Non-small cell lung cancer is one of the cancers with the highest incidence and mortality rate in the world, and precise prognostic models can guide clinical treatment plans. With the continuous upgrading of computer technology, deep learning as a breakthrough technology of artificial intelligence has shown good performance and great potential in the application of non-small cell lung cancer prognosis model. The research on the application of deep learning in survival and recurrence prediction, efficacy prediction, distant metastasis prediction, and complication prediction of non-small cell lung cancer has made some progress, and it shows a trend of multi-omics and multi-modal joint, but there are still shortcomings, which should be further explored in the future to strengthen model verification and solve practical problems in clinical practice.
As one of the most breakthrough cutting-edge technologies in the biomedical field in recent years, organoid culture technology can use cells derived from, either (pluripotent) stem cells or tissue-derived differentiated/progenitor cells (foetal, neonatal, or adult) to form 3D multicellular structure organoids with self-organizing and recapitulating at least some features of the organ including tissue architecture or function abilities. Recently, organoids have been widely used in disease model construction, anti-cancer drug screening, gene or cell therapy, etc., providing an ideal model for basic biomedical research, drug development and clinical precision medicine, and has shown an important role in regenerative medicine.
The global incidence of benign biliary tract diseases is high. Not only its anatomical variations are complex and the disease heterogeneity is strong, but also its preoperative assessment methods, surgical techniques and diagnostic and treatment strategies need to be improved. Consequently, patients have many perioperative complications and a poor long-term prognosis. According to the anatomical characteristics of the biliary tract and the pathophysiological characteristics of benign biliary diseases, we propose the surgical treatment concept of benign biliary tract diseases with the removal of the diseased bile duct tree drainage as the core, which is different from the traditional biliary surgery that takes “patency and obstruction” as the focus of treatment, and “alleviates symptoms” as the treatment goal. Through a series of improvements such as preoperative evaluation, surgical planning, surgical operations, and postoperative management, we have designed a series of innovative diagnosis and treatment strategies and procedures with the goal of curing biliary diseases, with a view to changing the diagnosis and treatment status of biliary surgery. We hope that can change the current the diagnosis and treatment status of biliary surgery.
Objective To assess the value of precise hepatectomy in treatment of primary hepatocellular carcinoma. Methods Three-dimensional (3D) models from MR image were reconstructed by 3D-Doctor software in 32 patients with primary hepatocellular carcinoma scheduled for liver resection between July 2007 and Sept 2009. From these 3D models, the vena cava, portal vein, hepatic vein, and short hepatic vein images were reconstructed, total liver volume, tumor volume, functional liver volume and ratio of functional liver volume to standard liver volume (SFLVR) were calculated. The patients were followed-up for 1-27 months, with an average of 12 months. Results The anatomic detail of liver veins and its relationship with the tumor could be displayed clearly in liver 3D models. By the 3D models, total liver volume was calculated as （1 353±419）ml, tumor volume as （287±248） ml, functional liver volume as （830±289） ml, and SFLVR as （71±22）%. Of 32 patients with hepatocellular carcinoma, right hemihepatectomy was performed in 8 cases, left hemihepatectomy in 2, and segmental or limited resection in 22. All operations were completed successfully. Postoperative complications included pulmonary infection in 1 case, bile leak in 1, moderate ascites (500-3 000 ml) in 8, and massive ascites (gt;3 000 ml) in 2 including one patient developed hepatic failure. Six and 12-month survival rates were 100% and 87%. Three, 6, and 12-month disease-free survival rates were 78%, 72%, and 72%. Conclusions Precise hepatectomy technique provides an accurate picture of liver veins anatomy and its relationship with the tumor， and allows the procedure to be simulated preoperatively for adequate and safe hepatectomy.
ObjectiveTo study clinical practical value of multimode imaging technique in precise hepatectomy for huge hepatocellular carcinoma (HCC). MethodsThe clinicopathologic data of patients with huge HCC who underwent precise hepatectomy in Yuebei People’s Hospital from Jan. 2018 to Dec. 2020 were collected. The three-dimensional (3D) reconstruction, 3D visualization, 3D printing, and augmented reality (AR) were used to guide preoperative evaluation, surgical planning, and surgical navigation. The liver function indexes, surgical mode, operative time, intraoperative bleeding, volume of resected liver, postoperative hospitalization, and complications were analyzed. ResultsThere were 23 patients in this study, including 18 males and 5 females, with (56.8±8.1) years old. The virtual tumor volume assessed by multimodal imaging technology was (865.2±165.6) mL and the virtual resected liver volume was (1 628.8±144.4) mL. The planned operations were anatomical hepatectomy in 19 patients and non-anatomical hepatectomy in 4 patients. The actual operation included 17 cases of anatomical hepatectomy and 6 cases of non-anatomical hepatectomy, which was basically consistent with the results of AR. The operative time was (298.4±74.5) min, the median hepatic blood flow blocking time was 20 min, and the intraoperative bleeding was (330.4±152.8) mL. Compared with preoperative levels, the levels of hemoglobin and albumin decreased temporarily on the first day after operation (P<0.05), and then which began to rise on the third day and basically rose to the normal range; prothrombintime, total bilirubin, alanine aminotransferase, and aspartate aminotransferase increased transiently on the first day after operation (P<0.05), then which began to decline to the normal levels. There were no serious operative complications and no perioperative death. The median follow-up time was 18 months, the tumor recurrence and metastasis occurred in 3 cases. ConclusionFrom preliminary results of this study, it could improve surgical safety and precision of hepatectomy for huge HCC by preoperative precise assessment and operation navigation in good time of multimode imaging technology.
