[Diagnostic value of Gd-EOB-DTPA-enhanced MRI radiomics models for dual-phenotype hepatocellular carcinoma].

Objective: To develop and validate clinical and radiomics models based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced MRI of dual-phenotype hepatocellular carcinoma (DPHCC) for preoperative differential diagnosis. Methods: Two hundred and fifty inpatients of hepatocellular carcinoma (HCC) confirmed by postoperative pathology, who underwent Gd-EOB-DTPA-enhanced MRI were retrospectively included. A total of 172 inpatients (72 DPHCC and 100 non-DPHCC) were included in Institution 1 (the First Affiliated Hospital of Soochow University) as a training cohort (between January 2020 and July 2023) and 78 inpatients (44 DPHCC and 34 non-DPHCC) were included in Institution 2 (the Third People's Hospital of Nantong) as an external validation cohort(between January 2019 and July 2023). The regions of interest of the tumor were delineated layer by layer in noncontrast phase, arterial phase (AP), portal venous phase (PP) and hepatobiliary phase (HBP) images. The software of FAE was used to extract the radiomics features of the images. Pearson correlation analysis and recursive feature elimination were used for feature selection. Each phase and combined radiomics models were established using logistic regression, linear discriminant analysis and support vector machine. Receiver operating characteristic curve and the areas under the curve (AUC) were used to evaluate and select the dominant radiomics model. The dominant radiomics model was combined with clinically independent predictors to construct a clinical radiomics model. Delong test was used to compare the performance of the models. Results: The age of the training cohort was (59.6±10.4) years, in which there were 135 men (78.5%). In the external validation cohort, the age was (57.8±9.2) years, including 56 men (71.8%). The maximum diameters of the lesions [M (Q1, Q3), 4.7 (2.6, 7.5) vs 2.7 (1.8, 4.4) cm, P<0.001] and the proportion of the multiple lesions (39.5% vs 16.7%, P<0.001) in the training cohort were higher than those in the external validation cohort. In the training group, the proportion of patients with hepatitis B virus (HBV) infection in the DPHCC subgroup (66.7%,48/172) was higher than that in non-DPHCC subgroup (49.0%,49/78,P=0.021). In the external validation cohort, the AUC (95%CI) of the PP [0.835 (0.733-0.937)] and combined radiomics models [0.786 (0.681-0.891)] were significantly higher than that of noncontrast phase [0.451 (0.319-0.584)], AP [0.566 (0.435-0.696)] and HBP models [0.496 (0.363-0.629)] (all P<0.05). There was no significant difference in AUC between PP radiomics model and combined radiomics model (P=0.189). The AUC between the radiomics models and clinical-radiomics models, which were brought into clinically independent variable HBV, showed no significant difference (all P>0.05). Conclusion: Gd-EOB-DTPA-enhanced MRI radiomics model based on portal venous phase may be available for discriminating DPHCC from non-DPHCC before operation.

[Arterial spin labeling in assessment of interstitial fibrosis in renal allografts].

Objective: To explore the feasibility and application value of arterial spin labeling (ASL) in evaluating the degree of renal fibrosis after kidney transplantation. Methods: This is a cross-sectional study. Renal transplant recipients who received treatment at the First Affiliated Hospital of Soochow University from December 2021 to December 2022 were enrolled. All participants underwent ASL scan, and the values of renal cortical renal blood flow (RBF) were measured through post-processing software. The participants were divided into different groups according to the Banff interstitial fibrosis score (ci score) of the transplanted kidneys, and then relevant indicators were compared. One-way analysis of variance was conducted to compare the differences in renal cortical RBF among the groups. Spearman correlation analysis was employed to investigate the association between renal cortical RBF and ci score of the transplanted kidney. Receiver operating characteristic curve was used to analyze the diagnostic effectiveness of renal cortical RBF and laboratory indicators for distinguishing varying degrees of fibrosis in transplanted kidneys. The Delong test was utilized to compare the area under the curve (AUC). Results: A total of 60 patients (42 males and 18 females) were included in the study, with a mean age of (44.6±10.8) years. All patients were divided into 4 groups: ci0 group (ci score=0, 11 cases), ci1 group (ci score=1, 21 cases), ci2 group (ci score=2, 20 cases), and ci3 group (ci score=3, 8 cases). With an increase in the degree of fibrosis in the transplanted kidney, there was a corresponding decrease in the renal cortical RBF value. The differences in renal cortical RBF values among the 4 groups were statistically significant[ci0 group: (214.9±28.5) ml·(100 g)-1·min-1; ci1 group: (181.7±29.3) ml·(100 g)-1·min-1; ci2 group: (158.8±39.2) ml·(100 g)-1·min-1; ci3 group: (123.1±27.2) ml·(100 g)-1·min-1; F=14.02, P<0.001]. The renal cortical RBF was moderately negatively correlated with the ci score (r=-0.644, P<0.001). The AUC for discriminating between ci0 and ci1-3 of renal cortical RBF and 24-hour urine protein was 0.881 (95%CI: 0.772-0.950) and 0.680 (95%CI: 0.547-0.795), respectively. The AUC for renal cortical RBF was significantly higher than that for 24-hour urine protein (P=0.047). The renal cortical RBF can distinguish between ci0-1 and ci2-3, as well as ci0-2 and ci3, with the corresponding AUC value of 0.796 (95%CI: 0.673-0.889) and 0.900 (95%CI: 0.795-0.963), respectively. Conclusion: ASL can quantitatively assess renal blood perfusion in transplanted kidneys and demonstrates high operational efficacy in distinguishing varying degrees of fibrosis in the transplanted kidneys.

