z-logo
Premium
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 .

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom