iLIVERPub Date : 2025-06-01Epub Date: 2025-04-17DOI: 10.1016/j.iliver.2025.100162
Baldeep Kaur Mann , Janpreet Singh Bhandohal , Ishaan Kalha , Brian Jean
{"title":"Corrigendum to “A retrospective cohort study to examine the association between the persistence of abdominal pain after cholecystectomy and ejection fraction on HIDA scan in patients with biliary dyskinesia” [iLIVER 2 (2023) 208–213]","authors":"Baldeep Kaur Mann , Janpreet Singh Bhandohal , Ishaan Kalha , Brian Jean","doi":"10.1016/j.iliver.2025.100162","DOIUrl":"10.1016/j.iliver.2025.100162","url":null,"abstract":"","PeriodicalId":100657,"journal":{"name":"iLIVER","volume":"4 2","pages":"Article 100162"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144336022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
iLIVERPub Date : 2025-06-01Epub Date: 2025-04-18DOI: 10.1016/j.iliver.2025.100161
Zhang Lin, Zhu Jianhua, Wu Kai, Hou Yanhong, Liu Haorun
{"title":"Corrigendum to “Effects of Raf kinase inhibitor protein on biological characteristics of hepatocellular carcinoma cells and its potential therapeutic effects” [iLIVER 1 (2022) 275–282]","authors":"Zhang Lin, Zhu Jianhua, Wu Kai, Hou Yanhong, Liu Haorun","doi":"10.1016/j.iliver.2025.100161","DOIUrl":"10.1016/j.iliver.2025.100161","url":null,"abstract":"","PeriodicalId":100657,"journal":{"name":"iLIVER","volume":"4 2","pages":"Article 100161"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144335920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Isolated intrahepatic bile duct injury secondary to blunt abdominal trauma: A case report and literature review","authors":"Shengming Zhang , Yifeng He , Daiwei Zhou , Jianhong Jiang, Jianfan Wen, Deqin Zeng","doi":"10.1016/j.iliver.2025.100156","DOIUrl":"10.1016/j.iliver.2025.100156","url":null,"abstract":"<div><div>Closed trauma-induced extrahepatic bile duct injuries have been occasionally reported. However, isolated intrahepatic bile duct injuries are extremely rare due to the deep location of the intrahepatic bile ducts and the protection provided by surrounding vital blood vessels and organs.</div><div>We report a case of a 50-year-old female who sustained an incomplete rupture of the left hepatic bile duct following a car accident. The patient was urgently transferred to a nearby hospital for treatment after the incident. On the 15th day of hospitalization, she developed abdominal distension, nausea, indigestion, and white stool. Large volumes of dark green ascitic fluid were drained via ultrasound-guided abdominal paracentesis. The patient requested further specialized diagnosis and treatment and was subsequently transferred to our hospital. Ultimately, percutaneous transhepatic cholangiography (PTC) revealed contrast agent extravasation from the left intrahepatic bile duct, confirming a traumatic bile duct injury. The patient underwent left hemihepatectomy on the 30th day post-injury and was discharged on the 12th postoperative day following a successful recovery.</div></div>","PeriodicalId":100657,"journal":{"name":"iLIVER","volume":"4 2","pages":"Article 100156"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143844726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
iLIVERPub Date : 2025-06-01Epub Date: 2025-04-01DOI: 10.1016/j.iliver.2025.100157
{"title":"Corrigendum to previously published articles","authors":"","doi":"10.1016/j.iliver.2025.100157","DOIUrl":"10.1016/j.iliver.2025.100157","url":null,"abstract":"","PeriodicalId":100657,"journal":{"name":"iLIVER","volume":"4 2","pages":"Article 100157"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144335917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
iLIVERPub Date : 2025-06-01Epub Date: 2025-04-23DOI: 10.1016/j.iliver.2025.100164
Hongjun Yuan , Hongli Yu , Ying Guan , Wenjing Wang , Qiang Yu , Yinying Lu , Fengyong Liu
{"title":"Practice revolution in local interventional therapy for liver metastases","authors":"Hongjun Yuan , Hongli Yu , Ying Guan , Wenjing Wang , Qiang Yu , Yinying Lu , Fengyong Liu","doi":"10.1016/j.iliver.2025.100164","DOIUrl":"10.1016/j.iliver.2025.100164","url":null,"abstract":"<div><div>The treatment of liver metastases is undergoing a transformation from single-modality therapy to multimodal combination therapy, with local interventional treatments playing an increasingly important role. This review explores the synergistic effects between local interventional therapy and systemic treatment, the reconstruction of interventional therapy indications driven by advances in systemic treatment, and the impact of local interventional therapy on systemic treatment “switching” strategies. Through multidisciplinary collaboration and innovative interventional materials and techniques, local interventional therapy has evolved from a traditional palliative approach to become an essential component in the comprehensive treatment system for liver metastases.</div></div>","PeriodicalId":100657,"journal":{"name":"iLIVER","volume":"4 2","pages":"Article 100164"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
