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Comparison contrast-enhanced CT with contrast-enhanced US in diagnosing combined hepatocellular-cholangiocarcinoma: a propensity score-matched study.
Yang, Jie; Zhang, Yun; Bao, Wu-Yong-Ga; Chen, Yi-di; Jiang, Hanyu; Huang, Jia-Yan; Zeng, Ke-Yu; Song, Bin; Huang, Zi-Xing; Lu, Qiang.
Afiliación
  • Yang J; Department of Medical Ultrasound, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
  • Zhang Y; Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
  • Bao WY; Department of Medical Ultrasound, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
  • Chen YD; Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
  • Jiang H; Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
  • Huang JY; Department of Medical Ultrasound, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
  • Zeng KY; Department of Medical Ultrasound, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
  • Song B; Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
  • Huang ZX; Department of Radiology, Sanya People's Hospital, Hainan, China.
  • Lu Q; Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China. zixinghuang@hotmail.com.
Insights Imaging ; 15(1): 44, 2024 Feb 14.
Article en En | MEDLINE | ID: mdl-38353807
ABSTRACT

OBJECTIVES:

To develop and compare noninvasive models for differentiating between combined hepatocellular-cholangiocarcinoma (cHCC-CCA) and HCC based on serum tumor markers, contrast-enhanced ultrasound (CEUS), and computed tomography (CECT).

METHODS:

From January 2010 to December 2021, patients with pathologically confirmed cHCC-CCA or HCC who underwent both preoperative CEUS and CECT were retrospectively enrolled. Propensity scores were calculated to match cHCC-CCA and HCC patients with a near-neighbor ratio of 12. Two predicted models, a CEUS-predominant (CEUS features plus tumor markers) and a CECT-predominant model (CECT features plus tumor markers), were constructed using logistic regression analyses. Model performance was evaluated by the area under the curve (AUC), sensitivity, specificity, and accuracy.

RESULTS:

A total of 135 patients (mean age, 51.3 years ± 10.9; 122 men) with 135 tumors (45 cHCC-CCA and 90 HCC) were included. By logistic regression analysis, unclear boundary in the intratumoral nonenhanced area, partial washout on CEUS, CA 19-9 > 100 U/mL, lack of cirrhosis, incomplete tumor capsule, and nonrim arterial phase hyperenhancement (APHE) volume < 50% on CECT were independent factors for a diagnosis of cHCC-CCA. The CECT-predominant model showed almost perfect sensitivity for cHCC-CCA, unlike the CEUS-predominant model (93.3% vs. 55.6%, p < 0.001). The CEUS-predominant model showed higher diagnostic specificity than the CECT-predominant model (80.0% vs. 63.3%; p = 0.020), especially in the ≤ 5 cm subgroup (92.0% vs. 70.0%; p = 0.013).

CONCLUSIONS:

The CECT-predominant model provides higher diagnostic sensitivity than the CEUS-predominant model for CHCC-CCA. Combining CECT features with serum CA 19-9 > 100 U/mL shows excellent sensitivity. CRITICAL RELEVANCE STATEMENT Combining lack of cirrhosis, incomplete tumor capsule, and nonrim arterial phase hyperenhancement (APHE) volume < 50% on CECT with serum CA 19-9 > 100 U/mL shows excellent sensitivity in differentiating cHCC-CCA from HCC. KEY POINTS 1. Accurate differentiation between cHCC-CCA and HCC is essential for treatment decisions. 2. The CECT-predominant model provides higher accuracy than the CEUS-predominant model for CHCC-CCA. 3. Combining CECT features and CA 19-9 levels shows a sensitivity of 93.3% in diagnosing cHCC-CCA.
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Insights Imaging Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Insights Imaging Año: 2024 Tipo del documento: Article País de afiliación: China