Jens Randel Nyengaard

An unbiased stereological method for corneal confocal microscopy in patients with diabetic polyneuropathy

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An unbiased stereological method for corneal confocal microscopy in patients with diabetic polyneuropathy. / Schaldemose, Ellen L.; Hammer, Rasmus E.; Ferdousi, Maryam; Malik, Rayaz A.; Nyengaard, Jens R.; Karlsson, Páll.

In: Scientific Reports, Vol. 10, 12550, 07.2020.

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@article{746311ca871746769d171954fb2fcc4c,
title = "An unbiased stereological method for corneal confocal microscopy in patients with diabetic polyneuropathy",
abstract = "Corneal confocal microscopy (CCM) derived corneal nerve measures are lower in diabetic sensorimotor polyneuropathy (DSPN). There are, however, methodological challenges in relation to adequate and unbiased sampling of images with objective corneal nerve quantification. Here we compare a new sampling method and adjusted area calculation with established methods of corneal nerve quantification in patients with and without DSPN and healthy controls. CCM images from 26 control subjects and 62 patients with type 1 diabetes with (n = 17) and without (n = 45) DSPN were analyzed. The images were randomly selected and corneal nerve fiber length (CNFL), corneal nerve fiber branch density (CNBD) and corneal nerve fiber density (CNFD) were determined in both a manual and automated manner. The new method generated 8–40% larger corneal nerve parameters compared to the standard procedure (p < 0.05). CNFL was significantly reduced using the new method for both manual and automated analysis; whilst CNFD and CNBD were significantly reduced using the automated method in both diabetic groups compared with controls. The new, objective method showed a reduction in corneal nerve parameters in diabetic patients with and without DSPN. We recommend using a randomized sampling method and area-dependent analysis to enable objective unbiased corneal nerve quantification.",
author = "Schaldemose, {Ellen L.} and Hammer, {Rasmus E.} and Maryam Ferdousi and Malik, {Rayaz A.} and Nyengaard, {Jens R.} and P{\'a}ll Karlsson",
year = "2020",
month = jul,
doi = "10.1038/s41598-020-69314-2",
language = "English",
volume = "10",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",

}

RIS

TY - JOUR

T1 - An unbiased stereological method for corneal confocal microscopy in patients with diabetic polyneuropathy

AU - Schaldemose, Ellen L.

AU - Hammer, Rasmus E.

AU - Ferdousi, Maryam

AU - Malik, Rayaz A.

AU - Nyengaard, Jens R.

AU - Karlsson, Páll

PY - 2020/7

Y1 - 2020/7

N2 - Corneal confocal microscopy (CCM) derived corneal nerve measures are lower in diabetic sensorimotor polyneuropathy (DSPN). There are, however, methodological challenges in relation to adequate and unbiased sampling of images with objective corneal nerve quantification. Here we compare a new sampling method and adjusted area calculation with established methods of corneal nerve quantification in patients with and without DSPN and healthy controls. CCM images from 26 control subjects and 62 patients with type 1 diabetes with (n = 17) and without (n = 45) DSPN were analyzed. The images were randomly selected and corneal nerve fiber length (CNFL), corneal nerve fiber branch density (CNBD) and corneal nerve fiber density (CNFD) were determined in both a manual and automated manner. The new method generated 8–40% larger corneal nerve parameters compared to the standard procedure (p < 0.05). CNFL was significantly reduced using the new method for both manual and automated analysis; whilst CNFD and CNBD were significantly reduced using the automated method in both diabetic groups compared with controls. The new, objective method showed a reduction in corneal nerve parameters in diabetic patients with and without DSPN. We recommend using a randomized sampling method and area-dependent analysis to enable objective unbiased corneal nerve quantification.

AB - Corneal confocal microscopy (CCM) derived corneal nerve measures are lower in diabetic sensorimotor polyneuropathy (DSPN). There are, however, methodological challenges in relation to adequate and unbiased sampling of images with objective corneal nerve quantification. Here we compare a new sampling method and adjusted area calculation with established methods of corneal nerve quantification in patients with and without DSPN and healthy controls. CCM images from 26 control subjects and 62 patients with type 1 diabetes with (n = 17) and without (n = 45) DSPN were analyzed. The images were randomly selected and corneal nerve fiber length (CNFL), corneal nerve fiber branch density (CNBD) and corneal nerve fiber density (CNFD) were determined in both a manual and automated manner. The new method generated 8–40% larger corneal nerve parameters compared to the standard procedure (p < 0.05). CNFL was significantly reduced using the new method for both manual and automated analysis; whilst CNFD and CNBD were significantly reduced using the automated method in both diabetic groups compared with controls. The new, objective method showed a reduction in corneal nerve parameters in diabetic patients with and without DSPN. We recommend using a randomized sampling method and area-dependent analysis to enable objective unbiased corneal nerve quantification.

UR - http://www.scopus.com/inward/record.url?scp=85088650609&partnerID=8YFLogxK

U2 - 10.1038/s41598-020-69314-2

DO - 10.1038/s41598-020-69314-2

M3 - Journal article

C2 - 32724219

AN - SCOPUS:85088650609

VL - 10

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

M1 - 12550

ER -