期刊
JOURNAL OF MAGNETIC RESONANCE IMAGING
卷 58, 期 1, 页码 122-132出版社
WILEY
DOI: 10.1002/jmri.28486
关键词
DCE-MRI; head and neck cancer; arterial input function; pharmacokinetic parameters; AIF measurement methods
This study evaluates the influence of four individual arterial input function measurement methods on quantitative DCE-MRI parameters. The findings highlight the importance of choosing a standardized method for accurate diagnosis in head and neck cancer patients.
Background Head and neck cancer (HNC) is the sixth most prevalent cancer worldwide. Dynamic contrast-enhanced MRI (DCE-MRI) helps in diagnosis and prognosis. Quantitative DCE-MRI requires an arterial input function (AIF), which affects the values of pharmacokinetic parameters (PKP). Purpose To evaluate influence of four individual AIF measurement methods on quantitative DCE-MRI parameters values (K-trans, v(e), k(ep), and v(p)), for HNC and muscle. Study Type Prospective. Population A total of 34 HNC patients (23 males, 11 females, age range 24-91) Field Strength/Sequence A 3 T; 3D SPGR gradient echo sequence with partial saturation of inflowing spins. Assessment Four AIF methods were applied: automatic AIF (AIFa) with up to 50 voxels selected from the whole FOV, manual AIF (AIFm) with four voxels selected from the internal carotid artery, both conditions without (Mc-) or with (Mc+) motion correction. Comparison endpoints were peak AIF values, PKP values in tumor and muscle, and tumor/muscle PKP ratios. Statistical Tests Nonparametric Friedman test for multiple comparisons. Nonparametric Wilcoxon test, without and with Benjamini Hochberg correction, for pairwise comparison of AIF peak values and PKP values for tumor, muscle and tumor/muscle ratio, P value <= 0.05 was considered statistically significant. Results Peak AIF values differed significantly for all AIF methods, with mean AIFmMc+ peaks being up to 66.4% higher than those for AIFaMc+. Almost all PKP values were significantly higher for AIFa in both, tumor and muscle, up to 76% for mean K-trans values. Motion correction effect was smaller. Considering tumor/muscle parameter ratios, most differences were not significant (0.068 <= Wilcoxon P value <= 0.8). Data Conclusion We observed important differences in PKP values when using either AIFa or AIFm, consequently choice of a standardized AIF method is mandatory for DCE-MRI on HNC. From the study findings, AIFm and inflow compensation are recommended. The use of the tumor/muscle PKP ratio should be of interest for multicenter studies. Evidence Level 2 Technical Efficacy Stage 1
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