related macular degeneration (AMD), and choroidal atrophy associated with pathological myopia. Choroidal vasodilation and/or hyper-perfusion and elevated hydrostatic pressure lead to increased choroidal permeability and focal choroidal exudation with ChT thickening (70). While hypoperfusion and ChT thinning lead to metabolic disorders of RPE and photoreceptor, the growth factors secreted by RPE are insufficient to maintain the physiological needs of the choroidal vessels in reverse, which form a vicious circle and accelerate the progress of the disease (71). Therefore, ChT can be used as a quantitative index to evaluate and reveal the pathophysiology of choroidal diseases.
Diseases With Increased ChT
Pachychoroid Spectrum Diseases
Pachychoroid spectrum disease is a new entity in recent years, which is characterized by the thickening of choroidal layers and dysfunction of choroidal vasculature. PCD usually exhibits chronic continuous thickening and abnormal expansion of the vasculature in the Haller layer and compression of the Sattler and CC layers. The dysfunction of the RPE–BrM–CC complex, intralobular congestion, and stasis may produce an ischemic microenvironment, promote vascular endothelial growth factor (VEGF) expression, leading to secondary choroidal neovascularization (72). Presently, PCD comprises seven major diseases: CSCR, pachychoroid pigment epitheliopathy, pachychoroid neovasculopathy, PCV/aneurysmal type 1 neovascularization, peripapillary pachychoroid disease, and focal choroidal excavation (73).
Polypoidal choroidal vasculopathy is a choroidal vascular disease characterized by polypoidal lesions with diffuse or local dilation of choroidal vascular endings and an abnormal branch vascular network. In a cross-sectional study, Jordan-Yu et al. investigated 100 treatment-naïve PCV eyes, and they found that total lesion areas and polypoidal lesion areas tend to be larger in eyes with increasing SFCT (74), indicating that the pathological features of choroidal background might be the predictive factors influencing the phenotype or progression of PCV. Furthermore, choroidal thickening is a major risk factor in the pathogenesis of PCV, which is a strong evidence differentiated from wet AMD.
Central serous chorioretinopathy is characterized by serous detachment of the neurosensory retina secondary to one or more focal lesions of the RPE. In a prospective study, 34 patients with CSCR in 44 eyes were assessed by SS-OCT. The average ChT in the choroidal leakage area in fluorescein fundus angiography was significantly greater than that in the non-leakage area, and the average ChT in the high permeability region in ICGA was significantly larger than that in the non-pathological area, indicating that increase of hydrostatic pressure in the local choroidal region contributes to CSCR (3). Furthermore, ChT plays a major role in the follow-up of CSCR, which predicts the recurrence or progression of CSCR (75, 76). Half-dose or half-fluence photodynamic therapy reduces SFCT, but patients with a thicker choroid are more likely to have recurrence CSCR (77, 78).
Peripheral Exudative Hemorrhagic Chorioretinopathy
Peripheral exudative hemorrhagic chorioretinopathy (PEHCR), also known as eccentric degeneration, extramacular disciform degeneration, and peripheral AMD, is characterized by peripheral subretinal or sub-RPE hemorrhages and/or exudation or peripheral neovascularization in elderly patients. PEHCR primarily affects the neurosensory retina or RPE and the lesions are mostly located at the temporal side of the retina (79). PEHCR and PCV share some mutual clinical and pathophysiological features such as serous or hemorrhagic pigment epithelium detachment, lipid exudation, and abnormal choroid branching vascular network visible on ICGA or OCTA, suggesting that PEHCR may be a peripheral subtype of PCV (80). Yorihisa et al. (81) documented that PEHCR has choroidal vascular alterations resembling PCV in the affected area on ICGA in a 74-year-old patient. In a retrospective, observational, comparative case series, the choroid was significantly thicker in temporal periphery in PEHCR eyes than that in control eyes (272.70 ± 80.20 μm vs. 166.60 ± 40.10 μm, p = 0.0002), the mean large choroidal vessel thickness is significantly thicker in PEHCR eyes in comparison with the control eyes (202.40 ± 50.80 μm vs.160.60 ± 40.50 μm, p = 0.0235), suggesting the favor inclusion of PEHCR in the pachychoriod disease spectrum (82). Larger cohort studies are warranted to further understand the pathophysiology of PEHCR and to investigate whether PEHCR is a new entity of PCD.
Vogt–Koyanagi–Harada Disease
Vogt—Koyanagi–Harada (VKH) is autoimmune granulomatous inflammatory disorder, involving bilateral eyes. Studies have shown that the ChT increased in the acute stage of VKH while it decreased in the recovery period (83, 84). Nakayama (85) demonstrated that the subclinical manifestations were >100 μm ChT with recurrent VKH before ocular inflammation; therefore, ChT could be used as an indicator for the acute deterioration of inflammation. In patients with chronic VKH (average course of disease 106.3 months), Jap et al. (86) found that the mean SFCT (272.38 ± 118.72 μm) in the active period verified by ICGA was significantly higher than that in the quiet period (187.31 ± 109.90 μm) (P = 0.002), SFCT could be used to monitor the activity of chronic VKH. However, continuously thinning ChT was observed in patients with long-term chronic VKH (36).
Diseases With Decreased ChT
Age-Related Macular Degeneration
Wet AMD is characterized by the formation of the macular neovascularization (MNV), dry form is characterized by atrophy of RPE and photoreceptors. Moderate-sized drusen (>63 μm in diameter) and RPE changes were the early stage of pathologic changes, proceeding with geographic atrophy and MNV in the late stage. Clinical studies have shown that ChT in patients with advanced AMD was thinner than that of normal controls, while it did not differ from that of normal individuals with early AMD (87–89). Decreased ChT reflects the degree of choroidal atrophy, suggesting that the development of AMD is related to the involvement and loss of microvessels, which is an indicator in the differential of PCV (37).
