Multiparametric MRI Radiomics for the Identification of HER2-Low Breast Cancers

HomeRadiologyVol. 310, No. 1 PreviousNext CommunicationsLetters to the EditorMultiparametric MRI Radiomics for the Identification of HER2-Low Breast CancersSiyao Du, Si Gao, Mengfan Wang, Lina Zhang Siyao Du, Si Gao, Mengfan Wang, Lina Zhang Author AffiliationsDepartment of Radiology, the First Hospital of China Medical University, Nanjing North Street 155, Shenyang 110001, Chinaemail: [email protected]Siyao DuSi GaoMengfan WangLina Zhang Published Online:Jan 2 2024https://doi.org/10.1148/radiol.232092MoreSectionsFull textPDF ToolsAdd to favoritesCiteTrack CitationsPermissionsReprints ShareShare onFacebookXLinked In References1. Ramtohul T, Djerroudi L, Lissavalid E, et al. Multiparametric MRI and Radiomics for the Prediction of HER2-Zero, -Low, and -Positive Breast Cancers. Radiology 2023;308(2):e222646. Link, Google Scholar2. Bian X, Du S, Yue Z, et al. Potential Antihuman Epidermal Growth Factor Receptor 2 Target Therapy Beneficiaries: The Role of MRI-Based Radiomics in Distinguishing Human Epidermal Growth Factor Receptor 2-Low Status of Breast Cancer. J Magn Reson Imaging 2023. https://doi.org/10.1002/jmri.28628. Published online February 10, 2023. Crossref, Google Scholar3. Tarantino P, Jin Q, Tayob N, et al. Prognostic and Biologic Significance of ERBB2-Low Expression in Early-Stage Breast Cancer. JAMA Oncol 2022;8(8):1177–1183. Medline, Google ScholarArticle HistoryPublished online: Jan 02 2024 FiguresReferencesRelatedDetailsRecommended Articles Breast Cancer Risk Prediction Using Deep LearningRadiology2021Volume: 301Issue: 3pp. 559-560Prospective Evaluation of Ultrafast Breast MRI for Predicting Pathologic Response after Neoadjuvant TherapiesRadiology2022Volume: 305Issue: 3pp. 565-574Association between Computer-aided Diagnosis–measured Peak Enhancement and Washout Component at Preoperative MR Imaging and Operable Hormone Receptor–positive Breast CancerRadiology2017Volume: 284Issue: 2pp. 604Precision Imaging: One Step Closer to Pretreatment Prediction of Breast Cancer Response to Neoadjuvant Systemic TherapyRadiology2023Volume: 308Issue: 1The Value of Patient and Tumor Factors in Predicting Preoperative Breast MRI OutcomesRadiology: Imaging Cancer2020Volume: 2Issue: 4See More RSNA Education Exhibits Breast Health in the Elderly: Implications for ImagingDigital Posters2020Changes in Breast Density and Background Parenchymal Enhancement due to Hormonal and Drug Effects: Multimodality images and Diagnostic Work-up. Digital Posters2020Staging Breast Cancer: A Case Based ReviewDigital Posters2022 RSNA Case Collection Invasive Lobular CarcinomaRSNA Case Collection2021Desmoid tumor of the male breastRSNA Case Collection2020Malignancy on abbreviated screening breast MRIRSNA Case Collection2020 Vol. 310, No. 1 Metrics Altmetric Score PDF download