Assessment of the spatial heterogeneity of breast cancers: associations between computed tomography and immunohistochemistry
AuthorsWoolf, David K
AffiliationBreast Cancer Research Unit, Mount Vernon Cancer Centre, Northwood, UK
MetadataShow full item record
AbstractBackground: Tumour heterogeneity is considered an important mechanism of treatment failure. Imaging-based assessment of tumour heterogeneity is showing promise but the relationship between these mathematically derived measures and accepted 'gold standards' of tumour biology such as immunohistochemical measures is not established. Methods: A total of 20 women with primary breast cancer underwent a research dynamic contrast-enhanced computed tomography prior to treatment with data being available for 15 of these. Texture analysis was performed of the primary tumours to extract 13 locoregional and global parameters. Immunohistochemical analysis associations were assessed by the Spearman rank correlation. Results: Hypoxia-inducible factor-1? was correlated with first-order kurtosis (r?=?-0.533, P?=?.041) and higher order neighbourhood grey-tone difference matrix coarseness (r?=?0.54, P?=?.038). Vascular maturity-related smooth muscle actin was correlated with higher order grey-level run-length long-run emphasis (r?=?-0.52, P?=?.047), fractal dimension (r?=?0.613, P?=?.015), and lacunarity (r?=?-0.634, P?=?.011). Micro-vessel density, reflecting angiogenesis, was also associated with lacunarity (r?=?0.547, P?=?.035). Conclusions: The associations suggest a biological basis for these image-based heterogeneity features and support the use of imaging, already part of standard care, for assessing intratumoural heterogeneity
CitationWoolf DK, Li SP, Detre S, Liu A, Gogbashian A, Simcock IC, et al. Assessment of the spatial heterogeneity of breast cancers: associations between computed tomography and immunohistochemistry. Biomark Cancer. 2019;11.
JournalBiomarkers in Cancer
- Investigating the histopathologic correlates of 18F-FDG PET heterogeneity in non-small-cell lung cancer.
- Authors: Bashir U, Foot O, Wise O, Siddique MM, Mclean E, Bille A, Goh V, Cook GJ
- Issue date: 2018 Dec
- Preoperative CT texture features predict prognosis after curative resection in pancreatic cancer.
- Authors: Kim HS, Kim YJ, Kim KG, Park JS
- Issue date: 2019 Nov 22
- Intratumoral heterogeneity of breast cancer xenograft models: texture analysis of diffusion-weighted MR imaging.
- Authors: Yun BL, Cho N, Li M, Jang MH, Park SY, Kang HC, Kim B, Song IC, Moon WK
- Issue date: 2014 Sep-Oct
- Primary Rectal Cancer: Repeatability of Global and Local-Regional MR Imaging Texture Features.
- Authors: Gourtsoyianni S, Doumou G, Prezzi D, Taylor B, Stirling JJ, Taylor NJ, Siddique M, Cook GJR, Glynne-Jones R, Goh V
- Issue date: 2017 Aug
- Analysis of parenchymal texture with digital breast tomosynthesis: comparison with digital mammography and implications for cancer risk assessment.
- Authors: Kontos D, Ikejimba LC, Bakic PR, Troxel AB, Conant EF, Maidment AD
- Issue date: 2011 Oct