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Predictive value of 18 F‐ FDG PET / CT scanning in combination with clinical parameters in patients with newly diagnosed multiple myeloma
Author(s) -
Tu Honglei,
He Yong,
Huang Tianhe,
Choe Songguk,
lan Xiaoli,
Duan Xiaoyi,
Sattar Haseeb,
Li Chongjiao,
Zhou Fuling
Publication year - 2018
Publication title -
european journal of haematology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.904
H-Index - 84
eISSN - 1600-0609
pISSN - 0902-4441
DOI - 10.1111/ejh.13006
Subject(s) - medicine , appendicular skeleton , multiple myeloma , nuclear medicine , receiver operating characteristic , multivariate analysis , pet ct , stage (stratigraphy) , retrospective cohort study , positron emission tomography , radiology , paleontology , anatomy , biology
Objective To evaluate the association of 18 F‐2′‐deoxy 2′‐fluorodeoxyglucose ( 18 F‐ FDG ) PET / CT with clinical parameters in predicting patients with newly diagnosed multiple myeloma ( MM ). Methods A total of 120 MM patients undergoing 18 F‐ FDG PET / CT scanning were analyzed in a retrospective cohort study. Results Based on multivariate analysis, β2M, LDH , number of focal lesions ( FL s), and SUV max were significantly correlated with OS . These 4 variables were used to construct a new staging system ( NSS ) based on the number of risk factors. NSS provided a better discrimination of risk between stages III and II than International staging system ( ISS ) ( P < .001 vs P = .086). For OS , there was no significant difference among risk groups in Durie‐Salmon ( DS ) stage ( P > .05). Based on Spearman correlation analysis, the presence of lesions in appendicular skeleton, number of FL s, and SUV max appeared to indicate advanced stage of MM . ROC curves which showed the combination of β2M with calcium got a specificity of 96.3% for lesions in appendicular skeleton, and LDH alone had 100% specificity in predicting the number of FL s, although the sensitivity was only 50%. Conclusions 18 F‐ FDG PET / CT in combination with clinical parameters provided an accurate and simple method for risk stratification of patients with newly diagnosed MM .