Objective To summarize the research status and progress of imaging diagnosis of periampullary carcinoma. Methods The literatures on imaging diagnosis of periampullary carcinoma were reviewed. Results At present, the commonly used imaging diagnosis methods for periampullary carcinoma mainly include ultrasound, CT, MRI, and endoscopic retrograde cholangiopancreatography. Some other new imaging techniques had also been applied in the diagnosis and evaluation of periampullary carcinoma. Conclusions Different imaging methods have their own advantages and disadvantages in the diagnosis of periampullary carcinoma. Therefore, the detection rate and diagnostic accuracy of periampullary carcinoma can be improved by rational selection of imaging techniques or combined application of multiple techniques.
ObjectiveTo summarize the current status of imaging in intraductal papillary mucinous neoplasms of the pancreas (IPMN).MethodThe related literatures of imaging about IPMN of the pancreas were searched in the PubMed, CNKI, VIP, and Wanfang Data databases, etc.ResultsA variety of imaging techniques could be used to diagnosis IPMN of the pancreas, including CT, MRI, EUS, and PET-CT. The CT and MRI had great performances to diagnose and differential diagnosis of benign and malignant IPMN of the pancreas. The MRI with new targeted nanoparticle contrast agents could be used to diagnosis the early IPMN of the pancreas. The EUS was very good at detecting the wall nodules in the IPMN of the pancreas. Compared with the CT and MRI, the ability of EUS to grade IPMN of the pancreas was uncertain. The PET-CT was of high performance for the differential diagnosis between the benign and malignant IPMN of the pancreas.ConclusionsVarious imaging technologies have their own advantages in diagnosing IPMN of pancreas. MRI is currently the optimal choice when condition is permit.
Chronic venous diseases are the most common vascular diseases, which are the key field of vascular surgery. This review focused on the development about imaging diagnosis (including ultrasound, CT venogram, magnetic resonance venogram, venography, and intravascular ultrasound), genetic screening, drug therapy (including venous active drugs, antithrombotic drugs, and sulodexide), compression therapy, and surgical treatment (including heat venous ablation, non-heat venous ablation, endovascular treatment of iliac vein, and repair of venous valves) of chronic venous diseases during the past years. This reflects the trend of preciseness, individualization, and microinvasiveness in this field.
The clinical diagnosis, treatment, and prognosis of gastric cancer heavily rely on imaging examinations. The conventional imaging reports often suffer from descriptive and non-structured issues, which may lead to omission of critical information or inconsistent interpretations, thereby compromising clinical decision-making. Therefore, the standardized radiological assessment for gastric cancer is of paramount importance. The West China Hospital of Sichuan University has involved in developing and implementing a CT imaging structured reporting for gastric cancer. This structured reporting, based on authoritative guidelines, integrates key diagnostic elements to ensure comprehensive information and standardized reporting, while also serving quality control and educational purposes. Now we introduce the design, application, and features of the structured reporting at West China Hospital of Sichuan University, aiming to promote standardized documentation of gastric cancer CT imaging reports.
ObjectiveTo review the current applications of machine learning in orthopaedic trauma and anticipate its future role in clinical practice. MethodsA comprehensive literature review was conducted to assess the status of machine learning algorithms in orthopaedic trauma research, both nationally and internationally. ResultsThe rapid advancement of computer data processing and the growing convergence of medicine and industry have led to the widespread utilization of artificial intelligence in healthcare. Currently, machine learning plays a significant role in orthopaedic trauma, demonstrating high performance and accuracy in various areas including fracture image recognition, diagnosis stratification, clinical decision-making, evaluation, perioperative considerations, and prognostic risk prediction. Nevertheless, challenges persist in the development and clinical implementation of machine learning. These include limited database samples, model interpretation difficulties, and universality and individualisation variations. ConclusionThe expansion of clinical sample sizes and enhancements in algorithm performance hold significant promise for the extensive application of machine learning in supporting orthopaedic trauma diagnosis, guiding decision-making, devising individualized medical strategies, and optimizing the allocation of clinical resources.
