Monoexponential, biexponential, stretched exponential and diffusion kurtosis models of diffusion-weighted imaging: a quantitative differentiation of solitary pulmonary lesion

Background Diffusion-weighted imaging (DWI) can be used for quantitative tumor assessment. DWI with different models may show different aspects of tissue characteristics. Objective To investigate the diagnostic performance of parameters derived from monoexponential, biexponential, stretched exponent...

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Published inBMC medical imaging Vol. 24; no. 1; pp. 346 - 10
Main Authors Wang, Ke, Wu, Guangyao
Format Journal Article
LanguageEnglish
Published London BioMed Central 20.12.2024
BioMed Central Ltd
BMC
Subjects
Online AccessGet full text
ISSN1471-2342
1471-2342
DOI10.1186/s12880-024-01537-5

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Summary:Background Diffusion-weighted imaging (DWI) can be used for quantitative tumor assessment. DWI with different models may show different aspects of tissue characteristics. Objective To investigate the diagnostic performance of parameters derived from monoexponential, biexponential, stretched exponential magnetic resonance diffusion weighted imaging (DWI) and diffusion kurtosis imaging (DKI) in differentiating benign from malignant solitary pulmonary lesions (SPLs). Method Forty-four SPL subjects were selected according to the inclusion criteria. All patients underwent conventional and multi‑b DWI sequences. Monoexponential DWI and DKI model were fitted using least square method. Levenberg-Marquardt nonlinear fitting biexponential and stretched exponential DWI. Region of interests (ROIs) were described manually. Parameters between benign and malignant SPLs were compared using independent sample t test or the Mann-Whitney U test. Receiver operating characteristic (ROC) curves analysis was used to investigate the diagnostic performance of different DWI parameters. Correlation between all parameters were evaluated by using Spearman correlation. Result ADC, ADC slow , α, DDC and D app values were significantly lower in malignant SPL than in benign SPL ( P  < 0.001). K app was significantly higher in malignant SPL than in benign SPL ( P  < 0.001). Among all subjects, ADC slow was significantly lower than ADC ( P  < 0.05), while DDC and D app were significantly higher than ADC ( P  < 0.05). When observing the ROC curves for distinguishing benign and malignant SPL, the AUC values of ADC, ADC slow , DDC, D app , and K app were 0.904, 0.815, 0.942, 0.93, and 0.815, respectively. The DDC value has the highest area under ROC curve value. DeLong analysis showed no statistically significant difference in the area under ADC, DDC, and D app curves. There were strong correlations among ADC, ADC slow , ADC fast , f, α, DDC, D app , and K app ( P  < 0.001). Conclusion Multi‑b DWI is a promising method for differentiating benign from malignant SPLs with high diagnostic accuracy. In addition, the DDC derived from stretched‑exponential model is the most promising DWI parameter for the differentiation of benign and malignant SPLs. Trail registration This study was a clinical trail study, with study protocol published at ClinicalTrails. Retrospectively registered number ChiCTR2300074258, date of registration 02/08/2023.
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ISSN:1471-2342
1471-2342
DOI:10.1186/s12880-024-01537-5