The performance of acoustic radiation force impulse imaging in predicting liver fibrosis in chronic liver diseases
Sonography-based noninvasive liver fibrosis assessment is promising in the prediction of treatment efficacy and prognosis in chronic liver disease (CLD) patients. Acoustic radiation force impulse imaging (ARFI) is a newly-developed transient elastography (TE) method integrated into a conventional ul...
| Main Authors: | , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-07-01
|
| Series: | Kaohsiung Journal of Medical Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1607551X16300742 |
| _version_ | 1818440904630861824 |
|---|---|
| author | Yi-Hung Lin Ming-Lun Yeh Ching-I Huang Jeng-Fu Yang Po-Cheng Liang Chung-Feng Huang Chia-Yen Dai Zu-Yau Lin Shinn-Cherng Chen Jee-Fu Huang Ming-Lung Yu Wan-Long Chuang |
| author_facet | Yi-Hung Lin Ming-Lun Yeh Ching-I Huang Jeng-Fu Yang Po-Cheng Liang Chung-Feng Huang Chia-Yen Dai Zu-Yau Lin Shinn-Cherng Chen Jee-Fu Huang Ming-Lung Yu Wan-Long Chuang |
| author_sort | Yi-Hung Lin |
| collection | DOAJ |
| description | Sonography-based noninvasive liver fibrosis assessment is promising in the prediction of treatment efficacy and prognosis in chronic liver disease (CLD) patients. Acoustic radiation force impulse imaging (ARFI) is a newly-developed transient elastography (TE) method integrated into a conventional ultrasound machine. The study aimed to assess the performance of ARFI imaging in the diagnosis of liver fibrosis in Taiwanese CLD patients. We also aimed to search for the optimal cut-off values in different fibrosis stages. A total of 60 CLD patients (40 males; mean age, 51.8±11 years) were consecutively included. They received standard ARFI measurement within 2 weeks at the time of liver biopsy. There were eight patients with Metavir fibrosis stage 0 (F0), 16 patients with F1, 20 patients with F2, eight patients with F3, and eight patients with F4, respectively. The mean values among patient with F0, F1, F2, F3, and F4 were 1.17±0.13, 1.30±0.17, 1.31±0.24, 2.01±0.45, and 2.69±0.91, respectively (p<0.001). The optimal cut-off ARFI value for significant fibrosis (F≥2) was 1.53 with the accuracy of 0.733, while it was 1.66 for advanced fibrosis (F≥3) with the accuracy of 0.957. Our study demonstrated that ARFI imaging is competent for fibrosis diagnosis, particularly in CLD patients with advanced fibrosis. |
| first_indexed | 2024-12-14T18:19:46Z |
| format | Article |
| id | doaj.art-a2288d956f874c059e317e1f38470fef |
| institution | Directory Open Access Journal |
| issn | 1607-551X |
| language | English |
| last_indexed | 2024-12-14T18:19:46Z |
| publishDate | 2016-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | Kaohsiung Journal of Medical Sciences |
| spelling | doaj.art-a2288d956f874c059e317e1f38470fef2022-12-21T22:52:06ZengWileyKaohsiung Journal of Medical Sciences1607-551X2016-07-0132736236610.1016/j.kjms.2016.05.008The performance of acoustic radiation force impulse imaging in predicting liver fibrosis in chronic liver diseasesYi-Hung Lin0Ming-Lun Yeh1Ching-I Huang2Jeng-Fu Yang3Po-Cheng Liang4Chung-Feng Huang5Chia-Yen Dai6Zu-Yau Lin7Shinn-Cherng Chen8Jee-Fu Huang9Ming-Lung Yu10Wan-Long Chuang11Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, TaiwanHepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, TaiwanHepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, TaiwanHepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, TaiwanDepartment of Internal Medicine, Kaohsiung Municipal Hsiao-Kang Hospital, Kaohsiung Medical University, Kaohsiung, TaiwanHepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, TaiwanHepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, TaiwanHepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, TaiwanHepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, TaiwanHepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, TaiwanHepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, TaiwanHepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, TaiwanSonography-based noninvasive liver fibrosis assessment is promising in the prediction of treatment efficacy and prognosis in chronic liver disease (CLD) patients. Acoustic radiation force impulse imaging (ARFI) is a newly-developed transient elastography (TE) method integrated into a conventional ultrasound machine. The study aimed to assess the performance of ARFI imaging in the diagnosis of liver fibrosis in Taiwanese CLD patients. We also aimed to search for the optimal cut-off values in different fibrosis stages. A total of 60 CLD patients (40 males; mean age, 51.8±11 years) were consecutively included. They received standard ARFI measurement within 2 weeks at the time of liver biopsy. There were eight patients with Metavir fibrosis stage 0 (F0), 16 patients with F1, 20 patients with F2, eight patients with F3, and eight patients with F4, respectively. The mean values among patient with F0, F1, F2, F3, and F4 were 1.17±0.13, 1.30±0.17, 1.31±0.24, 2.01±0.45, and 2.69±0.91, respectively (p<0.001). The optimal cut-off ARFI value for significant fibrosis (F≥2) was 1.53 with the accuracy of 0.733, while it was 1.66 for advanced fibrosis (F≥3) with the accuracy of 0.957. Our study demonstrated that ARFI imaging is competent for fibrosis diagnosis, particularly in CLD patients with advanced fibrosis.http://www.sciencedirect.com/science/article/pii/S1607551X16300742Acoustic radiation force impulse imagingChronic liver diseaseLiver fibrosis |
