Second-order spatial analysis of epidermal nerve fibers
Breakthroughs in imaging of skin tissue reveal new details on the distribution of nerve fibers in the epidermis. Preliminary neurologic studies indicate qualitative differences in the spatial patterns of nerve fibers based on pathophysiologic conditions in the subjects. Of particular interest is the...
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Published in | Statistics in medicine Vol. 30; no. 23; pp. 2827 - 2841 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Chichester, UK
John Wiley & Sons, Ltd
15.10.2011
Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
ISSN | 0277-6715 1097-0258 1097-0258 |
DOI | 10.1002/sim.4315 |
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Abstract | Breakthroughs in imaging of skin tissue reveal new details on the distribution of nerve fibers in the epidermis. Preliminary neurologic studies indicate qualitative differences in the spatial patterns of nerve fibers based on pathophysiologic conditions in the subjects. Of particular interest is the evolution of spatial patterns observed in the progression of diabetic neuropathy. It appears that the spatial distribution of nerve fibers becomes more ‘clustered’ as neuropathy advances, suggesting the possibility of diagnostic prediction based on patterns observed in skin biopsies. We consider two approaches to establish statistical inference relating to this observation. First, we view the set of locations where the nerves enter the epidermis from the dermis as a realization of a spatial point process. Secondly, we treat the set of fibers as a realization of a planar fiber process. In both cases, we use estimated second‐order properties of the observed data patterns to describe the degree and scale of clustering observed in the microscope images of blister biopsies. We illustrate the methods using confocal microscopy blister images taken from the thigh of one normal (disease‐free) individual and two images each taken from the thighs of subjects with mild, moderate, and severe diabetes and report measurable differences in the spatial patterns of nerve entry points/fibers associated with disease status. Copyright © 2011 John Wiley & Sons, Ltd. |
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AbstractList | Breakthroughs in imaging of skin tissue reveal new details on the distribution of nerve fibers in the epidermis. Preliminary neurologic studies indicate qualitative differences in the spatial patterns of nerve fibers based on pathophysiologic conditions in the subjects. Of particular interest is the evolution of spatial patterns observed in the progression of diabetic neuropathy. It appears that the spatial distribution of nerve fibers becomes more 'clustered' as neuropathy advances, suggesting the possibility of diagnostic prediction based on patterns observed in skin biopsies. We consider two approaches to establish statistical inference relating to this observation. First, we view the set of locations where the nerves enter the epidermis from the dermis as a realization of a spatial point process. Secondly, we treat the set of fibers as a realization of a planar fiber process. In both cases, we use estimated second-order properties of the observed data patterns to describe the degree and scale of clustering observed in the microscope images of blister biopsies. We illustrate the methods using confocal microscopy blister images taken from the thigh of one normal (disease-free) individual and two images each taken from the thighs of subjects with mild, moderate, and severe diabetes and report measurable differences in the spatial patterns of nerve entry points/fibers associated with disease status. Breakthroughs in imaging of skin tissue reveal new details on the distribution of nerve fibers in the epidermis. Preliminary neurologic studies indicate qualitative differences in the spatial patterns of nerve fibers based on pathophysiologic conditions in the subjects. Of particular interest is the evolution of spatial patterns observed in the progression of diabetic neuropathy. It appears that the spatial distribution of nerve fibers becomes more ‘clustered’ as neuropathy advances, suggesting the possibility of diagnostic prediction based on patterns observed in skin biopsies. We consider two approaches to establish statistical inference relating to this observation. First, we view the set of locations where the nerves enter the epidermis from the dermis as a realization of a spatial point process. Secondly, we treat the set of fibers as a realization of a planar fiber process. In both cases, we use estimated second‐order properties of the observed data patterns