@article{oai:soar-ir.repo.nii.ac.jp:00008040,
 author = {Fujinaga,  Yasunari and Kadoya,  Masumi and Kozaka,  Kazuto and Shinmura,  Rieko and Matsui,  Osamu and Takayama,  Tadatoshi and Yamamoto,  Masakazu and Kokudo,  Norihiro and Kawasaki,  Seiji and Arii,  Shigeki},
 issue = {5},
 journal = {HEPATOLOGY RESEARCH},
 month = {May},
 note = {Aim We aimed to correlate the macroscopic and magnetic resonance imaging (MRI) findings of hepatocellular carcinomas (HCC). Methods This was a multicenter study, whose study protocol was approved by each institutional review board. One hundred and forty-six resected nodules in 124 patients who had received a preoperative hepatobiliary phase of gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid-enhanced MRI (EOB-MRI) were analyzed. In both findings, we compared the diameter of HCC and macroscopic types divided into five types: (i) small nodular type with indistinct margin (SN-IM); (ii) simple nodular type (with distinct margin) (SN-DM); (iii) simple nodular type with extranodular growth (SN-EG); (iv) confluent multinodular type (CMN); and (v) infiltrative type (IF). Results The diameters in each finding (Dsurg and DMRI) were significantly correlated (R=0.961), although Dsurg was larger than DMRI (P=0.0216). There were significant differences between Dsurg in SN-IM and the other groups (P<0.0001). Sensitivity, specificity and accuracy were 5.3, 99.2 and 87; 84.8, 62.7 and 81.4; 58.1, 91.3 and 84.2; 70.6, 91.5 and 89, in SN-IM, SN-DM, SN-EG and CMN, respectively. The kappa value of every size was as follows: all sizes, 0.45; 20mm or less, 0.23; more than 20mm, 0.56. Conclusion EOB-MRI could predict the macroscopic pathological findings except for SN-IM. Small tumor size might be helpful to diagnose SN-IM., Article, HEPATOLOGY RESEARCH. 43(5):488-494 (2013)},
 pages = {488--494},
 title = {Prediction of macroscopic findings of hepatocellular carcinoma on hepatobiliary phase of gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid-enhanced magnetic resonance imaging: Correlation with pathology},
 volume = {43},
 year = {2013}
}