Evaluation of combined hepatocellular-cholangiocarcinoma using CEUS LI-RADS: correlation with pathological characteristics.
Objective: To explore the factors that influence the contrast-enhanced ultrasound (CEUS) Liver Imaging Reporting and Data System (LI-RADS) classification of combined hepatocellular-cholangiocarcinoma (cHCC-ICC). Methods: Between September 2014 to July 2020, the CEUS features of 58 patients with path...
| Publicado en: | Abdominal Radiology Vol. 50; no. 2; pp. 646 - 656 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Feb2025
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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=182828935&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 182828935 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 2366004X JT14 jtl: Abdominal Radiology issn: 2366004X maglogo: N pubinfo: dt: Feb2025 vid: 50 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 182828935 179017473 10.1007/s00261-024-04519-x 182828935 ppf: 646 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Evaluation of combined hepatocellular-cholangiocarcinoma using CEUS LI-RADS: correlation with pathological characteristics. aug: au: Bao, Jingwen Nie, Zehua Wang, Quanwen Chen, Yanling Wang, Kun Liu, Xinjiang affil: https://ror.org/02axfzt86 Hexi University, Zhangye, China sug: ab: Objective: To explore the factors that influence the contrast-enhanced ultrasound (CEUS) Liver Imaging Reporting and Data System (LI-RADS) classification of combined hepatocellular-cholangiocarcinoma (cHCC-ICC). Methods: Between September 2014 to July 2020, the CEUS features of 58 patients with pathologically confirmed cHCC-ICC were retrospectively evaluated and assigned according to the CEUS LI-RADS (version 2017). The pathological characteristics of nodules categorizing as different CEUS LI-RADS categories were compared. Multivariate logistic regression analysis was conducted to explore potential factors that may influence the CEUS LI-RADS classification of cHCC-ICC. Results: According to CEUS LI-RADS, 32.8% (19/58), 63.8% (37/58), and 3.4% (2/58) were categorized as LR-5, LR-M, and LR-TIV, respectively. There was significant difference between the LR-M and LR-5 groups with regard to the pathological grade, nodule size, and HCC/ICC-component ratio of cHCC-ICC. Multivariate logistic regression analysis identified tumor size and the relative proportions of hepatocellular carcinomas (HCC) and intrahepatic cholangiocarcinomas (ICC) components as the independent influencing factors. Conclusion: Tumor size and the relative proportion of HCC and ICC components within the nodule had a significant impact on the CEUS LI-RADS classification of cHCC-ICC. Key points: Tumor size and the relative proportions of HCC and ICC components were the independent influencing factors for the CEUS LI-RADS classification of cHCC-ICC. The HCC/ICC-component ratio acted on the CEUS LI-RADS classification mainly through influencing the enhanced pattern of nodules. Tumor size mainly had an impact on the enhanced pattern and washout features of cHCC-ICCs, thus leading to different CEUS LI-RADS classification. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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