ObjectiveTo summarize and analyze the application of ex vivo liver resection and autotransplantation (ELRA) in the treatment of hepatobiliary diseases. MethodThe related literature about ELRA used to treat various hepatobiliary space-occupyingdiseases at home and abroad in recent years was comprehensively searched and summarized. ResultsELRA had overcome the limitations of limited operational space in traditional surgery for the treatment of hepatobiliary space-occupying diseases reduced dependence on donor livers, and avoided post-transplant rejection. It had been applied in the treatment of hepatic alveolar echinococcosis, liver cancer, cholangiocarcinoma, and rare liver space-occupying diseases. ConclusionsWith the maturation of ELRA techniques and the continuous improvement of ex vivo liver perfusion technology, along with rigorous preoperative evaluation and meticulous postoperative management, postoperative complications of ELRA have significantly decreased compared to the initial stages of its application. By strictly adhering to surgical indications, this procedure is expected to be used treatment in an increasing number of hepatobiliary space-occupying diseases.
ObjectiveTo comprehend the current diagnosis status and new progress of hepatic echinococcosis (HE). MethodThe literature from domestic and foreign researchers relevant diagnosis of HE in recent years was searched and summarized. ResultsThe HE was widely distributed worldwide, with extremely high mortality and disability rates, posing a serious threat to local economic development and public health. At present, in addition to the traditional and widely recognized diagnostic methods based on epidemiological histories, clinical manifestations, routine imaging, and experimental examinations, many innovative technologies based on these traditional diagnostic methods had emerged in the field of HE diagnosis, such as diagnostic prediction models constructed based on ultrasound and other imaging data, artificial intelligence, three-dimensional visual reconstruction, and circulating free DNA testing, which significantly improved the diagnosis rate of the HE. ConclusionsIn recent years, with the continuous improvement of medical level, the in-depth and perfect exploration of HE has made remarkable progress, which not only provides a new possibility for the early diagnosis of the HE, but also provides an important basis for research in related fields and the formulation of prevention and control measures. Therefore, the further promotion and application of these new techniques will aid to promote the diagnosis progress of HE and reduce its impact on population health.
ObjectiveTo understand the current progress in the application of artificial intelligence (AI) technology in intrahepatic cholangiocarcinoma (ICC). MethodA systematic review was conducted on recent domestic and international research literature regarding AI applications in ICC, with a focus on radiomics and deep learning (DL). ResultsICC is a critical subtype of primary liver cancer characterized by high malignancy and mortality. We systematically reviewed the current status and prospects of AI-based approaches in preoperative diagnosis, treatment guidance, and prognosis prediction for ICC. ConclusionsDespite the progress made by AI in the field of ICC, it still faces challenges such as model accuracy, data integration, and clinical application. With technological advancements and deeper research, AI is expected to play a more significant role in ICC prevention and treatment. Interdisciplinary collaboration will also drive sustainable progress in this domain.