iLIVERPub Date : 2025-06-01Epub Date: 2025-05-16DOI: 10.1016/j.iliver.2025.100167
Xianxing Wang , Jiali Yang , Beichuan Zhou , Li Tang , Yongxing Liang
{"title":"Integrating mixed reality, augmented reality, and artificial intelligence in complex liver surgeries: Enhancing precision, safety, and outcomes","authors":"Xianxing Wang , Jiali Yang , Beichuan Zhou , Li Tang , Yongxing Liang","doi":"10.1016/j.iliver.2025.100167","DOIUrl":"10.1016/j.iliver.2025.100167","url":null,"abstract":"<div><div>Hepatobiliary surgeries, particularly hepatectomy and liver transplantation, are critical interventions for hepatic malignancies and end-stage liver diseases. These complex procedures face challenges due to the liver's intricate anatomy and vascularization. The integration of Mixed Reality (MR), Augmented Reality (AR), and Artificial Intelligence (AI) is increasingly enhancing the precision, safety, and outcomes of these surgeries. MR and AR improve visualization of anatomical structures, assist in preoperative planning, and support patient education through immersive 3D models. AI-driven technologies provide real-time intraoperative feedback and navigation, optimizing surgical decisions and minimizing risks. Postoperatively, these technologies aid in patient education and recovery management, ultimately improving outcomes. This review explores the applications of MR, AR, and AI in liver surgeries and their potential to transform surgical practice by enhancing precision, safety, and patient engagement.</div></div>","PeriodicalId":100657,"journal":{"name":"iLIVER","volume":"4 2","pages":"Article 100167"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144205446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multiphase MRI radiomics model for predicting microvascular invasion in HCC: Development and clinical validation","authors":"Yue Peng , Songxiong Wu , Bing Xiong , Fuqiang Chen , Nazar Zaki , Ruodai Wu , Wenjian Qin","doi":"10.1016/j.iliver.2025.100165","DOIUrl":"10.1016/j.iliver.2025.100165","url":null,"abstract":"<div><h3>Background and aims</h3><div>Accurate preoperative prediction of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) is crucial for treatment planning. This study aimed to develop and validate a multi-phase magnetic resonance imaging (MRI)-based radiomics model for predicting MVI in HCC patients.</div></div><div><h3>Methods</h3><div>This retrospective study included 110 HCC patients (training: <em>n</em> = 77; validation: <em>n</em> = 33) who underwent preoperative multi-phase MRI. Radiomics features were extracted from four MRI phases (non-contrast, arterial, portal, and hepatobiliary). Feature selection was performed using least absolute shrinkage and selection operator regression, and five machine learning classifiers were evaluated. Model performance was assessed using standard metrics including area under the receiver operating characteristic curve (AUC), sensitivity, specificity, and accuracy.</div></div><div><h3>Results</h3><div>The four-phase radiomics model with logistic regression classifier showed optimal performance in both the training (AUC = 0.896; 95% confidence interval, 0.792–0.963) and validation cohorts (AUC = 0.889, 95% confidence interval, 0.781–0.982), outperforming the single-phase (AUC = 0.789), two-phase (AUC = 0.815), and three-phase models (AUC = 0.848) in the validation cohort. In the validation cohort, the model achieved balanced performance with sensitivity, specificity, accuracy, and precision all reaching 0.857.</div></div><div><h3>Conclusions</h3><div>The multi-phase MRI-based radiomics model significantly improves MVI prediction accuracy in HCC patients. This non-invasive approach could enhance preoperative assessment and treatment planning.</div></div>","PeriodicalId":100657,"journal":{"name":"iLIVER","volume":"4 2","pages":"Article 100165"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144099544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
iLIVERPub Date : 2025-06-01Epub Date: 2025-04-18DOI: 10.1016/j.iliver.2025.100160
Shan Tang , Li Bai , Wei Zhang , Wenyan Song , Hui Liu , Lei Li , Chen Liang , Zhongping Duan , Sujun Zheng
{"title":"Corrigendum to “A HRG novel mutation associated with idiopathic portal hypertension: Case report and literature review” [iLIVER 1 (2022) 90–95]","authors":"Shan Tang , Li Bai , Wei Zhang , Wenyan Song , Hui Liu , Lei Li , Chen Liang , Zhongping Duan , Sujun Zheng","doi":"10.1016/j.iliver.2025.100160","DOIUrl":"10.1016/j.iliver.2025.100160","url":null,"abstract":"","PeriodicalId":100657,"journal":{"name":"iLIVER","volume":"4 2","pages":"Article 100160"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144335919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}