Investigative Ophthalmology & Visual Science Cover Image for Volume 56, Issue 9
August 2015
Volume 56, Issue 9
Free
Cornea  |   August 2015
Imaging of the Corneal Subbasal Whorl-like Nerve Plexus: More Accurate Depiction of the Extent of Corneal Nerve Damage in Patients With Diabetes
Author Affiliations & Notes
  • Tsugiaki Utsunomiya
    Department of Ophthalmology Asahikawa Medical University, Asahikawa, Hokkaido, Japan
  • Taiji Nagaoka
    Department of Ophthalmology Asahikawa Medical University, Asahikawa, Hokkaido, Japan
  • Kazuomi Hanada
    Department of Medicine and Engineering Combined Research Institute, Asahikawa Medical University, Asahikawa, Hokkaido, Japan
  • Tsuneaki Omae
    Department of Ophthalmology Asahikawa Medical University, Asahikawa, Hokkaido, Japan
  • Harumasa Yokota
    Department of Ophthalmology Asahikawa Medical University, Asahikawa, Hokkaido, Japan
  • Atsuko Abiko
    Division of Metabolism and Biosystemic Medicine, Department of Medicine, Asahikawa Medical University, Asahikawa, Hokkaido, Japan
  • Masakazu Haneda
    Division of Metabolism and Biosystemic Medicine, Department of Medicine, Asahikawa Medical University, Asahikawa, Hokkaido, Japan
  • Akitoshi Yoshida
    Department of Ophthalmology Asahikawa Medical University, Asahikawa, Hokkaido, Japan
  • Correspondence: Tsugiaki Utsunomiya, Department of Ophthalmology, Asahikawa Medical University, 2-1-1 Midorigaoka Higashi, Asahikawa, Hokkaido, 078-8510, Japan; [email protected]
Investigative Ophthalmology & Visual Science August 2015, Vol.56, 5417-5423. doi:https://doi.org/10.1167/iovs.15-16609
  • Views
  • PDF
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Tsugiaki Utsunomiya, Taiji Nagaoka, Kazuomi Hanada, Tsuneaki Omae, Harumasa Yokota, Atsuko Abiko, Masakazu Haneda, Akitoshi Yoshida; Imaging of the Corneal Subbasal Whorl-like Nerve Plexus: More Accurate Depiction of the Extent of Corneal Nerve Damage in Patients With Diabetes. Invest. Ophthalmol. Vis. Sci. 2015;56(9):5417-5423. https://doi.org/10.1167/iovs.15-16609.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

Purpose: To show that noninvasive in vivo corneal confocal microscopy (IVCM) can make more accurate imaging of the corneal subbasal nerve plexus possible. This diagnostic technique monitors the status of diabetic peripheral neuropathy. However, it is difficult to accurately confirm the corneal area captured by IVCM, which can induce measurement errors. Because the whorl-like characteristic pattern of the corneal subbasal nerve plexus is in the inferocentral cornea, we evaluated whether IVCM images of the whorl-like patterns can accurately evaluate the corneal nerve fibers in diabetic neuropathy.

Methods: Forty-seven patients with diabetes (DM group) and 21 healthy control subjects underwent IVCM examination to compare the characteristics of the corneal subbasal nerve plexus around the central cornea (conventional method) and the whorl-like pattern in the inferocentral cornea (study method). We measured the total corneal nerve fiber and branch length (CNFL).

Results: The total CNFL were significantly shorter in the DM group than in the control group and tended to decrease with progression of diabetic retinopathy, nephropathy, neuropathy, and decreased corneal sensation. There was a significant positive correlation between the CNFL values obtained with the conventional method and those obtained with the study method. The coefficient of variation of the CNFL values in the study method was significantly smaller than in the conventional method.

Conclusions: Our findings indicated that IVCM measurements of the whorl-like patterns may accurately define the extent of corneal nerve damage in order to monitor diabetic peripheral neuropathy.

