Differentiating Hepatic Perivascular Epithelioid Cell Tumor from Hepatocellular Carcinoma without High-Risk Factors using Contrast-Enhanced Ultrasound
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Differentiating Hepatic Perivascular Epithelioid Cell Tumor from Hepatocellular Carcinoma without High-Risk Factors using Contrast-Enhanced Ultrasound

06/01/2026 Compuscript Ltd

https://www.scienceopen.com/hosted-document?doi=10.15212/bioi-2025-0211
Announcing a new article publication for BIO Integration journal. Hepatic perivascular epithelioid cell tumor (PEComa) is a rare tumor with malignant potential that is frequently misdiagnosed as hepatocellular carcinoma (HCC), despite requiring distinct treatment approaches. This study retrospectively investigated the imaging characteristics of PEComa and HCC without high-risk factors using conventional ultrasound (CUS) and contrast-enhanced ultrasound (CEUS) to improve preoperative diagnostic accuracy.
Sixteen patients with pathologically confirmed PEComa and 31 patients with HCC and no known high-risk factors underwent preoperative ultrasound examinations. Imaging features from CUS and CEUS were systematically reviewed and compared. Independent predictive factors of PEComa were identified using multiple logistic regression analysis and diagnostic performance was assessed through receiver operating characteristic curve analysis. Bootstrap validation and optimism correction were applied to assess the stability and generalization performance.
Of the 16 patients in the PEComa group, 11 underwent surgical resection and biopsies were performed in 5. PEComa exhibited distinct CUS imaging features, including a hyperechoic appearance, clear margins, and larger blood vessels around lesions. PEComa was characterized by the absence of necrosis, hyper- or iso-enhancement in the portal phase, isoenhancement in the delayed phase, and prolonged washout time (>180 s) on CEUS. Logistic regression analysis identified hyperechoic appearance, larger blood vessels around lesions, absence of necrosis, and prolonged washout time as independent predictors of PEComa. Integrating CUS and CEUS significantly improved diagnostic accuracy, achieving a sensitivity of 81.25%, a specificity of 96.77%, and an area under the receiver operating characteristic curve of 0.9395. Bootstrap validation and optimism correction confirmed the stability and generalization performance of the combined method.
This preliminary study demonstrated that the integration of CUS and CEUS provides high specificity and accuracy in distinguishing hepatic PEComa from HCC without high-risk factors. The identified imaging features should be considered as initial diagnostic indicators, facilitating accurate preoperative differentiation and supporting appropriate clinical management.
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BIO Integration is fully open access journal which will allow for the rapid dissemination of multidisciplinary views driving the progress of modern medicine.

As part of its mandate to help bring interesting work and knowledge from around the world to a wider audience, BIOI will actively support authors through open access publishing and through waiving author fees in its first years. Also, publication support for authors whose first language is not English will be offered in areas such as manuscript development, English language editing and artwork assistance.

Please visit www.bio-integration.org to learn more about the journal.
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ISSN 2712-0074
eISSN 2712-0082

Xiang Fei, Nan Li and Bo Jiang et al. Differentiating Hepatic Perivascular Epithelioid Cell Tumor from Hepatocellular Carcinoma without High-Risk Factors using Contrast-Enhanced Ultrasound. BIOI. 2026. Vol. 7(1). DOI: 10.15212/bioi-2025-0211
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Xiang Fei, Nan Li and Bo Jiang et al. Differentiating Hepatic Perivascular Epithelioid Cell Tumor from Hepatocellular Carcinoma without High-Risk Factors using Contrast-Enhanced Ultrasound. BIOI. 2026. Vol. 7(1). DOI: 10.15212/bioi-2025-0211
06/01/2026 Compuscript Ltd
Regions: Europe, Ireland
Keywords: Health, Medical

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