JOURNAL ARTICLE

Texture Analysis of Diffusion Kurtosis Imaging for Predicting Early Recurrence of Hepatocellular Carcinoma After Hepatectomy

Yue WangYing ZhaoAilian Liu

Year: 2024 Journal:   Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition

Abstract

The global incidence and mortality of hepatocellular carcinoma (HCC) are high [1]. Although radical resection of HCC is the most effective treatment, the postoperative recurrence rate is high. Diffusion kurtosis imaging (DKI) is based on the non-Gaussian diffusion motion of water molecules, which can quantitatively reflect the characteristics of lesions from the perspective of diffusion and heterogeneity[2]. Texture analysis provides information about tissue complexity and heterogeneity based on mathematical methods. This study showed that DKI-based entire-tumor texture analysis could assist in prediction of the early recurrence of HCC patients after hepatectomy, which was beneficial to improve the prognosis.

Keywords:
Kurtosis Hepatocellular carcinoma Hepatectomy Texture (cosmology) Medicine Radiology Resection Diffusion MRI Oncology Internal medicine Computer science Surgery Magnetic resonance imaging Artificial intelligence Mathematics Statistics Image (mathematics)

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Topics

MRI in cancer diagnosis
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging
Radiomics and Machine Learning in Medical Imaging
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging
Mathematical Biology Tumor Growth
Physical Sciences →  Mathematics →  Modeling and Simulation

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