to describe the degree and scale of clustering observed in the microscope images of blister biopsies. We illustrate the methods using confocal microscopy blister images taken from the thigh of one normal (disease‐free) individual and two images each taken from the thighs of subjects with mild, moderate, and severe diabetes and report measurable differences in the spatial patterns of nerve entry points/fibers associated with disease status. Copyright © 2011 John Wiley & Sons, Ltd. Breakthroughs in imaging of skin tissue reveal new details on the distribution of nerve fibers in the epidermis. Preliminary neurologic studies indicate qualitative differences in the spatial patterns of nerve fibers based on pathophysiologic conditions in the subjects. Of particular interest is the evolution of spatial patterns observed in the progression of diabetic neuropathy. It appears that the spatial distribution of nerve fibers becomes more 'clustered' as neuropathy advances, suggesting the possibility of diagnostic prediction based on patterns observed in skin biopsies. We consider two approaches to establish statistical inference relating to this observation. First, we view the set of locations where the nerves enter the epidermis from the dermis as a realization of a spatial point process. Secondly, we treat the set of fibers as a realization of a planar fiber process. In both cases, we use estimated second-order properties of the observed data patterns to describe the degree and scale of clustering observed in the microscope images of blister biopsies. We illustrate the methods using confocal microscopy blister images taken from the thigh of one normal (disease-free) individual and two images each taken from the thighs of subjects with mild, moderate, and severe diabetes and report measurable differences in the spatial patterns of nerve entry points/fibers associated with disease status. [PUBLICATION ABSTRACT] Breakthroughs in imaging of skin tissue reveal new details on the distribution of nerve fibers in the epidermis. Preliminary neurologic studies indicate qualitative differences in the spatial patterns of nerve fibers based on pathophysiologic conditions in the subjects. Of particular interest is the evolution of spatial patterns observed in the progression of diabetic neuropathy. It appears that the spatial distribution of nerve fibers becomes more 'clustered' as neuropathy advances, suggesting the possibility of diagnostic prediction based on patterns observed in skin biopsies. We consider two approaches to establish statistical inference relating to this observation. First, we view the set of locations where the nerves enter the epidermis from the dermis as a realization of a spatial point process. Secondly, we treat the set of fibers as a realization of a planar fiber process. In both cases, we use estimated second-order properties of the observed data patterns to describe the degree and scale of clustering observed in the microscope images of blister biopsies. We illustrate the methods using confocal microscopy blister images taken from the thigh of one normal (disease-free) individual and two images each taken from the thighs of subjects with mild, moderate, and severe diabetes and report measurable differences in the spatial patterns of nerve entry points/fibers associated with disease status.Breakthroughs in imaging of skin tissue reveal new details on the distribution of nerve fibers in the epidermis. Preliminary neurologic studies indicate qualitative differences in the spatial patterns of nerve fibers based on pathophysiologic conditions in the subjects. Of particular interest is the evolution of spatial patterns observed in the progression of diabetic neuropathy. It appears that the spatial distribution of nerve fibers becomes more 'clustered' as neuropathy advances, suggesting the possibility of diagnostic prediction based on patterns observed in skin biopsies. We consider two approaches to establish statistical inference relating to this observation. First, we view the set of locations where the nerves enter the epidermis from the dermis as a realization of a spatial point process. Secondly, we treat the set of fibers as a realization of a planar fiber process. In both cases, we use estimated second-order properties of the observed data patterns to describe the degree and scale of clustering observed in the microscope images of blister biopsies. We illustrate the methods using confocal microscopy blister images taken from the thigh of one normal (disease-free) individual and two images each taken from the thighs of subjects with mild, moderate, and severe diabetes and report measurable differences in the spatial patterns of nerve entry points/fibers associated with disease status. |