Health poverty alleviation is an important practice in implementing the basic strategy of precision poverty alleviation. It is also an important measure to win the battle against poverty in rural areas. Through the investigation of local medical and health conditions, West China Hospital of Sichuan University built a demand-oriented framework for medical poverty alleviation in Ganzi Prefecture, and gradually carried out precision top-level design, discipline construction, technical training, talent training, endemic disease prevention and control; through establishinga regional medical cooperation network, built featured specialies, built the backbone of medical and health forces, achieved the prevention of endemic diseases throughout life cycle, and improved the overall medical and health service capacity of Ganzi Prefecture. This article introduces the exploration and practice of the demand-oriented model in Ganzi Prefecture by West China Hospital of Sichuan University, aiming at providing a guide for the precision health poverty alleviation in China.
The application of precision medicine in the field of tuberculosis is still in its infancy. The precision medicine of tuberculosis cannot be separated from the rapid and accurate diagnosis, the effective anti-tuberculosis drugs, and the comprehensive application of new cutting-edge technologies. In recent years, the precision medicine of tuberculosis has focused on drug-resistant tuberculosis, host-directed therapy and nano-targeted therapy, which has achieved certain results, providing an important mean for the treatment of tuberculosis, especially for the drug-resistant tuberculosis. In the future, the development of new drugs and the application of emerging technologies are the focus of precision medicine of tuberculosis. It is necessary to gradually carry out relevant clinical trial research and objectively evaluate its application value and prospects.
ObjectiveTo review the research progress on correction of severe foot and ankle deformities with digital hexapod external fixators. Methods The relevant research literature on digital hexapod external fixators at home and abroad in recent years was reviewed and analyzed. Taking Taylor spatial frame (TSF) as a representative, this article elaborates on the research progress of this technology in the treatment of severe foot and ankle deformities from aspects such as device principle, technical characteristics, clinical application, complication management, and controversial perspectives, aiming to provide theoretical references for clinical application. Results The treatment of severe foot and ankle deformities is a complex challenge in orthopedics, often involving multiple plane alignment abnormalities, muscle weakness, soft tissue contractures, and joint dysfunction. The digital hexapod external fixators (such as TSF), based on the principle of six degrees of freedom motion and combined with computer-assisted technology, enables precise correction of multi-dimensional deformities. Conclusion The digital hexapod external fixators provides a minimally invasive and efficient option for the treatment of severe foot and ankle deformities, and shows significant advantages in the treatment of complex post-traumatic deformities, neuromuscular deformities, diabetes Charcot arthropathy, and other diseases.
Objective To explore feasibility and effectiveness of three-dimensional (3D) printing technology in precise hepatectomy. Methods The patient was a 60-year-old woman with diagnosis of liver malignancy. The liver model was reconstructed using the IQQA Liver System (EDDA Technology, Inc. USA) based on the CT scan data. The volumes of the liver and the lesion were measured and recorded. The CT data were further digitally reconstructed by means of cloud computing and storage with RevoCloud (V1.0) Medical Imaging System. The best surgical plan was determined by the repeated virtual surgical resection with the reconstruction system, based on the corresponding resected liver volume and the remaining liver volume. Results The reconstruction of liver clearly showed that the tumor invaded the right hepatic and middle hepatic veins, as well as the anterior branch of right portal vein, which was consistent with the conclusion of CT scan. In the other hand, the right posterior branch of the portal vein was completely distributed in the segment Ⅴ and Ⅵ, while a relatively large right posterior inferior vena presented and drained segment Ⅴ and Ⅵ. The anatomic resection of segment Ⅶ, Ⅷ , and Ⅳa was completed according to the preoperative plan. The liver function kept recovering, and the patient discharged a week later. Conclusion Results of this patient show that 3D printing technology can accurately assess anatomic construction of liver and determine relationship between lesion and its surrounding tissue, which can be effectively used in precise hepatectomy.