KMID : 1100720200400040312
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Annals of Laboratory Medicine 2020 Volume.40 No. 4 p.312 ~ p.316
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Development of an Automated Image Analyzer for Microvessel Density Measurement in Bone Marrow Biopsies
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Chung You-Sun
Shin Seung-Won Shim Hyo-Eun Sohn Ji-Yeon Lee Dong-Eun Lee Hye-Won Eom Hyeon-Seok Kim Kwang-Gi Kong Sun-Young
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Abstract
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Angiogenesis is important for the proliferation and survival of multiple myeloma (MM) cells. Bone marrow (BM) microvessel density (MVD) is a useful marker of angiogenesis and an increase in MVD can be used as a marker of poor prognosis in MM patients. We developed an automated image analyzer to assess MVD from images of BM biopsies stained with anti-CD34 antibodies using two color models. MVD was calculated by merging images from the red and hue channels after eliminating non-microvessels. The analyzer results were compared with those obtained by two experienced hematopathologists in a blinded manner using the 84 BM samples of MM patients. Manual assessment of the MVD by two hematopathologists yielded mean¡¾SD values of 19.4¡¾11.8 and 20.0¡¾11.8. The analyzer generated a mean¡¾SD of 19.5¡¾11.2. The intraclass correlation coefficient (ICC) and Bland-Altman plot of the MVD results demonstrated very good agreement between the automated image analyzer and both hematopathologists (ICC=0.893 [0.840?0.929] and ICC=0.906 [0.859?0.938]). This automated analyzer can provide time- and labor-saving benefits with more objective results in hematology laboratories.
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KEYWORD
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Multiple myeloma, Bone marrow, Microvessel density, Analyzer, Development, Automation
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