Established diabetic neuropathy leads to pain and foot ulceration. Early detection of neuropathy may allow treatment interventions to slow or reverse these conditions.1 The current diagnostic approach for diabetic peripheral neuropathy involves medical interviews and examinations, nerve conduction velocity tests, and vibration perception tests. However, previous studies have revealed that small nerve fibers are damaged early in diabetic polyneuropathy and can be detected only using invasive examinations such as skin biopsies.24 Therefore, a noninvasive and repeatable diagnostic approach targeting small nerve fibers is necessary to detect diabetic polyneuropathy early. 
In vivo corneal confocal microscopy (IVCM), a novel noninvasive technique to obtain repeated images of the small nerve fibers that compose the corneal subbasal nerve plexus,5 is now used to evaluate diabetic polyneuropathy because the cornea is the most richly innervated bodily tissue.6 The advantage of IVCM is that it is a noninvasive objective test that targets the small nerve fibers. Fewer corneal nerve fibers are present in patients with diabetes7 and those with impaired glucose tolerance,8 and the corneal nerve fibers also decrease in association with progression of diabetic retinopathy (DR),9,10 nephropathy,11 and neuropathy.1218 Therefore, the abundance of the corneal nerve fibers is considered to reflect the status of diabetic peripheral neuropathy. 
In previous studies, images of the subbasal nerve plexus around the central cornea were used to assess the corneal nerve fibers. However, it was not known definitively which corneal area was being captured by IVCM because the technology captures a small area and no marker of the corneal center is available during the measurement. Accordingly, the areas used for assessment may differ between patients and may change over time in the same patient. Despite the good repeatability of the IVCM parameters,1921 reproducibility and reliability remain an issue.22 
The inferocentral corneal subbasal nerve plexus contains a distinctive whorl-like pattern2325 (Fig. 1A), which may be a more suitable parameter for evaluating the corneal subbasal nerve plexus. Therefore, the aim of the current study was to determine whether the whorl-like pattern of the subbasal nerve plexus in the inferocentral cornea is a more reliable landmark to evaluate the corneal subbasal nerve plexus compared with the conventional method. 
Figure 1
 
Corneal subbasal nerve plexus. (A) A schema of the entire corneal subbasal nerve plexus. The inferocentral cornea contains a distinctive whorl-like pattern of the subbasal nerve plexus. The corneal subbasal nerve plexus appears as a whorl-like pattern in the inferocentral cornea. One image captured by IVCM covers only a small area. (BE) In vivo corneal confocal microscopy images of the corneal subbasal nerve plexus in the same patient. (B) An image of corneal subbasal nerve plexus around the central cornea. (C) Tracing image of (B) using the NeuronJ software. (D) An image of the whorl-like nerve complex in the inferocentral cornea. (E) Tracing image of (D) using the NeuronJ software.
Figure 1
 
