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Reproducibility of transient elastography in the evaluation of liver fibrosis in patients with chronic liver disease
Open accessAbstract
Objective: Transient elastography (TE) is gaining popularity as a non-invasive method for predicting liver fibrosis, but intraobserver and interobserver agreement and factors influencing TE reproducibility have not been adequately assessed. This study investigated these aspects. Setting: Tertiary referral liver unit. Patients: Over a 4-month period, 200 patients with chronic liver disease (CLD) with varying aetiology consecutively underwent TE and liver biopsy. Interventions: TE was performed twice by two different operators either concomitantly or within 3 days of the bioptic procedure (METAVIR classification). Main outcome measures: Intraobserver and interobserver agreement were analysed using the intraclass correlation coefficient (ICC) and correlated with different patient-related and liver disease-related covariates. Results: 800 TE examinations were performed, with an indeterminate result rate of 2.4%. The overall interobserver agreement ICC was 0.98 (95% CI 0.977 to 0.987). Increased body mass index (>25 kg/m 2 ), steatosis, and low staging grades (fibrosis (F) stage <2) were significantly associated with reduced ICC (p<0.05). Intraobserver agreement ICC was 0.98 for both raters. Using receiver operating characteristic curves, three diagnostic TE thresholds were identified: >7.9 kPa for F⩾2, >10.3 for F⩾3 and >11.9 for F = 4. TE values assessed by the two raters fell within the same cut-off of fibrosis in 88% of the cases for F⩾2, in 92% for F⩾3 and 91% for F = 4. Conclusions: TE is a highly reproducible and user-friendly technique for assessing liver fibrosis in patients with CLD. However, because TE reproducibility is significantly reduced (p<0.05) in patients with steatosis, increased BMI and lower degrees of hepatic fibrosis, caution is warranted in the clinical use of TE as a surrogate for liver biopsy.
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STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965
Intraclass correlations: Uses in assessing rater reliability.
Shrout, P. E., & Fleiss, J. L. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.2.420 · Cited by 24,532
Statistical methods for assessing agreement between two methods of clinical measurement
Bland, J. M., & Altman, D. G. (2010) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2009.10.001 · Cited by 5,220
Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative
Bossuyt, P. M., Reitsma, J. B., Bruns, D. E., Gatsonis, C. A., Glasziou, P. P., Irwig, L. M., Lijmer, J. G., Moher, D., Rennie, D., & de Vet, H. C. W. (2003) · BMJ · doi:10.1136/bmj.326.7379.41 · Cited by 3,215
Towards Complete and Accurate Reporting of Studies of Diagnostic Accuracy: The STARD Initiative
Bossuyt, P. M., Reitsma, J. B., Bruns, D. E., Gatsonis, C. A., Glasziou, P. P., Irwig, L. M., Lijmer, J. G., Moher, D., Rennie, D., & de Vet, H. C. W. (2003) · Radiology · doi:10.1148/radiol.2261021292 · Cited by 3,215
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Wong, V. W.-S., Vergniol, J., Wong, G. L.-H., Foucher, J., Chan, A. W.-H., Chermak, F., Choi, P. C.-L., Merrouche, W., Chu, S. H.-T., Pesque, S., et al. (2012) · American Journal of Gastroenterology · doi:10.1038/ajg.2012.331 · Cited by 345
Corpechot, C., Gaouar, F., El Naggar, A., Kemgang, A., Wendum, D., Poupon, R., Carrat, F., & Chazouillères, O. (2014) · Gastroenterology · doi:10.1053/j.gastro.2013.12.030 · Cited by 300
Mikolasevic, I., Orlic, L., Franjic, N., Hauser, G., Stimac, D., & Milic, S. (2016) · World Journal of Gastroenterology · doi:10.3748/wjg.v22.i32.7236 · Cited by 273
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Nascimbeni, F., Lebray, P., Fedchuk, L., Oliveira, C. P., Alvares-da-Silva, M. R., Varault, A., Ingiliz, P., Ngo, Y., de Torres, M., Munteanu, M., et al. (2015) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2014.07.037 · Cited by 82
Review article: the reversibility of cirrhosis
Sohrabpour, A. A., Mohamadnejad, M., & Malekzadeh, R. (2012) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.12044 · Cited by 80
Chow, J. C., Wong, G. L., Chan, A. W., Shu, S. S., Chan, C. K., Leung, J. K., Choi, P. C., Chim, A. M., Chan, H. L., & Wong, V. W. (2019) · Journal of Gastroenterology and Hepatology · doi:10.1111/jgh.14311 · Cited by 46
Rigamonti, C., Cittone, M. G., Manfredi, G. F., De Benedittis, C., Paggi, N., Baorda, F., Di Benedetto, D., Minisini, R., & Pirisi, M. (2024) · JHEP Reports · doi:10.1016/j.jhepr.2023.100952 · Cited by 15
Self-citation
Metadata
- Authors
- Fraquelli, M., Rigamonti, C., Casazza, G., Conte, D., Donato, M. F., Ronchi, G., & Colombo, M.
- Venue
- Gut
- Publisher
- BMJ
- Published
- 2007-01-25
- Volume
- 56
- Issue
- 7
- Pages
- 968-973
- ISSN
- 0017-5749 (ISSN-L)
- 1468-3288
- OpenAlex
- W2111335059
- Cited by
- 854
- References
- 5
- FWCI
- 40.62
- Type
- journal article
- Language
- en
- Open access
- bronze
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