| spellingShingle | Yi-Hung Lin Ming-Lun Yeh Ching-I Huang Jeng-Fu Yang Po-Cheng Liang Chung-Feng Huang Chia-Yen Dai Zu-Yau Lin Shinn-Cherng Chen Jee-Fu Huang Ming-Lung Yu Wan-Long Chuang The performance of acoustic radiation force impulse imaging in predicting liver fibrosis in chronic liver diseases Kaohsiung Journal of Medical Sciences Acoustic radiation force impulse imaging Chronic liver disease Liver fibrosis |
| title | The performance of acoustic radiation force impulse imaging in predicting liver fibrosis in chronic liver diseases |
| title_full | The performance of acoustic radiation force impulse imaging in predicting liver fibrosis in chronic liver diseases |
| title_fullStr | The performance of acoustic radiation force impulse imaging in predicting liver fibrosis in chronic liver diseases |
| title_full_unstemmed | The performance of acoustic radiation force impulse imaging in predicting liver fibrosis in chronic liver diseases |
| title_short | The performance of acoustic radiation force impulse imaging in predicting liver fibrosis in chronic liver diseases |
| title_sort | performance of acoustic radiation force impulse imaging in predicting liver fibrosis in chronic liver diseases |
| topic | Acoustic radiation force impulse imaging Chronic liver disease Liver fibrosis |
| url | http://www.sciencedirect.com/science/article/pii/S1607551X16300742 |
| work_keys_str_mv | AT yihunglin theperformanceofacousticradiationforceimpulseimaginginpredictingliverfibrosisinchronicliverdiseases AT minglunyeh theperformanceofacousticradiationforceimpulseimaginginpredictingliverfibrosisinchronicliverdiseases AT chingihuang theperformanceofacousticradiationforceimpulseimaginginpredictingliverfibrosisinchronicliverdiseases AT jengfuyang theperformanceofacousticradiationforceimpulseimaginginpredictingliverfibrosisinchronicliverdiseases AT pochengliang theperformanceofacousticradiationforceimpulseimaginginpredictingliverfibrosisinchronicliverdiseases AT chungfenghuang theperformanceofacousticradiationforceimpulseimaginginpredictingliverfibrosisinchronicliverdiseases AT chiayendai theperformanceofacousticradiationforceimpulseimaginginpredictingliverfibrosisinchronicliverdiseases AT zuyaulin theperformanceofacousticradiationforceimpulseimaginginpredictingliverfibrosisinchronicliverdiseases AT shinncherngchen theperformanceofacousticradiationforceimpulseimaginginpredictingliverfibrosisinchronicliverdiseases AT jeefuhuang theperformanceofacousticradiationforceimpulseimaginginpredictingliverfibrosisinchronicliverdiseases AT minglungyu theperformanceofacousticradiationforceimpulseimaginginpredictingliverfibrosisinchronicliverdiseases AT wanlongchuang theperformanceofacousticradiationforceimpulseimaginginpredictingliverfibrosisinchronicliverdiseases AT yihunglin performanceofacousticradiationforceimpulseimaginginpredictingliverfibrosisinchronicliverdiseases AT minglunyeh performanceofacousticradiationforceimpulseimaginginpredictingliverfibrosisinchronicliverdiseases AT chingihuang performanceofacousticradiationforceimpulseimaginginpredictingliverfibrosisinchronicliverdiseases AT jengfuyang performanceofacousticradiationforceimpulseimaginginpredictingliverfibrosisinchronicliverdiseases AT pochengliang performanceofacousticradiationforceimpulseimaginginpredictingliverfibrosisinchronicliverdiseases AT chungfenghuang performanceofacousticradiationforceimpulseimaginginpredictingliverfibrosisinchronicliverdiseases AT chiayendai performanceofacousticradiationforceimpulseimaginginpredictingliverfibrosisinchronicliverdiseases AT zuyaulin performanceofacousticradiationforceimpulseimaginginpredictingliverfibrosisinchronicliverdiseases AT shinncherngchen performanceofacousticradiationforceimpulseimaginginpredictingliverfibrosisinchronicliverdiseases AT jeefuhuang performanceofacousticradiationforceimpulseimaginginpredictingliverfibrosisinchronicliverdiseases AT minglungyu performanceofacousticradiationforceimpulseimaginginpredictingliverfibrosisinchronicliverdiseases AT wanlongchuang performanceofacousticradiationforceimpulseimaginginpredictingliverfibrosisinchronicliverdiseases |