Corneal subbasal nerve plexus. (A) A schema of the entire corneal subbasal nerve plexus. The inferocentral cornea contains a distinctive whorl-like pattern of the subbasal nerve plexus. The corneal subbasal nerve plexus appears as a whorl-like pattern in the inferocentral cornea. One image captured by IVCM covers only a small area. (BE) In vivo corneal confocal microscopy images of the corneal subbasal nerve plexus in the same patient. (B) An image of corneal subbasal nerve plexus around the central cornea. (C) Tracing image of (B) using the NeuronJ software. (D) An image of the whorl-like nerve complex in the inferocentral cornea. (E) Tracing image of (D) using the NeuronJ software.
Methods
Study Subjects
This observational study included 47 patients with diabetes and 21 healthy control subjects seen in the Department of Ophthalmology of Asahikawa Medical University Hospital. Diabetes was diagnosed based on the criteria of the Japan Diabetes Society.26 Subjects were considered to have diabetes if they were undergoing treatment with insulin or oral hypoglycemic agents. The exclusion criteria were previous ocular trauma, ocular surgery, any corneal disorder, active ocular disease, or any other systemic disease that might affect the cornea. Patients with any other known cause of neuropathy also were excluded. The current study adhered to the tenets of the Declaration of Helsinki. The local ethics committee approved the study protocol. All subjects provided informed consent after they received a detailed explanation of the study. 
Corneal Sensation and IVCM
Corneal sensitivity was assessed using the Cochet-Bonnet esthesiometer.27 This test mechanically stimulates the corneal nerves by pressing a retractable 60-mm-long monofilament nylon thread 0.12 mm in diameter against the anterior corneal surface. The subjects put their chin on the chin rest of the slit-lamp and indicated when they felt the stimulus. Starting from 60 mm, the filament length was progressively reduced in 5.0-mm increments to increase its rigidity until the first response was obtained. The longest filament length resulting in a positive response was recorded as the indicator of corneal sensitivity. If the filament was shorter than 50 mm, the corneal sensitivity was considered to be abnormal. Laser scanning IVCM was performed using the Rostock Corneal Module/Heidelberg Retina Tomograph III (Heidelberg Engineering GmBH, Dossenheim, Germany). The corneal subbasal nerve plexus layers were scanned using the sequence mode, with a frame rate of 10 frames per second. A 400- × 400-μm frame was used for the images of the nerve plexus. The corneal subbasal nerve plexus around the central cornea was scanned (conventional method). To identify the whorl-like pattern, a fixation lamp was raised slightly and the scanned sites were slowly shifted close to the whorl-like pattern along the nerve. If the distinctive whorl-like pattern was identified, it was scanned (study method). The five clearest images of the subbasal nerve plexus around the central cornea and the clearest image of the whorl-like pattern of the inferocentral cornea were selected. In addition, the three clearest images of the whorl-like pattern were selected to compare the coefficients of variation (CV) between the conventional and the study methods. When both eyes of a patient were eligible for the study, we selected the eye with the best image of the whorl-like nerve plexus. Nerve analysis was performed using the semiautomated tracing program NeuronJ (a plug-in for ImageJ; Erik Meijering, Rotterdam, The Netherlands), which is image analysis software in the public domain distributed by the National Institute of Health (Bethesda, MD, USA).28 The IVCM parameters measured were the total corneal nerve fiber and branch length (CNFL) and corneal nerve fiber and branch density (CNFD). The CNFL was calculated by adding the lengths of all corneal nerve fibers and branches captured in one image and dividing by the square measure of one image. The CNFD was calculated by adding the number of all corneal nerve fibers and branches captured in one image and dividing by the square measure of one image. 
Diagnosis of Diabetic Neuropathy, DR, and Nephropathy
Two internal medicine specialists (AA, MH) diagnosed diabetic neuropathy using the abbreviated diagnostic criteria for diabetic polyneuropathy in Japan.29,30 Diabetic neuropathy was diagnosed when two or more of the following were present: symptoms, no Achilles tendon reflexes, and abnormal scores of the vibration perception threshold using a C128 tuning fork, where bilateral spontaneous pain, hypoesthesia, or paresthesia of the legs was considered a neuropathic symptom. The patients were divided into one of three groups according to the retinal findings based on the Early Treatment Diabetic Retinopathy Study.31 Renal function was evaluated based on the estimated glomerular filtration rate (eGFR) calculated as previously described.32 The following equation from the Modification of the Diet in Retinal Disease Study Group compiled for Japanese individuals was recommended by the Japanese Society of Nephrology:  The absence of chronic kidney disease was defined as eGFR > 90 mL/min/1.73 m2.33  
Statistical Analysis
The data are reported as the means ± standard errors. Statistical analysis was performed using GraphPad Prism version 6.0 for Mac (GraphPad Software, San Diego, CA, USA). An unpaired t-test was used to compare the variables between the patients with diabetes (DM group) and the healthy subjects (control group). Variables within subgroups were compared using one-way analysis of variance followed by Dunnett's multiple comparisons test and posttest for linear trend. The CNFL around the central cornea (conventional CNFL) and the CNFL at the whorl-like nerve plexus (whorl-like CNFL) were compared using Pearson's correlation coefficient. Coefficient of variation of conventional CNFL and that of whorl-like CNFL were compared using an unpaired t-test. P < 0.05 was considered statistically significant. 
Results
Baseline Characteristics of the Study Subjects
No significant differences in age or sex were seen between the DM and control groups. In the DM group, which included six patients with type 1 diabetes and 41 patients with type 2 diabetes, the mean duration of diabetes mellitus was 9.3 ± 6.8 years and the mean level of hemoglobin A1c was 7.6 ± 1.5%. 
Application of the IVCM Technique to the Whorl-like Nerve Plexus
The IVCM technique clearly distinguished the neural patterns of the subbasal corneal nerve plexus around the central cornea (Figs. 1B, 1C) and the whorl-like nerve plexus in the inferocentral cornea (Figs. 1D, 1E) of the same patient with DM. The CNFL and CNFD values were determined based on tracings performed with the NeuronJ software (Figs. 1C, 1E). 
Quantitative Analysis of IVCM Images of the Area Around the Central Cornea
Parametric analysis of the IVCM images indicated that the CNFL around the central cornea (conventional CNFL) was significantly shorter in the DM group than in the control group, regardless of neuropathy (P = 0.0025), severity of DR (P = 0.0042), or corneal sensation (P = 0.0016) (Table 1). In contrast, only patients with diabetes with an eGFR of 60 to 90 mL/min/1.73 m2 had significantly (P = 0.0021) shorter conventional CNFLs than the healthy subjects. The CNFLs showed a decreasing trend associated with disease progression of diabetic neuropathy, DR, nephropathy, and decreased corneal sensation (P = 0.0015, P = 0.0014, P = 0.0268, and P = 0.0015, respectively). 
Table 1
 
