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Comparison of manual and digital microvascular density counting of RECK expression in glioma.
Rahmah, Nunung Nur; Sakai, Keiichi; Li, Yuhui; Sano, Kenji; Hongo, Kazuhiro.
Afiliación
  • Rahmah NN; Department of Neurosurgery, Shinshu University School of Medicine Laboratory Medicine, Shinshu Ueda Medical Center, Ueda, Japan.
Neuropathology ; 32(3): 245-51, 2012 Jun.
Article en En | MEDLINE | ID: mdl-22098593
A microvascular density (MVD) counting method for reversion-inducing cysteine-rich protein with Kazal motifs (RECK) expression, using a digital image analysis tool, has advantages over manual counting by microscope. Thirty glioma cases with RECK staining were photographed at a magnification of 200× high power field and the photographs in RGB images were analyzed, and stained vessels were captured and were counted automatically. MVD with RECK expression using a digital image analysis tool showed comparable results to those of the manual method. RECK intensity expression could show linear correlation with grades of glioma by the digital method, which was superior compared to the manual method. The present method is recommended to researchers undertaking MVD study for glioma.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Recuento de Células / Proteínas Ligadas a GPI / Glioma Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Neuropathology Asunto de la revista: NEUROLOGIA / PATOLOGIA Año: 2012 Tipo del documento: Article País de afiliación: Japón

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Recuento de Células / Proteínas Ligadas a GPI / Glioma Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Neuropathology Asunto de la revista: NEUROLOGIA / PATOLOGIA Año: 2012 Tipo del documento: Article País de afiliación: Japón