Objective To evaluate the early effectiveness of navigation-free robot-assisted total knee arthroplasty (TKA) compared to traditional TKA in the treatment of knee osteoarthritis combined with extra-articular deformities. Methods The clinical data of 30 patients with knee osteoarthritis combined with extra-articular deformities who met the selection criteria between June 2019 and January 2024 were retrospectively analyzed. Fifteen patients underwent CORI navigation-free robot-assisted TKA and intra-articular osteotomy (robot group) and 15 patients underwent traditional TKA and intra-articular osteotomy (traditional group). There was no significant difference in age, gender, body mass index, affected knee side, extra-articular deformity angle, deformity position, deformity type, and preoperative knee range of motion, American Knee Society (KSS) knee score and KSS function score, and lower limb alignment deviation between the two groups (P>0.05). The operation time, intraoperative blood loss, and complications of the two groups were recorded and compared. The knee range of motion and lower limb alignment deviation were recorded before operation and at 6 months after operation, and the knee joint function was evaluated by KSS knee score and function score. Results There was no significant difference in operation time between the two groups (P>0.05); the intraoperative blood loss in the robot group was significantly less than that in the traditional group (P<0.05). Patients in both groups were followed up 6-12 months, with an average of 8.7 months. The incisions of all patients healed well, and there was no postoperative complication such as thrombosis or infection. At 6 months after operation, X-ray examination showed that the position of the prosthesis was good in both groups, and there was no loosening or dislocation of the prosthesis. The knee joint range of motion, the lower limb alignment deviation, and the KSS knee score and KSS function score significantly improved in both groups (P<0.05) compared to preoperative ones. The changes of lower limb alignment deviation and KSS function score between pre- and post-operation in the robot group were significantly better than those in the traditional group (P<0.05), while the changes of other indicators between pre- and post-operation in the two groups were not significant (P>0.05). Conclusion Compared to traditional TKA, navigation-free robot-assisted TKA for knee osteoarthritis with extra-articular deformities results in less intraoperative blood loss, more precise reconstruction of lower limb alignment, and better early effectiveness. However, long-term effectiveness require further investigation.
Objective To investigate the correlation of red blood cell distribution width (RDW) and neutrophil to lymphocyte ratio (NLR) with total imaging load of cerebral small vessel disease (CSVD), and the clinical diagnostic value of RDW, NLR and their combined indicators for high load of CSVD imaging. Methods The medical records of CSVD patients hospitalized in the Department of Neurology of Baotou Central Hospital between October 2018 and October 2022 were retrospective collected. The total imaging load of CSVD was obtained by evaluating the cranial MRI and divided into a low load group and a high load group. The general clinical data, past medical history, and blood biochemical indicators were compared between the two groups. The correlation analysis method was used to analyze the relationship between the relevant indicators and the total imaging load. Logistic regression analysis was used to analyze the risk factors of the total imaging load of CSVD. The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic value of the detection indicators for clinical diagnosis. Results A total of 320 patients were included. Among them, there were 201 cases (62.81%) in the low load imaging group and 119 cases (37.19%) in the high load imaging group. Excepted for age, gender, history of hypertension, RDW, and NLR (P<0.05), there was no statistically significant difference in the comparison of other indicators between the two groups (P>0.05). Spearman correlation analysis showed that RDW (r=0.445, P<0.001) and NLR (r=0.309, P<0.001) were positively correlated with the total imaging load of CSVD. The results of multivariate logistic regression analysis showed that age, male gender, RDW, and NLR were risk factors for high imaging load of CSVD. The areas under the ROC curve of RDW, NLR, and their combined indicators were 0.733, 0.644, and 0.792, respectively.Conclusions In patients with CSVD, the levels of RDW and NLR are related to the total imaging load of CSVD, which are independent risk factors for high imaging load of CSVD. The levels of RDW and NLR have clinical diagnostic value in predicting CSVD high load.
