Purpose: To demonstrate the relationship between the etiologies of increased diffuse bone marrow (BM) F-18-FDG uptake and PET/CT imaging/clinical features, as well as to explore a predicting model of BM malignant infiltration (MI) based on decision tree. Methods: 84 patients with increased diffuse BM uptake were retrospectively enrolled. Their complete case record and PET/CT images were reviewed, with the maximal standardized uptake values of bone marrow (SUVmaxBM) and other imaging/clinical features were noted. At the same time, the differences in imaging/clinical features between bone marrow MI and non-MI groups were compared. The decision tree for predicting MI was established by C5.0 component of SPSS Clementine. Results: In patients with homogenously increased BM uptake, 21 patients had MI resulted from leukemia, lymphoma and small cell lung cancer (SCLC). MI group had higher SUVmaxBM than non-MI group (6.7 +/- 3.1 vs 4.2 +/- 0.9, p=0.001). However, a considerable proportion of MI patients had similar SUVmaxBM to non-MI patients, which were mainly seen in lymphoplasmacytic lymphoma/Waldenstrom macroglobulinemia (LPL/WM), chronic myeloid leukemia (CML) and multiple myeloma (MM). There were significant differences in other factors between the two groups. MI patients were highly associated with SUVmaxAP/AX >= 1 (the ratio of SUVmaxBM of appendicular skeleton to that of axial skeleton), hepatosplenomegaly, older age and lower rate of fever. The decision tree combining SUVmaxBM, SUVmaxAP/AX, fever and hepatosplenomegaly achieved a sensitivity of 81.0%, a specificity of 98.4% and an accuracy of 94.0% for predicting MI. Conclusion: Increased diffuse BM F-18-FDG uptake can be attributed to both bone marrow MI and benign etiologies. A decision tree based on C5.0 algorithm, combining PET/CT imaging and clinical features, is of potential use in discriminating BM malignant infiltration from patients with increased diffuse BM uptake.
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Catholic Kwandong Univ, Dept Nucl Med, Coll Med, Int St Marys Hosp, Incheon, South Korea
Catholic Kwandong Univ, Inst Integrat Med, Coll Med, Int St Marys Hosp, Incheon, South KoreaCatholic Kwandong Univ, Dept Nucl Med, Coll Med, Int St Marys Hosp, Incheon, South Korea
Lee, Jeong Won
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Lee, Sang-Cheol
Kim, Han Jo
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Soonchunhyang Univ, Cheonan Hosp, Dept Internal Med, Div Hematol Oncol, Cheonan, South KoreaCatholic Kwandong Univ, Dept Nucl Med, Coll Med, Int St Marys Hosp, Incheon, South Korea
Kim, Han Jo
Lee, Sang Mi
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Soonchunhyang Univ, Cheonan Hosp, Dept Nucl Med, 23-20 Byeongmyeong Dong, Cheonan 330721, Chungcheongnam, South KoreaCatholic Kwandong Univ, Dept Nucl Med, Coll Med, Int St Marys Hosp, Incheon, South Korea
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Sichuan Univ, West China Hosp, Dept Nucl Med, 37 Guoxue Alley, Chengdu 610041, Sichuan, Peoples R ChinaSichuan Univ, West China Hosp, Dept Nucl Med, 37 Guoxue Alley, Chengdu 610041, Sichuan, Peoples R China
Shen, Guohua
Liang, Meng
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Shanxi Med Univ, First Hosp, Dept Nucl Med, Taiyuan, Shanxi, Peoples R ChinaSichuan Univ, West China Hosp, Dept Nucl Med, 37 Guoxue Alley, Chengdu 610041, Sichuan, Peoples R China
Liang, Meng
Su, Minggang
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Sichuan Univ, West China Hosp, Dept Nucl Med, 37 Guoxue Alley, Chengdu 610041, Sichuan, Peoples R ChinaSichuan Univ, West China Hosp, Dept Nucl Med, 37 Guoxue Alley, Chengdu 610041, Sichuan, Peoples R China
Su, Minggang
Kuang, Anren
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Sichuan Univ, West China Hosp, Dept Nucl Med, 37 Guoxue Alley, Chengdu 610041, Sichuan, Peoples R ChinaSichuan Univ, West China Hosp, Dept Nucl Med, 37 Guoxue Alley, Chengdu 610041, Sichuan, Peoples R China