title: Comparison of manual and digital microvascular density counting of RECK expression in glioma.
abstract: 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.
authors.affiliation: Department of Neurosurgery, Shinshu University School of Medicine Laboratory Medicine, Shinshu Ueda Medical Center, Ueda, Japan.
authors.forename: Nunung Nur
authors.initials: NN
authors.lastname: Rahmah
authors.forename: Keiichi
authors.initials: K
authors.lastname: Sakai
authors.forename: Yuhui
authors.initials: Y
authors.lastname: Li
authors.forename: Kenji
authors.initials: K
authors.lastname: Sano
authors.forename: Kazuhiro
authors.initials: K
authors.lastname: Hongo
mesh_terms: D014408:Biomarkers, Tumor; D001932:Brain Neoplasms / Q000098:blood supply / Q000378:metabolism* / Q000473:pathology*; D002452:Cell Count / Q000295:instrumentation / Q000379:methods*; D058851:GPI-Linked Proteins / Q000096:biosynthesis*; D005910:Glioma / Q000098:blood supply / Q000378:metabolism* / Q000473:pathology*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007150:Immunohistochemistry; D011379:Prognosis; D012039:Regional Blood Flow / Q000502:physiology; D015203:Reproducibility of Results
chemical_list: D014408:Biomarkers, Tumor; D058851:GPI-Linked Proteins; C115460:RECK protein, human