Limits...
MR Prediction of Liver Function and Pathology Using Gd-EOB-DTPA: Effect of Liver Volume Consideration.

Shimamoto D, Nishie A, Asayama Y, Ushijima Y, Takayama Y, Fujita N, Shirabe K, Hida T, Kubo Y, Honda H - Biomed Res Int (2015)

Bottom Line: The correlation coefficients were compared between ΔLSR (ΔLMR) and ΔLSR (ΔLMR) × LV.The correlation coefficient between ΔLSR (ΔLMR) × LV and cholinesterase was significantly higher than that between ΔLSR (ΔLMR) and cholinesterase.The inclusion of liver volume may improve Gd-EOB-DTPA-based predictions of liver function, but not in predictions of liver pathology.

View Article: PubMed Central - PubMed

Affiliation: Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.

ABSTRACT

Purpose: To evaluate whether the diagnostic performance of Gd-EOB-DTPA-enhanced MRI in evaluating liver function and pathology is improved by considering liver volume (LV).

Methods: This retrospective study included 104 patients who underwent Gd-EOB-DTPA-enhanced MRI before liver surgery. For each patient, using the precontrast and hepatobiliary phase images, we calculated the increase rate of the liver-to-spleen signal intensity ratio (LSR), that is, the "ΔLSR," and the increase rate of the liver-to-muscle signal intensity ratio (LMR), that is, the "ΔLMR." ΔLSR × LV and ΔLMR × LV were also calculated. The correlation of each MR parameter with liver function data or liver pathology was assessed. The correlation coefficients were compared between ΔLSR (ΔLMR) and ΔLSR (ΔLMR) × LV.

Results: The correlation coefficient between ΔLSR (ΔLMR) × LV and cholinesterase was significantly higher than that between ΔLSR (ΔLMR) and cholinesterase. The correlation coefficient between ΔLSR (ΔLMR) × LV and the degree of fibrosis or necroinflammatory activity was significantly lower than that between ΔLSR (ΔLMR) and the degree of fibrosis or necroinflammatory activity.

Conclusion: The inclusion of liver volume may improve Gd-EOB-DTPA-based predictions of liver function, but not in predictions of liver pathology.

No MeSH data available.


Related in: MedlinePlus

Scatterplot showing the relationship between (a) ΔLMR and ChE and (b) ΔLMR × LV and ChE (n = 103). (a) The regression analysis yielded the following standard formula (solid line): ChE = 201.9 ×  ΔLMR + 100.5 (correlation coefficient = 0.590; p < 0.01). (b) The regression analysis yielded the following standard formula (solid line): ChE = 189.7 ×  ΔLMR × LV + 97.0 (correlation coefficient = 0.681; p < 0.01). The correlation coefficient between ΔLMR × LV and ChE was significantly higher than that between ΔLMR and ChE.
© Copyright Policy
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4644534&req=5

fig2: Scatterplot showing the relationship between (a) ΔLMR and ChE and (b) ΔLMR × LV and ChE (n = 103). (a) The regression analysis yielded the following standard formula (solid line): ChE = 201.9 ×  ΔLMR + 100.5 (correlation coefficient = 0.590; p < 0.01). (b) The regression analysis yielded the following standard formula (solid line): ChE = 189.7 ×  ΔLMR × LV + 97.0 (correlation coefficient = 0.681; p < 0.01). The correlation coefficient between ΔLMR × LV and ChE was significantly higher than that between ΔLMR and ChE.

Mentions: Table 2 shows correlation coefficients between ΔLMR or ΔLMR × LV and the laboratory data or pathologic factors. The correlation coefficient between ΔLMR × LV and ChE was significantly higher than that between ΔLMR and ChE (p < 0.01) (Figure 2). The correlation coefficients between ΔLMR × LV and Plt, Alb, LDH, Child-Pugh score, or MELD score tended to be higher than those between ΔLMR and Plt, Alb, LDH, Child-Pugh score, or MELD score. However, the correlation coefficient between ΔLMR × LV and the degree of fibrosis or necroinflammatory activity was significantly lower than that between ΔLMR and the degree of fibrosis (p < 0.05) or necroinflammatory activity (p < 0.01). The correlation coefficient between ΔLMR × LV and T-bil tended to be lower than that between ΔLMR and T-bil.


