Journal Article
. 2018 Feb;144(5).
doi: 10.1007/s00432-018-2595-7.

A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models

Ashirbani Saha 1 Michael R Harowicz 2 Weiyao Wang 3 Maciej A Mazurowski 2 
  • PMID: 29427210
  •     30 References
  •     10 citations


Purpose: To determine whether multivariate machine learning models of algorithmically assessed magnetic resonance imaging (MRI) features from breast cancer patients are associated with Oncotype DX (ODX) test recurrence scores.

Methods: A set of 261 female patients with invasive breast cancer, pre-operative dynamic contrast enhanced magnetic resonance (DCE-MR) images and available ODX score at our institution was identified. A computer algorithm extracted a comprehensive set of 529 features from the DCE-MR images of these patients. The set of patients was divided into a training set and a test set. Using the training set we developed two machine learning-based models to discriminate (1) high ODX scores from intermediate and low ODX scores, and (2) high and intermediate ODX scores from low ODX scores. The performance of these models was evaluated on the independent test set.

Results: High against low and intermediate ODX scores were predicted by the multivariate model with AUC 0.77 (95% CI 0.56-0.98, p < 0.003). Low against intermediate and high ODX score was predicted with AUC 0.51 (95% CI 0.41-0.61, p = 0.75).

Conclusion: A moderate association between imaging and ODX score was identified. The evaluated models currently do not warrant replacement of ODX with imaging alone.

Keywords: Breast cancer MRI; Feature selection; Imaging features; Logistic regression; Oncotype DX; Radiomics.

