MR quantification of hepatic iron concentration
| Autor: | Pedro Otazua, Cristina Agirre, José Antonio Recondo, Agustin Castiella, García-Bengoechea M, Jose I. Emparanza, Fernando Mújica, Jose M. Alústiza, Jesús Barrio, Jose Artetxe |
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| Rok vydání: | 2003 |
| Předmět: |
Adult
Male Hemosiderosis Biopsy Iron Sensitivity and Specificity Nuclear magnetic resonance Liver Function Tests Reference Values Image Interpretation Computer-Assisted medicine Humans Radiology Nuclear Medicine and imaging Muscle Skeletal Mathematical Computing Hemochromatosis Aged medicine.diagnostic_test business.industry Magnetic resonance imaging Middle Aged medicine.disease Image Enhancement Magnetic Resonance Imaging Liver ROC Curve Liver biopsy Spin echo Regression Analysis Female business Nuclear medicine Liver function tests Quantitative analysis (chemistry) |
| Zdroj: | Radiology. 230(2) |
| ISSN: | 0033-8419 |
| Popis: | To evaluate the accuracy of magnetic resonance (MR) imaging in the quantification of hepatic iron concentration.Between April 1999 and June 2001, 112 patients were recruited prospectively. All had undergone liver biopsy and hepatic iron concentration quantification with spectrophotometry, followed by MR imaging. MR imaging involved use of four gradient-echo sequences and one spin-echo sequence. Signal intensity (SI) was measured on images obtained with each sequence by means of regions of interest placed in the liver and paraspinal muscle to obtain the liver-to-muscle SI ratio. The relationship between hepatic iron concentration and SI ratio for each sequence was analyzed with multiple linear regression. Receiver operating characteristic analysis was performed to find the diagnostic thresholds.Sixty-eight patients had normal hepatic iron levels (36 micromol/g), 23 had hemosiderosis (36-80 micromol/g), and 21 had hemochromatosis (80 micromol/g). With all sequences, an inverse linear relationship between iron concentration and SI ratio was apparent. The authors generated a mathematic model to estimate the iron concentrations from MR imaging data (r = 0.937). For estimated concentrations of more than 85 micromol/g, the positive predictive value for hemochromatosis was 100%; for those less than 40 micromol/g, the negative predictive value for hemochromatosis was 100%. For estimated concentrations of more than 58 micromol/g, the positive predictive value for iron overload was 100%; for those less than 20 micromol/g, the negative predictive value for iron overload was 100%.MR imaging is a useful and noninvasive diagnostic tool for quantification of hepatic iron concentration. |
| Databáze: | OpenAIRE |
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