The IVCM Parameters Around the Center Cornea in All Subjects
Table 1
 
The IVCM Parameters Around the Center Cornea in All Subjects
The CNFD was significantly (P = 0.0002) lower in the DM group than in the control group and also showed a decreasing trend associated with progression of diabetic neuropathy, DR, nephropathy, and decreased corneal sensation (P = 0.0006, P = 0.0017, P = 0.0137, and P = 0.0003, respectively). 
Comparison of IVCM Parameters Around the Central Cornea and Whorl-like Nerve Plexus
Table 2 shows the IVCM parameters of the subjects for whom images of the whorl-like nerve plexus at the inferocentral cornea were available. Around the central cornea, the DM group had significantly (P = 0.0032) lower conventional CNFL values than the control group (Fig. 2). Conventional measurement of the CNFL showed a decreasing trend associated with disease progression of diabetic neuropathy, DR, nephropathy, and decreased corneal sensation (P = 0.0017, P = 0.0020, P = 0.0014, and P = 0.0030, respectively). The CNFD was significantly lower in the DM group than in the control group and also showed a decreasing trend associated with progression of diabetic neuropathy, DR, nephropathy, and decreased corneal sensation (P = 0.0029, P = 0.0033, P = 0.0022, and P = 0.0049, respectively). 
Table 2
 
The IVCM Parameters in Subjects in Whom We Could Capture the Whorl-like Nerve Plexus
Table 2
 
The IVCM Parameters in Subjects in Whom We Could Capture the Whorl-like Nerve Plexus
Figure 2
 
The whorl-like CNFL and conventional CNFL in the control group and DM group. The data are expressed as the means ± standard errors. Both the whorl-like CNFL and conventional CNFL are significantly shorter in the DM group than in the control group.
Figure 2
 
The whorl-like CNFL and conventional CNFL in the control group and DM group. The data are expressed as the means ± standard errors. Both the whorl-like CNFL and conventional CNFL are significantly shorter in the DM group than in the control group.
The CNFL of the whorl-like nerve plexus was significantly (P = 0.0041) shorter in the DM group than in the control group (Fig. 2). The whorl-like CNFL showed a decreasing trend associated with progression of diabetic neuropathy, DR, nephropathy, and decreased corneal sensation (P = 0.0017, P = 0.0197, P = 0.0046, and P = 0.0113, respectively) (Fig. 3). The whorl-like CNFD is not shown in Table 2 because corneal nerves cannot be counted in the whorl-like nerve plexus. 
Figure 3
 
Relationships of the whorl-like CNFL with diabetic complications. The data are expressed as the means ± standard errors. The whorl-like CNFL shows a decreasing trend associated with progression of diabetic neuropathy, DR, nephropathy, and decreased corneal sensation (P = 0.0017, P = 0.0197, P = 0.0046, and P = 0.0113, respectively).
Figure 3
 
Relationships of the whorl-like CNFL with diabetic complications. The data are expressed as the means ± standard errors. The whorl-like CNFL shows a decreasing trend associated with progression of diabetic neuropathy, DR, nephropathy, and decreased corneal sensation (P = 0.0017, P = 0.0197, P = 0.0046, and P = 0.0113, respectively).
Paired Comparison of Conventional and Whorl-like CNFL
The conventional and whorl-like CNFL measurements were compared using paired analysis on each subject. A significant (r = 0.79, P < 0.0001) correlation was seen between the findings for conventional CNFL and whorl-like CNFL measurements. Whorl-like CNFL values were consistently significantly (P < 0.0001) higher than conventional CNFL values in the control and DM groups (Fig. 4). 
Figure 4
 
Correlation between conventional CNFL and whorl-like CNFL. A significant (r = 0.79, P < 0.0001) correlation exists between the conventional CNFL and whorl-like CNFL. The whorl-like CNFL is significantly (P < 0.0001) greater than the conventional CNFL in the control group and DM group.
Figure 4
 
