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Clinical Evaluation of Nuclear Imaging Agents in Breast Cancer.
Li, Ziqi; Aboian, Mariam S; Zhu, Xiaohua; Marquez-Nostra, Bernadette.
Afiliação
  • Li Z; Department of Nuclear Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
  • Aboian MS; PET Center, Department of Radiology and Biomedical Imaging, Yale University, P.O. Box 208048, New Haven, CT 06520, USA.
  • Zhu X; PET Center, Department of Radiology and Biomedical Imaging, Yale University, P.O. Box 208048, New Haven, CT 06520, USA.
  • Marquez-Nostra B; Department of Nuclear Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Cancers (Basel) ; 14(9)2022 Apr 23.
Article em En | MEDLINE | ID: mdl-35565232
ABSTRACT
Precision medicine is the customization of therapy for specific groups of patients using genetic or molecular profiling. Noninvasive imaging is one strategy for molecular profiling and is the focus of this review. The combination of imaging and therapy for precision medicine gave rise to the field of theranostics. In breast cancer, the detection and quantification of therapeutic targets can help assess their heterogeneity, especially in metastatic disease, and may help guide clinical decisions for targeted treatments. Positron emission tomography (PET) or single-photon emission tomography (SPECT) imaging has the potential to play an important role in the molecular profiling of therapeutic targets in vivo for the selection of patients who are likely to respond to corresponding targeted therapy. In this review, we discuss the state-of-the-art nuclear imaging agents in clinical research for breast cancer. We reviewed 17 clinical studies on PET or SPECT agents that target 10 different receptors in breast cancer. We also discuss the limitations of the study designs and of the imaging agents in these studies. Finally, we offer our perspective on which imaging agents have the highest potential to be used in clinical practice in the future.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article