Multiple myeloma in a patient with suspected hyperparathyroidism
Publish place: Iranian Journal of Nuclear Medicine، Vol: 28، Issue: 1
Publish Year: 1399
نوع سند: مقاله ژورنالی
زبان: English
View: 403
This Paper With 5 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IRJNM-28-1_007
تاریخ نمایه سازی: 19 بهمن 1398
Abstract:
Multiple myeloma (MM) is a clonal B-lymphocyte neoplasm of terminally differentiated plasma cells. Imaging modalities which allow the recognition of the effects of myeloma cells on the skeletal system have been utilized for a long time. Herein, we represent a patient with generalized osteoporosis and hypercalcemia, who was referred for parathyroid scan, in whom the widespread bone marrow technetium-99m-methoxy-2-isobutylisonitrile (99mTc-MIBI) uptake suggested the presence of a bone marrow involving pathology, which turned out to be multiple myeloma on bone marrow biopsy. The current case report highlights the importance of 99mTc-MIBI scintigraphy, with a relatively low cost and better accessibility compared with other high sensitivity modalities such as PET-CT, to be used to demonstrate multiple myeloma bone marrow involvement, which could incline physicians to consider 99mTc-MIBI scintigraphy as a complementary diagnostic tool for multiple myeloma.
Keywords:
Authors
Alireza Emami-Ardekani
Research Center for Nuclear Medicine, Tehran University of Medical Sciences, Tehran, Iran
Sara Harsini
Research Center for Nuclear Medicine, Tehran University of Medical Sciences, Tehran, Iran|Association of Nuclear Medicine and Molecular Imaging (ANMMI), Universal Scientific Education and Research Network (USERN), Tehran, Iran
Armaghan Fard-Esfahani
Research Center for Nuclear Medicine, Tehran University of Medical Sciences, Tehran, Iran
Mohammad Eftekhari
Research Center for Nuclear Medicine, Tehran University of Medical Sciences, Tehran, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :