Decoding Intratumoral Heterogeneity: Clinical Potential of Habitat Imaging based on Radiomics

HomeRadiologyVol. 309, No. 3 PreviousNext CommunicationsLetters to the EditorDecoding Intratumoral Heterogeneity: Clinical Potential of Habitat Imaging based on RadiomicsXu Zhang*, Guan-Hua Su†, Yan Chen‡, Ya-Jia Gu*, Chao You* Xu Zhang*, Guan-Hua Su†, Yan Chen‡, Ya-Jia Gu*, Chao You* Author AffiliationsDepartment of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No. 270 Dong’an Road, Shanghai 200032, P.R. China*Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China†Division of Cancer and Stem Cell, School of Medicine at University of Nottingham, Nottingham, UK‡email: [email protected]Xu Zhang*Guan-Hua Su†Yan Chen‡Ya-Jia Gu*Chao You* Published Online:Dec 12 2023https://doi.org/10.1148/radiol.232047MoreSectionsFull textPDF ToolsAdd to favoritesCiteTrack CitationsPermissionsReprints ShareShare onFacebookTwitterLinked In References1. 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. Link, Google Scholar2. Rauch GM. Precision Imaging: One Step Closer to Pretreatment Prediction of Breast Cancer Response to Neoadjuvant Systemic Therapy. Radiology 2023;308(1):e231482. Link, Google Scholar3. 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 Scholar4. Wu J, Cui Y, Sun X, et al. Unsupervised Clustering of Quantitative Image Phenotypes Reveals Breast Cancer Subtypes with Distinct Prognoses and Molecular Pathways. Clin Cancer Res 2017;23(13):3334–3342. Crossref, Medline, Google ScholarArticle HistoryPublished online: Dec 12 2023 FiguresReferencesRelatedDetailsRecommended Articles MRI-based Quantification of Intratumoral Heterogeneity for Predicting Treatment Response to Neoadjuvant Chemotherapy in Breast CancerRadiology2023Volume: 308Issue: 1Precision Imaging: One Step Closer to Pretreatment Prediction of Breast Cancer Response to Neoadjuvant Systemic TherapyRadiology2023Volume: 308Issue: 1Intratumoral Spatial Heterogeneity at Perfusion MR Imaging Predicts Recurrence-free Survival in Locally Advanced Breast Cancer Treated with Neoadjuvant ChemotherapyRadiology2018Volume: 288Issue: 1pp. 26-35Pretreatment MR Imaging Features of Triple-Negative Breast Cancer: Association with Response to Neoadjuvant Chemotherapy and Recurrence-Free SurvivalRadiology2016Volume: 281Issue: 2pp. 392-400Radiogenomic Signatures of Oncotype DX Recurrence Score Enable Prediction of Survival in Estrogen Receptor–Positive Breast Cancer: A Multicohort StudyRadiology2021Volume: 302Issue: 3pp. 516-524See More RSNA Education Exhibits Diffusion-Weighted Imaging (DWI) and ADC Features of Triple Negative Breast Cancer (TNBC) Pre and Post Neoadjuvant ChemotherapyDigital Posters2019Soft Tissue Sarcoma: Review Of Imaging Guidelines For Evaluating Treatment ResponseDigital Posters2021The Many Faces of Triple Negative Breast CancerDigital Posters2022 RSNA Case Collection Slow-growing cancerRSNA Case Collection2020Locally Advanced Breast CancerRSNA Case Collection2021Inflammatory breast cancerRSNA Case Collection2020 Vol. 309, No. 3 Metrics Altmetric Score PDF download