Value of IVIM and enhanced T1mapping in predicting chemotherapy efficacy of lung cancer
LYU Binglin
ZHAO Peng
ZHANG Yang
LIN Xiangta
GUO Wenxiu
HAN Huizhi
Abstract:Objective To investigate the role of quantitative parameters obtained based on intravoxel incoherent motion-diffusion weighted imaging(IVIM-DWI)and enhanced T1mapping sequences in predicting the chemotherapy efficacy in lung cancer.Methods Fifty-two patients with advanced lung cancer who were diagnosed by pathology and had completed at least two cycles of chemotherapy in our hospital were selected and divided into a treatment-sensitive group and an insensitive group ac-cording to their treatment effects.Patients underwent IVIM-DWI and enhanced T1mapping sequences prior to treatment,and D,D*,f values,values of enhanced T1mapping parameters(T1pre,T1post,ΔT1%),and extracellular volume(ECV)fraction were measured and calculated.Statistical analysis was performed.Results The T1post values of pre-treatment lesions in the sensitive group were significantly lower than those in the insensitive group(t=-4.96,P<0.001),and the ΔT1%and ECV fractions of pre-treatment lesions were significantly higher than those in the insensitive group(t=5.40,P<0.001;t=5.64,P<0.001).The ROC curves showed that ECV fractions had the highest AUC in predicting chemotherapy efficacy in lung cancer(AUC=0.880),and there was no significant difference in AUC between ECV fractions and T1post or ΔT1%.D,D*,f,and T1pre showed no statisti-cally significant differences between the two groups(P>0.05).Conclusion T1post,ΔT1%and ECV fraction have a role in pre-dicting the efficacy of advanced lung cancer before chemotherapy,and the sensitive group usually has lower T1post values,higher ΔT1%values and ECV fraction than the insensitive group.
Keywords:Lung cancerPredictive valueMagnetic resonance imagingDiffusion weighted imaging
Publication Date:2024-02-28
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:5( 33-37 )
Journal of Medical Imaging

Journal of Medical Imaging

ISSN:1006-9011
Year, Vol.(Issue):2024,34(2)