Assessment of Liver Fibrosis Stage Using Integrative Analysis of Hepatic Heterogeneity and Nodularity in Routine MRI with FIB-4 Index as Reference Standard
Image-based quantitative methods for liver heterogeneity (L<sub>Het</sub>) and nodularity (L<sub>Nod</sub>) provide helpful information for evaluating liver fibrosis; however, their combinations are not fully understood in liver diseases. We developed an integrated software f...
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| Format: | Article |
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MDPI AG
2021-04-01
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| Series: | Journal of Clinical Medicine |
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| Online Access: | https://www.mdpi.com/2077-0383/10/8/1697 |
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| author | Tae-Hoon Kim Chang-Won Jeong Ji Eon Kim Jin Woong Kim Hoon Gil Jo Youe Ree Kim Young Hwan Lee Kwon-Ha Yoon |
| author_facet | Tae-Hoon Kim Chang-Won Jeong Ji Eon Kim Jin Woong Kim Hoon Gil Jo Youe Ree Kim Young Hwan Lee Kwon-Ha Yoon |
| author_sort | Tae-Hoon Kim |
| collection | DOAJ |
| description | Image-based quantitative methods for liver heterogeneity (L<sub>Het</sub>) and nodularity (L<sub>Nod</sub>) provide helpful information for evaluating liver fibrosis; however, their combinations are not fully understood in liver diseases. We developed an integrated software for assessing L<sub>Het</sub> and L<sub>Nod</sub> and compared L<sub>Het</sub> and L<sub>Nod</sub> according to fibrosis stages in chronic liver disease (CLD). Overall, 111 CLD patients and 16 subjects with suspected liver disease who underwent liver biopsy were enrolled. The procedures for quantifying L<sub>Het</sub> and L<sub>Nod</sub> were bias correction, contour detection, liver segmentation, and L<sub>Het</sub> and L<sub>Nod</sub> measurements. L<sub>Het</sub> and L<sub>Nod</sub> scores among fibrosis stages (F0–F3) were compared using ANOVA with Tukey’s test. Diagnostic accuracy was determined by calculating the area under the receiver operating characteristics (AUROC) curve. The mean L<sub>Het</sub> scores of F0, F1, F2, and F3 were 3.49 ± 0.34, 5.52 ± 0.88, 6.80 ± 0.97, and 7.56 ± 1.79, respectively (<i>p</i> < 0.001). The mean L<sub>Nod</sub> scores of F0, F1, F2, and F3 were 0.84 ± 0.06, 0.91 ± 0.04, 1.09 ± 0.08, and 1.15 ± 0.14, respectively (<i>p</i> < 0.001). The combined L<sub>Het</sub> × L<sub>Nod</sub> scores of F0, F1, F2, and F3 were 2.96 ± 0.46, 5.01 ± 0.91, 7.30 ± 0.89, and 8.48 ± 1.34, respectively (<i>p</i> < 0.001). The AUROCs of L<sub>Het</sub>, L<sub>Nod</sub>, and L<sub>Het</sub> × L<sub>Nod</sub> for differentiating F1 vs. F2 and F2 vs. F3 were 0.845, 0.958, and 0.954; and 0.619, 0.689, and 0.761, respectively. The combination of L<sub>Het</sub> and L<sub>Nod</sub> scores derived from routine MR images allows better differential diagnosis of fibrosis subgroups in CLD. |
| first_indexed | 2024-03-10T12:19:08Z |
| format | Article |
| id | doaj.art-ef2d8145d6614ed7a8f6cda5f7185481 |
| institution | Directory Open Access Journal |
| issn | 2077-0383 |
| language | English |
| last_indexed | 2024-03-10T12:19:08Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Clinical Medicine |
| spelling | doaj.art-ef2d8145d6614ed7a8f6cda5f71854812023-11-21T15:38:41ZengMDPI AGJournal of Clinical Medicine2077-03832021-04-01108169710.3390/jcm10081697Assessment of Liver Fibrosis Stage Using Integrative Analysis of Hepatic Heterogeneity and Nodularity in Routine MRI with FIB-4 Index as Reference StandardTae-Hoon Kim0Chang-Won Jeong1Ji Eon Kim2Jin Woong Kim3Hoon Gil Jo4Youe Ree Kim5Young Hwan Lee6Kwon-Ha Yoon7Medical Convergence Research Center, Wonkwang University, Iksan 54538, KoreaMedical Convergence Research Center, Wonkwang University, Iksan 54538, KoreaMedical Convergence Research Center, Wonkwang University, Iksan 54538, KoreaDepartment of Radiology, Chosun University College of Medicine, Chosun