Objective To improve the knowledge of cryptogenic organizing pneumonia ( COP) , and reduce misdiagnosis and mistreatment. Methods The medical records of 22 patients with biopsy-proven COP from January 2006 to October 2011 were retrospectively reviewed. The clinical presentation, laboratory data, radiographic results and treatment were collected and analyzed. Results The clinical presentations were nonspecific, and the most common symptomof COPwas cough ( 95. 45% ) . The laboratory data analysis revealed that elevated erythrocyte sedimentation rate in 71. 43% of the COP patients. The COP patients usually presented with a restrictive ventilation dysfunction and decreased diffuse function on pulmonary function test. The most common patterns of lung abnormality on chest CT scan were bilaterally multifocal patchy consolidation or ground-glass opacification ( 63. 64% ) , which distributed along the bronchovascular bundles or subpleural lungs. Patchy consolidation with air bronchograms was also a common feature ( 54. 55% ) . Migration over time and spontaneous remission of consolidation were important pointers.Histopathology by transbronchial lung biopsy was a valuable means for diagnosis. The majority of COP patients were non-response to antibiotics, but responded rapidly and completely to oral administration of corticosteroids with good prognosis. Conclusions The clinical presentations and laboratory data of COP patients are nonspecific. Initial imaging findings of COP are similar with pneumonia. Strengthening the recognition of COP is conducive to reducing misdiagnosis and reasonable antibiotics use.
Objective To review the value of imaging assessment for perioperative period of liver transplantation. Methods The related literatures in recent years were reviewed, and the applications of various kinds of radiological techniques in perioperative period of liver transplantation and radiological strategies of major complications after liver transplantation were summarized. Results Transplantation has become an effective option for treatment of patients with irreversible severe liver dysfunction. Radiological assessment supplies prompt and accurate information for clinic to increase the success rate and reduce the complications. So it plays an irreplaceable role. Conclusions Radiology assessment is important for screening donors and recipients before liver transplantation， following up and monitoring the complications. The doctor of imaging department could grasp the different imaging appearance in perioperative period of liver transplantation.
CT texture analysis (CTTA) can objectively evaluate the heterogeneity of tissues and their lesions beyond the ability of subjective visual interpretation by extracting the texture features of CT images, then performing analysis and quantitative and objective evaluation, reflecting the tissue micro environmental information. This article reviews the recent studies on the applications of CTTA in gastric cancers, in the aspects of identification of gastric tumors, prediction of stage, correlation with Lauren classification, prediction of occult peritoneal carcinomatosis, evaluation of efficacy and prognosis, and prediction of biomarkers. It is regarded that CTTA has a good application prospect in gastric cancers.
ObjectiveTo summarize the current research progress in the prediction of the efficacy of neoadjuvant therapy of breast cancer based on the application of artificial intelligence (AI) and radiomics. MethodThe researches on the application of AI and radiomics in neoadjuvant therapy of breast cancer in recent 5 years at home and abroad were searched in CNKI, Google Scholar, Wanfang database and PubMed database, and the related research progress was reviewed. ResultsAI had developed rapidly in the field of medical imaging, and molybdenum target, ultrasound and magnetic resonance imaging combined with AI had been deepened and expanded in different degrees in the application research of breast cancer diagnosis and treatment. In the research of molybdenum target combined with AI, the high sensitivity of molybdenum target to microcalcification was mostly used to improve the accuracy of early detection and diagnosis of breast cancer, so as to achieve the clinical purpose of early detection and diagnosis. However, in terms of prediction of neoadjuvant efficacy research of breast cancer, ultrasound and magnetic resonance imaging combined with AI were more prevalent, and their popularity remained unabated. ConclusionIn the monitoring of neoadjuvant therapy for breast cancer, the use of properly designed AI and radiomics models can give full play to its role in the predicting the curative effect of neoadjuvant therapy, and help to guide doctors in clinical diagnosis and treatment and evaluate the prognosis of breast cancer patients.
Objective
To summarize progress of imagings and tumor markers in preoperative TN staging of colorectal cancer.
Methods
The domestic and international published literatures related to application of imagings such as EUS, CT, and MRI and tumor markers such as CEA, CA19-9, and CA-242 in preoperative TN staging of colorectal cancer were collected and reviewed.
Results
The imagings and tumor markers have different values in the preoperative TN staging of colorectal cancer, but the value of a single application is limited. The combination of imagings and tumor markers could improve the diagnostic accuracy of the preoperative TN staging of colorectal cancer.
Conclusion
In clinical work, combination of imagings and tumor markers should be selected basing on actual situation of patients so as to improve accuracy of preoperative TN staging of colorectal cancer, and guide clinical treatment and improve prognosis of patients.