Correlation between conventional CNFL and whorl-like CNFL. A significant (r = 0.79, P < 0.0001) correlation exists between the conventional CNFL and whorl-like CNFL. The whorl-like CNFL is significantly (P < 0.0001) greater than the conventional CNFL in the control group and DM group.
Paired Comparison of the CVs
The CV of whorl-like CNFL value was significantly (P = 0.0002) smaller than that of the conventional method (Fig. 5). 
Figure 5
 
The CV of the whorl-like CNFL and conventional CNFL. The data are expressed as the means ± standard errors. The CV of the whorl-like CNFL is significantly smaller than that of the conventional method.
Figure 5
 
The CV of the whorl-like CNFL and conventional CNFL. The data are expressed as the means ± standard errors. The CV of the whorl-like CNFL is significantly smaller than that of the conventional method.
Discussion
The current study showed that whorl-like CNFL values were consistently higher than the conventional CNFL values in healthy subjects and patients with diabetes. These data suggested that the CNFL values depend on the corneal area examined by IVCM. Previous reports have shown that the epithelial nerve density in the central area was higher than in the periphery.34 Because the CNFL values are affected by the area of the subbasal nerve plexus captured by IVCM, it is important to capture the same area for an accurate comparison between patients and over time in the same patient. The whorl-like CNFL value may be an ideal parameter for accurately diagnosing peripheral diabetic neuropathy, because the target site is identified easily in the whorl-like nerve complex. 
In addition, the most common pattern of diabetic peripheral neuropathy is distal neuropathy following fiber length–dependent progression.3537 The whorl-like complex is the most distal corneal nerve in that the subbasal nerve plexus runs toward the whorl-like complex in the inferocentral cornea.2325 In fact, the inferior whorl and surrounding area were reported to show the greatest loss of nerve fibers in patients with diabetic neuropathy,38 although that report included only two cases. Our method may be favorable for sensitivity, although additional research is needed. 
The current study showed significant reductions in the conventional CNFL and CNFD values in patients with diabetes compared with healthy subjects. Furthermore, a decreasing trend was detected with progression of DR, nephropathy, neuropathy, and decreased corneal sensation. This was consistent with previous studies reporting that corneal nerve fibers decreased in patients with diabetes7 and in association with progression of DR,9,10 nephropathy,11 and neuropathy.1218 The current CNFL and CNFD values were higher than those in previous studies. Although previous reviews showed that the CNFL and CNFD values varied by study even when using the same microscope,22,39 this would be because we traced even minute nerve filaments in the clearest images. We found a positive correlation between the whorl-like CNFL and conventional CNFL values and the same trend as conventional CNFL. In addition, whorl-like CNFL values varied less than conventional CNFL, suggesting that IVCM measurements of the whorl-like patterns of the corneal subbasal nerve plexus may accurately define the extent of corneal nerve damage. 
The strength of the current study was that whorl analysis was as valid as the conventional measurement and may be more useful because the whorl-like pattern can be reidentified as a distinct corneal landmark for accurate measurement of the corneal subbasal nerve plexus. 
The limitations of the current study were the small number of subjects and the fact that we captured the whorl-like pattern in only half of the subjects. However, we would be able to capture the whorl-like pattern in more subjects if we captured this area first because visual fixation became unstable with fatigue. In addition, patients with type 1 and type 2 diabetes were combined for analysis in the current study. Additional research is needed to confirm our findings in the whorl-like nerve plexus. In vivo corneal confocal microscopy analysis of the whorl-like nerve complex remains challenging. Considerable work and time are required to search for the whorl-like nerve complex, because IVCM captures only a small area. However, less variability occurs when capturing the whorl-like nerve complex. In the near future, capturing the whorl-like nerve complex may be facilitated by new imaging technologies, such as the image–montage technique,40,41 wide imaging technology,34,41,42 autofocus function, and automatic analysis systems.43,44 In addition, a simpler IVCM analyzing technology would allow this platform to become a common diagnostic and monitoring tool for patients with diabetic peripheral neuropathy. 
