Kitagawa Taichi, Kozaka Kazuto, Matsubara Takashi, Wakayama Tetsuya, Takamatsu Atsushi, Kobayashi Tomohiro, Okumura Kenichiro, Yoshida Kotaro, Yoneda Norihide, Kitao Azusa, Kobayashi Satoshi, Gabata Toshifumi, Matsui Osamu, Heiken Jay P
Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1, Takara-machi, Kanazawa, Ishikawa 920-8641, Japan.
Applied Science Laboratory Japan and Vascular MR, MR Clinical Solutions and Research Collaborations, GE HealthCare, 4-7-127, Asahigaoka, Hino, Tokyo 191-8503, Japan.
Eur J Radiol Open. 2023 Aug 17;11:100519. doi: 10.1016/j.ejro.2023.100519. eCollection 2023 Dec.
To assess the feasibility of the 6-point Dixon method for evaluating liver masses. We also report our initial experience with the quantitative values in various liver masses on a 3T system.
Of 251 consecutive patients for whom 6-point Dixon was employed in abdominal magnetic resonance imaging scans between October 2020 and October 2021, 117 nodules in 117 patients with a mass diameter of more than 1 cm were included in the study. Images for measuring the proton density fat fraction (PDFF) and R2 * values were obtained using the iterative decomposition of water and fat with echo asymmetry and least-squares estimation-quantitative technique for liver imaging. Two radiologists independently measured PDFF (%) and R2 * (Hz). Inter-reader agreement and the differences between readers were examined using intra-class correlation coefficient (ICC) and the Bland-Altman method, respectively. PDFF and R2 * values in differentiating liver masses were examined.
The masses included hepatocellular carcinoma (n = 59), cyst (n = 20), metastasis (n = 14), hemangioma (n = 8), and others (n = 16). The ICCs for the region of interest (mm), PDFF, and R2 * were 0.988 (95 % confidence interval (CI): 0.983, 0.992), 0.964 (95 % CI: 0.949, 0.975), and 0.962 (95 % CI: 0.941, 0.975), respectively. The differences of measurements between the readers showed that 5.1 % (6/117) and 6.0% (7/117) for PDFF and R2 * , respectively, were outside the 95 % CI.
Our observation indicates that the 6-point Dixon method is applicable to liver masses.
评估六点狄克逊法用于评估肝脏肿块的可行性。我们还报告了在3T系统上对各种肝脏肿块定量值的初步经验。
在2020年10月至2021年10月期间接受腹部磁共振成像扫描且采用六点狄克逊法的251例连续患者中，纳入了117例肿块直径大于1 cm患者的117个结节进行研究。使用肝脏成像的水脂迭代分解回声不对称最小二乘估计定量技术获取测量质子密度脂肪分数（PDFF）和R2值的图像。两名放射科医生独立测量PDFF（%）和R2（Hz）。分别使用组内相关系数（ICC）和布兰德-奥特曼方法检查读者间的一致性以及读者之间的差异。研究了PDFF和R2*值在鉴别肝脏肿块中的作用。
这些肿块包括肝细胞癌（n = 59）、囊肿（n = 20）、转移瘤（n = 14）、血管瘤（n = 8）和其他（n = 16）。感兴趣区域（mm）、PDFF和R2的ICC分别为0.988（95%置信区间（CI）：0.983，0.992）、0.964（95%CI：0.949，0.975）和0.962（95%CI：0.941，0.975）。读者之间测量值的差异表明，PDFF和R2分别有5.1%（6/117）和6.0%（7/117）超出95%CI。
我们的观察表明，六点狄克逊法适用于肝脏肿块。