The occurrence and development of MNV are accompanied by choroidal thickening in the corresponding local regions, and thus, regular measurement of ChT is valuable in predicting MNV formation (90). Furthermore, SFCT could be used as an independent predictor of prognosis of wet AMD, the thicker the choroid is, the more anti-VEGF intervention is needed (91).
Pathological Myopia
Several studies have confirmed that the decrease in ChT is related to the degree of refraction. SFCT becomes thinner with the increase in diopter and the lengthening of the ocular axis, accompanied by the thinning of the sclera (92–94). It has been reported that SFCT decreased by 15 μm for every 1 D increase in the myopia diopter, and 32 μm for every 1 mm increase in the axial length in the range of myopia diopter above −1.00 D (55). Ho et al. (56) reported that the average SFCT (118 ± 68 μm) was negatively correlated with diopter in a cross-sectional study of 56 myopic patients (average diopter −8.7 D); for every 1 D increase, SFCT decreased by 6.205 μm; and for every 10 μm increase in SFCT, visual acuity improved by 0.02 LogMAR visual acuity. Choroidal thinning is correlated with the pathogenesis of myopic fundus lesions. A 2-year prospective study revealed that SFCT is an independent predictor of the progression of myopic macular disease (95). With the increase in diopter and axial length, ChT becomes thinner, proceeded with decreased retinal blood supply leading to secondary pathological changes such as lacquer cracks and MNV-related maculopathy.
Idiopathic Macular Hole
Idiopathic macular hole is characterized by retinal neuroepithelial tissue defect in the fovea, which is the most common type of macular hole. IMHs are more common in females than in males and usually manifest in 55 years or older adults. In a cross-sectional study of 50 patients with IMH, Zeng et al. (41) revealed that the SFCT of IMH (206.82 ± 67.09 μm) was significantly thinner than that of the controls (248.88 ± 63.10 μm) (P = 0.002), and the SFCT of contralateral eyes (228.34 ± 80.71 μm) was thinner than that of controls, albeit not significantly. The results of the studies by Zhang and Reibaldi were consistent, suggesting that choroidal perfusion may play a vital role in the pathogenesis of IMH. The contralateral eye with thinner ChT was also prone to IMH, such that routine follow-up is necessary (4, 96). However, Sogawa pointed out that SFCT did not have a significant correlation with total choroidal blood flow and subfoveal choroidal blood flow (97). In conclusion, except for the traction mechanism proposed by Gass (98), the significant thinning of ChT may be related to the ischemic degeneration of the outer retina, which might be crucial for the occurrence and development of IMH.
Other Systemic Diseases
Craig et al. found that decreased ChT in chronic kidney disease correlated with lower estimated glomerular filtration rate and severe proteinuria, concomitated with the increased expression level of IL-6, C-reactive protein, and endothelin-1 (99). It was also found that endothelial dysfunction markers (endothelin-1, von Willebrand factor) were negatively correlated with ChT in cirrhosis patients (100), indicating that the morphological changes of the choroid are mediated by inflammatory diseases. Further well-designed randomized clinical trials are warranted to investigate whether ChT can be used as an auxiliary biomarker for systemic disorders. In addition, the thinner choroid in patients with Alzheimer's disease was found, which may be associated with vascular wall deposition of amyloid beta-protein (101). Similarly, whether ChT could be used as an early biomarker of Alzheimer's disease to predict disease progression is yet to be confirmed.
Conclusion
Currently, EDI SD-OCT and SS-OCT could be used clinically due to its non-invasive, high-resolution, cross-sectional imaging characteristics of the choroid and measuring the ChT with good repeatability (6, 102). To date, there is no unified standard for ChT measurement that is carried out manually or via automatic segmentation method according to the ETDRS grid. Thus, methods for ChT measurement need to be standardized to objectively reflect the choroidal structure and reveal its clinical significance in the occurrence and development of the diseases. The establishment of ChT normal value needs large-scale, multicenter research to explore the pathogenesis of the fundus diseases and provide a new horizon on the management. In addition, whether ChT could quantitatively reflect the choroidal blood flow needs further study. The eye could be regarded as a monitoring window of systemic diseases and an auxiliary biomarker of the eye or systemic diseases, which plays a vital role in the diagnosis, management, and follow-up of diseases.
Author Contributions
XZ contributed to the conception and revised the manuscript. RX drafted the manuscript. BQ helped to draft the manuscript. JC provided comments and revised the manuscript. All authors contributed to the manuscript revision, read, and approved the submitted version.
Funding
This work was supported by the National Natural Science Foundation of China [Grant Nos: 81570850, 81170859, and 82070988] and the Ministry of Science and Technology Foundation of China [Grant No: 2016YFC1305604].
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's Note
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Keywords: choroidal thickness, optical coherence tomography, swept-source optical coherence tomography, methodology, morphological investigation
Citation: Xie R, Qiu B, Chhablani J and Zhang X (2021) Evaluation of Choroidal Thickness Using Optical Coherent Tomography: A Review. Front. Med. 8:783519. doi: 10.3389/fmed.2021.783519
Received: 26 September 2021; Accepted: 18 October 2021;
Published: 03 December 2021.
Edited by:
Hetian Lei, Shenzhen Eye Hospital, ChinaReviewed by:
Yifei Zhang, Hospital Conde S. Januário, Macao SAR, ChinaRamesh Venkatesh, Narayana Nethralaya, India
Copyright © 2021 Xie, Qiu, Chhablani and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Xinyuan Zhang, bW16eHkyMDEwJiN4MDAwNDA7MTYzLmNvbQ==