[Clinical and genetics characteristics of adult-onset cerebrotendinous xanthomatosis: analysis of a Chinese pedigree].

Objective: Clinical manifestations, imaging findings, pathologic features, and genetic mutations of Chinese adult patients with cerebrotendinous xanthomatosis (CTX) were analyzed in order to achieve a greater understanding of CTX that can improve early detection, diagnosis, and treatment. Methods: Clinical data including medical history, neurologic and auxiliary examinations, imaging findings, and genetic profile were collected for an adult patient with CTX admitted to the Sixth Medical Center of Chinese People's Liberation Army General Hospital in August 2020. Additionally, a systematic review of genetically diagnosed Chinese adult CTX cases reported in major databases in China and other countries was performed and age of onset, first symptoms, common signs and symptoms, pathologic findings, imaging changes, and gene mutations were analyzed. Results: The proband was a 39-year-old female with extensive, early-onset nervous system manifestations including cognitive dysfunction and ataxia. Systemic lesions included juvenile cataract and a tendon mass. Cranial magnetic resonance imaging revealed cerebral atrophy, symmetric white matter changes predominantly in the pyramidal tract, and lesions in the cerebellar dentate nucleus. A novel homozygous mutation in the sterol-27-hydroxylase (CYP27A1) gene (c.1477-2A>C) was identified. There were no family members with similar clinical presentation although some were carriers of the c.1477-2A>C mutation. The patient showed a good response to deoxycholic acid treatment. Totally there were 56 cases of adult CTX patients in China, mostly in East China (31/56, 55.4%), at a male-to-female ratio of 1.8 to 1. Multiple organs and tissues including nervous system, tendon, lens, lung, and skeletal muscle were affected in these cases. The most common neurologic manifestations were cognitive dysfunction (44/52, 84.6%) and ataxia (44/51, 86.3%). The cases were characterized by early onset, chronic progressive damage of multiple systems, long disease course, and delayed diagnosis, making the disease difficult to manage clinically and resulting in poor prognosis. The 2 most common genetic mutations in Chinese adult CTX patients were c.1263+1G>A and c.379C>T. Exon 2 of the CYP27A1 gene was identified as a mutation hot spot. Conclusions: Chinese adult patients with CTX have complex clinical characteristics, a long diagnostic cycle, and various CYP27A1 gene mutations. Early diagnosis and intervention can improve the prognosis of these patients.

[The application value of Gd-EOB-DTPA enhanced MRI based radiomics in the differential diagnosis of iso-or hyperintensity HCC and focal nodular hyperplasia in hepatobiliary phase].

Objective: To investigate the application value of Gd-EOB-DTPA enhanced MRI based radiomics model in the differential diagnosis of iso-or hyperintensity HCC and focal nodular hyperplasia (FNH) in hepatobiliary phase. Methods: A total of 88 patients with HCC or FNH confirmed by surgical or puncture pathology who underwent preoperative Gd-EOB-DTPA enhanced MRI (all lesions showed iso-or hyperintensity in hepatobiliary phase) between January 2015 and February 2023 in The First Affiliated Hospital of Soochow University and Nantong No.3 People's Hospital were retrospectively evaluated, which including 58 males and 30 females, aged [M(Q1, Q3)]56 (40, 67) years, including 61 patients with HCC and 27 patients with FNH. The included cases were divided into training (43 cases of HCC, 19 cases of FNH) and validation cohort (18 cases of HCC, 8 cases of FNH) in the ratio of 7∶3 using the random seeding method. A total of 1 781 radiomics features were extracted from Gd-EOB-DTPA enhanced MRI in the arterial, portal and hepatobiliary phases, respectively. The independent three phase models, combined three phases model and combined clinical-radiomics model was established using Auto-Encoder (AE) and Native Bayes (NB) classifier, respectively. The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic performance of these models. DeLong test was used to compare the areas under curve (AUC). Results: In the validation cohort, the combined clinical-radiomics model had the highest AUC (AUC=0.938, 95%CI: 0.828-1.000). The AUC, accuracy, sensitivity, specificity of the clinical-radiomics combined model using AE classifier in the validation cohort were 0.896 (95%CI: 0.760-1.000), 88.5%, 88.9%, 87.5%. The AUC of the clinical-radiomics combined model using NB classifier in the validation cohort were 0.938 (95%CI: 0.828-1.000), 92.3%, 88.9%, 100.0%. Conclusion: Gd-EOB-DTPA enhanced MRI combined clinical-radiomics model has certain value in preoperative differentiation of iso-or hyperintensity in the hepatobiliary phase HCC and FNH, with a high accuracy, sensitivity and specificity.

