BACKGROUND/AIM: Tumor growth is dependent upon angiogenesis. Tumor vascularity, as measured by microvessel density or Chalkley counts, has been shown to predict treatment outcome. However, many issues related to reproducibility and methodology have prevented its clinical application. We present a method of automatic vessel identification applied to CD34 immunohistochemical sections which facilitates increased reproducibility. MATERIALS AND METHODS: Pixel colour information was used to identify CD34 stain. In order to reduce the effects of noise and background, stained areas smaller than 3.5 μm were ignored. RESULTS: Comparing automatic and manual vessel counts in 50 randomly selected breast cancer cases, the method achieved an intraclass correlation coefficient of r(a)(2)=0.96 and a 95% confidence interval for the percentage difference between the counts from -26.1% to 10.8%. The method was also found to have a sensitivity approaching 100%. CONCLUSION: The method can reliably be used on colour photographs of staining for CD34 to quantify angiogenesis.
BACKGROUND/AIM: Tumor growth is dependent upon angiogenesis. Tumor vascularity, as measured by microvessel density or Chalkley counts, has been shown to predict treatment outcome. However, many issues related to reproducibility and methodology have prevented its clinical application. We present a method of automatic vessel identification applied to CD34 immunohistochemical sections which facilitates increased reproducibility. MATERIALS AND METHODS: Pixel colour information was used to identify CD34 stain. In order to reduce the effects of noise and background, stained areas smaller than 3.5 μm were ignored. RESULTS: Comparing automatic and manual vessel counts in 50 randomly selected breast cancer cases, the method achieved an intraclass correlation coefficient of r(a)(2)=0.96 and a 95% confidence interval for the percentage difference between the counts from -26.1% to 10.8%. The method was also found to have a sensitivity approaching 100%. CONCLUSION: The method can reliably be used on colour photographs of staining for CD34 to quantify angiogenesis.
Authors: Daniel Kaemmerer; Maria Athelogou; Amelie Lupp; Isabell Lenhardt; Stefan Schulz; Peter Luisa; Merten Hommann; Vikas Prasad; Gerd Binnig; Richard Paul Baum Journal: Int J Clin Exp Pathol Date: 2014-07-15
Authors: Anca Haisan; Radu Rogojanu; Camelia Croitoru; Daniela Jitaru; Cristina Tarniceriu; Mihai Danciu; Eugen Carasevici Journal: Biomed Res Int Date: 2013-09-01 Impact factor: 3.411
Authors: Kine Mari Bakke; Endre Grøvik; Sebastian Meltzer; Anne Negård; Stein Harald Holmedal; Lars Tore G Mikalsen; Lars Gustav Lyckander; Anne H Ree; Kjell-Inge Gjesdal; Kathrine R Redalen; Atle Bjørnerud Journal: J Magn Reson Imaging Date: 2019-04-04 Impact factor: 4.813
Authors: Lars Tore Gyland Mikalsen; Hari Prasad Dhakal; Øyvind S Bruland; Bjørn Naume; Elin Borgen; Jahn M Nesland; Dag Rune Olsen Journal: PLoS One Date: 2013-10-11 Impact factor: 3.240