Globally， the incidence and mortality rates of liver cancer rank among the highest， posing a serious threat to the life and health of people. This article elaborates on the principles and characteristics of multimodal image fusion technology and artificial intelligence technology， analyzes their specific application in liver surgery， and highlights their clinical value and future development prospects， in order to provide a reference for the surgical diagnosis and treatment of liver diseases.

Post-stroke cognitive impairment (PSCI) refers to a clinical syndrome that occurs after a stroke and meets the diagnostic criteria for cognitive impairment, lasting for more than 6 months, and seriously affecting the daily life of patients. The complement system has been confirmed to be associated with PSCI. This article reviews the correlation between complement system and PSCI, as well as the possibility of complement system as an intervention target for PSCI.

Presynaptic dopaminergic PET imaging is a useful method for the diagnosis of parkinsonism. Based on the expert consensus on operation and clinical application of dopamine transporter brain PET imaging technology published in 2020, this paper further recommends the relevant elements of result interpretation of presynaptic dopaminergic PET imaging.

Objective:To establish an intelligent registration algorithm under the framework of original-mirror alignment algorithm to construct three-dimensional (3D) facial midsagittal plane automatically. Dynamic Graph Registration Network (DGRNet) was established to realize the intelligent registration, in order to provide a reference for clinical digital design and analysis.Methods:Two hundred clinical patients without significant facial deformities were collected from October 2020 to October 2022 at Peking University School and Hospital of Stomatology. The DGRNet consists of constructing the feature vectors of key points in point original and mirror point clouds (X, Y), obtaining the correspondence of key points, and calculating the rotation and translation by singular value decomposition. Original and mirror point clouds were registrated and united. The principal component analysis (PCA) algorithm was used to obtain the DGRNet alignment midsagittal plane. The model was evaluated based on the coefficient of determination (R 2) index for the translation and rotation matrix of test set. The angle error was evaluated on the 3D facial midsagittal plane constructed by the DGRNet alignment midsagittal plane and the iterative closet point (ICP) alignment midsagittal plane for 50 cases of clinical facial data. Results:The average angle error of the DGRNet alignment midsagittal plane and ICP alignment midsagittal plane was 1.05°±0.56°, and the minimum angle error was only 0.13°. The successful detection rate was 78% (39/50) within 1.50° and 90% (45/50) within 2.00°.Conclusions:This study proposes a new solution for the construction of 3D facial midsagittal plane based on the DGRNet alignment method with intelligent registration, which can improve the efficiency and effectiveness of treatment to some extent.

Objective:To investigate the correlation between heart rate variability (HRV) and early neurological deterioration (END) and poor outcomes in patients with branch atheromatous disease (BAD).Methods:Patients with BAD admitted to the Department of Neurology, Weihai Municipal Hospital from September 2020 to September 2022 were enrolled prospectively. END was defined as an increase of ≥2 points in the total score of the National Institutes of Health Stroke scale (NIHSS) or an increase of ≥1 in motor item score within 72 h of admission compared with the baseline. Poor outcome was defined as the score of the modified Rankin Scale >2 at 6 months after the onset. Multivariate logistic regression analysis was used to determine whether HRV parameters were the independent influencing factors of END and poor outcomes in patients with BAD. Results:A total of 117 patients with BAD were enrolled, including 76 males (65.0%), aged 64.27±6.95 years. Thirty-eight patients (32.4%) had END, and 21 (17.9%) had poor outcomes. Percentage of the number of pairs of adjacent R-R intervals differentiating by more than 50 ms (pNN50), number of adjacent R-R intervals differentiating by more than 50 ms (NN50), power in low frequency range (LF) and power in high frequency range (HF) in the END group were significantly lower than those in the non-END group, and the LF/HF ratio was significantly higher than the non-END group (all P<0.05). The standard deviation of the R-R interval (SDNN), standard deviation of the average of R-R intervals in all 5-min segments (SDANN), and HF in the poor outcome group were significantly lower than those in the good outcome group. Multivariate logistic regression analysis showed that HF (odds ratio [ OR] 0.994, 95% confidence interval [ CI] 0.991-0.998; P<0.001) was an independent protective factor of END in patients with BAD, and LF/HF ratio ( OR 1.455, 95% CI 1.056-2.005; P=0.022) was an independent risk factor for END in patients with BAD; SDANN ( OR 0.997, 95% CI 0.993-0.999; P=0.023) was an independent protective factor of good outcomes in patients with BAD. Conclusion:HF and LF/HF ratios are the independent influencing factors of END in patients with BAD, and SDANN is an independent influencing factor of the poor outcomes in patients with BAD, suggesting that autonomic dysfunction is involved in the pathophysiological mechanism of END and poor outcomes in patients with BAD.

