T-H Su1, E-H Jin, H Shen, Y Zhang, W He. 1. Department of Radiology, Beijing Friendship Hospital, Capital Medical University, 95 Yong-An Road, Beijing, China.
Abstract
AIM: To characterize normal pancreas metabolites using in vivo proton magnetic resonance spectroscopy ((1)H MRS) at 3T under conditions of breath-holding and free-breathing. MATERIALS AND METHODS: The pancreases of 32 healthy volunteers were examined using (1)H MRS during breath-holding and free-breathing acquisitions in a single-voxel point-resolved selective spectroscopy sequence (PRESS) technique using a 3T MRI system. Resonances were compared between paired spectra of the two breathing modes. Furthermore, correlations between lipid (Lip) content and age, body-mass index (BMI), as well as choline (Cho) peak visibility of the normal pancreas were analysed during breath-holding. RESULTS: Twenty-nine pairs of spectra were successfully obtained showing three major resonances, Lip, Cho, cholesterol and the unsaturated parts of the olefinic region of fatty acids (Chol+Unsat). Breath-hold spectra were generally better, with higher signal-to-noise ratios (SNR; Z=-2.646, p=0.008) and Cho peak visible status (Z=-2.449, p=0.014). Correlations were significant between spectra acquired by the two breathing modes, especially for Lip height, Lip area, and the area of other peaks at 1.9-4.1ppm. However, the Lip resonance was significantly different between the spectra of the two breathing modes (p<0.05). In the breath-holding spectra, there were significant positive correlations between Lip peak height, area, and age (r=0.491 and 0.521, p=0.007 and 0.004), but not between Lip peak area and BMI. There was no statistical difference in Cho resonances between males and females. The Lip peak height and area were significantly higher in the Cho peak invisible group than in the Cho peak visible group (t=2.661 and 2.353, p=0.030 and 0.043). CONCLUSION: In vivo(1)H MRS of the normal pancreas at 3T is technically feasible and can characterize several metabolites. (1)H MRS during breath-holding acquisition is superior to that during free-breathing acquisition.
AIM: To characterize normal pancreas metabolites using in vivo proton magnetic resonance spectroscopy ((1)H MRS) at 3T under conditions of breath-holding and free-breathing. MATERIALS AND METHODS: The pancreases of 32 healthy volunteers were examined using (1)H MRS during breath-holding and free-breathing acquisitions in a single-voxel point-resolved selective spectroscopy sequence (PRESS) technique using a 3T MRI system. Resonances were compared between paired spectra of the two breathing modes. Furthermore, correlations between lipid (Lip) content and age, body-mass index (BMI), as well as choline (Cho) peak visibility of the normal pancreas were analysed during breath-holding. RESULTS: Twenty-nine pairs of spectra were successfully obtained showing three major resonances, Lip, Cho, cholesterol and the unsaturated parts of the olefinic region of fatty acids (Chol+Unsat). Breath-hold spectra were generally better, with higher signal-to-noise ratios (SNR; Z=-2.646, p=0.008) and Cho peak visible status (Z=-2.449, p=0.014). Correlations were significant between spectra acquired by the two breathing modes, especially for Lip height, Lip area, and the area of other peaks at 1.9-4.1ppm. However, the Lip resonance was significantly different between the spectra of the two breathing modes (p<0.05). In the breath-holding spectra, there were significant positive correlations between Lip peak height, area, and age (r=0.491 and 0.521, p=0.007 and 0.004), but not between Lip peak area and BMI. There was no statistical difference in Cho resonances between males and females. The Lip peak height and area were significantly higher in the Cho peak invisible group than in the Cho peak visible group (t=2.661 and 2.353, p=0.030 and 0.043). CONCLUSION: In vivo(1)H MRS of the normal pancreas at 3T is technically feasible and can characterize several metabolites. (1)H MRS during breath-holding acquisition is superior to that during free-breathing acquisition.
Authors: Min-Hui Cui; Craig A Branch; Sean M Cahill; Thomas J Quinn; Asha Adem; Steven K Libutti; Ziqiang Yuan Journal: Magn Reson Med Date: 2014-11-13 Impact factor: 4.668
Authors: Roberto García-Figueiras; Sandra Baleato-González; Anwar R Padhani; Laura Oleaga; Joan C Vilanova; Antonio Luna; Juan Carlos Cobas Gómez Journal: Diagn Interv Radiol Date: 2016 Jan-Feb Impact factor: 2.630