Literature DB >> 22447179

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

P Di Giovanni1, T S Ahearn, S I K Semple, L M Lovell, I Miller, F J Gilbert, T W Redpath, S D Heys, R T Staff.   

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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Year:  2012        PMID: 22447179     DOI: 10.1007/s10549-012-2014-8

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  4 in total

Review 1.  Radiomics of hepatocellular carcinoma: promising roles in patient selection, prediction, and assessment of treatment response.

Authors:  Amir A Borhani; Roberta Catania; Yuri S Velichko; Stefanie Hectors; Bachir Taouli; Sara Lewis
Journal:  Abdom Radiol (NY)       Date:  2021-04-23

2.  Selective aggregation of PAMAM dendrimer nanocarriers and PAMAM/ZnPc nanodrugs on human atheromatous carotid tissues: a photodynamic therapy for atherosclerosis.

Authors:  Nikolaos Spyropoulos-Antonakakis; Evangelia Sarantopoulou; Panagiotis N Trohopoulos; Aikaterina L Stefi; Zoe Kollia; Vassilios E Gavriil; Athanasia Bourkoula; Panagiota S Petrou; Sotirios Kakabakos; Vadim V Semashko; Alexey S Nizamutdinov; Alkiviadis-Constantinos Cefalas
Journal:  Nanoscale Res Lett       Date:  2015-05-07       Impact factor: 4.703

3.  Fractal and Gray Level Cooccurrence Matrix Computational Analysis of Primary Osteosarcoma Magnetic Resonance Images Predicts the Chemotherapy Response.

Authors:  Goran J Djuričić; Marko Radulovic; Jelena P Sopta; Marina Nikitović; Nebojša T Milošević
Journal:  Front Oncol       Date:  2017-10-19       Impact factor: 6.244

Review 4.  Fractal dimension of chromatin: potential molecular diagnostic applications for cancer prognosis.

Authors:  Konradin Metze
Journal:  Expert Rev Mol Diagn       Date:  2013-09       Impact factor: 5.225

  4 in total

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