Objective:To explore the classification performance of combined model constructed from CT signs combined with radiomics for discriminating COVID-19 pneumonia and other viral pneumonia.Methods:The clinical and CT imaging data of 181 patients with viral pneumonia confirmed by reverse transcription-polymerase chain reaction in 15 hospitals of Yunnan Province from March 2015 to March 2020 were analyzed retrospectively. The 181 patients were divided into COVID-19 group (89 cases) and non-COVID-19 group (92 cases), which were further divided into training cohort (126 cases) and test cohort (55 cases) at a ratio of 7∶3 using random stratified sampling. The CT signs of pneumonia were determined and the radiomics features were extracted from the initial unenhanced chest CT images to build independent and combined models for predicting COVID-19 pneumonia. The diagnostic performance of the models were evaluated using receiver operating characteristic (ROC) analysis, continuous net reclassification index (NRI) calibration curve and decision curve analysis.Results:The combined models consisted of 3 significant CT signs and 14 selected radiomics features. For the radiomics model alone, the area under the ROC curve (AUC) were 0.904 (sensitivity was 85.5%, specificity was 84.4%, accuracy was 84.9%) in the training cohort and 0.866 (sensitivity was 77.8%, specificity was 78.6%, accuracy 78.2%) in the test cohort. After combining CT signs and radiomics features, AUC of the combined model for the training cohort was 0.956 (sensitivity was 91.9%, specificity was 85.9%, accuracy was 88.9%), while that for the test cohort was 0.943 (sensitivity was 88.9%, specificity was 85.7%, accuracy was 87.3%). The AUC values of the combined model and the radiomics model in the differentiation of COVID-19 group and the non-COVID-19 group were significantly different in the training cohort ( Z=-2.43, P=0.015), but difference had no statistical significance in the test cohort ( Z=-1.73, P=0.083), and further analysis using the NRI showed that the combined model in both the training cohort and the test cohort had a positive improvement ability compared with radiomics model alone (training cohort: continuous NRI 1.077, 95 %CI 0.783-1.370; test cohort: continuous NRI 1.421, 95 %CI 1.051-1.790). The calibration curve showed that the prediction probability of COVID-19 predicted by the combined model was in good agreement with the observed value in the training and test cohorts; the decision curve showed that a net benefit greater than 0.6 could be obtained when the threshold probability of the combined model was 0-0.75. Conclusion:The combination of CT signs and radiomics might be a potential method for distinguishing COVID-19 and other viral pneumonia with good performance.

Objective:By analyzing the clinical and pathologic manifestations of systemic mastocytosis (SM) to improve the recognition of the disease.Methods:Clinical manifestations, diagnosis and treatment of a middle-aged male patient with SM was reported with multidisciplinary discussions.Results:A middle-aged man with bone pain, thyroid nodules and lymphadenectasis came to our clinic. Thyroid cancer with lymph node and bone metastasis was suspected by imaging examination. The pathological results showed cell proliferation with transparent cytoplasm and irregular nuclear in the trabecular bone. Toluidine blue staining showed the proliferated cells were mast cells(+). Immunohistochemistry showed proliferating mast cells stained with CD117 and CD2. SM with extensive bone marrow involvement was diagnosed and treated with thalidomide and calcitriol.Conclusion:Knowing the characteristics of SM is helpful for accurate diagnosis and treatment.

