Results 1 to 10 of about 256 (100)

The spirochetal etiology of erythema chronicum migrans Afzelius

open access: hybridActa Dermato-Venereologica, 1984
We have obtained spirochetes from Ixodes (I.) ricinus ticks collected in different areas in Stockholm where erythema chronicum migrans Afzelius (ECMA) cases are known to occur sporadically. Titers of antibody against spirochetal isolates, cultured in modified Kelly´s medium, from Swedish I. ricinus and American I.
E, Asbrink, B, Hederstedt, A, Hovmark
openaire   +4 more sources

Follicular Borreliosis: An Atypical Presentation of Erythema Chronicum Migrans [PDF]

open access: bronzeDermatology, 2009
Lyme serology was positive for both IgG and IgM (ELISA, Enzygnost Borreliosis , Siemens, Dade Behring, Germany, and blot, Euroline WB , Euroimmun, Germany). A punch biopsy of a papule showed a dermal perifollicular ( fig. 2 ) – and occasionnally perineural – infiltrate of lymphocytes and plasma cells, consistent with a borrelial infection.
S. Debarbieux   +7 more
openaire   +3 more sources

Treating erythema chronicum migrans of Lyme disease

open access: bronzeJournal of the American Academy of Dermatology, 1986
The efficacy of antibiotic treatment of 117 patients with erythema chronicum migrans of Lyme disease was evaluated in terms of the necessity for retreatment and the prevention of the late manifestations of Lyme disease. Fifty-six patients with a minor form of the illness did not require retreatment and did not develop late manifestations following ...
Bernard Berger
openaire   +4 more sources

Spirochetes in Lesions of Erythema Chronicum Migrans

open access: bronzeThe American Journal of Dermatopathology, 1982
Clemmensen Oj, Berger Bw, Gottlieb Gj
openaire   +4 more sources

Erythema chronicum migrans: Afzelius and Lipschütz

open access: bronzeJournal of the American Academy of Dermatology, 1985
Karl Holubar
openaire   +3 more sources

Exploring convolutional neural networks with transfer learning for diagnosing Lyme disease from skin lesion images [PDF]

open access: yes, 2021
Lyme disease which is one of the most common infectious vector-borne diseases manifests itself in most cases with erythema migrans (EM) skin lesions. Recent studies show that convolutional neural networks (CNNs) perform well to identify skin lesions from images.
arxiv   +1 more source

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