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Abstract #2679

Radiomics Based on Magnetic Resonance Imaging in Differentiation of Hepatic micro-abscess from Hepatic micro-metastasis: A Multicenter Study

Jiahui Zhang1,2 and Jiawen Luo2
1Department of Radiology, Dalian Friendship Hospital, No. 8, 38 Square, Zhongshan District, Dalian 11, Dalian, China, 2Department of Radiology, the Second Hospital of Dalian Medical University, 467 Zhong Shan Road, China, Dalian, China

Synopsis

Keywords: Liver, Liver

Motivation: The clinical and imaging characteristics of hepatic micro-abscesses and hepatic micro-metastases may exhibit certain similarities.

Goal(s): To evaluate the feasibility of using magnetic resonance imaging (MRI)-based radiomics model to differentiate hepatic micro-abscess from hepatic micro-metastasis.

Approach: MRI scans using 1.5 or 3.0 T systems from various manufacturers and the uAI Research Portal (United Imaging Intelligence, China) were used for image acquisition and post-processing. Chi-square test, Binary logistic regression analysis, and Delong test were used for statistical analysis.

Results: Various machine learning models utilizing semantic features demonstrate high efficacy in distinguishing hepatic micro-abscesses from hepatic micro-metastases.

Impact: Our findings regarding Differentiation of Hepatic micro-abscess from Hepatic micro-metastasis is essential in selecting the best treatment option and enhancing prognosis.

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Keywords