In conclusion, the current study showed that the whorl-like nerve plexus can be analyzed by IVCM. The whorl-like CNFL value is as sensitive as the conventional CNFL value for the diagnosis and monitoring of peripheral neuropathy in patients with diabetes. Furthermore, our findings indicated that IVCM measurements of the whorl-like patterns may accurately define the extent of corneal nerve damage. Nonetheless, more advanced imaging technologies are necessary to facilitate imaging of the whorl-like nerve plexus. 
Acknowledgments
Disclosure: T. Utsunomiya, None; T. Nagaoka, None; K. Hanada, None; T. Omae, None; H. Yokota, None; A. Abiko, None; M. Haneda, None; A. Yoshida, None 
References
Dyck PJ, Norell JE, Tritschler H, et al. Challenges in design of multicenter trials: end points assessed longitudinally for change and monotonicity. Diabetes Care. 2007; 30: 2619–2625.
Loseth S, Stalberg E, Jorde R, Mellgren SI. Early diabetic neuropathy: thermal thresholds and intraepidermal nerve fibre density in patients with normal nerve conduction studies. J Neurol. 2008; 255: 1197–1202.
Umapathi T, Tan WL, Loke SC, Soon PC, Tavintharan S, Chan YH. Intraepidermal nerve fiber density as a marker of early diabetic neuropathy. Muscle Nerve. 2007; 35: 591–598.
Park TS, Baek HS, Park JH. Advanced diagnostic methods of small fiber diabetic peripheral neuropathy. Diabetes Res Clin Pract. 2007; 77 (suppl 1): S190–S193.
Oliveira-Soto L, Efron N. Morphology of corneal nerves using confocal microscopy. Cornea. 2001; 20: 374–384.
Rozsa AJ, Beuerman RW. Density and organization of free nerve endings in the corneal epithelium of the rabbit. Pain. 1982; 14: 105–120.
Malik RA, Kallinikos P, Abbott CA, et al. Corneal confocal microscopy: a non-invasive surrogate of nerve fibre damage and repair in diabetic patients. Diabetologia. 2003; 46: 683–688.
Tavakoli M, Marshall A, Pitceathly R, et al. Corneal confocal microscopy: a novel means to detect nerve fibre damage in idiopathic small fibre neuropathy. Exp Neurol. 2010; 223: 245–250.
Bitirgen G, Ozkagnici A, Malik RA, Kerimoglu H. Corneal nerve fibre damage precedes diabetic retinopathy in patients with type 2 diabetes mellitus. Diabet Med. 2014; 31: 431–438.
Nitoda E, Kallinikos P, Pallikaris A, et al. Correlation of diabetic retinopathy and corneal neuropathy using confocal microscopy. Curr Eye Res. 2012; 37: 898–906.
Messmer EM, Schmid-Tannwald C, Zapp D, Kampik A. In vivo confocal microscopy of corneal small fiber damage in diabetes mellitus. Graefes Arch Clin Exp Ophthalmol. 2010; 248: 1307–1312.
Petropoulos IN, Alam U, Fadavi H, et al. Corneal nerve loss detected with corneal confocal microscopy is symmetrical and related to the severity of diabetic polyneuropathy. Diabetes Care. 2013; 36: 3646–3651.
Tavakoli M, Quattrini C, Abbott C, et al. Corneal confocal microscopy: a novel noninvasive test to diagnose and stratify the severity of human diabetic neuropathy. Diabetes Care. 2010; 33: 1792–1797.
Quattrini C, Tavakoli M, Jeziorska M, et al. Surrogate markers of small fiber damage in human diabetic neuropathy. Diabetes. 2007; 56: 2148–2154.
Hossain P, Sachdev A, Malik RA. Early detection of diabetic peripheral neuropathy with corneal confocal microscopy. Lancet. 2005; 366: 1340–1343.
Tavakoli M, Petropoulos IN, Malik RA. Assessing corneal nerve structure and function in diabetic neuropathy. Clin Exp Optom. 2012; 95: 338–347.
Edwards K, Pritchard N, Vagenas D, Russell A, Malik RA, Efron N. Utility of corneal confocal microscopy for assessing mild diabetic neuropathy: baseline findings of the LANDMark study. Clin Exp Optom. 2012; 95: 348–354.
Papanas N, Ziegler D. Corneal confocal microscopy: a new technique for early detection of diabetic neuropathy. Curr Diab Rep. 2013; 13: 488–499.
Petropoulos IN, Manzoor T, Morgan P, et al. Repeatability of in vivo corneal confocal microscopy to quantify corneal nerve morphology. Cornea. 2013; 32: e83–e89.
