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216 results on '"Lin, Manxia"'

1. Methodological Explainability Evaluation of an Interpretable Deep Learning Model for Post-Hepatectomy Liver Failure Prediction Incorporating Counterfactual Explanations and Layerwise Relevance Propagation: A Prospective In Silico Trial

Author

Zhong, Xian, Salahuddin, Zohaib, Chen, Yi, Woodruff, Henry C, Long, Haiyi, Peng, Jianyun, Udawatte, Nuwan, Casale, Roberto, Mokhtari, Ayoub, Zhang, Xiaoer, Huang, Jiayao, Wu, Qingyu, Tan, Li, Chen, Lili, Li, Dongming, Xie, Xiaoyan, Lin, Manxia, and Lambin, Philippe

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Artificial intelligence (AI)-based decision support systems have demonstrated value in predicting post-hepatectomy liver failure (PHLF) in hepatocellular carcinoma (HCC). However, they often lack transparency, and the impact of model explanations on clinicians' decisions has not been thoroughly evaluated. Building on prior research, we developed a variational autoencoder-multilayer perceptron (VAE-MLP) model for preoperative PHLF prediction. This model integrated counterfactuals and layerwise relevance propagation (LRP) to provide insights into its decision-making mechanism. Additionally, we proposed a methodological framework for evaluating the explainability of AI systems. This framework includes qualitative and quantitative assessments of explanations against recognized biomarkers, usability evaluations, and an in silico clinical trial. Our evaluations demonstrated that the model's explanation correlated with established biomarkers and exhibited high usability at both the case and system levels. Furthermore, results from the three-track in silico clinical trial showed that clinicians' prediction accuracy and confidence increased when AI explanations were provided.

Published
2024

37. The role of neoadjuvant conventional transarterial chemoembolization with radiofrequency ablation in the treatment of recurrent hepatocellular carcinoma after initial hepatectomy with microvascular invasion

Author

Peng, Zhenwei, primary, Wu, Xiaoxue, additional, Li, Jiaping, additional, Pang, Hui, additional, Zhang, Yaojun, additional, Lin, Manxia, additional, Wang, Zaiguo, additional, Xiao, Han, additional, Li, Bin, additional, Chen, Minshan, additional, Feng, Shiting, additional, Kuang, Ming, additional, and Chen, Shuling, additional

Published
2022
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47. Ultrasound-Triggered Nanodroplets for Targeted Co-Delivery of Sorafenib/Doxorubicin for Hepatocellular Carcinoma Therapy

Author

Lin Manxia, Xu Ming, Leng Bai, Cao Zhong, Zhang Chunyang, Tan Yang, Xie Xiaoyan, Song Xiangzi, Wang Wei, Liu Jie, Wu Dan, Huang Guangliang, and Guo Huanling

Subjects
Sorafenib, Carcinoma, Hepatocellular, Combination therapy, medicine.medical_treatment, 0206 medical engineering, Biomedical Engineering, Pharmaceutical Science, Medicine (miscellaneous), Bioengineering, 02 engineering and technology, Drug Delivery Systems, Pharmacokinetics, Antineoplastic Combined Chemotherapy Protocols, medicine, Humans, General Materials Science, Doxorubicin, Therapeutic ultrasound, business.industry, Liver Neoplasms, Therapeutic effect, 021001 nanoscience & nanotechnology, medicine.disease, 020601 biomedical engineering, Hepatocellular carcinoma, Drug delivery, Cancer research, 0210 nano-technology, business, medicine.drug
Abstract

The clinical treatment of hepatocellular carcinoma has been hindered due to the drug resistance and heterogeneity of tumor cells. A new therapy strategy combined chemo drugs and molecular-targeted drugs is considered to be promising for conquering these challenges. However, the different pharmacokinetic profiles, hydrophobicity and systemic toxicity of these drugs may still cause serious challenges to the clinical applications of this combination therapy. In this study, smart sorafenib (SF) and doxorubicin (DOX)-loaded nanodroplets (SF/DOX-NDs) were fabricated to solve the above issues. The liquid-to-gas phase transition of SF/DOX-NDs could function as a cavitation nucleus to boost drug release and increase cellular uptake after exposure to therapeutic ultrasound (TUS) irradiation. Additionally, this strategy has a therapeutic effect to induce apoptosis and inhibit the proliferation, migration, and invasion of hepatoma cells. Furthermore, the intense cavitation of SF/DOX-NDs at the tumor site could disrupt microvessels, which is beneficial for tissue-penetrating drug delivery inside tumors. Consequently, tumor angiogenesis was reduced, and tumor growth was remarkably inhibited by SF/DOX-NDs. These results indicated that combination therapy using SF/DOX-NDs may offer a promising approach to achieve effective HCC therapy with low side effects.

Published
2019

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