Purpose To discuss the feasibility of evaluating left ventricular systolic function in patients with acute anterior myocardial infarction (AAMI) with three-dimensional speckle tracking imaging (3D-STI). Materials and Methods Thirty AAMI patients were examined with 3D-STI technique in terms of left ventricular longitudinal strain (LS), radial strain (RS), circumferential strain (CS), area strain (AS), global longitudinal strain (GLS), global riadial strain (GRS), global circumferential strain (GCS) and global area strain (GAS). The results were compared with those of 30 healthy persons and the strain values in normal segments of those AAMI patients. The threshold, sensibility and specificity of those parameters in diagnosing myocardial infarction were analyzed. Results Compared with healthy group, LS reduced in 12 out of 17 segments (12/17), RS reduced in 10/17, CS in 9/17 and AS in 11/17;they mainly focused in the base segment, middle and apex of anterior wall, the base segment and the middle of anterior septal, the apex of aboral septal, and the middle segment, apex of the lateral wall. The GLS, GRS, GCS and GAS were all lower than those in healthy group (differences with statistic signiifcance:P<0.05). In AAMI patient, LS, RS, CS and AS in the infarcted segments were lower compared with those in the normal segments (differences with statistic signiifcance:P<0.05). ROC curve analysis showed that the sensitivity of LS, RS, CS and AS were 89.2%, 79.0%, 77.9%, 85.3%, respectively in the diagnosis of myocardial infarction, and the speciifcity were 65.8%, 71.0%, 66.9%and 92.3%, respectively. The sensitivity of the GLS, GRS, GCS and GAS were 91.2%, 74.0%, 68.9%, 85.3%, respectively in the diagnosis of myocardial infarction, and the speciifcity were 69.8%, 71.0%, 76.9%and 93.3%, respectively. Conclusion 3D-STI can detect the strain values of LV segments efficiently and accurately so as to discriminate normal and infracted segments, which provides a reliable measurement to evaluate the extent of the infarction of the patients with acute anterior wall myocardial infarction.

AIM: To investigate the effect of cyclin B1 antisense oligodeoxynucleotide (ASON) with liposomal transfection on proliferation of HL60 cells. METHODS: After cyclin B1 ASON with liposomal transfection was used in vitro co-culture with HL60 cells,the protein and mRNA expression levels of cyclin B1 were measured by flow cytometry and RT-PCR. The cell apoptosis was detected by electron microscopy, in situ cell apoptosis detection kit (POD),DNA agarose gel electrophoresis and flow cytometry. RESULTS: In cyclin B1 ASON group the protein and mRNA expression levels of cyclin B1 were significantly inhibited than those in sense oligodeoxynucleotide (SON) group and blank group. Morever,when the ASON concentration increased,the proliferation ratio of HL60 cells and CFU-HL60 clony unit were also significantly inhibited. The apoptosis of HL60 cells was also observed. CONCLUSION: Cyclin B1 ASON specifically inhibited its protein and mRNA expression levels as well as the HL60 cell proliferations and induced leukemia cell apoptosis. It's effect depended upon the concentration of ASON.

This study aims to provide a computer-aided method for the diagnosis of fatty liver by B-scan ultrasonic imaging. Fatty liver is referred to the infiltration of triglycerides and other fats of the liver cells, which affected the texture of liver tissue. In this paper, some features including mean intensity ratio, as well as angular second moment, entropy and inverse differential moment of gray level co-occurrence matrix were extracted from B-scan ultrasonic liver images. Feature vectors which indicated two classes of images were created with the four features. Then we used kappa-means clustering algorithm, self-organized feature mapping (SOFM) artificial neural network and back-propagation (BP) artificial neural network to classify these vectors. The accuracy rate of kappa-means clustering algorithm was 100% for normal liver and 63.6% for fatty liver. The results of SOFM neural network showed that the accuracy rate was 84.8% for normal liver and 90.9% for fatty liver. The accuracy rate of neural network was 100% both for normal liver and fatty liver. This technology could detect the characteristics of B-scan images of normal liver and fatty liver more accurately. It could greatly improve the accuracy of the diagnosis of fatty liver.
Diagnosis, Differential ; Fatty Liver ; diagnostic imaging ; Humans ; Image Processing, Computer-Assisted ; methods ; Lung ; diagnostic imaging ; Neural Networks (Computer) ; Sensitivity and Specificity ; Ultrasonography

Objective To observe the effects of chemotherapy on nutritional status and quality of life in elderly patients aged 60 years and over with stage Ⅲ or Ⅳ non-small-cell lung cancer,who were unable to undergo molecular-targeted drug therapy according to genetic testing.Methods A total of 100 elderly patients with stage Ⅲ or Ⅳ non-small cell lung cancer were randomized into an observation group(n=50)and a control group(n=50).Patients in the observation group were treated with GP regimen(gemcitabine+ cisplatin),while patients in the control group were treated with TP regimen(paclitaxel+cisplatin).The scores of nutritionally relevant indicators and quality of life were compared between the two groups.Results After chemotherapy,the body weight,body mass index,plasma total protein,plasma albumin,and triglyceride concentrations were significantly lower in the GP regimen group than in the TP regimen group(P＜0.0001,P =0.0027,P =0.0305,P＜0.0001,P＜ 0.0001,respectively).The overall health status score,physical function,role function,and emotional function scores were higher in the GP group than in the TP group(P =0.0017,0.0044,0.0064,0.006,respectively) after chemotherapy.The scores of shortness of breath,insomnia,loss of appetite,constipation,and diarrhea were significantly lower in the GP group than in the TP group(P =0.0067,P ＜0.0001,P =0.0026,P =0.0066,P =0.0023).The clinical effective rate was significantly higher in GP regimen than in TP regimen(56.0％ vs 30.0％,x2 =6.90,P=0.009).The incidence of grade Ⅰ adverse reactions was higher in the observation group (54.0％,27/50 cases),and the incidences of grade Ⅱ,Ⅲ and Ⅳ adverse reactions were higher in the control group(36.0％,18/50 cases;24.0％,12/50 cases;and 24.0％,12/50 cases,respectively) (x2 =16.40,P =0.001).Conclusions The TP chemotherapy is more beneficial to patients' nutrition,while the GP chemotherapy can achieve both higher clinical efficacy and better quality of life.