Hertz P, Bril V, Orszag A, et al. Reproducibility of in vivo corneal confocal microscopy as a novel screening test for early diabetic sensorimotor polyneuropathy. Diabet Med. 2011; 28: 1253–1260.
Efron N, Edwards K, Roper N, et al. Repeatability of measuring corneal subbasal nerve fiber length in individuals with type 2 diabetes. Eye Contact Lens. 2010; 36: 245–248.
Patel DV, McGhee CN. In vivo confocal microscopy of human corneal nerves in health in ocular and systemic disease, and following corneal surgery: a review. Br J Ophthalmol. 2009; 93: 853–860.
Patel DV, McGhee CN. In vivo laser scanning confocal microscopy confirms that the human corneal sub-basal nerve plexus is a highly dynamic structure. Invest Ophthalmol Vis Sci. 2008; 49: 3409–3412.
Patel DV, McGhee CN. Mapping of the normal human corneal sub-Basal nerve plexus by in vivo laser scanning confocal microscopy. Invest Ophthalmol Vis Sci. 2005; 46: 4485–4488.
Marfurt CF, Cox J, Deek S, Dvorscak L. Anatomy of the human corneal innervation. Exp Eye Res. 2010; 90: 478–492.
Seino Y, Nanjo K, Tajima N, et al. Report of the committee on the classification and diagnostic criteria of diabetes mellitus. J Diabetes Investig. 2010; 1: 212–228.
Millodot M. A review of research on the sensitivity of the cornea. Ophthalmic Physiol Opt. 1984; 4: 305–318.
Cottrell P, Ahmed S, James C, et al. Neuron J is a rapid and reliable open source tool for evaluating corneal nerve density in herpes simplex keratitis. Invest Ophthalmol Vis Sci. 2014; 55: 7312–7320.
Sasaki H. Abbreviated diagnostic criteria for diabetic polyneuropathy [in Japanese]. Nihon Rinsho. 2010; 68 (suppl 9): 547–550.
Yasuda H, Sanada M, Kitada K, et al. Rationale and usefulness of newly devised abbreviated diagnostic criteria and staging for diabetic polyneuropathy. Diabetes Res Clin Pract. 2007; 77 (suppl 1): S178–S183.
Grading diabetic retinopathy from stereoscopic color fundus photographs—an extension of the modified Airlie House classification. ETDRS report number 10. Early Treatment Diabetic Retinopathy Study Research Group. Ophthalmology. 1991; 98: 786–806.
Matsuo S, Imai E, Horio M, et al. Revised equations for estimated GFR from serum creatinine in Japan. Am J Kidney Dis. 2009; 53: 982–992.
Levey AS, Eckardt KU, Tsukamoto Y, et al. Definition and classification of chronic kidney disease: a position statement from Kidney Disease: Improving Global Outcomes (KDIGO). Kidney Int. 2005; 67: 2089–2100.
He J, Bazan NG, Bazan HE. Mapping the entire human corneal nerve architecture. Exp Eye Res. 2010; 91: 513–523.
Said G, Baudoin D, Toyooka K. Sensory loss pains, motor deficit and axonal regeneration in length-dependent diabetic polyneuropathy. J Neurol. 2008; 255: 1693–1702.
Tesfaye S, Boulton AJ, Dyck PJ, et al. Diabetic neuropathies: update on definitions, diagnostic criteria, estimation of severity, and treatments. Diabetes Care. 2010; 33: 2285–2293.
Bansal V, Kalita J, Misra UK. Diabetic neuropathy. Postgrad Med J. 2006; 82: 95–100.
Edwards K, Pritchard N, Gosschalk K, et al. Wide-field assessment of the human corneal subbasal nerve plexus in diabetic neuropathy using a novel mapping technique. Cornea. 2012; 31: 1078–1082.
Tavakoli M, Petropoulos IN, Malik RA. Corneal confocal microscopy to assess diabetic neuropathy: an eye on the foot. J Diabetes Sci Technol. 2013; 7: 1179–1189.
Turuwhenua JT, Patel DV, McGhee CN. Fully automated montaging of laser scanning in vivo confocal microscopy images of the human corneal subbasal nerve plexus. Invest Ophthalmol Vis Sci. 2012; 53: 2235–2242.
Allgeier S, Maier S, Mikut R, et al. Mosaicking the subbasal nerve plexus by guided eye movements. Invest Ophthalmol Vis Sci. 2014; 55: 6082–6089.
Patel DV, McGhee CN. Techniques for wide-field assessment of the human corneal subbasal nerve plexus. Cornea. 2013; 32: e140–e141.
Dabbah MA, Graham J, Petropoulos IN, Tavakoli M, Malik RA. Automatic analysis of diabetic peripheral neuropathy using multi-scale quantitative morphology of nerve fibres in corneal confocal microscopy imaging. Med Image Anal. 2011; 15: 738–747.
Petropoulos IN, Alam U, Fadavi H, et al. Rapid automated diagnosis of diabetic peripheral neuropathy with in vivo corneal confocal microscopy. Invest Ophthalmol Vis Sci. 2014; 55: 2071–2078.
Figure 1
 
