Revisiting artificial intelligence diagnosis of hepatocellular carcinoma with DIKWH framework

Shen, Xiao-Min; Wu, Jinhua; Su, Junwei; Yang, Zhenyu; Huang, Wei; Zhang, Li; Jiang, Yiheng; Yu, Wei; Zhao, Li

doi:10.3389/fgene.2023.1004481

Cited by 3 publications

(1 citation statement)

References 74 publications

(60 reference statements)

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“…The detection rate of liver CEUS in detecting early hepatocellular carcinoma has been questioned, and it is still necessary to combine computed tomography (CT), magnetic resonance imaging (MRI), and some biomarkers to improve the detection rate ( 12 ). However, some researchers have found that MRI has higher resolution and contrast enhancement function compared to ultrasound and CT, and it is recommended to be the preferred imaging method for hepatocellular carcinoma diagnosis ( 13 ). Therefore, in order to verify the application value of CEUS in early hepatocellular carcinoma diagnosis.…”

Section: Introductionmentioning

confidence: 99%

Diagnostic value of liver contrast-enhanced ultrasound in early hepatocellular carcinoma: a systematic review and meta-analysis

Zhang¹,

Ma²,

Luo³

2023

J Gastrointest Oncol

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Background: Hepatocellular carcinoma is the sixth most common cancer in the world, and its incidence rate will continue to increase. Contrast-enhanced ultrasound (CEUS) is feasible as a rapid examination for early hepatocellular carcinoma diagnosis. However, considering the possible causes of false positives caused by ultrasound, its diagnostic value is still controversial. Therefore, the study conducted a meta-analysis to evaluate the application value of CEUS in the early diagnosis of hepatocellular carcinoma.Methods: The PubMed, Cochrane Library, Embase, Ovid Technologies (OVID), China National Knowledge Infrastructure (CNKI), Chongqing VIP Information (VIP), and Wanfang databases were searched to retrieve articles on the use of CEUS for the early diagnosis of hepatocellular carcinoma. The literature quality assessment was performed using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) quality assessment tool. The meta-analysis was performed using STATA 17.0 to fit the bivariate mixed effects model, calculated sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and corresponding 95% CI, summary receiver operating characteristic curves (SROC), area under the curve (AUC), and 95% confidence interval (CI). The publication bias of the included literature was evaluated using the DEEK funnel plot.Results: Ultimately, 9 articles, comprising 1,434 patients, were included in the meta-analysis. The heterogeneity test found that I 2 >50%, using a random effects model. The results of the meta-analysis showed that the CEUS had a combined sensitivity of 0.92 (95% CI: 0.86-0.95), a combined specificity of 0.93 (95% CI: 0.56-0.99), a combined PLR of 13.47 (95% CI: 1.51-120.46), a combined NLR of 0.09 (95% CI: 0.05-0.14), a combined DOR of 154.16 (95% CI: 15.93-1,492.02), a diagnostic score of 5.04 (95% CI: 2.77-7.31), and a combined AUC of 0.95 (95% CI: 0.93-0.97). The correlation coefficient of the threshold-effect analysis was 0.13 (P>0.05). The results of the regression analysis showed that the country of publication (P=0.14) and the size of the lesion nodules (P=0.46) were not sources of heterogeneity.Conclusions: Liver CEUS has an advantage in the early diagnosis of hepatocellular carcinoma, with high sensitivity and specificity, and has clinical application value.

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Section: Introductionmentioning

confidence: 99%

Diagnostic value of liver contrast-enhanced ultrasound in early hepatocellular carcinoma: a systematic review and meta-analysis

Zhang¹,

Ma²,

Luo³

2023

J Gastrointest Oncol

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Hepatocellular carcinoma imaging: Exploring traditional techniques and emerging innovations for early intervention

Vengateswaran,

Habeeb,

You

et al. 2024

Medicine in Novel Technology and Devices

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Latest advances in hepatocellular carcinoma management and prevention through advanced technologies

Addissouky,

Sayed,

Ali

et al. 2024

Egypt Liver Journal

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Background Hepatocellular carcinoma (HCC) is a common type of liver cancer, with a high mortality rate. Hepatocellular carcinoma is a type of liver cancer that can be effectively managed through early detection and accurate diagnosis, followed by a personalized treatment plan that may include surgical resection, liver transplantation, minimally-invasive techniques, immunotherapy, or targeted therapy depending on the stage and severity of the cancer. Main body of the abstract This paper discusses recent advances in the early detection, management, and prevention of HCC. The use of newer imaging techniques, such as Magnetic resonance imaging (MRI) and contrast-enhanced ultrasound, along with image segmentation technology and deep learning models, have greatly enhanced the accuracy of HCC detection and diagnosis. Minimally-invasive techniques, such as thermal ablation and radiofrequency ablation, have allowed for more precise and targeted destruction of tumors, while Nanoparticles, immunotherapy and targeted therapy have shown promise in the management of advanced stage HCC. The use of Artificial intelligence (AI) and machine learning has revolutionized HCC research, aiding in the identification of high-risk patients and predicting outcomes. Lifestyle modifications, such as weight management, alcohol avoidance, and hepatitis B vaccinations, can play a critical role in preventing HCC development. Short conclusion Recent advances in early detection, management, and prevention of HCC have shown promise in improving patient outcomes. The use of newer imaging techniques, minimally-invasive techniques, immunotherapy, targeted therapy, and AI and machine learning have greatly enhanced HCC research and management, while lifestyle modifications can play a critical role in prevention. However, further research is required to fully understand the potential benefits of nanoparticles, traditional Chinese medicine and herbal medicines in HCC treatment. Graphical Abstract

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Revisiting artificial intelligence diagnosis of hepatocellular carcinoma with DIKWH framework

Cited by 3 publications

References 74 publications

Diagnostic value of liver contrast-enhanced ultrasound in early hepatocellular carcinoma: a systematic review and meta-analysis

Diagnostic value of liver contrast-enhanced ultrasound in early hepatocellular carcinoma: a systematic review and meta-analysis

Hepatocellular carcinoma imaging: Exploring traditional techniques and emerging innovations for early intervention

Latest advances in hepatocellular carcinoma management and prevention through advanced technologies

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