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Determination of the Estrogen Receptor Status of Leptomeningeal Metastasis in Patients with Metastatic Breast Cancer Using [18F]-FES PET/CT: a Case Report.
Ryu, Jeongryul; Jeong, Jae Ho; Moon, Dae Hyuk; Lee, Dong Yun.
Affiliation
  • Ryu J; Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505 Republic of Korea.
  • Jeong JH; Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Moon DH; Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505 Republic of Korea.
  • Lee DY; Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505 Republic of Korea.
Nucl Med Mol Imaging ; 56(2): 105-109, 2022 Apr.
Article de En | MEDLINE | ID: mdl-35464670
ABSTRACT
Accurate determination of the hormone receptor status in patients with breast cancer is necessary to provide better palliative treatment because of the frequent discordant status of hormone receptors between primary breast cancer and metastatic lesions. In particular, the invasive nature and small number of cells recovered from the cerebrospinal fluid collected through lumbar puncture limit the detailed immunocytochemistry investigation of leptomeningeal metastasis. Moreover, none of the conventional imaging modalities provide any information on the hormone receptor status of leptomeningeal metastasis in patients with breast cancer. Herein, we report estrogen receptor-positive leptomeningeal metastasis clearly demonstrated by 16α-[18F]-fluoro-17ß-estradiol ([18F]-FES) positron emission tomography/computed tomography (PET/CT) in a patient with metastatic breast cancer.
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Nucl Med Mol Imaging Année: 2022 Type de document: Article

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Nucl Med Mol Imaging Année: 2022 Type de document: Article