Morphological Differentiation of Corneal Inflammatory Cells: Proposal of Pragmatic Protocol.

PURPOSE: Corneal confocal microscopy is a noninvasive imaging technique to analyze corneal nerve fibers and corneal inflammatory cells (CICs). The amount of CICs is a potential biomarker of disease activity in chronic autoinflammatory diseases. To date, there are no standardized criteria for the morphological characterization of CICs. The aim was to establish a protocol for a standardized morphological classification of CICs based on a literature search and to test this protocol for applicability and reliability. METHODS: A systematic review of the literature about definitions of CICs was conducted. Existing morphological descriptions were translated into a structured algorithm and applied by raters. Subsequently, the protocol was optimized by reducing and defining the criteria of the cell types. The optimized algorithm was applied by 4 raters. The interrater reliability was calculated using Fleiss kappa (K). RESULTS: A systematic review of the literature revealed no uniform morphological criteria for the differentiation of the individual cell types in CICs. Our first protocol achieved only a low level of agreement between 3 raters (K = 0.09; 1062 rated cells). Our revised protocol was able to achieve a higher interrater reliability with 3 (K = 0.64; 471 rated cells) and 4 (K = 0.61; 628 rated cells) raters. CONCLUSIONS: The indirect use of criteria from the literature leads to a high error rate. By clearly defining the individual cell types and standardizing the protocol, reproducible results were obtained, allowing the introduction of this protocol for the future evaluation of CICs in the corneal confocal microscopy.

Corneal inflammatory cell infiltration predicts disease activity in chronic inflammatory demyelinating polyneuropathy.

The assessment of disease activity is fundamental in the management of chronic inflammatory demyelinating polyneuropathy (CIDP). Previous studies with small patient numbers found an increase of corneal immune cell infiltrates as a potential marker of inflammation in patients with CIDP. However, its clinical relevance remained unclear. The present study aimed to determine whether the amount of corneal inflammatory cells (CIC) measured by corneal confocal microscopy (CCM) detects disease activity in CIDP. CIC were measured in 142 CCM-investigations of 97 CIDP-patients. Data on clinical disease activity, disability (INCAT-ODSS) and need for therapy escalation at the timepoint of CCM, 3 and 6 months later were analyzed depending CIC-count. Pathological spontaneous activity during electromyography was examined as another possible biomarker for disease activity in comparison to CIC-count. An increased CIC-count at baseline was found in patients with clinical disease activity and disability progression in the following 3-6 months. An increase to more than 25 CIC/mm2 had a sensitivity of 0.73 and a specificity of 0.71 to detect clinical disease activity and a sensitivity of 0.77 and a specificity of 0.64 to detect disability progression (increasing INCAT-ODSS) in the following 6 months. An increase to more than 50 CIC/mm2 had a sensitivity of about 0.51 and a specificity of 0.91 to detect clinical disease activity and a sensitivity of 0.53 and a specificity of 0.80 to detect disability progression. CIC count is a non-invasive biomarker for the detection of disease activity in the following 6 months in CIDP.

Neuroimaging markers of clinical progression in chronic inflammatory demyelinating polyradiculoneuropathy.

BACKGROUND: One of the main goals of novel, noninvasive imaging techniques like high-resolution nerve ultrasound (HRUS) and corneal confocal microscopy (CCM) is the prediction of treatment response for patients with chronic inflammatory demyelinating polyradiculoneuropathy (CIDP). METHODS: A total of 17 patients with CIDP were examined prospectively at baseline and every 9 months over a period of 18 months using CCM to quantify corneal nerve degeneration markers and immune cell infiltration as well as HRUS to detect changes of the cross-sectional area (CSA) of the peripheral nerves. Additionally, skin biopsy of the distal and proximal leg as well as quantitative sensory testing were performed at the first follow-up visit. RESULTS: A value of more than 30 total corneal cells/mm2 in CCM at baseline identified patients with clinical progression with a sensitivity/specificity of 100% in our cohort. Corneal nerve fiber density and length remained low and stable over the study period and intra-epidermal fiber density was markedly reduced in the majority of the patients. Furthermore, an increase in Bochum ultrasound score (BUS), which summarizes the CSA of the ulnar nerve in Guyons' canal, the ulnar nerve in the upper arm, the radial nerve in the spiral groove and the sural nerve between the gastrocnemius muscle, and a maximum BUS of 4 at study initiation identified patients with disease progression (sensitivity 80%, specificity 88%). CONCLUSIONS: BUS and corneal total cell infiltration seem to represent early markers for clinical progression in CIDP, thus having the potential to identify at-risk patients and impact treatment decisions.

Implementation of a Quality Index for Improvement of Quantification of Corneal Nerves in Corneal Confocal Microcopy Images: A Multicenter Study.

PURPOSE: Corneal confocal microscopy (CCM) is an imaging method to detect loss of nerve fibers in the cornea. The impact of image quality on the CCM parameters has not been investigated. We developed a quality index (QI) with 3 stages for CCM images and compared the influence of the image quality on the quantification of corneal nerve parameters using 2 modes of analysis in healthy volunteers and patients with known peripheral neuropathy. METHODS: Images of 75 participants were a posteriori analyzed, including 25 each in 3 image quality groups (QI 1-QI 3). Corneal nerve fiber length (CNFL) was analyzed using automated and semiautomated software, and corneal nerve fiber density and corneal nerve branch density were quantified using automated image analysis. Three masked raters assessed CCM image quality (QI) independently and categorized images into groups QI 1-QI 3. In addition, statistical analysis was used to compare interrater reliability. Analysis of variance was used for analysis between the groups. Interrater reliability analysis between the image ratings was performed by calculating Fleiss' kappa and its 95% confidence interval. RESULTS: CNFL, corneal nerve fiber density, and corneal nerve branch density increased significantly with QI (P < 0.001, all post hoc tests P < 0.05). CNFL was higher using semiautomated compared with automated nerve analysis, independent of QI. Fleiss kappa coefficient for interrater reliability of QI was 0.72. CONCLUSIONS: The quantification of corneal nerve parameters depends on image quality, and poorer quality images are associated with lower values for corneal nerve parameters. We propose the QI as a tool to reduce variability in quantification of corneal nerve parameters.

Confocal Cornea Microscopy Detects Involvement of Corneal Nerve Fibers in a Patient with Light-Chain Amyloid Neuropathy Caused by Multiple Myeloma: A Case Report.

Changes in the subbasal corneal plexus detected by confocal cornea microscopy (CCM) have been described for various types of neuropathy. An involvement of these nerves within light-chain (AL) amyloid neuropathy (a rare cause of polyneuropathy) has never been shown. Here, we report on a case of a patient suffering from neuropathy caused by AL amyloidosis and underlying multiple myeloma. Small-fiber damage was detected by CCM.