Abstract
Purpose
To perform a rapid review of the recent literature on radiomics and breast cancer (BC).
Methods
A rapid review, a streamlined approach to systematically identify and summarize emerging studies was done (updated 27 September 2017). Clinical studies eligible for inclusion were those that evaluated BC using a radiomics approach and provided data on BC diagnosis (detection or characterization) or BC prognosis (response to therapy, morbidity, mortality), or provided data on technical challenges (software application: open source, repeatability of results). Descriptive statistics, results, and radiomics quality score (RQS) are presented.
Results
N = 17 retrospective studies, all published after 2015, provided BC-related radiomics data on 3928 patients evaluated with a radiomics approach. Most studies were done for diagnosis and/or characterization (65%, 11/17) or to aid in prognosis (41%, 7/17). The mean number of radiomics features considered was 100. Mean RQS score was 11.88 ± 5.8 (maximum value 36). The RQS criteria related to validation, gold standard, potential clinical utility, cost analysis, and open science data had the lowest scores. The majority of studies n = 16/17 (94%) provided correlation with histological outcomes and staging variables or biomarkers. Only 4/17 (23%) studies provided evidence of correlation with genomic data. Magnetic resonance imaging (MRI) was used in most studies n = 14/17 (82%); however, ultrasound (US), mammography, or positron emission tomography with 2-deoxy-2-[fluorine-18]fluoro-d-glucose integrated with computed tomography (18F FDG PET/CT) was also used. Much heterogeneity was found for software usage.
Conclusions
The study of radiomics in BC patients is a new and emerging translational research topic. Radiomics in BC is frequently done to potentially improve diagnosis and characterization, mostly using MRI. Substantial quality limitations were found; high-quality prospective and reproducible studies are needed to further potential application.
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Abbreviations
- BC:
-
Breast cancer
- RQS:
-
Radiomics quality score
- MRI:
-
Magnetic resonance imaging
- US:
-
Ultrasound
- 18F FDG PET/CT:
-
Positron emission tomography with 2-deoxy-2-[fluorine-18]fluoro-d-glucose integrated with computed tomography
- CT:
-
Computed tomography
- PET:
-
Positron emission tomography
- CT/PET:
-
Computed tomography integrated with positron emission tomography
- LABC:
-
Locally advanced breast cancer
- NAC:
-
Neoadjuvant chemotherapy
- TCGA:
-
The cancer genome atlas
- TCIA:
-
The cancer imaging archive
- ER:
-
Estrogen receptor
- PR:
-
Progesterone receptor
- HER2:
-
Human epidermal growth factor receptor 2
- BPE:
-
Background parenchymal enhancement
- DCE-MRI:
-
Dynamic contrast-enhanced magnetic resonance imaging
- SLN:
-
Sentinel lymph node
- pCR:
-
Pathological complete response
- ADC:
-
Apparent diffusion coefficient
- CoLlAGe:
-
Co-occurrence of local anisotropic gradient orientations
- PAM50:
-
Prediction analysis of microarray 50
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Funding
Alberto Stefano Tagliafico received funding under grants: AIRC Associazione Italiana Ricerca sul Cancro IG 15697. N. Houssami received research support through a National Breast Cancer Foundation (NBCF Australia), Breast Cancer Research Leadership Fellowship.
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Valdora, F., Houssami, N., Rossi, F. et al. Rapid review: radiomics and breast cancer. Breast Cancer Res Treat 169, 217–229 (2018). https://doi.org/10.1007/s10549-018-4675-4
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DOI: https://doi.org/10.1007/s10549-018-4675-4