Objective To explore the value of contrast-enhanced ultrasonography ( CEUS ) breast predictive model in the optimization of BI-RADS classification of breast lesions . Methods A total of 1049 BI-RADS 4 ,5 breast lesions were obtained from 1039 patients in 8 centers . CEUS examination was performed prior to biopsy or surgery . According to the classification of the model ,class 3 ,4A ,4B and 4C were selected as biopsy thresholds ,and the ROC curve was drawn . The diagnostic sensitivity ,specificity , accuracy ,positive predictive value ,negative predictive value and Jordanian index were calculated for the biopsy threshold . The biopsy rate of breast lesions before and after angiography ,cancer detection rate , follow-up cases of malignant risk were compared . Results There were benign lesions 586 ( 55 .9％ ) , malignant lesions 463 (44 .1％ ) in the 1049 breast lesions . The area of ROC with thresholds of 3 ,4A ,4B and 4C were 0 .695 ,0 .838 ,0 .847 and 0 .757 ,respectively ( all P < 0 .01) . Ultrasonography had a certain diagnostic effect on benign and malignant breast lesions . The diagnostic sensitivity ,specificity ,accuracy , positive predictive value and negative predictive value with class 4A after CEUS set as the biopsy threshold were 93 .32％ ,75 .65％ ,82 .75％ ,75 .57％ and 93 .35％ ,respectively ,and the Jordanian index was 0 .690 . When chass 3 after CEUS was set as the biopsy threshold ,the biopsy rate was reduced from 100％ to 76 .74％ ,the detection rate was increased from 44 .23％ to 56 .77％ ,and the risk of cancer was only 0 .67％ in the follow-up cases . When class 4A was set as the biopsy threshold ,the biopsy rate was reduced from 100％ to 55 .58％ after CEUS . The detection rate of cancer increased from 44 .23％ to 74 .44％ . The risk of cancer was 2 .96％ . Conclusions The biopsy rate of breast lesions in category 4 and 5 would be reduced and cancer detection rate of them would be increased after CEUS ,however ,the risk of malignancy in the follow -up cases would be controlled as low as category 3 and 4A in previous BI-RADS . Thus ,CEUS has a good prospect of in optimizing BI-RADS and reducing biopsy rate in unnecessary lesions .

Objective To explore the consistency of different physicians in diagnosis of malignant breast lesions with breast CEUS predictive model.Methods Totally 953 patients with solitary breast nodule from multicenter who underwent ultrasound and CEUS were collected.The research team was composed by the initial group (one junior physician from each hospital),check group (one or two physicians who had at least two-year experience of CEUS examination from each hospital),research group (two senior physicians from Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital) and cross-blinded group (one or two vice directors or chief physicians from each hospital).At first,the lesions were classified according to the breast imaging reporting and data system (BI RADS) by the initial group and the check group,then new BI RADS classifications were performed by research group and cross blind group with breast CEUS predictive model.The consistency of different physicians in diagnosis of malignant breast lesions was analyzed.Results Among 953 patients,benign lesions were found in 451 patients (451/953,47.32％),malignant lesions were found in 435 patients (435/953,45.65％),and precancerous lesions were found in 67 patients (67/953,7.03％).The accuracy of the initial group,check group,research group and cross-blinded group was 71.67％(683/953),74.92％(714/953),80.17％ (764/953) and 83.42 ％ (795/953),respectively.The consistency of different physicians for diagnosis of malignant breast lesions between initial group and check group was good (Kappa =0.82,P＜0.001),while between initial group and crossblinded group,initial group and research group were both moderate (Kappa =0.56,0.41;all P＜0.001).The consistency of different physicians for diagnosis of malignant breast lesions between cheek group and cross-blinded group,between check group and research group were both moderate (Kappa =0.68,0.51;all P＜0.001).The consistency between research group and cross-blinded group with breast CEUS predictive model was moderate (Kappa =0.74,P＜ 0.001).Conclusion The consistency of different physicians in diagnosis of malignant breast lesions with breast CEUS predictive model was moderate.

Objective To evaluate the diagnostic value of contrast-enhanced ultrasound in breast precancerous lesions . Methods Retrospectively analyzed the contrast-enhanced ultrasound model and angiographic predictive model of 465 cases of the A prospective multicenter study of breast nodules contrast-enhanced ultrasound" that led the Sichuan Provincial People′s Hospital from January 2016 to April 2017 ,which included 69 cases of breast precancerous lesions and 396 other types benign lesions ,and the sensitivity ,specificity and accuracy of the diagnosis of breast precancerous lesions were calculated . Results The sensitivity of ultrasound predictive model for the diagnosis of precancerous lesions was 60 .9％ and AUC was 0 .681 . Precancerous lesions mainly showed non-concentricity , increased homogeneity , and increased lesions;other types of benign lesions mainly showed non-centripetal ,high uniformity enhancement and lesion size unchanged . Conclusions Contrast-enhanced ultrasound shows a potential value in the differential diagnosis of precancerous lesions and other types of benign lesions ,that can help clinicians to take early intervention measures for breast precancerous lesions ,but there are still many problems to be solved .