[A comparison of current guidelines for the management of intrahepatic cholangiocarcinoma worldwide].

Intrahepatic cholangiocarcinoma (ICC) is the second most common human liver malignancy and its incidence rate has been gradually increasing worldwide over the past decades. Surgical resection (R0 resection) is the preferred potentially curative treatment for ICC patients. However, due to its conceal clinical features and high invasiveness, most patients have lost the opportunity for surgical resection at the time of diagnosis. In recent years, with the rapid development of targeted therapy and immunotherapy, which is represented by immune checkpoint inhibitors, clinicians are expected to provide more effective treatment options for patients with mid-stage or advanced ICC. At present, there are still controversial opinions on different guidelines regarding preoperative biliary drainage, the extent of hepatectomy, the definition of R0 resection, the width of the resection margin, lymph node dissection, postoperative recurrence, adjuvant therapy, etc. In this review, 12 guidelines or expert consensus published worldwide from 2012 to 2022 (including 4 Chinese guidelines, 4 European guidelines, 2 American guidelines and 2 Japanese guidelines) were retrieved. Focusing on sorting and comparing the current views on clinical management of ICC in different guidelines, this review aims to provide reference information for ICC clinical management and decision-making.

[Morvan syndrome with positive anti LGI1/CASPR2 antibodies in serum/cerebrospinal fluid:a case report and literature review].

To report a typical case of Morvan syndrome with positive anti-leucine rich glioma-inactivated 1(LGI1) and contactin-associated protein 2 (CASPR2) antibodies in serum and cerebrospinal fluid. A 39-years-old female initially presented weakness of extremeties. The main symptoms included paroxysmal limb pain, wheezing, itching, muscle twitching, epilepsy, hypomnesia, dysphoria, apathy, intractable insomnia, salivation and sweating. Tests of electrolytes found hypokalemia (2.7-3.1 mmol/L) and hyponatremia (130-136 mmol/L). Arterial blood gas analysis showed hypoxemia (oxygen saturation 50%-70%). Total thyroxine (TT4) was elevated to 207 nmol/L with positive thyroid peroxidase antibody (TPO-Ab) and thyroglobulin antibody (TG-Ab). LGI1and CASPR2 antibodies (CBA method) were positive in both serum and cerebrospinal fluid, and the remaining antibodies related to autoimmune encephalitis and paraneoplastic syndrome were negative. Head MRI was almost normal, while mild abnormalities were found in electroencephalogram. Electromyography showed slightly increased voltage of left quadriceps motor unit potential. After treated with corticosteroids, IVIG and mycophenolate mofetil, the patient completely improved. Cognitive function scores recovered from MoCA/MMSE (16/24) to MoCA/MMSE (26/29). Positivity of LGI1/CASPR2 antibodies both in serum/cerebrospinal fluid are rarely seen in patients with Morvan syndrome. Steroids and immunosuppressants are suggested for treatment as early as possible.

[The prediction value of enhanced magnetic resonance imaging nomogram model for dual phenotype hepatocellular carcinoma].

Objective: To explore the value of enhanced magnetic resonance imaging nomogram model in the prediction of dual-phenotype hepatocellular carcinoma(DPHCC). Methods: Data of 116 patients of hepatocellular carcinoma (HCC) confirmed by postoperative pathology, who underwent preoperative enhanced MRI between January 2016 and March 2021 in the First Affiliated Hospital of Soochow University were retrospectively evaluated, of these, there are 87 males and 28 females, aged 30-79 (59±10) years, including 31 patients with DPHCC and 85 patients with non-DPHCC. The patients were randomly divided into training set(51 cases of non-DPHCC,19 cases of DPHCC)and validation set(34 cases of non-DPHCC, 12 cases of DPHCC) in a ratio of 6∶4, according to random number table,clinical and imaging characteristics of the two groups were compared. The statistically significant parameters were included in multivariate logistic regression to identify the independent predictors and for the establishment of the nomogram model. The receiver operating characteristic curves were used to evaluate the prediction ability of the models, the corrected curve was used to validate the model. Results: In the training group, the proportions of rim arterial phase hyperenhancement in the DPHCC was significantly higher than that of the non-DPHCC [47.4%(9/19)vs 7.8%(4/51),P<0.001]. Rim arterial phase hyper-enhancement and enhanced capsule were significant predictors for DPHCC[OR=10.17(1.70-60.80),0.17(0.03-0.93),all P<0.05]. In the training group, the area under curve (AUC), sensitivity and specificity of the nomogram were 0.888 (95%CI: 0.806-0.969), 78.9% and 86.3%. In the validation group, the above three indicators were 0.811(95%CI: 0.655-0.968), 75.0% and 82.4%. Conclusion: Enhanced MRI nomogram model has certain value in prediction of DPHCC, with high sensitivity and specificity.

