Objective To investigate the application of magnetic resonance imaging (MRI) in preoperative assessment of rectal cancer. Methods Combined with the literatures, the MRI features and measurements of rectal tumor staging, extramural vascular invasion, circumferential margin involvement, and the distance between distal margin of the tumor from the anorectal ring and the anal margin were described. Results On T2-weighted images (T2WI), T1 staging-tumors were those in which the normal submucosa was replaced by the iso-intensity of tumor tissue without invasion of muscularis propria; T2 staging-tumors were those with extension into the muscularis propria, but not invaded the high-intensity of mesorectal fat; T3 staging-tumors manifested as the rectal tumor penetrated into the muscularis propria and invaded the high-intensity of mesorectal fat; T4 staging-tumors manifested as the tumor invaded adjacent structures or organs. The metastatic lymph nodes were showed with irregular boundaries and mixed signals on T2WI. The tumor signals could be found in the extramural vascular on T1-weighted images (T1WI), accompanied by irregular distortion and expansion of the blood vessels. On T2WI, metastatic lymph nodes, extramural vascular invasion, and the distance between the residual tumor and the low-signal of mesorectal fascia was within 1 mm, indicated the positive circumferential margin. On T2WI, the distal margin of the tumor was located at the junction of hyperintense submucosa and iso-signal of tumor, the tip of the iso-signal puborectal muscle was the apex of the anorectal ring, and the lowest point of the iso-signal external sphincter was the anal margin. Conclusion MRI can provide reliable imaging information for preoperative staging, height measurement, and prognosis of rectal cancer, and it is helpful for early diagnosis and treatment of rectal cancer.
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.
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.
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 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.
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.