Precision Imaging: One Step Closer to Pretreatment Prediction of Breast Cancer Response to Neoadjuvant Systemic Therapy

HomeRadiologyVol. 308, No. 1 PreviousNext Reviews and CommentaryEditorialPrecision Imaging: One Step Closer to Pretreatment Prediction of Breast Cancer Response to Neoadjuvant Systemic TherapyGaiane M. Rauch Gaiane M. Rauch Author AffiliationsFrom the University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 1473, Houston, TX 77030.Address correspondence to the author (email: [email protected]).Gaiane M. Rauch Published Online:Jul 11 2023https://doi.org/10.1148/radiol.231482MoreSectionsFull textPDF ToolsImage ViewerAdd to favoritesCiteTrack CitationsPermissionsReprints ShareShare onFacebookTwitterLinked In References1. Spring LM, Fell G, Arfe A, et al. Pathologic Complete Response after Neoadjuvant Chemotherapy and Impact on Breast Cancer Recurrence and Survival: A Comprehensive Meta-analysis. Clin Cancer Res 2020;26(12):2838–2848. Crossref, Medline, Google Scholar2. Schmid P, Cortes J, Pusztai L, et al. Pembrolizumab for Early Triple-Negative Breast Cancer. N Engl J Med 2020;382(9):810–821. Crossref, Medline, Google Scholar3. Reig B, Lewin AA, Du L, et al. Breast MRI for Evaluation of Response to Neoadjuvant Therapy. RadioGraphics 2021;41(3):665–679. Link, Google Scholar4. Hylton NM, Blume JD, Bernreuter WK, et al. Locally advanced breast cancer: MR imaging for prediction of response to neoadjuvant chemotherapy--results from ACRIN 6657/I-SPY TRIAL. Radiology 2012;263(3):663–672. Link, Google Scholar5. Jahani N, Cohen E, Hsieh MK, et al. Prediction of Treatment Response to Neoadjuvant Chemotherapy for Breast Cancer via Early Changes in Tumor Heterogeneity Captured by DCE-MRI Registration. Sci Rep 2019;9(1):12114. Crossref, Medline, Google Scholar6. Shi Z, Huang X, Cheng Z, et al. MRI-based quantification of intratumoral heterogeneity for predicting treatment response to neoadjuvant chemotherapy in breast cancer. Radiology 2023;308(1):e222830. Google Scholar7. Wu J, Sun X, Wang J, et al. Identifying relations between imaging phenotypes and molecular subtypes of breast cancer: Model discovery and external validation. J Magn Reson Imaging 2017;46(4):1017–1027. Crossref, Medline, Google Scholar8. Wu J, Cao G, Sun X, et al. Intratumoral Spatial Heterogeneity at Perfusion MR Imaging Predicts Recurrence-free Survival in Locally Advanced Breast Cancer Treated with Neoadjuvant Chemotherapy. Radiology 2018;288(1):26–35. Link, Google Scholar9. Xiong Q, Zhou X, Liu Z, et al. Multiparametric MRI-based radiomics analysis for prediction of breast cancers insensitive to neoadjuvant chemotherapy. Clin Transl Oncol 2020;22(1):50–59. Crossref, Medline, Google Scholar10. Liu Z, Li Z, Qu J, et al. Radiomics of Multiparametric MRI for Pretreatment Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer: A Multicenter Study. Clin Cancer Res 2019;25(12):3538–3547. Crossref, Medline, Google ScholarArticle HistoryReceived: June 9 2023Revision requested: June 13 2023Revision received: June 14 2023Accepted: June 15 2023Published online: July 11 2023 FiguresReferencesRelatedDetailsAccompanying This ArticleMRI-based Quantification of Intratumoral Heterogeneity for Predicting Treatment Response to Neoadjuvant Chemotherapy in Breast CancerJul 11 2023RadiologyRecommended Articles MRI-based Quantification of Intratumoral Heterogeneity for Predicting Treatment Response to Neoadjuvant Chemotherapy in Breast CancerRadiology2023Volume: 308Issue: 1Added Value of FDG PET/MRI in Gynecologic Oncology: A Pictorial ReviewRadioGraphics2023Volume: 43Issue: 8PET/MRI and Bioluminescent Imaging Identify Hypoxia as a Cause of Programmed Cell Death Ligand 1 Image HeterogeneityRadiology: Imaging Cancer2023Volume: 5Issue: 4Artificial Intelligence Applied to Contrast-enhanced Mammography: Exploring Uncharted TerritoryRadiology2023Volume: 307Issue: 5Diffusion-weighted Imaging of the Chest: A Primer for RadiologistsRadioGraphics2023Volume: 43Issue: 7See More RSNA Education Exhibits RSNA Case Collection Vol. 308, No. 1 Metrics Altmetric Score PDF download