Prognostic biomarker value of binary and grayscale breast tumor histopathology images.
OBJECTIVE
Breast cancer prognosis is in the spotlight owing to its potentially major clinical importance in effective therapeutic management. Following our recent prognostic establishment of the fractal features calculated on binary breast tumor histopathology images, this study aimed to accomplish the first optimization of this methodology by direct comparison of monofractal, multifractal and co-occurrence algorithms in analysis of binary versus grayscale image formats.


METHODS
The study included 93 patients with invasive breast cancer, without systemic treatment and a long median follow-up of 150 months.


RESULTS
Grayscale images provided a better prognostic source in comparison to binary, while monofractal, multifractal and co-occurrence image analysis algorithms exerted a comparable performance.


CONCLUSIONS
The critical prognostic importance of the grayscale texture is revealed.
Department of Biophysics, School of Medicine, University of Belgrade, Višegradska 26/2, Belgrade 11000, Serbia.
Nemanja
N
Rajković
Department of Experimental Oncology, Institute for Oncology & Radiology, Pasterova 14, Belgrade 11000, Serbia.
Tijana
T
Vujasinović
Department of Experimental Oncology, Institute for Oncology & Radiology, Pasterova 14, Belgrade 11000, Serbia.
Ksenija
K
Kanjer
Department of Biophysics, School of Medicine, University of Belgrade, Višegradska 26/2, Belgrade 11000, Serbia.
Nebojša T
NT
Milošević
Department of Experimental Oncology, Institute for Oncology & Radiology, Pasterova 14, Belgrade 11000, Serbia.
Dragica
D
Nikolić-Vukosavljević
Department of Experimental Oncology, Institute for Oncology & Radiology, Pasterova 14, Belgrade 11000, Serbia.
Marko
M
Radulovic
D000368:Aged; D000465:Algorithms; D019540:Area Under Curve; D015415:Biomarkers / Q000032:analysis*; D001943:Breast Neoplasms / Q000378:metabolism / Q000473:pathology*; D005260:Female; D017709:Fractals; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008875:Middle Aged; D011379:Prognosis; D016016:Proportional Hazards Models; D012372:ROC Curve; D018719:Erb-b2 Receptor Tyrosine Kinases / Q000378:metabolism
D015415:Biomarkers; D018719:Erb-b2 Receptor Tyrosine Kinases; C508053:ERBB2 protein, human
GLCM, prognosis; breast cancer; fractal; histomorphology; image analysis; multifractal; prognosis