Multifractal analysis of tumour microscopic images in the prediction of breast cancer chemotherapy response
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| 008 | 210128e20151001xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s10544-015-9995-0 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s10544-015-9995-0 | ||
| 245 | 0 | 0 | |a Multifractal analysis of tumour microscopic images in the prediction of breast cancer chemotherapy response |h [Elektronische Daten] |c [Jelena Vasiljevic, Jelena Pribic, Ksenija Kanjer, Wojtek Jonakowski, Jelena Sopta, Dragica Nikolic-Vukosavljevic, Marko Radulovic] |
| 520 | 3 | |a 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. | |
| 540 | |a Springer Science+Business Media New York, 2015 | ||
| 690 | 7 | |a Anthracycline |2 nationallicence | |
| 690 | 7 | |a Breast cancer |2 nationallicence | |
| 690 | 7 | |a Chemotherapy |2 nationallicence | |
| 690 | 7 | |a Drug response |2 nationallicence | |
| 690 | 7 | |a Fractal |2 nationallicence | |
| 690 | 7 | |a Histology |2 nationallicence | |
| 690 | 7 | |a Multifractal |2 nationallicence | |
| 690 | 7 | |a Prediction |2 nationallicence | |
| 700 | 1 | |a Vasiljevic |D Jelena |u Institute "Mihajlo Pupin”, Volgina 15, Belgrade, Serbia |4 aut | |
| 700 | 1 | |a Pribic |D Jelena |u Department of Experimental Oncology, Institute of Oncology and Radiology of Serbia, Pasterova 14, 11000, Belgrade, Serbia |4 aut | |
| 700 | 1 | |a Kanjer |D Ksenija |u Department of Experimental Oncology, Institute of Oncology and Radiology of Serbia, Pasterova 14, 11000, Belgrade, Serbia |4 aut | |
| 700 | 1 | |a Jonakowski |D Wojtek |u Institute "Mihajlo Pupin”, Volgina 15, Belgrade, Serbia |4 aut | |
| 700 | 1 | |a Sopta |D Jelena |u Medical Faculty, Institute of Pathology, University of Belgrade, Dr Subotica 1, Belgrade, Serbia |4 aut | |
| 700 | 1 | |a Nikolic-Vukosavljevic |D Dragica |u Department of Experimental Oncology, Institute of Oncology and Radiology of Serbia, Pasterova 14, 11000, Belgrade, Serbia |4 aut | |
| 700 | 1 | |a Radulovic |D Marko |u Department of Experimental Oncology, Institute of Oncology and Radiology of Serbia, Pasterova 14, 11000, Belgrade, Serbia |4 aut | |
| 773 | 0 | |t Biomedical Microdevices |d Springer US; http://www.springer-ny.com |g 17/5(2015-10-01), 1-5 |x 1387-2176 |q 17:5<1 |1 2015 |2 17 |o 10544 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s10544-015-9995-0 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s10544-015-9995-0 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Vasiljevic |D Jelena |u Institute "Mihajlo Pupin”, Volgina 15, Belgrade, Serbia |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Pribic |D Jelena |u Department of Experimental Oncology, Institute of Oncology and Radiology of Serbia, Pasterova 14, 11000, Belgrade, Serbia |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Kanjer |D Ksenija |u Department of Experimental Oncology, Institute of Oncology and Radiology of Serbia, Pasterova 14, 11000, Belgrade, Serbia |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Jonakowski |D Wojtek |u Institute "Mihajlo Pupin”, Volgina 15, Belgrade, Serbia |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Sopta |D Jelena |u Medical Faculty, Institute of Pathology, University of Belgrade, Dr Subotica 1, Belgrade, Serbia |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Nikolic-Vukosavljevic |D Dragica |u Department of Experimental Oncology, Institute of Oncology and Radiology of Serbia, Pasterova 14, 11000, Belgrade, Serbia |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Radulovic |D Marko |u Department of Experimental Oncology, Institute of Oncology and Radiology of Serbia, Pasterova 14, 11000, Belgrade, Serbia |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Biomedical Microdevices |d Springer US; http://www.springer-ny.com |g 17/5(2015-10-01), 1-5 |x 1387-2176 |q 17:5<1 |1 2015 |2 17 |o 10544 | ||