[Indirect Revascularization Surgery for Chronic Ischemia in Moyamoya Disease].


Journal

No shinkei geka. Neurological surgery
ISSN: 0301-2603
Titre abrégé: No Shinkei Geka
Pays: Japan
ID NLM: 0377015

Informations de publication

Date de publication:
Jul 2022
Historique:
entrez: 10 8 2022
pubmed: 11 8 2022
medline: 12 8 2022
Statut: ppublish

Résumé

Indirect revascularization is a surgical procedure to reduce cerebral ischemia, using subcutaneous tissues or dura mater supplied by extracranial arteries as grafts. The perfusion pressure gradient between the cortex and the graft, if present, induces arteriogenesis and develops extracranial-intracranial anastomoses to supply blood flow to the cerebral cortex underneath the graft. Therefore, it is essential to perform the craniotomy over the site of the cerebral ischemia to induce functional anastomoses. The details of the indirect revascularization procedure vary among institutes in terms of the grafts used(skin arteries, such as the superficial temporal artery; temporal muscle, galea, or pericranium), dura mater incisions(removal and replacement with the grafts, linear incision, or multiple small incisions), and the location and size of the craniotomy. Indirect revascularization is especially effective in patients with moyamoya disease because the pathophysiology of the disease itself is related to intracranial to extracranial carotid system conversion. Generally, indirect revascularization was considered ineffective in patients with atherosclerotic steno-occlusive cerebrovascular disease; however, recent clinical trials suggested that it may also be effective in these patients. If a future clinical trial demonstrates a positive outcome, indirect revascularization may become a possible treatment for atherosclerotic patients.

Identifiants

pubmed: 35946372
pii: 1436204626
doi: 10.11477/mf.1436204626
doi:

Types de publication

Journal Article

Langues

jpn

Sous-ensembles de citation

IM

Pagination

826-838

Auteurs

Shoko Hara (S)

Department of Neurosurgery, Tokyo Medical and Dental University.

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Classifications MeSH