Radiogenomics: what it is and why it is important.
Maciej A Mazurowski.
J Am Coll Radiol, 2015 Aug 08; 12(8). PMID: 26250979
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A Validated Model for Identifying Patients Unlikely to Benefit From the 21-Gene Recurrence Score Assay.
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Clin Breast Cancer, 2015 Jun 15; 15(6). PMID: 26072275    Free PMC article.
Tailoring therapies--improving the management of early breast cancer: St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2015.
A S Coates, E P Winer, +6 authors, Panel Members.
Ann Oncol, 2015 May 06; 26(8). PMID: 25939896    Free PMC article.
Highly Cited.
Radiomic analysis reveals DCE-MRI features for prediction of molecular subtypes of breast cancer.
Ming Fan, Hui Li, +3 authors, Lihua Li.
PLoS One, 2017 Feb 07; 12(2). PMID: 28166261    Free PMC article.
Prediction of the Oncotype DX recurrence score: use of pathology-generated equations derived by linear regression analysis.
Molly E Klein, David J Dabbs, +4 authors, Rohit Bhargava.
Mod Pathol, 2013 Mar 19; 26(5). PMID: 23503643    Free PMC article.
A lower Allred score for progesterone receptor is strongly associated with a higher recurrence score of 21-gene assay in breast cancer.
Ping Tang, Jianmin Wang, +9 authors, Gary Lyman.
Cancer Invest, 2010 Aug 10; 28(9). PMID: 20690804
Analysis of the MammaPrint breast cancer assay in a predominantly postmenopausal cohort.
Ben S Wittner, Dennis C Sgroi, +9 authors, Sridhar Ramaswamy.
Clin Cancer Res, 2008 May 17; 14(10). PMID: 18483364    Free PMC article.
Interobserver variability in identification of breast tumors in MRI and its implications for prognostic biomarkers and radiogenomics.
Ashirbani Saha, Lars J Grimm, +4 authors, Maciej A Mazurowski.
Med Phys, 2016 Aug 05; 43(8). PMID: 27487872
Radiomics: Images Are More than Pictures, They Are Data.
Robert J Gillies, Paul E Kinahan, Hedvig Hricak.
Radiology, 2015 Nov 19; 278(2). PMID: 26579733    Free PMC article.
Highly Cited.
N4ITK: improved N3 bias correction.
Nicholas J Tustison, Brian B Avants, +4 authors, James C Gee.
IEEE Trans Med Imaging, 2010 Apr 10; 29(6). PMID: 20378467    Free PMC article.
Highly Cited.
Breast cancer subtype intertumor heterogeneity: MRI-based features predict results of a genomic assay.
Elizabeth J Sutton, Jung Hun Oh, +5 authors, Elizabeth A Morris.
J Magn Reson Imaging, 2015 Apr 09; 42(5). PMID: 25850931    Free PMC article.
Highly Cited.
Comparison of PAM50 risk of recurrence score with oncotype DX and IHC4 for predicting risk of distant recurrence after endocrine therapy.
Mitch Dowsett, Ivana Sestak, +7 authors, Jack Cuzick.
J Clin Oncol, 2013 Jul 03; 31(22). PMID: 23816962
Highly Cited.
Radiogenomic analysis of breast cancer: luminal B molecular subtype is associated with enhancement dynamics at MR imaging.
Maciej A Mazurowski, Jing Zhang, +2 authors, James I Silber.
Radiology, 2014 Jul 17; 273(2). PMID: 25028781
Highly Cited.
Algorithms for prediction of the Oncotype DX recurrence score using clinicopathologic data: a review and comparison using an independent dataset.
Michael R Harowicz, Timothy J Robinson, +4 authors, Maciej A Mazurowski.
Breast Cancer Res Treat, 2017 Jan 09; 162(1). PMID: 28064383    Free PMC article.
Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set.
Hui Li, Yitan Zhu, +13 authors, Maryellen L Giger.
NPJ Breast Cancer, 2016 Nov 18; 2. PMID: 27853751    Free PMC article.
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A Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting OncotypeDX Risk Scores.
Tao Wan, B Nicolas Bloch, +5 authors, Anant Madabhushi.
Sci Rep, 2016 Feb 19; 6. PMID: 26887643    Free PMC article.
Triple-negative breast cancer: correlation between MR imaging and pathologic findings.
Takayoshi Uematsu, Masako Kasami, Sachiko Yuen.
Radiology, 2009 Feb 27; 250(3). PMID: 19244039
Identifying relations between imaging phenotypes and molecular subtypes of breast cancer: Model discovery and external validation.
Jia Wu, Xiaoli Sun, +5 authors, Ruijiang Li.
J Magn Reson Imaging, 2017 Feb 09; 46(4). PMID: 28177554    Free PMC article.
Stability of FDG-PET Radiomics features: an integrated analysis of test-retest and inter-observer variability.
Ralph T H Leijenaar, Sara Carvalho, +9 authors, Philippe Lambin.
Acta Oncol, 2013 Sep 21; 52(7). PMID: 24047337    Free PMC article.
Highly Cited.
A comparison of PAM50 intrinsic subtyping with immunohistochemistry and clinical prognostic factors in tamoxifen-treated estrogen receptor-positive breast cancer.