Objective To evaluate the clinical value of Fluorine-18-fluorodeoxyglucose (18F-FDG) positron-emission temography-computed tomography (PET-CT) examination in intrahepatic cholangiocarcinoma (ICC) staging.Methods The retrospective cross-sectional study was conducted.The clinicopathological data of 190 patients with ICC who were admitted to the Eastern Hepatobiliary Surgery Hospital Affiliated to Naval Military Medical University from September 2013 to June 2016 were collected.There were 107 males and 83 females,aged from 37 to 79 years,with an average age of 57 years.There were 90 cases without distant metastasis undergoing surgery treatment and 100 with distant metastasis undergoing non-surgical treatment.Patients underwent preoperative CT,magnetic resonance imaging (MRI),and PET-CT examination,and then received surgery or non-surgery according to preference of patients and their family members.Observation indicators:(1) imaging features on preoperative CT,MRI,PET-CT examination;(2) treatment;(3) evaluation of tumor diameter,multiple tumors,macrovascular invasion,and bile duct invasion by three examinations in ICC staging of patients undergoing operation;(4) evaluation of regional lymph node metastasis by three tests in ICC staging of patients undergoing operation;(5) evaluation of distant metastasis in ICC staging by three tests.Measurement data with normal distribution were represented as Mean±SD,and comparison between groups was analyzed by single factor ANOVA and paired comparison was analyzed by SNK method.Measurement data with skewed distribution were described as M (range).Count data were described as absolute number or percentage,and comparison between groups was analyzed using the chi square test.Results (1) Imaging features on preoperative CT,MRI,PET-CT examination:all the 190 patients received routine upper abdominal CT,MRI,and systemic PET-CT examination before treatment.CT imaging of ICC showed inhomogeneous low density on plain scan,peripheral enhancement in arterial phase,persistent enhancement of tumor margin in portal phase,and sometimes mild to moderate centripetal enhancement.MRI imaging showed heterogeneous low signal on T1-weighted imaging,uneven high,and slightly high signal on T2-weighted imaging.Reinforcement on MRI is the same as CT.Transverse images,fusion transverse images and maximum intensity projection images of PET-CT imaging showed abnormal high FDG uptake around the tumor.(2) Treatment:81 out of the 90 ICC patients with surgery treatment underwent hepatectomy and lymphadenectomy,and 9 underwent only tumor tissue biopsy and lymph node biopsy due to intraoperative finding of abdominal metastasis.Of the 100 non-operated patients,30 received systemic chemotherapy,23 received local radiotherapy,and 47 gave up treatment.(3) Evaluation of tumor diameter,multiple tumors,macrovascular invasion,and bile duct invasion by three examinations in ICC staging of patients undergoing operation:the tumor diameters of ICC on CT,MRI and PET-CT were (6.8±2.8)cm,(6.9±2.9)cm,(7.2±2.8)cm,respectively.There was no significant difference among the three methods (F=0.085,P＞0.05).CT,MRI,PET-CT had similar accuracy of 80.0％ (72/90),78.9％ (71/90),72.2％ (65/90) on diagnosing multiple tumors,87.8％(79/90),92.2％ (83/90),94.4％ (85/90) for macrovascular invasion,and 93.3％ (84/90),95.6％ (86/90),96.7％ (87/90) for vascular and bile duct invasion,respectively,there was no significant difference in the above indicators between the three groups (x2 =1.801,2.662,1.131,P＞0.05).(4) Evaluation of regional lymph node metastasis by three examinations in ICC staging of patients undergoing operation:the accuracy of CT,MRI and PET-CT examination for lymph node metastasis was 62.2％ (56/90),68.9％(62/90),86.7％ (78/90) and sensitivity was 40.0％ (16/40),47.5％ (19/40),80.0％ (32/40),respectively,showing significant differences between the three groups (x2 =14.446,14.666,P＜0.05),showing a significant difference between CT and PET-CT examination (x2=14.134,13.333,P＜0.05),showing a significant difference between MRI and PET-CT examination (x2=8.229,9.141,P＜0.05).The sensitivity of CT,MRI and PET-CT examination for lymph node metastasis was 80.0％ (40/50),86.0％ (43/50),92.0％ (46/50),showing no significant difference between the three groups (x2=2.990,P＞0.05).(5) Evaluation of distant metastasis in ICC staging by three tests:there were 27,34 and 100 cases with distant metastasis evaluated by CT,MRI and PET-CT examination,including 40 with supraclavicular lymph node metastasis,32 with bone metastasis,30 with mediastinal lymph node metastasis,20 with hilar lymph node metastasis,17 with pulmonary metastasis;77 patients had more than 2 sites of metastasis.The accuracy of CT,MRI and PET-CT examination for distal metastasis in 190 ICC patients was 61.58％ (117/190),65.26％ (124/190),98.42％ (187/190),respectively,with a significant difference between the three groups (x2=83.639,P＜0.05),with a significant difference between CT and PET-CT examination (x2=80.592,P＜0.05),between MRI and PET-CT examination (x2=70.284,P＜ 0.05).Conclusion PET-CT examination makes up for the deficiency of CT and MRI in judging regional lymph node metastasis and distant metastasis,and contributes to the clinical staging of ICC.

