PET/CT Correlation with Molecular Subtypes in Metastatic Breast Cancer

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Details

PET/CT has higher sensitivity, specificity and accuracy in detection of metastatic spread and follows up after treatment. The aim of this study: to assess of the impact of PET/CT in patients with MBC and monitoring the therapy response in relation to different molecular sub-types. Material and Methods: 40 patients classified into 4 molecular sub-types; Luminal A like 13 patients, Luminal B+ sub type 15 patients, Luminal B- sub type 4 patients and Basal like sub type 8 patients. All patients performed PET-CT before treatment, while 34 patients perform PET-CT at end of therapy. Results: on lesion based analysis 120 metastatic lesions are seen in CT and bone scan and 76 lesions are seen in PET/CT. During follow up, the majority of luminal A group showed complete response to therapy luminal B+ subgroup showed partial response and most of basal-like subgroup showed progressive disease. Conclusion: PET/CT can detect metastatic spread in breast cancer and monitor therapy response in relation to different molecular sub-types. The mean SUV max showed relation to the different molecular sub-types.

Autorentext

H. Moustafa: Dottorato, Università del Cairo, Egitto, novembre 1979. Professore di medicina nucleare all'Università del Cairo. Responsabile del progetto AFRA di Medicina Nucleare in Egitto (2003-2030). Supervisione di 146 tesi di laurea in Medicina Nucleare. 50 pubblicazioni internazionali. Responsabile della Società egiziana di NM e della rivista di medicina nucleare ESNMS, dal 2008 a oggi.

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Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786139844531
    • Sprache Englisch
    • Größe H220mm x B150mm x T5mm
    • Jahr 2018
    • EAN 9786139844531
    • Format Kartonierter Einband
    • ISBN 6139844533
    • Veröffentlichung 05.06.2018
    • Titel PET/CT Correlation with Molecular Subtypes in Metastatic Breast Cancer
    • Autor Hosna Moustafa , Ahmed Nasr , Ahmed Tawakol
    • Gewicht 125g
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 72
    • Genre Sozialwissenschaften, Recht & Wirtschaft

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