Objective To introduce the imaging modalities used for the evaluation of postoperative complications of orthotopic liver transplantation (OLT) and to present the imaging findings of these complications. Methods The literatures related to the imaging methods and imaging manifestations of OLT complications were reviewed. Results Ultrasound was the initial imaging technique used for the detection of complications in the early postoperative period. Spiral CT and MRI yielded more accurate and comprehensive evaluation of postoperative complications in later stage. So far, there had been no specific imaging findings to suggest rejection reaction. The spectrum of imaging manifestations of OLT complications, such as vascular complications, biliary complications, liver parenchymal complications, and so on, were summarized and illustrated. Conclusion Imaging examination (especially ultrasound, spiral CT and MRI ) plays an important role in the evaluation of postoperative complications of OLT.
Neuroimaging technologies have been applied to the diagnosis of schizophrenia. In order to improve the performance of the single-modal neuroimaging-based computer-aided diagnosis (CAD) for schizophrenia, an ensemble learning algorithm based on learning using privileged information (LUPI) was proposed in this work. Specifically, the extreme learning machine based auto-encoder (ELM-AE) was first adopted to learn new feature representation for the single-modal neuroimaging data. Random project algorithm was then performed on the learned high-dimensional features to generate several new feature subspaces. After that, multiple feature pairs were built among these subspaces to work as source domain and target domain, respectively, which were used to train multiple support vector machine plus (SVM+) classifier. Finally, a strong classifier is learned by combining these SVM+ classifiers for classification. The proposed algorithm was evaluated on a public schizophrenia neuroimaging dataset, including the data of structural magnetic resonance imaging (sMRI) and functional MRI (fMRI). The results showed that the proposed algorithm achieved the best diagnosis performance. In particular, the classification accuracy, sensitivity and specificity of the proposed algorithm were 72.12% ± 8.20%, 73.50% ± 15.44% and 70.93% ± 12.93%, respectively, on the sMRI data, and it also achieved the classification accuracy of 72.33% ± 8.95%, sensitivity of 68.50% ± 16.58% and specificity of 75.73% ± 16.10% on the fMRI data. The proposed algorithm overcomes the problem that the traditional LUPI methods need the additional privileged information modality as source domain. It can be directly applied to the single-modal data for classification, and also can improve the classification performance. Therefore, it suggests that the proposed algorithm will have wider applications.
ObjectiveTo analyze the clinical radiographic features and treatment of interstitial lung disease (ILD) inpatients infected with influenza virus. MethodsThe clinical data of ILD patients with influenza in Nanjing Drum Tower Hospital from October 2023 to January 2024 were collected. According to each patient results of influenza nucleic acid detection, they were divided into an influenza infection group and a non-infection group. ResultsA total of 73 patients received influenza nucleic acid detection were enrolled, 23 cases including 5 males and 18 females were positive. Twenty-one cases were infected with influenza A virus, 2 cases were infected with influenza B virus. The median age of influenza positive patients was 64.7±7.8 years. Cough (23 cases, 100.0%), sputum (23 cases, 100.0%), wheezing (20 cases, 87.0%) and fever (17 cases, 73.9%) were the most common symptoms of the patients infected with influenza. Compared with the non-infection patients, fever was more common in the influenza infection group (P<0.05). Laboratory examination indicated that lymphocytopenia were detected in the influenza infection patients. There was no statistical difference in the level of white blood cell count, neutrophil count, lactate dehydrogenase, creatine kinase, erythrocyte sedimentation rate, C-reactive protein, calcitonin, interleukin-6 and oxygenation index. Ground glass opacity in the influenza virus infection group was more common than that in the non-infection group (P<0.05). Ten ILD patients infected with influenza virus (43.5%) were co-infected with Aspergillus. The chest CT type of ILD patients with Aspergillus infection was usual interstitial pneumonia (UIP). Honeycombing was more common than those without Aspergillus infection group (P<0.05). Twenty-two patients (95.7%) received antiviral treatment, of which 20 patients (87.0%) were treated with oseltamivir, 5 patients (21.7%) were treated with mabaloxavir, and 4 patients (17.4%) were treated combined with paramivir. Seventeen patients (73.9%) were previously treated with glucocorticoids, and 16 patients did not adjust the glucocorticoids dosage; 9 patients (39.1%) were previously treated with immunosuppressants, and 2 patients stopped immunosuppressants. Four patients (17.4%) infected with influenza virus developed acute exacerbation of ILD. There was no statistically significant difference in acute exacerbation between the two groups (P>0.05). ConclusionsCompared with ILD patients not infected with influenza, fever, lymphocytopenia and ground-glass opacity are the common clinical and chest CT features of ILD patients infected with influenza. Patients with UIP type combined with honeycomb were prone to be co-infected with Aspergillus infection.