Author | Myllymäki, Mari Waller, Lance A. Olsbo, Viktor Särkkä, Aila Kennedy, William R. Wendelschafer-Crabb, Gwen Panoutsopoulou, Ioanna G. |
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Cites_doi | 10.2307/2531159 10.1002/9781119115151 10.1198/016214502388618735 10.1080/01621459.1991.10475087 10.1001/archneur.55.12.1513 10.1002/0471662682 10.1007/BF00329435 10.1212/WNL.47.4.1042 10.1002/9780470725160 10.1111/j.2517-6161.1977.tb01615.x 10.1016/B978-0-7216-9491-7.50037-5 10.1002/(SICI)1097-4598(199903)22:3<360::AID-MUS9>3.0.CO;2-J 10.1016/j.jns.2005.11.010 10.1016/0022‐510X(93)90223‐L 10.1111/1467‐9574.00144 10.1212/01.wnl.0000340984.74563.1c 10.1111/j.1365‐2818.2007.01711.x 10.1785/0119990090 10.2307/2986181 10.2307/3212829 |
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References | Diggle PJ. Statistical Analysis of Spatial Point Patterns. Arnold: London, 2003. Baddeley AJ, Moyeed RA, Howard CV, Boyde A. Analysis of a three-dimensional point pattern with replication. Applied Statistics 1993; 42:641-668. Wendelschafer-Crabb G, Kennedy WR, Walk D. Morphological features of nerves in skin biopsies. Journal of the Neurological Sciences 2006; 242:15-21. DOI: 10.1016/j.jns.2005.11.010. Kennedy WR, Nolano M, Wendelschafer-Crabb G, Johnson TL, Tamura E. A skin blister method to study epidermal nerves in peripheral nerve disease. Muscle and Nerve 1999; 22:360-371. Cressie NAC. Statistics for Spatial Data, 2nd ed. Wiley: New York, 1993. Kennedy WR, Wendelschafer-Crabb G, Johnson T. Quantitation of epidermal nerves in diabetic neuropathy. Neurology 1996; 47:1042-1048. Ripley BD. Modelling spatial patterns (with discussion). Journal of the Royal Statistical Society, Series B 1977; 39:172-212. Illian J, Penttinen A, Stoyan H, Stoyan D. Statistical Analysis and Modelling of Spatial Point Patterns. Wiley: Chichester, 2008. Waller LA, Gotway CA. Applied Spatial Statistics for Public Health Data. Wiley: Hoboken, NJ, 2004. Kennedy WR, Wendelschafer-Crabb G. The innervation of human epidermis. Journal of the Neurological Sciences 1993; 115:184-190. DOI: 10.1016/0022-510X(93)90223-L. Schoenberg F, Bolt B. Short-term exciting, long-term correcting models for earthquake catalogs. Bulletin of the Seismological Society of America 2000; 90(4):849-858. Wang L, Hilliges M, Jernberg T, Wiegleb-Edström D, Johansson O. Protein gene product 9.5-immunoreactive nerve fibers and cells in human skin. Cell and Tissue Research 1990; 261:25-33. Panoutsopoulou IG, Wendelschafer-Crabb G, Hodges JS, Kennedy WR. Skin blister and skin biopsy for quantifying epidermal nerve: a comparative study. Neurology 2009; 72(14):1205-1210. DOI: 10.1212/01.wnl.0000340984.74563.1c. Baddeley AJ, Silverman BW. A cautionary example on the use of second-order methods for analyzing point patterns. Biometrics 1984; 40:1089-1093. Diggle PJ, Lange N, Beneš FM. Analysis of variance for replicated spatial point patterns in clinical neuroanatomy. Journal of the American Statistical Association 1991; 86:618-625. McArthur JC, Stocks EA, Hauer P, Cornblath DR, Griffin JW. Epidermal nerve fiber density: normative reference range and diagnostic efficiency. Archives of Neurology 1998; 55:1513-1520. DOI: 10.1001/archneur.55.12.1513. Besag JE. Comment on 'Modelling spatial patterns' by B.D. Ripley. Journal of the Royal Statistical Society Series B 1977; 39:193-195. Nisslert R, Kvarnström M, Lorén N, Nydén M, Rudemo M. Identification of the three-dimensional gel microstructure from transmission electron micrographs. Journal of Microscopy 2007; 225:10-21. DOI: 10.1111/j.1365-2818.2007.01711.x. Baddeley AJ, Møller J, Waagepetersen R. Non- and semi-parametric estimation of interaction in inhomogeneous point patterns. Statistica Neerlandica 2000; 54:329-350. DOI: 10.1111/1467-9574.00144. Stoyan D, Kendall WS, Mecke J. Stochastic Geometry and Its Applications, 2nd ed. Wiley: Chichester, 1995. Reilly C, Schacker T, Haase AT, Wietgrefe S, Krason D. The clustering of infected SIV cells in lymphatic tissue. Journal of the American Statistical Association 2002; 97:943-954. DOI: 10.1198/016214502388618735. Ripley BD. The second-order analysis of stationary point processes. Journal of Applied Probability 1976; 13:255-266. 1984; 40 2007; 225 1976; 13 2002; 97 2009; 72 1977; 39 2000; 54 1991; 86 1993; 42 2008 1999; 22 2006; 242 1995 2005 2000; 90 1993 2004 2003 1996; 47 1993; 115 1998; 55 1990; 261 Besag JE (e_1_2_6_17_1) 1977; 39 e_1_2_6_21_1 Stoyan D (e_1_2_6_20_1) 1995 e_1_2_6_9_1 e_1_2_6_8_1 e_1_2_6_19_1 e_1_2_6_5_1 e_1_2_6_4_1 e_1_2_6_7_1 e_1_2_6_6_1 Diggle PJ (e_1_2_6_10_1) 2003 e_1_2_6_13_1 Ripley BD (e_1_2_6_15_1) 1977; 39 e_1_2_6_14_1 e_1_2_6_24_1 e_1_2_6_3_1 e_1_2_6_11_1 e_1_2_6_23_1 e_1_2_6_2_1 e_1_2_6_12_1 e_1_2_6_22_1 e_1_2_6_18_1 e_1_2_6_16_1 |