University Hospital, Gwangju 61452, KoreaDepartment of Hepatology & Gastroenterology, Wonkwang University Hospital, Iksan 54538, KoreaDepartment of Radiology, Wonkwang University School of Medicine, Wonkwang University Hospital, Iksan 54538, KoreaDepartment of Radiology, Wonkwang University School of Medicine, Wonkwang University Hospital, Iksan 54538, KoreaDepartment of Radiology, Wonkwang University School of Medicine, Wonkwang University Hospital, Iksan 54538, KoreaImage-based quantitative methods for liver heterogeneity (L<sub>Het</sub>) and nodularity (L<sub>Nod</sub>) provide helpful information for evaluating liver fibrosis; however, their combinations are not fully understood in liver diseases. We developed an integrated software for assessing L<sub>Het</sub> and L<sub>Nod</sub> and compared L<sub>Het</sub> and L<sub>Nod</sub> according to fibrosis stages in chronic liver disease (CLD). Overall, 111 CLD patients and 16 subjects with suspected liver disease who underwent liver biopsy were enrolled. The procedures for quantifying L<sub>Het</sub> and L<sub>Nod</sub> were bias correction, contour detection, liver segmentation, and L<sub>Het</sub> and L<sub>Nod</sub> measurements. L<sub>Het</sub> and L<sub>Nod</sub> scores among fibrosis stages (F0–F3) were compared using ANOVA with Tukey’s test. Diagnostic accuracy was determined by calculating the area under the receiver operating characteristics (AUROC) curve. The mean L<sub>Het</sub> scores of F0, F1, F2, and F3 were 3.49 ± 0.34, 5.52 ± 0.88, 6.80 ± 0.97, and 7.56 ± 1.79, respectively (<i>p</i> < 0.001). The mean L<sub>Nod</sub> scores of F0, F1, F2, and F3 were 0.84 ± 0.06, 0.91 ± 0.04, 1.09 ± 0.08, and 1.15 ± 0.14, respectively (<i>p</i> < 0.001). The combined L<sub>Het</sub> × L<sub>Nod</sub> scores of F0, F1, F2, and F3 were 2.96 ± 0.46, 5.01 ± 0.91, 7.30 ± 0.89, and 8.48 ± 1.34, respectively (<i>p</i> < 0.001). The AUROCs of L<sub>Het</sub>, L<sub>Nod</sub>, and L<sub>Het</sub> × L<sub>Nod</sub> for differentiating F1 vs. F2 and F2 vs. F3 were 0.845, 0.958, and 0.954; and 0.619, 0.689, and 0.761, respectively. The combination of L<sub>Het</sub> and L<sub>Nod</sub> scores derived from routine MR images allows better differential diagnosis of fibrosis subgroups in CLD.https://www.mdpi.com/2077-0383/10/8/1697chronic liver disease (CLD)heterogeneitynodularityintegrative |
| spellingShingle | Tae-Hoon Kim Chang-Won Jeong Ji Eon Kim Jin Woong Kim Hoon Gil Jo Youe Ree Kim Young Hwan Lee Kwon-Ha Yoon Assessment of Liver Fibrosis Stage Using Integrative Analysis of Hepatic Heterogeneity and Nodularity in Routine MRI with FIB-4 Index as Reference Standard Journal of Clinical Medicine chronic liver disease (CLD) heterogeneity nodularity integrative |
| title | Assessment of Liver Fibrosis Stage Using Integrative Analysis of Hepatic Heterogeneity and Nodularity in Routine MRI with FIB-4 Index as Reference Standard |
| title_full | Assessment of Liver Fibrosis Stage Using Integrative Analysis of Hepatic Heterogeneity and Nodularity in Routine MRI with FIB-4 Index as Reference Standard |
| title_fullStr | Assessment of Liver Fibrosis Stage Using Integrative Analysis of Hepatic Heterogeneity and Nodularity in Routine MRI with FIB-4 Index as Reference Standard |
| title_full_unstemmed | Assessment of Liver Fibrosis Stage Using Integrative Analysis of Hepatic Heterogeneity and Nodularity in Routine MRI with FIB-4 Index as Reference Standard |
| title_short | Assessment of Liver Fibrosis Stage Using Integrative Analysis of Hepatic Heterogeneity and Nodularity in Routine MRI with FIB-4 Index as Reference Standard |
| title_sort | assessment of liver fibrosis stage using integrative analysis of hepatic heterogeneity and nodularity in routine mri with fib 4 index as reference standard |
| topic | chronic liver disease (CLD) heterogeneity nodularity integrative |
| url | https://www.mdpi.com/2077-0383/10/8/1697 |
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