Quantitative CT Detects Undiagnosed Low Bone Mineral Density in Oncologic Patients Imaged With 18F-FDG PET/CT.
Quantitative CT Detects Undiagnosed Low Bone Mineral Density in Oncologic Patients Imaged With 18F-FDG PET/CT.
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DOI:
10.1097/rlu.0000000000003416
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发表时间:
2021-01
影响因子:
10.6
通讯作者:
Öz OK
中科院分区:
文献类型:
--
作者:
Kay FU;Ho V;Dosunmu EB;Chhabra A;Brown K;Duan X;Öz OK
We assessed the prevalence of low bone mineral density (BMD) in oncologic patients undergoing F-18-FDG-PET/CT. Retrospective analysis of 100 patients who underwent F-18-FDG-PET/CT at a single center from October 2015 till May 2016. Quantitative computed tomography (QCT) was used to assess BMD at the lumbar spine (BMDQCT) and femoral necks (BMDCTXA). SUVmax was used to evaluate metabolic activity of the bone marrow. Risk of osteoporosis-related fractures was calculated with femoral neck BMDCTXA and the FRAX® algorithm, which was compared against measurements of CT attenuation of the trabecular bone at L1 (L1HU). Osteoporosis/osteopenia were respectively present in 16%/46% of patients ≥ 50 years old. Bone marrow SUVmax was correlated with BMD at the lumbar spine (ρ=0.36, p<0.001). Increased age and low marrow SUVmax were associated with low BMDQCT at the lumbar spine (both p<0.001), while increased age, female sex, and low marrow SUVmax were associated with low BMDCTXA at the femoral necks (p<0.001, p<0.001, p=0.01, respectively). L1HU had an area under the curve of 0.95 (95% confidence interval, CI=0.90–0.99) for detecting increased risk for osteoporosis-related fracture, with best threshold of 125.8 HU (95%CI=115.7–144.9) yielding sensitivity of 100% (95%CI=0.92–1.00), specificity of 0.90 (95%CI=0.76–0.97), and accuracy of 0.91 (95%CI=0.79–0.97). Low BMD is frequent in oncologic patients undergoing F-18-FDG-PET/CT. Decreased F-18-FDG avidity of the bone marrow correlates with decreased BMD, validating the link between osteoporosis and bone marrow fat. L1HU could be a simple and accurate approach for detecting patients at risk for osteoporosis-related fractures using PET/CT data.