The biological correlates of macroscopic breast tumour structure measured using fractal analysis in patients undergoing neoadjuvant chemotherapy

P. Di Giovanni; T. S. Ahearn; S. I K Semple; L. M. Lovell; I. Miller; F. J. Gilbert; T. W. Redpath; S. D. Heys; R. T. Staff

doi:10.1007/s10549-012-2014-8

The biological correlates of macroscopic breast tumour structure measured using fractal analysis in patients undergoing neoadjuvant chemotherapy

P. Di Giovanni, T. S. Ahearn, S. I K Semple, L. M. Lovell, I. Miller, F. J. Gilbert, T. W. Redpath, S. D. Heys, R. T. Staff^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

14 Citations (Scopus)

Abstract

Breast cancers are evolving, multi-scale systems that are characterized by varied complex spatial structures. In this study, we measured the structural characteristics of 33 breast tumours in patients who were to receive neoadjuvant chemotherapy using dynamic contrast enhanced MRI and fractal geometry. The results showed a significant association between fractal measurements and tumour characteristics. The fractal dimension was associated with receptor status (ER and PR) and the fractal fit was associated with response to chemotherapy, measured using a validated pathological response scale, tumour grade and size. This study describes structure measures that may be a consequence of known prognostic factors during the initial and/or maturation phase of tumour growth. These results suggest that measuring tumour structure in this way can predict an individual's response to neoadjuvant therapy and may identify those who will benefit least from neoadjuvant chemotherapy, allowing alternative treatment options to be selected in those patients.

Original language	English
Pages (from-to)	1199-1206
Number of pages	8
Journal	Breast Cancer Research and Treatment
Volume	133
Issue number	3
Early online date	24 Mar 2012
DOIs	https://doi.org/10.1007/s10549-012-2014-8
Publication status	Published - Jun 2012

Bibliographical note

Acknowledgments
Data acquisition was funded by EPSRC and the Chief Scientist Office (Scotland). Di Giovanni P was funded by Philips Medical Systems; Semple SIK was funded by EPSRC; Gilbert FJ partly funded by the MRC and CRUK.

Keywords

Breast cancer
Fractal
MRI
Neoadjuvant chemotherapy

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Di Giovanni, P., Ahearn, T. S., Semple, S. I. K., Lovell, L. M., Miller, I., Gilbert, F. J., Redpath, T. W., Heys, S. D., & Staff, R. T. (2012). The biological correlates of macroscopic breast tumour structure measured using fractal analysis in patients undergoing neoadjuvant chemotherapy. Breast Cancer Research and Treatment, 133(3), 1199-1206. https://doi.org/10.1007/s10549-012-2014-8

Di Giovanni, P, Ahearn, TS, Semple, SIK, Lovell, LM, Miller, I, Gilbert, FJ, Redpath, TW, Heys, SD & Staff, RT 2012, 'The biological correlates of macroscopic breast tumour structure measured using fractal analysis in patients undergoing neoadjuvant chemotherapy', Breast Cancer Research and Treatment, vol. 133, no. 3, pp. 1199-1206. https://doi.org/10.1007/s10549-012-2014-8

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abstract = "Breast cancers are evolving, multi-scale systems that are characterized by varied complex spatial structures. In this study, we measured the structural characteristics of 33 breast tumours in patients who were to receive neoadjuvant chemotherapy using dynamic contrast enhanced MRI and fractal geometry. The results showed a significant association between fractal measurements and tumour characteristics. The fractal dimension was associated with receptor status (ER and PR) and the fractal fit was associated with response to chemotherapy, measured using a validated pathological response scale, tumour grade and size. This study describes structure measures that may be a consequence of known prognostic factors during the initial and/or maturation phase of tumour growth. These results suggest that measuring tumour structure in this way can predict an individual's response to neoadjuvant therapy and may identify those who will benefit least from neoadjuvant chemotherapy, allowing alternative treatment options to be selected in those patients.",

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note = "Acknowledgments Data acquisition was funded by EPSRC and the Chief Scientist Office (Scotland). Di Giovanni P was funded by Philips Medical Systems; Semple SIK was funded by EPSRC; Gilbert FJ partly funded by the MRC and CRUK.",

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AU - Redpath, T. W.

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The biological correlates of macroscopic breast tumour structure measured using fractal analysis in patients undergoing neoadjuvant chemotherapy

Abstract

Bibliographical note

Keywords

UN SDGs

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