CT-based radiomics model to distinguish necrotic hepatocellular carcinoma from pyogenic liver abscess.

AIM: To investigate the feasibility of a computed tomography (CT)-based radiomics model in distinguishing necrotic hepatocellular carcinoma (nHCC) from pyogenic liver abscess (PLA). MATERIAL AND METHODS: One hundred-four enrolled patients with nHCC (n=56) and PLA (n=48) were divided randomly into a training cohort (n=62) and validation cohort (n=42). ROI (region of interest) of the wall (ROI-wall) and ROI of the necrotic cavity (ROI-necrotic cavity) of the lesion were delineated from each arterial phase (AP) and portal venous phase (PP) image. The least absolute shrinkage and the selection operator logistic regression method was used to select radiomics features, and radiomics scores (R-scores) were calculated. Four radiomics models, including R-score (ROI-wall) in the AP, R-score (ROI-necrotic cavity) in the AP, R-score (ROI-wall) in the PP and R-score (ROI-necrotic cavity) in the PP, were constructed and evaluated by area under the curve (AUC) of receiver operating characteristic curve. RESULTS: The AUCs of R-score (ROI-wall) in the AP, R-score (ROI-necrotic cavity) in the AP, R-score (ROI-wall) in the PP, and R-score (ROI-necrotic cavity) in the PP were 0.935 and 0.917, 0.906 and 0.824, 0.985 and 0.928, 0.899 and 0.850, in the training and validation cohorts, respectively. In the training cohort, the AUC of R-score (ROI-wall) in the PP was higher than that of R-score (ROI-wall) in the AP (p=0.024) or R-score (ROI-necrotic cavity) in the AP (p=0.046) or R-score (ROI-necrotic cavity) in the PP (p=0.044). CONCLUSION: CT-based radiomics models can be used to distinguish nHCC from PLA.

[Measurement and evaluation of the quadriceps muscle mass in young men based on magnetic resonance imaging].

OBJECTIVE: To investigate the correlation between the quadriceps cross-sectional area (CSA) and quadriceps muscle volume (QMV) at different horizontal levels from the upper edge of the patella, and to determine the best observation position. METHODS: Thigh magnetic resonance imaging (MRI) images of 22 Chinese young men [age: (29±6) years] with anterior cruciate ligament (ACL) rupture were examined. The CSA was measured at 18, 15, and 12 cm above the upper edge of the pate-lla (denoted by CSA-18, CSA-15 and CSA-12 respectively), and the QMV and CSA were determined by semiautomatic segmentation. A curve model was established to estimate QMV. Bland-Altman analysis was performed to determine the confidence limits of the volumes. RESULTS: On the unaffected side, the mean QMV was (1 944.45±323.77) cm3. The quadriceps CSA at the upper edge of the patella at 18, 15, and 12 cm was (80.80±12.16) cm2, (77.53±12.03) cm2, and (72.68±10.51) cm2, respectively. The coefficients of determination (R2), ascertained using curve estimation models, for the 3 positions were 0.819, 0.755, and 0.684 (P < 0.001), and the standard deviations of the volume estimated value (SEE) were 7.4%, 8.7%, and 9.8%. The fitting equations of the three horizontal positions were all good, but the fitting degree of CSA-18 was the highest. The Bland-Altman scatter plot showed that the arithmetic means of the QMV at 18, 15 and 12 cm from the upper edge of the patella 0.8 cm3, -1.1 cm3, and 0.9 cm3 and 95% limits of agreement (LoA) were (-268.8, 270.5), (-315.2, 313.1), and (-355.7, 357.5), respectively. The estimated QMV was in good agreement with the measured value. The difference between the estimated CSA-18 and measured values was the smallest. The results on the affected side were consistent. CONCLUSION: The correlation between QMV and CSA in the young men with the upper edge of patella as baseline was reliable and consistent. Among them, CSA-18 had the highest correlation with the QMV. However, different observation sites could be selected for different injuries of the quadriceps.

[Systemic anti-inflammation is the key for the treat-to-target in severe immune-related skin disorders].

Immune-related skin disorders (inflammatory skin diseases and autoimmune diseases) are important diseases in dermatology. Systemic inflammation is the fundamental cause that makes these diseases difficult to control and easy to relapse. The treatment pattern of rheumatic immune diseases could be used as a reference to reach the treat-to-target (T2T) of severe immune/inflammatory skin disorders, thus to reduce systemic inflammatory damage, to effectively control symptoms in the long term, to improve the quality of life, and to help patients back to normal study/work/life status.