Corneal subbasal nerve plexus. (A) A schema of the entire corneal subbasal nerve plexus. The inferocentral cornea contains a distinctive whorl-like pattern of the subbasal nerve plexus. The corneal subbasal nerve plexus appears as a whorl-like pattern in the inferocentral cornea. One image captured by IVCM covers only a small area. (BE) In vivo corneal confocal microscopy images of the corneal subbasal nerve plexus in the same patient. (B) An image of corneal subbasal nerve plexus around the central cornea. (C) Tracing image of (B) using the NeuronJ software. (D) An image of the whorl-like nerve complex in the inferocentral cornea. (E) Tracing image of (D) using the NeuronJ software.
Figure 1
 
Corneal subbasal nerve plexus. (A) A schema of the entire corneal subbasal nerve plexus. The inferocentral cornea contains a distinctive whorl-like pattern of the subbasal nerve plexus. The corneal subbasal nerve plexus appears as a whorl-like pattern in the inferocentral cornea. One image captured by IVCM covers only a small area. (BE) In vivo corneal confocal microscopy images of the corneal subbasal nerve plexus in the same patient. (B) An image of corneal subbasal nerve plexus around the central cornea. (C) Tracing image of (B) using the NeuronJ software. (D) An image of the whorl-like nerve complex in the inferocentral cornea. (E) Tracing image of (D) using the NeuronJ software.
Figure 2
 
The whorl-like CNFL and conventional CNFL in the control group and DM group. The data are expressed as the means ± standard errors. Both the whorl-like CNFL and conventional CNFL are significantly shorter in the DM group than in the control group.
Figure 2
 
The whorl-like CNFL and conventional CNFL in the control group and DM group. The data are expressed as the means ± standard errors. Both the whorl-like CNFL and conventional CNFL are significantly shorter in the DM group than in the control group.
Figure 3
 
Relationships of the whorl-like CNFL with diabetic complications. The data are expressed as the means ± standard errors. The whorl-like CNFL shows a decreasing trend associated with progression of diabetic neuropathy, DR, nephropathy, and decreased corneal sensation (P = 0.0017, P = 0.0197, P = 0.0046, and P = 0.0113, respectively).
Figure 3
 
Relationships of the whorl-like CNFL with diabetic complications. The data are expressed as the means ± standard errors. The whorl-like CNFL shows a decreasing trend associated with progression of diabetic neuropathy, DR, nephropathy, and decreased corneal sensation (P = 0.0017, P = 0.0197, P = 0.0046, and P = 0.0113, respectively).
Figure 4
 
Correlation between conventional CNFL and whorl-like CNFL. A significant (r = 0.79, P < 0.0001) correlation exists between the conventional CNFL and whorl-like CNFL. The whorl-like CNFL is significantly (P < 0.0001) greater than the conventional CNFL in the control group and DM group.
Figure 4
 
Correlation between conventional CNFL and whorl-like CNFL. A significant (r = 0.79, P < 0.0001) correlation exists between the conventional CNFL and whorl-like CNFL. The whorl-like CNFL is significantly (P < 0.0001) greater than the conventional CNFL in the control group and DM group.
Figure 5
 
The CV of the whorl-like CNFL and conventional CNFL. The data are expressed as the means ± standard errors. The CV of the whorl-like CNFL is significantly smaller than that of the conventional method.
Figure 5
 
The CV of the whorl-like CNFL and conventional CNFL. The data are expressed as the means ± standard errors. The CV of the whorl-like CNFL is significantly smaller than that of the conventional method.
Table 1
 
The IVCM Parameters Around the Center Cornea in All Subjects
Table 1
 
The IVCM Parameters Around the Center Cornea in All Subjects
Table 2
 
The IVCM Parameters in Subjects in Whom We Could Capture the Whorl-like Nerve Plexus
Table 2
 
The IVCM Parameters in Subjects in Whom We Could Capture the Whorl-like Nerve Plexus
×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×