AI Article Synopsis
- A 40-year-old Japanese man with AIDS was diagnosed with Kaposi sarcoma after skin lesion biopsies.
- Imaging tests showed that 18F-fluorodeoxyglucose-PET/CT detected abnormal activity in the KS lesions, while gallium-67 scintigraphy did not.
- The study suggests that using both imaging techniques can help differentiate Kaposi sarcoma from other types of cancer and infections.
Article Abstract
A 40-year-old Japanese man with acquired immunodeficiency syndrome was diagnosed with Kaposi sarcoma (KS) on the basis of the results of skin lesion biopsies. In addition, 18F-fluorodeoxyglucose-position emission tomography-computed tomography revealed abnormal fluorodeoxyglucose uptake in KS lesions, whereas gallium-67 scintigraphy did not show uptake of gallium. These findings indicate that combining these imaging modalities can help distinguish KS from other malignancies and opportunistic infections.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4712196 | PMC |
| http://dx.doi.org/10.1016/j.idcr.2015.05.001 | DOI Listing |
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Article Synopsis
- A 40-year-old Japanese man with AIDS was diagnosed with Kaposi sarcoma after skin lesion biopsies.
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- The study suggests that using both imaging techniques can help differentiate Kaposi sarcoma from other types of cancer and infections.
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Background: The objective of the current study was to investigate the prognostic value of pretreatment [(18) F] fluorodeoxyglucose position emission tomography/computed tomography ([(18) F]FDG PET/CT) in patients with advanced-stage breast cancer.
Methods: Pretreatment PET/CT scans from 240 consecutive patients with American Joint Committee on Cancer stage III or stage IV BC were analyzed retrospectively. Clinicopathological factors and metabolic parameters of the primary tumor including maximum standardized uptake value (SUVmax ), metabolic tumor volume, and total lesion glycolysis (TLG) with a range of thresholds were compared to predict progression-free survival (PFS) and overall survival (OS) using a time-dependent receiver operating characteristic curve and Cox proportional hazards regression analyses.
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