[Value of the application of enhanced CT radiomics and machine learning in preoperative prediction of microvascular invasion in hepatocellular carcinoma].

Objective: To explore the value of machine learning models in preoperative prediction of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) based on dual-phase contrast-enhanced CT radiomics features. Methods: The data of 148 patients [106 males and 42 females, with an average age of (58±11) years] with HCC confirmed by pathology in the First Affiliated Hospital of Soochow University from January 2015 to May 2020 were retrospectively analyzed, including 88 cases of positive MVI and 60 cases of negative MVI. According to the ratio of 7∶3, the patients were randomly divided into the training and validation sets, respectively. The three-dimensional (3D) radiomics features of HCC in arterial phase (AP) and portal venous phase (PP) were extracted by MaZda software, and the optimal feature subset was obtained by combining three feature selection methods (FPM method) and Lasso regression. Then, six machine learning methods were used to build the prediction models. Receiver operating characteristic (ROC) curves were drawn to evaluate the prediction ability of the aforementioned models, and the area under the curve (AUC), accuracy, sensitivity and specificity were calculated. Results: Radiomics features of HCC in AP and PP were extracted by MaZda software, with 239 in each phase. There were 7 optimal features in AP and 14 optimal features in PP selected by FPM method and Lasso regression, respectively. The AUCs of decision tree, extreme gradient boosting, random forest, support vector machine (SVM), generalized linear model, and neural network based on the 7 optimal features in AP in the validation set were 0.736, 0.910, 0.913, 0.915, 0.897, 0.648, respectively. The SVM had the highest AUC in the validation set, with the accuracy, sensitivity and specificity of 95.35%, 95.83% and 94.74%, respectively. Likewise, the AUCs of machine learning models in prediction of MVI in HCC based on the 14 optimal features in PP in the validation set were 0.873, 0.876, 0.913, 0.859, 0.877, 0.834, respectively, and there were no significant differences (all P>0.05). The random forest had the highest AUC in the validation set, with the accuracy, sensitivity and specificity of 90.70%, 87.50% and 94.74%, respectively. Conclusion: Machine learning models based on dual-phase enhanced CT radiomics features can be used in preoperative prediction of MVI in HCC, particularly the SVM and random forest models have high prediction efficiency.

[Establishment of high-fat diet-induced obesity and insulin resistance model in rats].

OBJECTIVE: To investigate the appropriate conditions and duration for establishing a high-fat diet-induced obesity and insulin resistance model in rats. METHODS: Forty-five 6-week-old male Sprague-Dawley (SD) rats were randomly assigned into 2 groups: (1) control group (CON), (2) high-fat diet group (HFD). HFD was fed with a high-fat diet (45% kcal from fat) while CON with chow diet. After four-weeks of high-fat diet feeding, the rats of obesity resistance (OR) were eliminated according to body weight sorting, whereas obese (OB) rats were continued feeding a high-fat diet until 12 weeks. Body weight and food intake were recorded weekly. Glucose tolerance was evaluated by oral glucose tolerance test (OGTT) in 4 weeks, 8 weeks and 12 weeks. At the end of 12 weeks, insulin releasing test and visceral fat mass were measured and HE staining of the liver, adipose tissue and pancreatic tissue were conducted. RESULTS: After 4 weeks of a high-fat diet, the body weight of HFD was 17.8% higher than that of CON (P=0.001), and the rate of obesity was 67.6%-78.4%. Glucose tolerance of OB rats was impaired with a higher blood glucose concentration at 120 min (P<0.001) and a higher area under the curve (AUC, P=0.037) in OGTT compared with CON. The rate of obesity and insulin-resistance rats was 79.3%. After 8 weeks of feeding, the body weight in OB was 30.4% higher than CON (P<0.001). In OGTT, blood glucose levels at 60 min and 120 min were 35.6% and 36.4% higher than those in CON (both P<0.001), and AUC was 21.7% (P<0.001) higher than that of CON. The rate of obesity and insulin-resistance rats was 100.0%. After 12 weeks of feeding, the body weight in OB was 36.9% higher than that in CON (P<0.001). In OGTT, the blood glucose levels at 60 min and 120 min were 24.8% (P=0.001) and 34.6% (P<0.001) higher than those in CON, and AUC was 16.1% (P=0.019) higher than that of CON. The rate of obesity and insulin-resistance rats was 93.3%. The insulin releasing test showed that serum insulin concentration at each time point (0, 30, 60, 120 min) was higher than that in CON, with a 6.3-times higher than that in CON at 120 min (P=0.008). Pathological changes were observed in islets and liver in the OB rats. CONCLUSION: After 4 weeks of a high-fat diet (45% kcal from fat) feeding in six-weeks SD rats, the rats of OR were eliminated. Impaired glucose tolerance was found in OB rats after 4 weeks of feeding, and the rate was higher after 8-12 weeks of high-fat diet feeding.

