Acta Stereologica

0351-580X

 

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Jacqueline Selva, Gérard Said, Tilman Drueke & Damien Schoevaert-Brossault

Quantitative automated analysis of sural nerve biopsies from patients with uraemic polyneuropathy

(Volume 1 (1982) — Number 2 - Stereology 82 - Sheffield - Dec. 1982)
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Abstract

A controlled automatic method of human cross section analysis was used to study myelinated fibres in sural nerves. The biopsies were performed on 8 uraemic patients with polyneuropathy and 3 controls. The microscopic image was transmitted by a Plumbicon television camera to a Cambridge Instruments image analyser (QTT 720) connected to a digital computer PDP 11/34. The measured variables included fibre density, the histograms of fibre diameters and myelin sheath thickness. Rapid and precise results were obtained by this method. They demonstrated axonal loss in uraemic patients and suggested demyelination in one patient. The method used in association with single fibre studies allowed us to demonstrate different clinico-pathologic patterns of uraemic polyneuropathy, including an acute axonal degeneration with secondary demyelination or a predominantly demyelinating neuropathy associated with slight axonal pathology.

Para citar este artículo

Jacqueline Selva, Gérard Said, Tilman Drueke & Damien Schoevaert-Brossault, «Quantitative automated analysis of sural nerve biopsies from patients with uraemic polyneuropathy», Acta Stereologica [En ligne], Volume 1 (1982), Number 2 - Stereology 82 - Sheffield - Dec. 1982, 341-346 URL : https://popups.uliege.be/0351-580x/index.php?id=4492.

Acerca de: Jacqueline Selva

Laboratoire d'Histologie, CHU, 78 rue du Général Leclerc, 94270 Le Kremlin-Bicetre, France

Acerca de: Gérard Said

Service de Neurologie, CHU, 78 rue du Général Leclerc, 94270 Le Kremlin-Bicetre, France

Acerca de: Tilman Drueke

Département de Néphrologie, Hôpital Necker, 149 rue de Sèvres, 75015 Paris, France

Acerca de: Damien Schoevaert-Brossault

Laboratoire d'Histologie, CHU, 78 rue du Général Leclerc, 94270 Le Kremlin-Bicetre, France