References_xml | – reference: Kennedy WR, Wendelschafer-Crabb G, Johnson T. Quantitation of epidermal nerves in diabetic neuropathy. Neurology 1996; 47:1042-1048. – reference: Kennedy WR, Nolano M, Wendelschafer-Crabb G, Johnson TL, Tamura E. A skin blister method to study epidermal nerves in peripheral nerve disease. Muscle and Nerve 1999; 22:360-371. – reference: Diggle PJ. Statistical Analysis of Spatial Point Patterns. Arnold: London, 2003. – reference: Illian J, Penttinen A, Stoyan H, Stoyan D. Statistical Analysis and Modelling of Spatial Point Patterns. Wiley: Chichester, 2008. – reference: Besag JE. Comment on 'Modelling spatial patterns' by B.D. Ripley. Journal of the Royal Statistical Society Series B 1977; 39:193-195. – reference: Schoenberg F, Bolt B. Short-term exciting, long-term correcting models for earthquake catalogs. Bulletin of the Seismological Society of America 2000; 90(4):849-858. – reference: Reilly C, Schacker T, Haase AT, Wietgrefe S, Krason D. The clustering of infected SIV cells in lymphatic tissue. Journal of the American Statistical Association 2002; 97:943-954. DOI: 10.1198/016214502388618735. – reference: Panoutsopoulou IG, Wendelschafer-Crabb G, Hodges JS, Kennedy WR. Skin blister and skin biopsy for quantifying epidermal nerve: a comparative study. Neurology 2009; 72(14):1205-1210. DOI: 10.1212/01.wnl.0000340984.74563.1c. – reference: Waller LA, Gotway CA. Applied Spatial Statistics for Public Health Data. Wiley: Hoboken, NJ, 2004. – reference: Baddeley AJ, Moyeed RA, Howard CV, Boyde A. Analysis of a three-dimensional point pattern with replication. Applied Statistics 1993; 42:641-668. – reference: Diggle PJ, Lange N, Beneš FM. Analysis of variance for replicated spatial point patterns in clinical neuroanatomy. Journal of the American Statistical Association 1991; 86:618-625. – reference: Baddeley AJ, Møller J, Waagepetersen R. Non- and semi-parametric estimation of interaction in inhomogeneous point patterns. Statistica Neerlandica 2000; 54:329-350. DOI: 10.1111/1467-9574.00144. – reference: Kennedy WR, Wendelschafer-Crabb G. The innervation of human epidermis. Journal of the Neurological Sciences 1993; 115:184-190. DOI: 10.1016/0022-510X(93)90223-L. – reference: Ripley BD. The second-order analysis of stationary point processes. Journal of Applied Probability 1976; 13:255-266. – reference: Wendelschafer-Crabb G, Kennedy WR, Walk D. Morphological features of nerves in skin biopsies. Journal of the Neurological Sciences 2006; 242:15-21. DOI: 10.1016/j.jns.2005.11.010. – reference: Cressie NAC. Statistics for Spatial Data, 2nd ed. Wiley: New York, 1993. – reference: Wang L, Hilliges M, Jernberg T, Wiegleb-Edström D, Johansson O. Protein gene product 9.5-immunoreactive nerve fibers and cells in human skin. Cell and Tissue Research 1990; 261:25-33. – reference: Ripley BD. Modelling spatial patterns (with discussion). Journal of the Royal Statistical Society, Series B 1977; 39:172-212. – reference: Nisslert R, Kvarnström M, Lorén N, Nydén M, Rudemo M. Identification of the three-dimensional gel microstructure from transmission electron micrographs. Journal of Microscopy 2007; 225:10-21. DOI: 10.1111/j.1365-2818.2007.01711.x. – reference: McArthur JC, Stocks EA, Hauer P, Cornblath DR, Griffin JW. Epidermal nerve fiber density: normative reference range and diagnostic efficiency. Archives of Neurology 1998; 55:1513-1520. DOI: 10.1001/archneur.55.12.1513. – reference: Baddeley AJ, Silverman BW. A cautionary example on the use of second-order methods for analyzing point patterns. Biometrics 1984; 40:1089-1093. – reference: Stoyan D, Kendall WS, Mecke J. Stochastic Geometry and Its Applications, 2nd ed. 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Snippet | Breakthroughs in imaging of skin tissue reveal new details on the distribution of nerve fibers in the epidermis. Preliminary neurologic studies indicate... |
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SubjectTerms | cells Computer Simulation Data Interpretation, Statistical Diabetic Neuropathies - pathology Diabetic neuropathy Humans K function Microscopy, Confocal Monte Carlo Method Nerve Fibers - pathology Nerve Fibers - ultrastructure Neurology Neurons pair-correlation function Physiology point patterns Probability Theory and Statistics Sannolikhetsteori och statistik Skin Skin - innervation Skin - ultrastructure skin blister spatial point/fiber processes |
Title | Second-order spatial analysis of epidermal nerve fibers |
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