Breast cancer is a malignant tumor with the highest incidence and mortality rate among women worldwide. Early screening and standardized diagnosis and treatment of breast cancer are conducive to improving the survival rate of patients. Breast magnetic resonance imaging (MRI) plays a crucial role in the screening of high-risk populations, diagnosis, staging, and treatment efficacy evaluation. To improve the writing efficiency and diagnostic accuracy of breast MRI reports and promote standardized diagnosis and treatment of breast cancer, there is an urgent need for standardized imaging structured reports. We present the imaging structured report protocol of MRI for breast diseases utilized at West China Hospital of Sichuan university, which aims to promote standardized documentation of breast MRI reports.
Acute pancreatitis is a prevalent acute abdominal syndrome in clinical practice, characterized by a complex and variable course, numerous complications, high treatment challenges, and significant variability in prognosis. Imaging computed tomography (CT) plays an indispensable role in the diagnosis, classification, and severity assessment of acute pancreatitis. To ensure precise communication of the condition across departments and mutual recognition of imaging examination results among different medical institutions, there is an urgent need to establish standardized imaging reports for acute pancreatitis. We present the CT structured reporting for acute pancreatitis utilized at West China Hospital of Sichuan University, with the aim of promoting the standardization of CT report writing for acute pancreatitis.
ObjectiveTo summarize the advantages of double-layer detector spectral CT (DLCT) as compared with conventional CT in disease diagnosis and its research status in the diagnosis of gastric cancer. MethodThe literature relevant research was summarized, including the clinical application of DLCT and its clinical research in the diagnosis of gastric cancer. ResultsThe image quality of DLCT was better than that of conventional CT examination. Its virtual non-contrast could display gastric cancer lesions and evaluate lymph node metastasis. The number of CT scans of patient was reduced by DLCT, correspondingly the radiation dose received by patients was reduced, and the examination time of patient was shortened. The iodine uptake in the tissues could visually be observed by the iodine concentration map in the DLCT and be quantitatively analyzed, which could provide a new option for noninvasive evaluation of angiogenesis in the gastric cancer. The DLCT scanning provided a material decomposition image, the different iodine absorption of normal gastric mucosa and gastric cancer could be reflected by the material decomposition image. The enhancement degree and blood supply of lesions could be effectively reflected by quantitative measurement of iodine concentration and thus the benign and malignant changes of the gastric diseases were effectively identified. The DLCT could distinguish the structure of the gastric wall, which could show the depth of invasion of malignant gastric lesions to the gastric wall and whether the adjacent tissues and organs were involved or not. Through the homology analysis of abnormal lymph nodes and suspicious metastases in the abdominal cavity through the related parameters of the DLCT could more accurately determine the clinical TNM stage of the gastric cancer before surgery. ConclusionsIn recent years, DLCT has shown a better morphological diagnostic efficiency than conventional CT in clinical application. Its virtual non-contrast, iodine concentration, effective atomic number, and other parameters characteristics make it show obvious advantages in gastric cancer, such as evaluation of angiogenesis of gastric cancer, differentiation of benign and malignant gastric diseases, clinical staging of gastric cancer, and other applications. In future, with more usable parameters research and continuous accumulation of clinical application about DLCT in clinic, which can better serve clinical work.
Objective To review the advances in diagnosis and treatment of acute scaphoid fractures. Methods The characteristic, classification, diagnosis, and treatment of acute scaphoid fractures were reviewed and summarized. Results As one of the common fracture in hand, scaphoid fractures are generally classified as either undisplaced and stable or displaced and unstable. CT and MRI has best diagnostic specificity and sensitivity respectively. Most undisplaced and stable fractures can be treated successfully by plaster immobilization, whereas the displaced and unstable fractures have great prognosis after open reduction and internal fixation. Conclusion Acute scaphoid fractures should be diagnosed and treated at an early stage, and choose the appropriate treatment according to the location and stability of the fracture.
The patients with rectal cancer account for 50% or more of patients with colorectal cancer. The rectal magnetic resonance imaging (MRI) plays a pivotal role in clinical practice for evaluating the treatment baseline of tumors. The structured report of MRI serves as the foundation so as to promote homogenized, standardized, and normalized diagnosis and treatment of rectal cancer. We presented the MRI-based baseline evaluation structured reporting system for rectal cancer developed by West China Hospital of Sichuan University, aiming to advance the standardization and normalization of imaging reports for treatment baseline assessment in rectal cancer.