Bone scintigraphy is widely used to detect bone metastases, particularly osteoblastic ones, and F-18 fluorodeoxyglucose (FDG) positron emission tomography (PET) scan is useful in detecting lytic bone metastases. In routine studies, images are assessed visually. In this retrospective study, we aimed to assess the osteoblastic, osteolytic, and mixed lytic-sclerotic bone lesions semiquantitatively by measuring maximum standardized uptake value (SUV_max) on FDG PET/computed tomography (CT), maximum lesion to normal bone count ratio (ROImax) on bone scintigraphy, and Hounsfield unit (HU) on CT. Bone scintigraphy and FDG PET/CT images of 33 patients with various solid tumors were evaluated. Osteoblastic, osteolytic, and mixed lesions were identified on CT and SUV_max, ROI_max, and HU values of these lesions were measured. Statistical analysis was performed to determine if there is a difference in SUV_max, ROI_max, and HU values of osteoblastic, osteolytic, and mixed lesions and any correlation between these values. Patients had various solid tumors, mainly lung, breast, and prostate cancers. There were 145 bone lesions (22.8% osteoblastic, 53.1% osteolytic, and 24.1% mixed) on CT. Osteoblastic lesions had a significantly higher value of CT HU as compared to osteolytic and mixed lesions (P < 0.01). There was no significant difference in mean ROI_max and mean SUV_max values of osteolytic and osteoblastic bone lesions. There was no correlation between SUV_max and ROI_max, SUV_max and HU, and ROI_max and HU values in osteolytic, osteoblastic, and mixed lesions (P > 0.05). Not finding a significant difference in SUV_max and ROI_max values of osteoblastic, osteolytic, and mixed lesions and also lack of correlation between SUV_max, ROI_max, and HU values could be due to treatment status of the bone lesions, size of the lesion, nonmetastatic lesions, erroneous measurement of SUV_max and ROI_max, or varying metabolism in bone metastases originating from various malignancies.

#	Concept	H-Index	Publications	Citations
1	Health Sciences	1	1	82
2	Medicine	1	1	82
3	Anesthesia	1	1	82
4	Neuroscience	1	1	82
5	Pharmacology	1	1	82

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