caa a22 4500 605480117 CHVBK 20210128100413.0 cr unu---uuuuu 210128e20151001xx s 000 0 eng 10.1007/s10544-015-9995-0 doi (NATIONALLICENCE)springer-10.1007/s10544-015-9995-0 Multifractal analysis of tumour microscopic images in the prediction of breast cancer chemotherapy response [Elektronische Daten] [Jelena Vasiljevic, Jelena Pribic, Ksenija Kanjer, Wojtek Jonakowski, Jelena Sopta, Dragica Nikolic-Vukosavljevic, Marko Radulovic] Due to the individual heterogeneity, highly accurate predictors of chemotherapy response in invasive breast cancer are needed for effective chemotherapeutic management. However, predictive molecular determinants for conventional chemotherapy are only emerging and still incorporate a high degree of predictive variability. Based on such pressing need for predictive performance improvement, we explored the value of pre-therapy tumour histology image analysis to predict chemotherapy response. Fractal analysis was applied to hematoxylin/eosin stained archival tissue of diagnostic biopsies derived from 106 patients diagnosed with invasive breast cancer. The tissue was obtained prior to neoadjuvant anthracycline-based chemotherapy and patients were subsequently divided into three groups according to their actual chemotherapy response: partial pathological response (pPR), pathological complete response (pCR) and progressive/stable disease (PD/SD). It was shown that multifractal analysis of breast tumour tissue prior to chemotherapy indeed has the capacity to distinguish between histological images of the different chemotherapy responder groups with accuracies of 91.4% for pPR, 82.9% for pCR and 82.1% for PD/SD. F(α)max was identified as the most important predictive parameter. It represents the maximum of multifractal spectrum f(α), where α is the Hölder's exponent. This is the first study investigating the predictive value of multifractal analysis as a simple and cost-effective tool to predict the chemotherapy response. Improvements in chemotherapy prediction provide clinical benefit by enabling more optimal chemotherapy decisions, thus directly affecting the quality of life and survival. Springer Science+Business Media New York, 2015 Anthracycline nationallicence Breast cancer nationallicence Chemotherapy nationallicence Drug response nationallicence Fractal nationallicence Histology nationallicence Multifractal nationallicence Prediction nationallicence Vasiljevic Jelena Institute "Mihajlo Pupin”, Volgina 15, Belgrade, Serbia aut Pribic Jelena Department of Experimental Oncology, Institute of Oncology and Radiology of Serbia, Pasterova 14, 11000, Belgrade, Serbia aut Kanjer Ksenija Department of Experimental Oncology, Institute of Oncology and Radiology of Serbia, Pasterova 14, 11000, Belgrade, Serbia aut Jonakowski Wojtek Institute "Mihajlo Pupin”, Volgina 15, Belgrade, Serbia aut Sopta Jelena Medical Faculty, Institute of Pathology, University of Belgrade, Dr Subotica 1, Belgrade, Serbia aut Nikolic-Vukosavljevic Dragica Department of Experimental Oncology, Institute of Oncology and Radiology of Serbia, Pasterova 14, 11000, Belgrade, Serbia aut Radulovic Marko Department of Experimental Oncology, Institute of Oncology and Radiology of Serbia, Pasterova 14, 11000, Belgrade, Serbia aut Biomedical Microdevices Springer US; http://www.springer-ny.com 17/5(2015-10-01), 1-5 1387-2176 17:5<1 2015 17 10544 https://doi.org/10.1007/s10544-015-9995-0 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10544-015-9995-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Vasiljevic Jelena Institute "Mihajlo Pupin”, Volgina 15, Belgrade, Serbia aut NATIONALLICENCE 700 1- Pribic Jelena Department of Experimental Oncology, Institute of Oncology and Radiology of Serbia, Pasterova 14, 11000, Belgrade, Serbia aut NATIONALLICENCE 700 1- Kanjer Ksenija Department of Experimental Oncology, Institute of Oncology and Radiology of Serbia, Pasterova 14, 11000, Belgrade, Serbia aut NATIONALLICENCE 700 1- Jonakowski Wojtek Institute "Mihajlo Pupin”, Volgina 15, Belgrade, Serbia aut NATIONALLICENCE 700 1- Sopta Jelena Medical Faculty, Institute of Pathology, University of Belgrade, Dr Subotica 1, Belgrade, Serbia aut NATIONALLICENCE 700 1- Nikolic-Vukosavljevic Dragica Department of Experimental Oncology, Institute of Oncology and Radiology of Serbia, Pasterova 14, 11000, Belgrade, Serbia aut NATIONALLICENCE 700 1- Radulovic Marko Department of Experimental Oncology, Institute of Oncology and Radiology of Serbia, Pasterova 14, 11000, Belgrade, Serbia aut NATIONALLICENCE 773 0- Biomedical Microdevices Springer US; http://www.springer-ny.com 17/5(2015-10-01), 1-5 1387-2176 17:5<1 2015 17 10544