MR Prediction of Liver Function and Pathology Using Gd-EOB-DTPA: Effect of Liver Volume Consideration.

Shimamoto D, Nishie A, Asayama Y, Ushijima Y, Takayama Y, Fujita N, Shirabe K, Hida T, Kubo Y, Honda H - Biomed Res Int (2015)

Scatterplot showing the relationship between (a) ΔLMR and ChE and (b) ΔLMR × LV and ChE (n = 103). (a) The regression analysis yielded the following standard formula (solid line): ChE = 201.9 ×  ΔLMR + 100.5 (correlation coefficient = 0.590; p < 0.01). (b) The regression analysis yielded the following standard formula (solid line): ChE = 189.7 ×  ΔLMR × LV + 97.0 (correlation coefficient = 0.681; p < 0.01). The correlation coefficient between ΔLMR × LV and ChE was significantly higher than that between ΔLMR and ChE.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4644534&req=5

fig2: Scatterplot showing the relationship between (a) ΔLMR and ChE and (b) ΔLMR × LV and ChE (n = 103). (a) The regression analysis yielded the following standard formula (solid line): ChE = 201.9 ×  ΔLMR + 100.5 (correlation coefficient = 0.590; p < 0.01). (b) The regression analysis yielded the following standard formula (solid line): ChE = 189.7 ×  ΔLMR × LV + 97.0 (correlation coefficient = 0.681; p < 0.01). The correlation coefficient between ΔLMR × LV and ChE was significantly higher than that between ΔLMR and ChE.
Mentions: Table 2 shows correlation coefficients between ΔLMR or ΔLMR × LV and the laboratory data or pathologic factors. The correlation coefficient between ΔLMR × LV and ChE was significantly higher than that between ΔLMR and ChE (p < 0.01) (Figure 2). The correlation coefficients between ΔLMR × LV and Plt, Alb, LDH, Child-Pugh score, or MELD score tended to be higher than those between ΔLMR and Plt, Alb, LDH, Child-Pugh score, or MELD score. However, the correlation coefficient between ΔLMR × LV and the degree of fibrosis or necroinflammatory activity was significantly lower than that between ΔLMR and the degree of fibrosis (p < 0.05) or necroinflammatory activity (p < 0.01). The correlation coefficient between ΔLMR × LV and T-bil tended to be lower than that between ΔLMR and T-bil.

Bottom Line: The correlation coefficients were compared between ΔLSR (ΔLMR) and ΔLSR (ΔLMR) × LV.The correlation coefficient between ΔLSR (ΔLMR) × LV and cholinesterase was significantly higher than that between ΔLSR (ΔLMR) and cholinesterase.The inclusion of liver volume may improve Gd-EOB-DTPA-based predictions of liver function, but not in predictions of liver pathology.

View Article: PubMed Central - PubMed

Affiliation: Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.

ABSTRACT

Purpose: To evaluate whether the diagnostic performance of Gd-EOB-DTPA-enhanced MRI in evaluating liver function and pathology is improved by considering liver volume (LV).

Methods: This retrospective study included 104 patients who underwent Gd-EOB-DTPA-enhanced MRI before liver surgery. For each patient, using the precontrast and hepatobiliary phase images, we calculated the increase rate of the liver-to-spleen signal intensity ratio (LSR), that is, the "ΔLSR," and the increase rate of the liver-to-muscle signal intensity ratio (LMR), that is, the "ΔLMR." ΔLSR × LV and ΔLMR × LV were also calculated. The correlation of each MR parameter with liver function data or liver pathology was assessed. The correlation coefficients were compared between ΔLSR (ΔLMR) and ΔLSR (ΔLMR) × LV.

Results: The correlation coefficient between ΔLSR (ΔLMR) × LV and cholinesterase was significantly higher than that between ΔLSR (ΔLMR) and cholinesterase. The correlation coefficient between ΔLSR (ΔLMR) × LV and the degree of fibrosis or necroinflammatory activity was significantly lower than that between ΔLSR (ΔLMR) and the degree of fibrosis or necroinflammatory activity.

Conclusion: The inclusion of liver volume may improve Gd-EOB-DTPA-based predictions of liver function, but not in predictions of liver pathology.

No MeSH data available.


Related in: MedlinePlus