[The value of CT radiomics in the prediction of EGFR mutation in lung cancer].

Objective: To explore the value of CT radiomics quantitative features in the prediction of epidermal growth factor receptor (EGFR) mutation in lung cancer. Methods: The data of 144 patients, 75 males, 69 females, median age 54 (25-68 years), with EGFR gene test results in lung cancers diagnosed in the First Affiliated Hospital of Soochow University were retrospectively analyzed, including 81 patients, 39 males, 42 females, median age 52 (25-64)years old, with EGFR mutations and 63 patients,36 males,27 females,median age 56(32-68) years old,with EGFR wild types. According to a ratio of 2︰1, patients were randomly assigned to the training group and validation group. MaZda software was used to extract radiomics features including the gray level histogram (GLH), absolute gradient (GRA), gray-level co-occurrence matrix (GLCM), gray-level run-length matrix (GLRLM), auto-regressive model (ARM) and wavelets transform (WAV), and so on. Fisher coefficients (Fisher), classification error probability combined average correlation coefficients (POE+ACC) and mutual information (MI) were used to select 10 optimal features making up the optimal feature subsets. The optimal feature subsets were analyzed by using linear discriminant analysis (LDA) and nonlinear discriminant analysis (NDA) to calculate the accuracy, sensitivity and specificity in the differential diagnosis of EGFR mutant types and wild types in lung cancers. The prediction model was established using the optimal feature subsets with the highest accuracy in the training group with artificial neural network (ANN). The established prediction model was used to differentiate EGFR mutant types from wild types in the validation group. Results: MaZda software extracted a total of 301 quantitative features in the CT images for the patients with EGFR mutant types and EGFR wild types in the training group. The optimal feature subsets obtained from Fisher-NDA and (POE+ACC)-NDA had the highest accuracy of 93.8%, in the differential diagnosis of the EGFR mutant types and EGFR wild types of lung cancer in the training group. The optimal feature subset prediction model obtained from Fisher-NDA had the accuracy, sensitivity and specificity of 83.3%, 86.7% and 77.8%, respectively, in the differential diagnosis of the EGFR mutant types and EGFR wild types of lung cancer in the validation group. Conclusion: The optimal subset of CT radiomics features has high accuracy in predicting EGFR mutations in lung cancer, providing a new method for predicting gene expression of lung cancer.

[The predictive value of gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid enhanced MRI imaging features combined with quantitative parameters for the pathologic grading of hepatocellular carcinoma].

Objective: To investigate the predictive value of gadolinium-ethoxybenzyl- diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) enhanced MRI imaging features combined with quantitative parameters for the pathologic grading of hepatocellular carcinoma (HCC). Methods: Eighty patients (65 males, 15 females; range 30-74 years,average age (59±11) years old) with HCC who underwent curative resection or biopsy from June 2016 to June 2019 in the First Affiliated Hospital of Soochow University after Gd-EOB-DTPA-enhanced MRI were evaluated retrospectively.According to the pathological results of the postoperative pathology, eighty patients were divided into poorly differentiated group (26 cases, 22 males, 4 females) and moderately-well differentiated group (54 cases, 43 males, 11 females). In Gd-EOB-DTPA-enhanced MRI, qualitative parameters were assessed. Quantitative parameters including tumor size, tumor-to-liver signal intensity ratio(SIR) of arterial phase (AP), portal vein phase (PP), equilibrium phase (EP) and hepatobiliary phase (HBP), contrast enhancement ration AP (CER-AP)were measured and calculated. Clinical data and qualitative parameters between poorly differentiated group and moderately-well differentiated group were analyzed by using χ(2) test.Quantitative parameters were analyzed by using independent sample t test. Statistically significant qualitative parameters, quantitative parameters, qualitative combined with quantitative parameters and AFP combined with qualitative and quantitative parameters were included in binary logistic regression model. The receiver operating characteristic (ROC) curves were used to evaluate the diagnostic performance of the four prediction model for the pathologic grading of HCC. Results: There was a statistical difference between poorly differentiated group and moderately-well differentiated group in AFP, arterial peritumoral enhancement, arterial rim enhancement, peritumoral hypointensity on HBP and tumor signal (all P<0.05). In two groups, tumor size, SIR-AP and SIR-PP were (7.0±3.7) vs (3.9±2.4)cm,1.11±0.29 vs 1.31±0.32 and 0.89±0.21 vs 1.03±0.27 (all P<0.05). AUC of qualitative parameters, quantitative parameters, qualitative combined with quantitative parameters and AFP combined with qualitative and quantitative parameters were 0.805, 0.804, 0.855, 0.892.There was a statistical difference between qualitative parameters and qualitative combined with quantitative parameters in sensitivity(80.8% vs 92.3%, P<0.05). Conclusion: Gd-EOB-DTPA-enhanced MRI imaging features combined with quantitative parameters can be used to predict the pathologic grading of HCC preoperatively, which has a great applicative value.

