Combining hepatic surface nodularity and serum tests better predicts hepatic fibrosis stages in chronic liver disease.
Purpose: Hepatic surface nodularity quantified on CT images has shown promising results in staging hepatic fibrosis in chronic hepatitis C. The aim of this study was to evaluate hepatic surface nodularity, serum fibrosis indices, and a linear combination of them for staging fibrosis in chronic liver...
| Publicado en: | Abdominal Radiology Vol. 46; no. 9; pp. 4189 - 4200 |
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| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Sep2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=151776230&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 151776230 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 2366004X JT14 jtl: Abdominal Radiology issn: 2366004X maglogo: N pubinfo: dt: Sep2021 vid: 46 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 151776230 150264727 10.1007/s00261-021-03113-9 151776230 ppf: 4189 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Combining hepatic surface nodularity and serum tests better predicts hepatic fibrosis stages in chronic liver disease. aug: au: Cho, Hyo Jung Choi, Jaewon Kim, Bohyun Ko, JeongGil Choi, Joon-Il Huh, Jimi Lee, Jei Hee Kim, Jai Keun affil: Department of Gastroenterology, Ajou University Hospital, Ajou University School of Medicine, Suwon, Republic of Korea sug: ab: Purpose: Hepatic surface nodularity quantified on CT images has shown promising results in staging hepatic fibrosis in chronic hepatitis C. The aim of this study was to evaluate hepatic surface nodularity, serum fibrosis indices, and a linear combination of them for staging fibrosis in chronic liver disease, mainly chronic hepatitis B. Methods: We developed a semiautomated software quantifying hepatic surface nodularity on CT images. Hepatic surface nodularity and serum fibrosis indices were assessed in the development group of 125 patients to generate 3 linear models combining hepatic surface nodularity with the aspartate aminotransferase to platelet ratio index, fibrosis-4 index, or platelet count in reference to the METAVIR scoring system. The models were validated in 183 patients. Results: Hepatic surface nodularity and serum fibrosis indices all significantly correlated with fibrosis stages. For binary classifications into cirrhosis (F4), advanced fibrosis (≥ F3), and significant fibrosis (≥ F2), hepatic surface nodularity was significantly different across categories. The areas under the curve (AUCs) of the best model were 0.901, 0.872, and 0.794 for cirrhosis, advanced fibrosis, and significant fibrosis, respectively, higher than serum fibrosis indices alone (0.797–0.802, 0.799–0.818, and 0.761–0.773). In the validation group, the same model likewise showed higher AUCs (0.872, 0.831, and 0.850) compared to serum fibrosis indices (0.722–0.776, 0.692–0.768, and 0.695–0.769; p < 0.001 for F4). Conclusion: Hepatic surface nodularity combined with serum blood test could be a practical method to predict cirrhosis, advanced fibrosis, and significant fibrosis in chronic liver disease patients, providing higher accuracy than using serum fibrosis indices alone. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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