Division of Research, Weill Cornell Medicine-Qatar, Doha, Qatar.
School of Computer Science, University of Nottingham, Nottingham, UK.
Transl Vis Sci Technol. 2020 Aug 28;9(9):43. doi: 10.1167/tvst.9.9.43. eCollection 2020 Aug.
Quantification of corneal confocal microscopy (CCM) images has shown a significant reduction in corneal nerve fiber length (CNFL) in a range of peripheral neuropathies. We assessed whether corneal nerve fractal dimension (CNFrD) analysis, a novel metric to quantify the topological complexity of corneal subbasal nerves, can differentiate peripheral neuropathies of different etiology.
Ninety patients with peripheral neuropathy, including 29 with diabetic peripheral neuropathy (DPN), 34 with chronic inflammatory demyelinating polyneuropathy (CIDP), 13 with chemotherapy-induced peripheral neuropathy (CIPN), 14 with human immunodeficiency virus-associated sensory neuropathy (HIV-SN), and 20 healthy controls (HCs), underwent CCM for estimation of corneal nerve fiber density (CNFD), CNFL, corneal nerve branch density (CNBD), CNFrD, and CNFrD adjusted for CNFL (ACNFrD).
In patients with DPN, CIDP, CIPN, or HIV-SN compared to HCs, CNFD ( = 0.004-0.0001) and CNFL ( = 0.05-0.0001) were significantly lower, with a further significant reduction among subgroups. CNFrD was significantly lower in patients with CIDP compared to HCs and patients with HIV-SN ( = 0.02-0.0009) and in patients with DPN compared to HCs and patients with HIV-SN, CIPN, or CIDP ( = 0.001-0.0001). ACNFrD was lower in patients with CIPN, CIDP, or DPN compared to HCs ( = 0.03-0.0001) and in patients with DPN compared to those with HIV-SN, CIPN, or CIDP ( = 0.01-0.005).
CNFrD can detect a distinct pattern of corneal nerve loss in patients with DPN or CIDP compared to those with CIPN or HIV-SN and controls.
Various peripheral neuropathies are characterized by a comparable degree of corneal nerve loss. Assessment of corneal nerve topology by CNFrD could be useful in differentiating neuropathies based on the pattern of loss.
角膜共焦显微镜(CCM)图像的量化分析显示,在一系列周围神经病变中,角膜神经纤维长度(CNFL)显著减少。我们评估了角膜神经分形维数(CNFrD)分析是否可以区分不同病因的周围神经病变,这是一种量化角膜基底神经拓扑复杂性的新指标。
90 例周围神经病变患者,包括 29 例糖尿病周围神经病变(DPN)、34 例慢性炎症性脱髓鞘性多发性神经病(CIDP)、13 例化疗诱导的周围神经病(CIPN)、14 例人类免疫缺陷病毒相关性感觉神经病(HIV-SN)和 20 例健康对照(HC),接受 CCM 检查以评估角膜神经纤维密度(CNFD)、CNFL、角膜神经分支密度(CNBD)、CNFrD 和 CNFL 校正后的 CNFrD(ACNFrD)。
与 HCs 相比,DPN、CIDP、CIPN 或 HIV-SN 患者的 CNFD(=0.004-0.0001)和 CNFL(=0.05-0.0001)显著降低,亚组间进一步显著降低。与 HCs 和 HIV-SN 患者相比,CIDP 患者的 CNFrD 显著降低(=0.02-0.0009),与 HCs、HIV-SN、CIPN 或 CIDP 患者相比,DPN 患者的 CNFrD 也显著降低(=0.001-0.0001)。与 HCs 相比,CIPN、CIDP 或 DPN 患者的 ACNFrD 降低(=0.03-0.0001),与 HIV-SN、CIPN 或 CIDP 患者相比,DPN 患者的 ACNFrD 也降低(=0.01-0.005)。
与 CIPN 或 HIV-SN 患者和对照组相比,DPN 或 CIDP 患者的 CNFrD 可检测到不同的角膜神经丢失模式。通过 CNFrD 评估角膜神经拓扑结构可能有助于根据丢失模式区分神经病变。
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