[Consideration and prevention of the aerosol transmission of 2019 novel coronavirus].

This article was published ahead of print on the official website of Chinese Journal of Ophthalmology on March 14, 2020. Novel coronavirus pneumonia broke out and spread to the whole nation since December 2019. The fight against the virus is now at a critical stage. Previous epidemiological investigations and animal experiments suggested aerosol could perform as a virus transmitter. Based on the clinical observation, the possibility of aerosol transmission of 2019 novel coronavirus has aroused much attention. This article focuses on the feature of aerosol transmission and the pathogens involved in. We analyze the possibility of aerosol transmission of the novel coronavirus. Relevant strategies for preventing novel coronavirus pneumonia are established for the medical personnel and general public during their work or daily life. (Chin J Ophthalmol, 2020, 56:653-656).

[Analysis of the diagnotic results and complications of pneumoconiosis patients with different insurance types].

Objective: By comparing the diagnotic results and complications of pneumoconiosis patients with work-related injury insurance and non-work-related injury insurance, to provide reference for improving the medical insurance of pneumoconiosis patients. Methods: In May 2019, the diagnotic results and complications of 3204 patients with pneumoconiosis who were hospitalized in the second department of Hunan Prevention and Treatment Institute for Occupational Diseases from January 2017 to March 2019 were retrospectively analyzed. Results: Among the 3204 patients, 896 cases (28.0%) were in stage I, 790 cases (24.6%) were in stage II, and 1518 cases (47.4%) were in stage III. 1490 cases (46.5%) of pneumoconiosis patients have complications, mainly chronic obstructive pulmonary disease (COPD) (42.3%, 1354/3204) and lung infection (23.6%, 755/3204) . 584 cases (18.2%) were covered by work-related injury insurance, and the diagnosis of pneumoconiosis patients was mainly in the stage I (61.0%, 356/584) . 2620 cases (81.8%) were covered by non-work-related injury insurance, and the diagnosis of pneumoconiosis patients was mainly in the stage III (56.0%, 1466/2620) . The complication rate of non-work-related injury insurance patients (50.1%, 1312/2620) was higher than that of work-related injury insurance patients (30.5%, 178/584) (χ(2)=73.72, P<0.01) . Conclusion: The inpatients with pneumoconiosis in Hunan Province are still mainly covered by non-work-related injury insurance, and the diagnotic period and complication rate are significantly higher than those of work-related injury insurance patients. Therefore, pneumoconiosis patients should be provided with medical security, early diagnosis and early intervention, to prevent and delay the occurrence of complications.

[Clinical effects of surgical treatment of high myopic strabismus fixus by modified Yokoyama's surgery combined with medial rectus muscle recession].

Objective: To analyze clinical effects of modified Yokoyama's surgery combined with medial rectus muscle recession for treatment of high myopic strabismus fixus. Methods: Retrospective analysis of records of 9 patients (14 eyes) with high myopic strabismus fixus treated from February 2013 to December 2016 in the Department of Ophthalmology, Xiangya Hospital, Central South University. All patients underwent modified Yokoyama's surgery. The temporal 1/2 of the superior rectus (SR) and the superior 1/2 of the lateral rectus (LR) were united 12 to 14 mm, combined with medial rectus muscle recession. The angle of deviation of primary position, the mobility of the affected eye, and the change of CT imaging were observed and analyzed before and 6 months after surgery. Statistical analysis was performed by Mann-Whitney U test. Results: The patients were 5 females and 4 males with an average age of (60±10) years. The duration of high myopia was (33.33±6.61) years. The refractive power was (-23.32±5.95) D, and the axial length was (33.04±2.63) mm. The recession mount of medial rectus was (7.2±2.1) mm (4.0-10.0 mm) intraoperatively. At 6 months, the median esotropia improved from 130 (80-140) prism diopter (PD) to 0 (0-10) PD, and the hypotropia from 20 (15-25) PD to 0 (0-5) PD. The median abduction limitation decreased from -3 (-4--1) to -1 (-2-0), and the median limitation of elevation decreased from -2 (-4--1) to 0 (-1-0). The angle of esotropia and hypotropia significantly improved (Z=-2.67, -2.70; P=0.008, 0.007), and the restriction of abduction and elevation decreased (Z=-3.35, -3.24; both P=0.001). Only 3 patients' CT images were enrolled in a comparative study. Preoperative orbital CT scans showed inferior LR displacement and medial SR displacement with the posterior portion of the eyeball to the superotemporal quadrant of the orbit. After surgery, the mean reduction ratio of dislocation degree of the 3 patients was 28.97%, the dislocation of LR and SR was reduced, and the posterior global part was correctly positioned within the orbit. Conclusions: The modified Yokoyama's surgery combined with medial rectus muscle recession can effectively correct high myopic strabismus fixus, recover the eyeball anatomical position, and evidently improve eye mobility. The clinical effects are satisfactory. (Chin J Ophthalmol, 2019, 55: 670-676).

