2019
DOI: 10.1097/rct.0000000000000937
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Monoexponential and Biexponential Fitting of Diffusional Magnetic Resonance Imaging Signal Analysis for Prediction of Liver Fibrosis Severity

Abstract: Objective The objective of this study is to compare the value of monoexponential and biexponential approach to the diffusion-weighted magnetic resonance imaging signal in the prediction of the liver fibrosis. Methods Forty patients with hepatitis C were included. Quantification of the apparent diffusion coefficient (ADC) and pure molecular diffusion (D), pseudodiffusion (D*), and perfusion fraction (f) was performed using 9 b values (b = 0, 20, 50, 100,… Show more

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Cited by 3 publications
(3 citation statements)
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“…In most studies, D * was reported to decrease significantly with the progression of LF and considered as the best diagnostic parameter in detecting and staging LF, probably because of the architectural disruption and underlying hemodynamics changes of arterial and portal blood flow in fibrotic liver[ 29 , 38 ]. However, in this meta-analysis, there were one or two studies suggesting D t or f as the best diagnostic index in each LF group[ 25 , 34 , 35 ], as demonstrated in Table 3 , which may be attributed to the different b value distributions in those studies and the relatively large variability of D * [ 39 ]. Although we have validated good reliability of our results by conducting sensitivity analyses in terms of different diagnostic parameters, further investigations are needed to explore the optimal IVIM parameter and its threshold in LF detection and staging.…”
Section: Discussionmentioning
confidence: 93%
See 1 more Smart Citation
“…In most studies, D * was reported to decrease significantly with the progression of LF and considered as the best diagnostic parameter in detecting and staging LF, probably because of the architectural disruption and underlying hemodynamics changes of arterial and portal blood flow in fibrotic liver[ 29 , 38 ]. However, in this meta-analysis, there were one or two studies suggesting D t or f as the best diagnostic index in each LF group[ 25 , 34 , 35 ], as demonstrated in Table 3 , which may be attributed to the different b value distributions in those studies and the relatively large variability of D * [ 39 ]. Although we have validated good reliability of our results by conducting sensitivity analyses in terms of different diagnostic parameters, further investigations are needed to explore the optimal IVIM parameter and its threshold in LF detection and staging.…”
Section: Discussionmentioning
confidence: 93%
“…The baseline, methodological, and imaging protocol characteristics of the included studies are shown in Table 1 and Table 2 . Of these 12 studies, there were 5 studies ( n = 465) for LF ≥ F1[ 24 - 28 ], 9 studies ( n = 757) for LF ≥ F2[ 25 - 27 , 29 - 34 ], 4 studies ( n = 413) for LF ≥ F3[ 25 - 27 , 35 ] and 6 studies ( n = 562) for LF = F4[ 25 - 27 , 29 , 31 , 33 ]. The best IVIM index, diagnostic threshold as well as reporting TP, FP, FN, TN, sensitivity and specificity in four LF groups were displayed in Table 3 .…”
Section: Resultsmentioning
confidence: 99%
“…High T1 values could stratify compensated cirrhosis from decompensated cirrhosis and were associated with and predictive of liver disease outcomes in patients with compensated cirrhosis [98]. In addition, DWI, in particular IVIM, could stratify patients with viral hepatitis in terms of fibrosis [109,115,166] and inflammation [105,110,116], with recent publications discriminating cirrhotic livers from healthy livers [107,116] and stratifying disease severity based on blood biomarker scoring systems [106] or TE [167]. DWI also attains high accuracy for identification of oesophageal and gastric fundic varices [107].…”
Section: Viral Hepatitismentioning
confidence: 99%