Objective To develop a model of malignant risk prediction of solitary pulmonary nodules(SPN) with the metabolic characteristics of the lesion.Methods A total of 362 patients (291 malignant cases and 71 benign cases;194 males,168 females;median age:61 years) who underwent PET/CT imaging from January 2013 to July 2017 were analyzed.The diagnosis of malignant SPN was based on pathological results,and that of benign SPN was based on pathological or follow-up results.Differences of clinical/imaging characteristics in patients with benign and those with malignant SPN were analyzed.Risk factors were screened by multivariate non-conditional logistic regression analysis.The self-verification of the model was done by the receiver operating characteristic (ROC) curve analysis,out-of-group verification was performed by k-fold cross-validation.Results There were statistically significant differences in age,maximum standardized uptake value (SUVmax),size,lobulation,spiculation,pleural traction,vessel connection,calcification,vacuole,and emphysema between patients with benign and malignant nodules (all P＜0.05).The risk factors for malignant nodules included age,SUVmax,size,lobulation,calcification and vacuole.The odds ratio (OR) values (95％ CI) were 1.040(1.007-1.075),1.612(1.287-2.017),1.149(1.074-1.230),4.650(2.138-10.115),0.216(0.085-0.548),and 3.043(1.302-7.111),respectively.The logistic regression model was as follows:P=1/(1+e-x),x=-5.583+0.039×age+0.477×SUVmaxx+0.139×size+1.537×lobulation-1.532×calcification+ 1.1 13×vacuole.The estimated area under the curve (AUC) for the model was 0.915(95％ CI:0.883-0.947),sensitivity was 89.7％,specificity was 78.9％.K-fold cross-validation showed that the training accuracy was 0.899±0.011,the predictive accuracy was 0.873±0.053.Conclusions The risk factors for malignant nodules included age,SUVmax,size,lobulation,calcification and vacuole.After verification,the model has a satisfactory accuracy.It may help clinics make accurate decisions.

OBJECTIVETo observe the clinical effects of acupuncture combined with auricular point sticking based on the western medication for post stroke depression (PSD).

METHODSSixty patients with PSD were randomly assigned into an acupuncture plus auricular application group (a combination group) and a medication group, 30 cases in each one. 20 mg paroxetine hydrochloride was prescribed orally in the medication group, once a day for continuous 8 weeks. Based on the above treatment, 30-minute acupuncture was used in the combination group for 8 weeks at Baihui (GV 20), Sishencong (EX-HN 1), Shenting (GV 24), Yintang (GV 29), Shenmen (HT 7), Neiguan (PC 6), Taichong (LR 3), Hegu (LI 4), Zusanli (ST 36), Sanyinjiao (SP 6) and Fenglong (ST 40), once the other day and three times a week. Auricular point sticking therapy for 8 weeks was applied at shenmen (TF), pizhixia (AT), xin (CO), and gan (CO), with pressing 3 times a day and once 3-5 days. The total score and each factor scores of Hamilton's depression scale (HAMD) were observed in the two groups before and after treatment, and Asberg's antidepressant side-effect rating scale (SERS) and clinical effect were evaluated.

RESULTSAfter treatment, the total HAMD scores of the two groups decreased compared with those before treatment (both<0.05), with better effect in the combination group (<0.05). The scores of the combination group after treatment were lower than those in the medication group, including the anxiety/somatization factor, sleep disturbance factor, hopelessness factor (all<0.05). The total effective rate of the combination group was 86.7% (26/30), which was better than 66.7% (20/30) of the medication group (<0.05). The SERS score of the combination group was lower than that of the medication group (<0.05).

CONCLUSIONSAcupuncture combined with auricular point sticking can improve the clinical symptoms and are effective and safe for PSD.