CiteSpace-based Document Information Visualization of Literature Published by Journal of Forensic Medicine from 1985 to 2018.

ABSTRACT: Objective To analyze a knowledge web of the literature published by Journal of Forensic Medicine from its founding in 1985 to 2018, describe the evolving process of forensic science research and explore the research hotspots and frontiers at present. Methods The literature that was published by Journal of Forensic Medicine from 1985 to 2018 was collected and analyzed in terms of elements, such as emerging research hotspots, high frequency keywords, authors, dispatching units, location of institution and funding, by CiteSpace5.3 information visualization analysis software. Results All disciplines of forensic medicine were continually developing and maturing, and the publication volume of the literature on forensic pathology had the highest weight; in research hotspots, the two categories, research and identification each had their own emphasis; as the main source of contributions to the journal, research institutes accounted for 38.99% of the total number of publications; Shanghai ranked first among all regions with 1 046 articles published. The number of funded articles was generally on the rise, with the number of funded articles published largest in 2015. Conclusion As an authoritative academic journal in the field of forensic science in China, Journal of Forensic Medicine carries the development of forensic science and witnesses the institutional reform of universities and colleges, and offers a wide range of communication and cooperation in terms of technicality and application. Many scholars and scientific research institutions have gained progress continually in various research directions in the form of teamwork; and emerging research hotspots will continue to play a huge role in future practical applications.

[Evaluation of the diagnosis value of carcinoembryonic antigen in malignant pleural effusion].

Objective: To investigate the diagnostic value of serum and pleural fluid carcinoembryonic antigen (CEA) for malignant pleural effusion (MPE). Methods: The concentration of CEA in serum and pleural fluid of 286 patients with the diagnosis confirmed by pleural biopsy through medical thoracoscopy were retrospectively analyzed. MPE was confirmed in 171 cases which were divided into two groups (adenocarcinoma group with 121cases and non-adenocarcinoma group with 50 cases) and benign pleural effusion in 115 cases. The optimal cutoff for MPE and MPE caused by adenocarcinoma were determined by using the ROC curve. Results: The concentration of serum CEA 12.27(3.80, 58.45) µg/L was significantly higher in MPE caused by adenocarcinoma than that of non-adenocarcinoma 1.91(1.08, 4.55) µg/L and benign effusion 1.32(0.86, 2.27) µg/L (both P<0.001), but there was no statistically significant difference between benign and non-adenocarcinoma effusion (P=0.728). The concentration of pleural fluid CEA 160.70(30.48, 1 000.00) µg/L was significantly higher in MPE caused by adenocarcinoma than that of non-adenocarcinoma 1.77(0.51, 11.39) µg/L and benign effusion 1.09(0.60, 1.68) µg/L (both P<0.001), and higher in non-adenocarcinoma effusion than that of benign effusion (P<0.05). The cutoff value of serum and pleural fluid CEA for MPE was 3.10 and 5.83 µg/L, the sensitivity respectively was 67.3% and 74.3%, the specificity respectively was 87.8% and 98.3%, positive predictive value respectively was 89.2% and 98.5%, negative predictive value respectively was 64.3% and 72.0%. The cutoff value of serum and pleural fluid CEA for MPE caused by adenocarcinoma was 3.54 and 7.30 µg/L, the sensitivity respectively was 76.0% and 91.7%, the specificity respectively was 74.0% and 72.0%, positive predictive value respectively was 87.6% and 88.8%, negative predictive value respectively was 56.1% and 78.3%. Conclusions: The concentration of serum and pleural fluid CEA have diagnostic significance to MPE, especially MPE caused by adenocarcinoma. The diagnostic value of pleural fluid CEA is superior to serum CEA.

[A clinical report of five cases of central nervous system miliary tuberculomas first diagnosed by neurologists].

To explore the clinical characteristics and imaging features of miliary tuberculomas in central nervous system(CNS). A total of 5 cases diagnosed with tuberculosis in CNS first diagnosed by neurologists in Navy General Hospital of PLA were enrolled in the study. All clinical and imaging data were collected and analyzed retrospectively. The main initial symptoms were fever and headache (4/5). Multiple diffused miliary lesions were shown by brain MRI, with maximum diameter ranged from 1-4 mm and ring-shape or nodular enhancement after gadolinium injection. As mycobacterium tuberculosis could seldomly be found in serum and cerebrospinal fluid, contrast MRI remains the effective method for detecting miliary tuberculomas in CNS.