Torsten O Nielsen, Joel S Parker, +12 authors, Matthew J Ellis.
Clin Cancer Res, 2010 Sep 15; 16(21). PMID: 20837693    Free PMC article.
Highly Cited.
Computer-aided Diagnosis-generated Kinetic Features of Breast Cancer at Preoperative MR Imaging: Association with Disease-free Survival of Patients with Primary Operable Invasive Breast Cancer.
Jin Joo Kim, Jin You Kim, +4 authors, Young Tae Bae.
Radiology, 2017 Mar 03; 284(1). PMID: 28253106
Gene expression and benefit of chemotherapy in women with node-negative, estrogen receptor-positive breast cancer.
Soonmyung Paik, Gong Tang, +11 authors, Norman Wolmark.
J Clin Oncol, 2006 May 25; 24(23). PMID: 16720680
Highly Cited.
Recurrence-free survival in breast cancer is associated with MRI tumor enhancement dynamics quantified using computer algorithms.
Maciej A Mazurowski, Lars J Grimm, +5 authors, Karen S Johnson.
Eur J Radiol, 2015 Jul 27; 84(11). PMID: 26210095
A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer.
Soonmyung Paik, Steven Shak, +12 authors, Norman Wolmark.
N Engl J Med, 2004 Dec 14; 351(27). PMID: 15591335
Highly Cited.
Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach.
E R DeLong, D M DeLong, D L Clarke-Pearson.
Biometrics, 1988 Sep 01; 44(3). PMID: 3203132
Highly Cited.
MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays.
Hui Li, Yitan Zhu, +13 authors, Maryellen L Giger.
Radiology, 2016 Oct 19; 281(2). PMID: 27144536    Free PMC article.
Highly Cited.
NSABP study confirms oncotype DX predicts chemotherapy benefit in breast cancer patients.
Oncology (Williston Park), 2006 Jul 18; 20(7). PMID: 16841801
Identification of intrinsic imaging phenotypes for breast cancer tumors: preliminary associations with gene expression profiles.
Ahmed Bilal Ashraf, Dania Daye, +4 authors, Despina Kontos.
Radiology, 2014 Apr 08; 272(2). PMID: 24702725    Free PMC article.
MRI phenotype of breast cancer: Kinetic assessment for molecular subtypes.
Eric Blaschke, Hiroyuki Abe.
J Magn Reson Imaging, 2015 Mar 12; 42(4). PMID: 25758675
Can signal enhancement ratio (SER) reduce the number of recommended biopsies without affecting cancer yield in occult MRI-detected lesions?
Vignesh A Arasu, Ryan C-Y Chen, +4 authors, Bonnie N Joe.
Acad Radiol, 2011 Mar 23; 18(6). PMID: 21420333    Free PMC article.
An investigation of machine learning methods in delta-radiomics feature analysis.
Yushi Chang, Kyle Lafata, +4 authors, Fang-Fang Yin.
PLoS One, 2019 Dec 14; 14(12). PMID: 31834910    Free PMC article.
Lymph Node Imaging in Patients with Primary Breast Cancer: Concurrent Diagnostic Tools.
Maria Adele Marino, Daly Avendano, +2 authors, Katja Pinker.
Oncologist, 2020 Feb 12; 25(2). PMID: 32043792    Free PMC article.
Contrast-Enhanced Mammography and Radiomics Analysis for Noninvasive Breast Cancer Characterization: Initial Results.
Maria Adele Marino, Katja Pinker, +4 authors, Maxine Jochelson.
Mol Imaging Biol, 2019 Aug 30; 22(3). PMID: 31463822    Free PMC article.
The volumetric-tumour histogram-based analysis of intravoxel incoherent motion and non-Gaussian diffusion MRI: association with prognostic factors in HER2-positive breast cancer.
Chao You, Jianwei Li, +4 authors, Weijun Peng.
J Transl Med, 2019 Jul 03; 17(1). PMID: 31262334    Free PMC article.
Machine learning in breast MRI.
Beatriu Reig, Laura Heacock, Krzysztof J Geras, Linda Moy.
J Magn Reson Imaging, 2019 Jul 06; 52(4). PMID: 31276247    Free PMC article.
Radiomic Signatures Derived from Diffusion-Weighted Imaging for the Assessment of Breast Cancer Receptor Status and Molecular Subtypes.
Doris Leithner, Blanca Bernard-Davila, +9 authors, Katja Pinker.
Mol Imaging Biol, 2019 Jun 19; 22(2). PMID: 31209778    Free PMC article.
Radiogenomics of magnetic resonance imaging and a new multi-gene classifier for predicting recurrence prognosis in estrogen receptor-positive breast cancer: A preliminary study.
Yukiko Tokuda, Masahiro Yanagawa, +3 authors, Noriyuki Tomiyama.
Medicine (Baltimore), 2020 Apr 22; 99(16). PMID: 32311939    Free PMC article.
Integrated Multiparametric Radiomics and Informatics System for Characterizing Breast Tumor Characteristics with the OncotypeDX Gene Assay.
Michael A Jacobs, Christopher B Umbricht, +5 authors, Antonio C Wolff.
Cancers (Basel), 2020 Oct 01; 12(10). PMID: 32992569    Free PMC article.
Multidimensional Machine Learning Personalized Prognostic Model in an Early Invasive Breast Cancer Population-Based Cohort in China: Algorithm Validation Study.
Xiaorong Zhong, Ting Luo, +13 authors, Hong Zheng.
JMIR Med Inform, 2020 Nov 10; 8(11). PMID: 33164899    Free PMC article.