Open AccessAssessment of different mathematical models for diffusion‐weighted imaging as quantitative biomarkers for differentiating benign from malignant solid hepatic lesions
Author(s) -
Hu Yao,
Tang Hao,
Li Haojie,
Li Anqin,
Li Jiali,
Hu Daoyu,
Li Zhen,
Kamel Ihab R.
Publication year - 2018
Publication title -
cancer medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.403
H-Index - 53
ISSN - 2045-7634
DOI - 10.1002/cam4.1535
Subject(s) - medicine , differential diagnosis , parenchyma , liver parenchyma , receiver operating characteristic , pathology , perfusion , lesion , diffusion mri , magnetic resonance imaging , nuclear medicine , radiology
Abstract To quantitatively compare the monoexponential, biexponential, and stretched‐exponential diffusion‐weighted imaging ( DWI ) models in differentiating benign from malignant solid hepatic lesions. The institutional review board approved this retrospective study and waived the informed consent requirement. A total of 188 patients with 288 hepatic lesions included 202 malignant lesions and 86 benign lesions were assessed (confirmed by pathology or clinical follow‐up for 6 months). All patients underwent hepatic 3.0‐T MRI , including multi‐b DWI that used 12 b values. The ADC , D p , D t , perfusion fraction ( f p ), α, and DDC values for normal liver, benign liver lesions, and malignant liver lesions were calculated. Independent sample t tests were used for comparisons. The diagnostic performance of the parameters was evaluated using ROC analysis. The AUC value for each model was also calculated. The value of D p was significantly lower in benign lesions than in normal hepatic parenchyma while others were significantly higher ( P < .001). Whereas Values of D t and α in malignant hepatic lesions were significantly higher than in normal hepatic parenchyma ( P < .001), and the D p value was significantly lower ( P < .001). Values of ADC , f p , DDC , and α for malignant hepatic lesions were significantly lower than those for benign hepatic lesions ( P < .001). ROC analysis showed that the diagnostic value of the biexponential model of normal hepatic parenchyma vs benign hepatic lesions and normal hepatic parenchyma vs malignant hepatic lesions was high (0.946 and 0.876, respectively). In the differential diagnosis of benign and malignant hepatic lesions, DDC had the highest AUC value (0.819). The biexponential and stretched‐exponential DWI may provide additional information and improve the differential diagnosis of benign and malignant hepatic lesions compared with the monoexponential DWI .